G.  Aliyev and Nanni, M., ?Exploiting Vehicular Data for Exposure-Aware Pedestrian Routing?, in 2025 26th IEEE International Conference on Mobile Data Management (MDM), 2025.

G.  Aliyev and Nanni, M., ?From GPS Traces to Individual Emission Exposure: A Data-Driven Four-Step Process?, in Intelligent Transport Systems, Cham, 2025.

G.  Aliyev, ?Optimization of Exposure-Aware Routing for Vehicles and Pedestrians?, in Proceedings of the 19th International Symposium on Spatial and Temporal Data (SSTD '25), Osaka, Japan, 2025.

G.  Aliyev and Nanni, M., ?Vehicle-Pedestrian Optimization Framework for Exposure-Aware Routing?, Mobile Networks and Applications, 2025.

L.  Corbucci, Monreale, A., and Pellungrini, R., ?Enhancing Privacy and Utility in Federated Learning: A Hybrid P2P and Server-Based Approach with Differential Privacy Protection?, in Proceedings of the 21st International Conference on Security and Cryptography - SECRYPT, 2024.

B.  Muscato, Mala, C. Sree, Manerba, M. Marchiori, Gezici, G., and Giannotti, F., ?An Overview of Recent Approaches to Enable Diversity in Large Language Models through Aligning with Human Perspectives?, in Proceedings of the 3rd Workshop on Perspectivist Approaches to NLP (NLPerspectives) @ LREC-COLING 2024, Torino, Italia, 2024.

L.  Corbucci, Heikkila, M. A., Noguero, D. Solans, Monreale, A., and Kourtellis, N., ?PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning?, 2024.

A.  Monreale, Naretto, F., and Rizzo, S., ?Agnostic Label-Only Membership Inference Attack?, in 17th International Conference on Network and System Security, 2023.

G.  Aliyev, ?Analysis, Prediction and Mitigation of Exposure to Vehicular Air Pollution Based on Multi-Source Urban Data.?, in SEBD 2023: 31st Symposium on Advanced Database Systems, Galzignano Terme (PD), Italy, July 2?5, 2023, 2023.

A.  Failla, Citraro, S., and Rossetti, G., ?Attributed Stream Hypergraphs: temporal modeling of node-attributed high-order interactions?, Applied Network Science, vol. 8, pp. 1?19, 2023.

A.  Pugnana and Ruggieri, S., ?AUC-based Selective Classification?, in International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain, 2023.

F.  Naretto, Monreale, A., and Giannotti, F., ?Evaluating the Privacy Exposure of Interpretable Global and Local Explainers?, in Submitted at Journal of Artificial Intelligence and Law, 2023.

F.  Naretto, Pellungrini, R., Fadda, D., and Rinzivillo, S., ?EXPHLOT: EXplainable Privacy assessment for Human LOcation Trajectories?, in Discovery Science , 2023.

A.  Fedele, ?Explain and Interpret Few-Shot Learning?, in Joint Proceedings of the xAI-2023 Late-breaking Work, Demos and Doctoral Consortium co-located with the 1st World Conference on eXplainable Artificial Intelligence (xAI-2023), Lisbon, Portugal, July 26-28, 2023, 2023.

L.  Corbucci, Guidotti, R., and Monreale, A., ?Explaining Black-Boxes in Federated Learning?, in Explainable Artificial Intelligence, Cham, 2023.

, ?Fair Federated Learning methodology based on Multi-Objective Optimization?, Submitted at JAIR, 2023.

A.  Knott, Pedreschi, D., Chatila, R., Chakraborti, T., Leavy, S., Baeza-Yates, R., Eyers, D., Trotman, A., Teal, P. D., Biecek, P., Russell, S., and Bengio, Y., ?Generative AI models should include detection mechanisms as a condition for public releaseAbstract?, Ethics and Information Technology, vol. 25, 2023.

D.  Gambetta, Mauro, G., and Pappalardo, L., ?Mobility Constraints in Segregation Models?, Scientific Reports, vol. 13, p. 12087, 2023.

A.  Pugnana and Ruggieri, S., ?A Model-Agnostic Heuristics for Selective Classification?, in Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, 2023, Washington, DC, USA, February 7-14, 2023, 2023.

A.  Pugnana, ?Topics in Selective Classification?, in Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, 2023.

A.  Failla, Mazzoni, F., and Citraro, S., ?Attribute-aware Community Events in Feature-rich Dynamic Networks?, in Complex Networks and Their Applications XI: Proceedings of The Eleventh International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2022?Book of Abstracts, 2022.

A.  Failla, Citraro, S., and Rossetti, G., ?Attributed stream-hypernetwork analysis: homophilic behaviors in pairwise and group political discussions on reddit?, in International Conference on Complex Networks and Their Applications, 2022.

P.  Resce, Vorwerk, L., Han, Z., Cornacchia, G., Alamdari, O. Isfahani, Nanni, M., Pappalardo, L., Weimer, D., and Liu, Y., ?Connected Vehicle Simulation Framework for Parking Occupancy Prediction (Demo Paper)?, in Proceedings of the 30th International Conference on Advances in Geographic Information Systems, New York, NY, USA, 2022.

F.  Bodria, Rinzivillo, S., Fadda, D., Guidotti, R., Giannotti, F., and Pedreschi, D., ?Explaining Black Box with visual exploration of Latent Space?, EuroVis?Short Papers, 2022.

A.  Fedele, Guidotti, R., and Pedreschi, D., ?Explaining Siamese Networks in Few-Shot Learning for Audio Data?, in Discovery Science - 25th International Conference, DS 2022, Montpellier, France, October 10-12, 2022, Proceedings, 2022.

V.  Pansanella, Rossetti, G., and Milli, L., ?From Mean-Field to Complex Topologies: Network Effects on the Algorithmic Bias Model?, in Complex Networks & Their Applications X, 2022.

G.  Mauro, Luca, M., Longa, A., Lepri, B., and Pappalardo, L., ?Generating mobility networks with generative adversarial networks?, EPJ data science, vol. 11, p. 58, 2022.

D.  Fadda, Natilli, M., and Rinzivillo, S., ?GET-Viz: a library for automatic generation of visual dashboard for geographical time series?, 8th International Conference on Computational Social Science (IC2S2). Chicago, USA, 2022.

G.  Cornacchia, Böhm, M., Mauro, G., Nanni, M., Pedreschi, D., and Pappalardo, L., ?How Routing Strategies Impact Urban Emissions?, in Proceedings of the 30th International Conference on Advances in Geographic Information Systems, New York, NY, USA, 2022.

M.  Natilli, Rossi, A., Trecroci, A., Cavaggioni, L., Merati, G., and Formenti, D., ?The long-tail effect of the COVID-19 lockdown on Italians? quality of life, sleep and physical activity?, Scientific Data, vol. 9, pp. 1?10, 2022.

A. Rita Nogueira, Pugnana, A., Ruggieri, S., Pedreschi, D., and Gama, J., ?Methods and tools for causal discovery and causal inference?, WIREs Data Mining Knowl. Discov., vol. 12, 2022.

M.  Fontana, Naretto, F., Monreale, A., and Giannotti, F., ?Monitoring Fairness in HOLDA?, in HHAI 2022: Augmenting Human Intellect - Proceedings of the First International Conference on Hybrid Human-Artificial Intelligence, Amsterdam, The Netherlands, 13-17 June 2022, 2022.

L.  Corbucci, Monreale, A., Panigutti, C., Natilli, M., Smiraglio, S., and Pedreschi, D., ?Semantic Enrichment of XAI Explanations for Healthcare?, 24th International Conference on Artificial Intelligence. 2022.

R.  Trasarti, Grossi, V., Natilli, M., and Rapisarda, B., ?SoBigData++: European Integrated Infrastructure for Social Mining and Big Data Analytics.?, 30th Italian Symposium on Advanced Database Systems (SEBD ? Sistemi Evoluti per Basi di Dati). Tirrenia, Pisa, 2022.

R.  Guidotti, Monreale, A., Ruggieri, S., Naretto, F., Turini, F., Pedreschi, D., and Giannotti, F., ?Stable and actionable explanations of black-box models through factual and counterfactual rules?, Data Mining and Knowledge Discovery, 2022.

F.  Bodria, Giannotti, F., Guidotti, R., Naretto, F., Pedreschi, D., and Rinzivillo, S., ?Benchmarking and Survey of Explanation Methods for Black Box Models?, CoRR, vol. abs/2102.13076, 2021.

S. Marina Joseph, Citraro, S., Morini, V., Rossetti, G., and Stella, M., ?Cognitive network science quantifies feelings expressed in suicide letters and Reddit mental health communities?, arXiv preprint arXiv:2110.15269, 2021.

G.  Rossetti, Citraro, S., and Milli, L., ?Conformity: a Path-Aware Homophily measure for Node-Attributed Networks?, IEEE Intelligent SystemsIEEE Intelligent Systems, pp. 1 - 1, 2021.

F.  Lillo and Ruggieri, S., ?Estimating the Total Volume of Queries to a Search Engine?, IEEE Transactions on Knowledge and Data Engineering, pp. 1-1, 2021.

F.  Giannotti, Naretto, F., and Bodria, F., ?Explainable for Trustworthy AI?, in Human-Centered Artificial Intelligence - Advanced Lectures, 18th European Advanced Course on AI, ACAI 2021, Berlin, Germany, October 11-15, 2021, extended and improved lecture notes, 2021.

L.  Pappalardo, Rossi, A., Natilli, M., and Cintia, P., ?Explaining the difference between men?s and women?s football?, PLOS ONE, vol. 16, p. e0255407, 2021.

M.  Nanni, Andrienko, G., Barabasi, A. - L., Boldrini, C., Bonchi, F., Cattuto, C., Chiaromonte, F., Comandé, G., Conti, M., Coté, M., Dignum, F., Dignum, V., Domingo-Ferrer, J., Ferragina, P., Giannotti, F., Guidotti, R., Helbing, D., Kaski, K., Kertész, J., Lehmann, S., Lepri, B., Lukowicz, P., Matwin, S., Jiménez, D. Megías, Monreale, A., Morik, K., Oliver, N., Passarella, A., Passerini, A., Pedreschi, D., Pentland, A., Pianesi, F., Pratesi, F., Rinzivillo, S., Ruggieri, S., Siebes, A., Torra, V., Trasarti, R., van den Hoven, J., and Vespignani, A., ?Give more data, awareness and control to individual citizens, and they will help COVID-19 containment?, 2021.

M.  Setzu, Guidotti, R., Monreale, A., Turini, F., Pedreschi, D., and Giannotti, F., ?GLocalX - From Local to Global Explanations of Black Box AI Models?, vol. 294, p. 103457, 2021.

L.  Pappalardo, Grossi, V., and Pedreschi, D., ?Introduction to the special issue on social mining and big data ecosystem for open, responsible data science?, 2021.

G.  Cornacchia and Pappalardo, L., ?A Mechanistic Data-Driven Approach to Synthesize Human Mobility Considering the Spatial, Temporal, and Social Dimensions Together?, ISPRS International Journal of Geo-Information, vol. 10, p. 599, 2021.

M.  Fontana, Naretto, F., and Monreale, A., ?A new approach for cross-silo federated learning and its privacy risks?, in 2021 18th International Conference on Privacy, Security and Trust (PST), 2021.

M.  Fontana, Naretto, F., and Monreale, A., ?A new approach for cross-silo federated learning and its privacy risks?, in 18th International Conference on Privacy, Security and Trust, PST 2021, Auckland, New Zealand, December 13-15, 2021, 2021.

G.  Mariani, Monreale, A., and Naretto, F., ?Privacy Risk Assessment of Individual Psychometric Profiles?, in Discovery Science - 24th International Conference, DS 2021, Halifax, NS, Canada, October 11-13, 2021, Proceedings, 2021.

G.  Cornacchia and Pappalardo, L., ?STS-EPR: Modelling individual mobility considering the spatial, temporal, and social dimensions together?, 2021.

V.  Morini, Pollacci, L., and Rossetti, G., ?Toward a Standard Approach for Echo Chamber Detection: Reddit Case Study?, Applied Sciences, vol. 11, p. 5390, 2021.

V.  Lorenzoni, Triulzi, I., Martinucci, I., Toncelli, L., Natilli, M., Barale, R., and Turchetti, G., ?Understanding eating choices among university students: A study using data from cafeteria cashiers? transactions?, Health Policy, vol. 125, pp. 665?673, 2021.

M.  Natilli, Fadda, D., Rinzivillo, S., Pedreschi, D., and Licari, F., ?Analysis and Visualization of Performance Indicators in University Admission Tests?, in Formal Methods. FM 2019 International Workshops, Cham, 2020.

G.  Rossetti, ?ANGEL: efficient, and effective, node-centric community discovery in static and dynamic networks?, Applied Network Science, vol. 5, pp. 1?23, 2020.

D.  Pedreschi and Miliou, I., ?Artificial Intelligence (AI): new developments and innovations applied to e-commerce?, European Parliament's committee on the Internal Market and Consumer Protection, 2020.

B.  Dong, Wang, H., Monreale, A., Pedreschi, D., Giannotti, F., and Guo, W., ?Authenticated Outlier Mining for Outsourced Databases?, IEEE Transactions on Dependable and Secure Computing, vol. 17, pp. 222 - 235, 2020.

E.  Ntoutsi, Fafalios, P., Gadiraju, U., Iosifidis, V., Nejdl, W., Vidal, M. - E., Ruggieri, S., Turini, F., Papadopoulos, S., Krasanakis, E., and others, ?Bias in data-driven artificial intelligence systems?An introductory survey?, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 10, p. e1356, 2020.

R.  Guidotti, Monreale, A., Matwin, S., and Pedreschi, D., ?Black Box Explanation by Learning Image Exemplars in the Latent Feature Space?, in Machine Learning and Knowledge Discovery in Databases, Cham, 2020.

G.  Rossetti, Morini, V., and Pollacci, L., ?Capturing Political Polarization of Reddit Submissions in the Trump Era?, in SEBD, 2020.

B.  Qureshi, Kamiran, F., Karim, A., Ruggieri, S., and Pedreschi, D., ?Causal inference for social discrimination reasoning?, vol. 54, pp. 425 - 437, 2020.

G.  Rossetti, Citraro, S., and Milli, L., ?Conformity: A Path-Aware Homophily Measure for Node-Attributed Networks?, arXiv preprint arXiv:2012.05195, 2020.

J.  Kim, Sirbu, A., Giannotti, F., and Gabrielli, L., ?Digital Footprints of International Migration on Twitter?, in International Symposium on Intelligent Data Analysis, 2020.

C.  Panigutti, Perotti, A., and Pedreschi, D., ?Doctor XAI: an ontology-based approach to black-box sequential data classification explanations?, in Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, 2020.

A.  Rossi, Pedreschi, D., Clifton, D. A., and Morelli, D., ?Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts?, Sensors, vol. 20, p. 7122, 2020.

V.  Voukelatou, Pappalardo, L., Gabrielli, L., and Giannotti, F., ?Estimating countries? peace index through the lens of the world news as monitored by GDELT?, in 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA)2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA), 2020.

N.  Forgó, Hänold, S., van den Hoven, J., Krügel, T., Lishchuk, I., Mahieu, R., Monreale, A., Pedreschi, D., Pratesi, F., and van Putten, D., ?An ethico-legal framework for social data science?, 2020.

R.  Cazabet, Boudebza, S., and Rossetti, G., ?Evaluating community detection algorithms for progressively evolving graphs?, arXiv preprint arXiv:2007.08635, 2020.

F.  Bodria, Panisson, A., Perotti, A., and Piaggesi, S., ?Explainability Methods for Natural Language Processing: Applications to Sentiment Analysis.?, in SEBD, 2020.

O.  Lampridis, Guidotti, R., and Ruggieri, S., ?Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars?, in Discovery Science, Cham, 2020.

M.  Setzu, Guidotti, R., Monreale, A., and Turini, F., ?Global Explanations with Local Scoring?, in Machine Learning and Knowledge Discovery in Databases, Cham, 2020.

A.  Sirbu, Andrienko, G., Andrienko, N., Boldrini, C., Conti, M., Giannotti, F., Guidotti, R., Bertoli, S., Kim, J., Muntean, C. Ioana, Pappalardo, L., Passarella, A., Pedreschi, D., Pollacci, L., Pratesi, F., and Sharma, R., ?Human migration: the big data perspective?, International Journal of Data Science and Analytics, pp. 1?20, 2020.

S.  Citraro and Rossetti, G., ?Identifying and exploiting homogeneous communities in labeled networks?, Applied Network Science, vol. 5, pp. 1?20, 2020.

R.  Guidotti and Rossetti, G., ??Know Thyself? How Personal Music Tastes Shape the Last.Fm Online Social Network?, in Formal Methods. FM 2019 International Workshops, Cham, 2020.

P.  Bonato, Cintia, P., Fabbri, F., Fadda, D., Giannotti, F., Lopalco, P. Luigi, Mazzilli, S., Nanni, M., Pappalardo, L., Pedreschi, D., Penone, F., Rinzivillo, S., Rossetti, G., Savarese, M., and Tavoschi, L., ?Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown?. 2020.

R.  Pellungrini, Pappalardo, L., Simini, F., and Monreale, A., ?Modeling Adversarial Behavior Against Mobility Data Privacy?, IEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on Intelligent Transportation Systems, pp. 1 - 14, 2020.

G.  Cornacchia, Rossetti, G., and Pappalardo, L., ?Modelling Human Mobility considering Spatial, Temporal and Social Dimensions?, arXiv preprint arXiv:2007.02371, 2020.

C.  Toccaceli, Milli, L., and Rossetti, G., ?Opinion Dynamic Modeling of Fake News Perception?, in International Conference on Complex Networks and Their Applications, 2020.

F.  Naretto, Pellungrini, R., Monreale, A., Nardini, F. Maria, and Musolesi, M., ?Predicting and Explaining Privacy Risk Exposure in Mobility Data?, in Discovery Science, Cham, 2020.

F.  Naretto, Pellungrini, R., Nardini, F. Maria, and Giannotti, F., ?Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks?, in ECML PKDD 2020 Workshops, Cham, 2020.

F.  Pratesi, Gabrielli, L., Cintia, P., Monreale, A., and Giannotti, F., ?PRIMULE: Privacy risk mitigation for user profiles?, vol. 125, p. 101786, 2020.

P.  Cintia, Fadda, D., Giannotti, F., Pappalardo, L., Rossetti, G., Pedreschi, D., Rinzivillo, S., Bonato, P., Fabbri, F., Penone, F., Savarese, M., Checchi, D., Chiaromonte, F., Vineis, P., Guzzetta, G., Riccardo, F., Marziano, V., Poletti, P., Trentini, F., Bella, A., Andrianou, X., Del Manso, M., Fabiani, M., Bellino, S., Boros, S., Urdiales, A. Mateo, Vescio, M. Fenicia, Brusaferro, S., Rezza, G., Pezzotti, P., Ajelli, M., and Merler, S., ?The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy?, arXiv preprint arXiv:2006.03141, 2020.

G.  Andrienko, Andrienko, N., Boldrini, C., Caldarelli, G., Cintia, P., Cresci, S., Facchini, A., Giannotti, F., Gionis, A., Guidotti, R., and others, ?(So) Big Data and the transformation of the city?, International Journal of Data Science and Analytics, 2020.

G.  Rossetti, Milli, L., Citraro, S., and Morini, V., ?UTLDR: an agent-based framework for modeling infectious diseases and public interventions?, arXiv preprint arXiv:2011.05606, 2020.

R.  Guidotti, Monreale, A., and Pedreschi, D., ?The AI black box Explanation Problem?, ERCIM NEWS, pp. 12?13, 2019.

A.  Sirbu, Pedreschi, D., Giannotti, F., and Kertész, J., ?Algorithmic bias amplifies opinion fragmentation and polarization: A bounded confidence model?, PloS one, vol. 14, p. e0213246, 2019.

D.  Morelli, Rossi, A., Cairo, M., and Clifton, D. A., ?Analysis of the Impact of Interpolation Methods of Missing RR-intervals Caused by Motion Artifacts on HRV Features Estimations?, Sensors, vol. 19, p. 3163, 2019.

B.  Qureshi, Kamiran, F., Karim, A., Ruggieri, S., and Pedreschi, D., ?Causal inference for social discrimination reasoning?, Journal of Intelligent Information Systems, pp. 1?13, 2019.

G.  Rossetti, Milli, L., and Cazabet, R., ?CDLIB: a python library to extract, compare and evaluate communities from complex networks?, Applied Network Science, vol. 4, p. 52, 2019.

R.  Cazabet and Rossetti, G., ?Challenges in community discovery on temporal networks?, in Temporal Network Theory, Springer, 2019, pp. 181?197.

L.  Milli and Rossetti, G., ?Community-Aware Content Diffusion: Embeddednes and Permeability?, in International Conference on Complex Networks and Their Applications, 2019.

S.  Citraro and Rossetti, G., ?A complex network approach to semantic spaces: How meaning organizes itself?, in SEBD, 2019.

S.  Bruestle, Pappalardo, L., and Guidotti, R., ?Defining Geographic Markets from Probabilistic Clusters: A Machine Learning Algorithm Applied to Supermarket Scanner Data?, Available at SSRN 3452058, 2019.

G.  Calogiuri, Johansen, P. Foss, Rossi, A., and Thurston, M., ?Do ?girls just wanna have fun?? Participation trends and motivational profiles of women in Norway?s ultimate mass participation ski event?, Frontiers in Psychology, vol. 10, p. 2548, 2019.

R. Portocarre Sarmento, Lemos, L., Cordeiro, M., Rossetti, G., and Cardoso, D., ?DynComm R Package?Dynamic Community Detection for Evolving Networks?, arXiv preprint arXiv:1905.01498, 2019.

S.  Citraro and Rossetti, G., ?Eva: Attribute-Aware Network Segmentation?, in International Conference on Complex Networks and Their Applications, 2019.

G.  Rossetti, ?Exorcising the Demon: Angel, Efficient Node-Centric Community Discovery?, in International Conference on Complex Networks and Their Applications, 2019.

C.  Panigutti, Guidotti, R., Monreale, A., and Pedreschi, D., ?Explaining multi-label black-box classifiers for health applications?, in International Workshop on Health Intelligence, 2019.

R.  Guidotti, Monreale, A., Giannotti, F., Pedreschi, D., Ruggieri, S., and Turini, F., ?Factual and Counterfactual Explanations for Black Box Decision Making?, IEEE Intelligent Systems, 2019.

L.  Pappalardo, Barlacchi, G., Pellungrini, R., and Simini, F., ?Human Mobility from theory to practice: Data, Models and Applications?, in Companion of The 2019 World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019., 2019.

R.  Guidotti, Monreale, A., and Cariaggi, L., ?Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers?, in Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2019.

R.  Guidotti and Rossetti, G., ??Know Thyself? How Personal Music Tastes Shape the Last. Fm Online Social Network?, in International Symposium on Formal Methods, 2019.

D.  Pedreschi, Giannotti, F., Guidotti, R., Monreale, A., Ruggieri, S., and Turini, F., ?Meaningful explanations of Black Box AI decision systems?, in Proceedings of the AAAI Conference on Artificial Intelligence, 2019.

L.  Pappalardo, Cintia, P., Ferragina, P., Massucco, E., Pedreschi, D., and Giannotti, F., ?PlayeRank: data-driven performance evaluation and player ranking in soccer via a machine learning approach?, ACM Transactions on Intelligent Systems and Technology (TIST), vol. 10, pp. 1?27, 2019.

R.  Pellungrini, Monreale, A., and Guidotti, R., ?Privacy Risk for Individual Basket Patterns?, in ECML PKDD 2018 Workshops, Cham, 2019.

L.  Pappalardo, Cintia, P., Rossi, A., Massucco, E., Ferragina, P., Pedreschi, D., and Giannotti, F., ?A public data set of spatio-temporal match events in soccer competitions?, Scientific data, vol. 6, pp. 1?15, 2019.

A.  Sirbu, Giannotti, F., Pedreschi, D., and Kertész, J., ?Public opinion and Algorithmic bias?, ERCIM News, 2019.

A.  Rossi, Perri, E., Pappalardo, L., Cintia, P., and F Iaia, M., ?Relationship between External and Internal Workloads in Elite Soccer Players: Comparison between Rate of Perceived Exertion and Training Load?, Applied Sciences, vol. 9, p. 5174, 2019.

F.  Morandin, Amato, G., Gini, R., Metta, C., Parton, M., and Pascutto, G. C., ?SAI a Sensible Artificial Intelligence that plays Go?. 2019.

M.  Malvaldi, Sarò Franco - Vita di Franco Turini, executive chef dell?Università di Pisa. Pisa, Italy: Pisa University Press, 2019, p. 20.

R.  Guidotti and Ruggieri, S., ?On The Stability of Interpretable Models?, in 2019 International Joint Conference on Neural Networks (IJCNN), 2019.

B.  Guidi, Michienzi, A., and Rossetti, G., ?Towards the dynamic community discovery in decentralized online social networks?, Journal of Grid Computing, vol. 17, pp. 23?44, 2019.

A.  Rauber, Trasarti, R., and Giannotti, F., ?Transparency in Algorithmic Decision Making?, ERCIM News, 2019.

D.  Boncoraglio, Deri, F., Distefano, F., Fadda, D., Filippi, G., Forte, G., Licari, F., Natilli, M., Pedreschi, D., and Rinzivillo, S., ?A Visual Analytics Platform to Measure Performance on University Entrance Tests (Discussion Paper)?, 2019.

L.  Milli, Rossetti, G., Pedreschi, D., and Giannotti, F., ?Active and passive diffusion processes in complex networks?, Applied network science, vol. 3, p. 42, 2018.

R.  Pellungrini, Pappalardo, L., Pratesi, F., and Monreale, A., ?Analyzing Privacy Risk in Human Mobility Data?, in Software Technologies: Applications and Foundations - STAF 2018 Collocated Workshops, Toulouse, France, June 25-29, 2018, Revised Selected Papers, 2018.

R.  Guidotti and Ruggieri, S., ?Assessing the Stability of Interpretable Models?, arXiv preprint arXiv:1810.09352, 2018.

G.  Rossetti and Cazabet, R., ?Community Discovery in Dynamic Networks: a Survey?, Journal ACM Computing Surveys, vol. 51, 2018.

L.  Milli, Rossetti, G., Pedreschi, D., and Giannotti, F., ?Diffusive Phenomena in Dynamic Networks: a data-driven study?, in International Conference on Complex Networks CompleNet, Boston March 5-8 2018, 2018.

L.  Gabrielli, Fadda, D., Rossetti, G., Nanni, M., Piccinini, L., Pedreschi, D., Giannotti, F., and Lattarulo, P., ?Discovering Mobility Functional Areas: A Mobility Data Analysis Approach?, in International Workshop on Complex Networks, 2018.

R.  Guidotti, Gabrielli, L., Monreale, A., Pedreschi, D., and Giannotti, F., ?Discovering temporal regularities in retail customers? shopping behavior?, EPJ Data Science, vol. 7, p. 6, 2018.

A.  Rossi, Pappalardo, L., Cintia, P., F Iaia, M., Fernàndez, J., and Medina, D., ?Effective injury forecasting in soccer with GPS training data and machine learning?, PloS one, vol. 13, p. e0201264, 2018.

R.  Guidotti, Soldani, J., Neri, D., and Brogi, A., ?Explaining successful docker images using pattern mining analysis?, in Federation of International Conferences on Software Technologies: Applications and Foundations, 2018.

M.  Natilli, Monreale, A., Guidotti, R., and Pappalardo, L., ?Exploring Students Eating Habits Through Individual Profiling and Clustering Analysis?, in ECML PKDD 2018 Workshops, 2018.

L.  Pollacci, Guidotti, R., Rossetti, G., Giannotti, F., and Pedreschi, D., ?The Fractal Dimension of Music: Geography, Popularity and Sentiment Analysis?, in International Conference on Smart Objects and Technologies for Social Good, 2018.

I.  Martinucci, Natilli, M., Lorenzoni, V., Pappalardo, L., Monreale, A., Turchetti, G., Pedreschi, D., Marchi, S., Barale, R., and de Bortoli, N., ?Gastroesophageal reflux symptoms among Italian university students: epidemiology and dietary correlates using automatically recorded transactions?, BMC gastroenterology, vol. 18, p. 116, 2018.

R. Prieto Curiel, Pappalardo, L., Gabrielli, L., and Bishop, S. Richard, ?Gravity and scaling laws of city to city migration?, PLOS ONE, vol. 13, pp. 1-19, 2018.

R.  Guidotti, Soldani, J., Neri, D., Brogi, A., and Pedreschi, D., ?Helping your docker images to spread based on explainable models?, in Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2018.

G.  Amato, Candela, L., Castelli, D., Esuli, A., Falchi, F., Gennaro, C., Giannotti, F., Monreale, A., Nanni, M., Pagano, P., Pappalardo, L., Pedreschi, D., Pratesi, F., Rabitti, F., Rinzivillo, S., Rossetti, G., Ruggieri, S., Sebastiani, F., and Tesconi, M., ?How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science?, in A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years, S.  Flesca, Greco, S., Masciari, E., and Saccà, D., Eds. Cham: Springer International Publishing, 2018, pp. 287 - 306.

L.  Pollacci, Guidotti, R., Rossetti, G., Giannotti, F., and Pedreschi, D., ?The italian music superdiversity?, Multimedia Tools and Applications, pp. 1?23, 2018.

R.  Guidotti, Monreale, A., and Rinzivillo, S., ?Learning Data Mining?, in 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA)2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA), 2018.

R.  Guidotti, Monreale, A., Ruggieri, S., Pedreschi, D., Turini, F., and Giannotti, F., ?Local Rule-Based Explanations of Black Box Decision Systems?, 2018.

G.  Rossetti, Milli, L., Rinzivillo, S., Sirbu, A., Pedreschi, D., and Giannotti, F., ?NDlib: a python library to model and analyze diffusion processes over complex networks?, International Journal of Data Science and Analytics, vol. 5, pp. 61?79, 2018.

D.  Pedreschi, Giannotti, F., Guidotti, R., Monreale, A., Pappalardo, L., Ruggieri, S., and Turini, F., ?Open the Black Box Data-Driven Explanation of Black Box Decision Systems?, 2018.

R.  Guidotti, Rossetti, G., Pappalardo, L., Giannotti, F., and Pedreschi, D., ?Personalized Market Basket Prediction with Temporal Annotated Recurring Sequences?, IEEE Transactions on Knowledge and Data Engineering, 2018.

F.  Pratesi, Monreale, A., Trasarti, R., Giannotti, F., Pedreschi, D., and Yanagihara, T., ?PRUDEnce: a system for assessing privacy risk vs utility in data sharing ecosystems?, Transactions on Data Privacy, vol. 11, 2018.

F.  Giannotti, Trasarti, R., Bontcheva, K., and Grossi, V., ?SoBigData: Social Mining & Big Data Ecosystem?, in Companion of the The Web Conference 2018 on The Web Conference 2018, 2018.

R.  Guidotti, Monreale, A., Ruggieri, S., Turini, F., Giannotti, F., and Pedreschi, D., ?A survey of methods for explaining black box models?, ACM computing surveys (CSUR), vol. 51, p. 93, 2018.

M.  Ferretti, Barlacchi, G., Pappalardo, L., Lucchini, L., and Lepri, B., ?Weak nodes detection in urban transport systems: Planning for resilience in Singapore?, in 2018 IEEE 5th international conference on data science and advanced analytics (DSAA), 2018.

M.  Atzmueller, Becker, M., Molino, A., Mueller, J., Peters, J., and Sirbu, A., ?Applications for Environmental Sensing in EveryAware?, in Participatory Sensing, Opinions and Collective Awareness, Springer, 2017, pp. 135?155.

R.  Pellungrini, Pratesi, F., and Pappalardo, L., ?Assessing Privacy Risk in Retail Data?, in Personal Analytics and Privacy. An Individual and Collective Perspective - First International Workshop, PAP 2017, Held in Conjunction with ECML PKDD 2017, Skopje, Macedonia, September 18, 2017, Revised Selected Papers, 2017.

C.  Panigutti, Tizzoni, M., Bajardi, P., Smoreda, Z., and Colizza, V., ?Assessing the use of mobile phone data to describe recurrent mobility patterns in spatial epidemic models?, Royal Society open science, vol. 4, p. 160950, 2017.

B.  Dong, Wang, H. Wendy, Monreale, A., Pedreschi, D., Giannotti, F., and Guo, W., ?Authenticated Outlier Mining for Outsourced Databases?, IEEE Transactions on Dependable and Secure Computing, 2017.

R.  Guidotti, Monreale, A., Nanni, M., Giannotti, F., and Pedreschi, D., ?Clustering Individual Transactional Data for Masses of Users?, in Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2017.

R.  Pellungrini, Pappalardo, L., Pratesi, F., and Monreale, A., ?A Data Mining Approach to Assess Privacy Risk in Human Mobility Data?, ACM Trans. Intell. Syst. Technol., vol. 9, pp. 31:1?31:27, 2017.

F.  Beltram, Giannotti, F., and Pedreschi, D., ?Data Science a Game-changer for Science and Innovation?. G7 Academy, 2017.

L.  Pappalardo and Simini, F., ?Data-driven generation of spatio-temporal routines in human mobility?, Data Mining and Knowledge Discovery, 2017.

B.  Furletti, Trasarti, R., Cintia, P., and Gabrielli, L., ?Discovering and Understanding City Events with Big Data: The Case of Rome?, Information, vol. 8, p. 74, 2017.

B.  Guidi, Michienzi, A., and Rossetti, G., ?Dynamic community analysis in decentralized online social networks?, in European Conference on Parallel Processing, 2017.

A.  Baroni, Conte, A., Patrignani, M., and Ruggieri, S., ?Efficiently Clustering Very Large Attributed Graphs?, arXiv preprint arXiv:1703.08590, 2017.

P.  Mukala, Cerone, A., and Turini, F., ?An empirical verification of a-priori learning models on mailing archives in the context of online learning activities of participants in free\libre open source software (FLOSS) communities?, Education and Information Technologies, vol. 22, pp. 3207?3229, 2017.

S.  Ruggieri, ?Enumerating Distinct Decision Trees?, in International Conference on Machine Learning, 2017.

R.  Guidotti and Coscia, M., ?On the Equivalence Between Community Discovery and Clustering?, in International Conference on Smart Objects and Technologies for Social Good, 2017.

P.  Gravino, Sirbu, A., Becker, M., Servedio, V. D. P., and Loreto, V., ?Experimental Assessment of the Emergence of Awareness and Its Influence on Behavioral Changes: The Everyaware Lesson?, in Participatory Sensing, Opinions and Collective Awareness, Springer, 2017, pp. 337?362.

R.  Pellungrini, Pappalardo, L., Pratesi, F., and Monreale, A., ?Fast Estimation of Privacy Risk in Human Mobility Data?. 2017.

G.  Rossetti, Milli, L., Giannotti, F., and Pedreschi, D., ?Forecasting success via early adoptions analysis: A data-driven study?, PloS one, vol. 12, p. e0189096, 2017.

L.  Pollacci, Guidotti, R., Rossetti, G., Giannotti, F., and Pedreschi, D., ?The Fractal Dimension of Music: Geography, Popularity and Sentiment Analysis?, in International Conference on Smart Objects and Technologies for Social Good, 2017.

L.  Candela, Manghi, P., Giannotti, F., Grossi, V., and Trasarti, R., ?HyWare: a HYbrid Workflow lAnguage for Research E-infrastructures?, D-Lib Magazine, vol. 23, 2017.

M.  Nanni, Kotthoff, L., Guidotti, R., O'Sullivan, B., and Pedreschi, D., ?ICON Loop Carpooling Show Case?, Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach, vol. 10101, p. 310, 2017.

M.  Nanni, Nijssen, S., O'Sullivan, B., Paparrizou, A., Pedreschi, D., and Simonis, H., ?The Inductive Constraint Programming Loop?, Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach, vol. 10101, p. 303, 2017.

C.  Bessiere, De Raedt, L., Guns, T., Kotthoff, L., Nanni, M., Nijssen, S., O'Sullivan, B., Paparrizou, A., Pedreschi, D., and Simonis, H., ?The Inductive Constraint Programming Loop?, IEEE Intelligent Systems, 2017.

L.  Milli, Rossetti, G., Pedreschi, D., and Giannotti, F., ?Information diffusion in complex networks: The active/passive conundrum?, in International Workshop on Complex Networks and their Applications, 2017.

V. D. P.  Servedio, Caminiti, S., Gravino, P., Loreto, V., Sirbu, A., and Tria, F., ?Large Scale Engagement Through Web-Gaming and Social Computations?, in Participatory Sensing, Opinions and Collective Awareness, Springer, 2017, pp. 237?254.

R.  Guidotti, Rossetti, G., Pappalardo, L., Giannotti, F., and Pedreschi, D., ?Market Basket Prediction using User-Centric Temporal Annotated Recurring Sequences?, in 2017 IEEE International Conference on Data Mining (ICDM), 2017.

M.  Nanni, Trasarti, R., and Giannotti, F., ?Movement Behaviour Recognition for Water Activities?, in Personal Analytics and Privacy. An Individual and Collective Perspective - First International Workshop, {PAP} 2017, Held in Conjunction with {ECML} {PKDD} 2017, Skopje, Macedonia, September 18, 2017, Revised Selected Papers, 2017.

R.  Trasarti, Guidotti, R., Monreale, A., and Giannotti, F., ?MyWay: Location prediction via mobility profiling?, Information Systems, vol. 64, pp. 350?367, 2017.

G.  Rossetti, Milli, L., Rinzivillo, S., Sirbu, A., Pedreschi, D., and Giannotti, F., ?NDlib: a python library to model and analyze diffusion processes over complex networks?, International Journal of Data Science and Analytics, pp. 1?19, 2017.

G.  Rossetti, Milli, L., Rinzivillo, S., Sirbu, A., Pedreschi, D., and Giannotti, F., ?NDlib: Studying Network Diffusion Dynamics?, in IEEE International Conference on Data Science and Advanced Analytics, DSA, Tokyo, 2017.

R.  Guidotti, Nanni, M., Rinzivillo, S., Pedreschi, D., and Giannotti, F., ?Never drive alone: Boosting carpooling with network analysis?, Information Systems, vol. 64, pp. 237?257, 2017.

R.  Guidotti, Rossetti, G., Pappalardo, L., Giannotti, F., and Pedreschi, D., ?Next Basket Prediction using Recurring Sequential Patterns?, arXiv preprint arXiv:1702.07158, 2017.

G.  Rossetti, Pedreschi, D., and Giannotti, F., ?Node-centric Community Discovery: From static to dynamic social network analysis?, Online Social Networks and Media, vol. 3, pp. 32?48, 2017.

A.  Sirbu, Loreto, V., Servedio, V. D. P., and Tria, F., ?Opinion dynamics: models, extensions and external effects?, in Participatory Sensing, Opinions and Collective Awareness, Springer, 2017, pp. 363?401.

F.  Pratesi, Monreale, A., Giannotti, F., and Pedreschi, D., ?Privacy Preserving Multidimensional Profiling?, in International Conference on Smart Objects and Technologies for Social Good, 2017.

L.  Pappalardo and Cintia, P., ?Quantifying the relation between performance and success in soccer?, Advances in Complex Systems, p. 1750014, 2017.

R.  Guidotti and Gabrielli, L., ?Recognizing Residents and Tourists with Retail Data Using Shopping Profiles?, in International Conference on Smart Objects and Technologies for Social Good, 2017.

A.  Lulli, Gabrielli, L., Dazzi, P., Dell'Amico, M., Michiardi, P., Nanni, M., and Ricci, L., ?Scalable and flexible clustering solutions for mobile phone-based population indicators?, I. J. Data Science and Analytics, vol. 4, pp. 285?299, 2017.

A.  Baroni and Ruggieri, S., ?Segregation discovery in a social network of companies?, Journal of Intelligent Information Systems, 2017.

L.  Pollacci, Sirbu, A., Giannotti, F., Pedreschi, D., Lucchese, C., and Muntean, C. Ioana, ?Sentiment Spreading: An Epidemic Model for Lexicon-Based Sentiment Analysis on Twitter?, in Conference of the Italian Association for Artificial Intelligence, 2017.

V.  Grossi, Romei, A., and Turini, F., ?Survey on using constraints in data mining?, Data Mining and Knowledge Discovery, vol. 31, pp. 424?464, 2017.

R.  Guidotti, Trasarti, R., Nanni, M., Giannotti, F., and Pedreschi, D., ?There's A Path For Everyone: A Data-Driven Personal Model Reproducing Mobility Agendas?, in 4th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2017), Tokyo, 2017.

G.  Rossetti, Pappalardo, L., Pedreschi, D., and Giannotti, F., ?Tiles: an online algorithm for community discovery in dynamic social networks?, Machine Learning, vol. 106, pp. 1213?1241, 2017.

A.  Wierzbicki, Brandes, U., Schweitzer, F., and Pedreschi, D., ?Advances in Network Science: 12th International Conference and School, NetSci-X 2016, Wroclaw, Poland, January 11-13, 2016, Proceedings?. 2016.

L.  Pappalardo, Vanhoof, M., Gabrielli, L., Smoreda, Z., Pedreschi, D., and Giannotti, F., ?An analytical framework to nowcast well-being using mobile phone data?, International Journal of Data Science and Analytics, vol. 2, pp. 75?92, 2016.

L.  Pollacci, Guidotti, R., and Rossetti, G., ??Are we playing like Music-Stars?? Placing Emerging Artists on the Italian Music Scene?, 9th International Workshop on Machine Learning and Music, ECML-PKDD. Riva del Garda, 2016.

R.  Guidotti, Rossetti, G., and Pedreschi, D., ?Audio Ergo Sum?, in Federation of International Conferences on Software Technologies: Applications and Foundations, 2016.

B.  Furletti, Fadda, D., Piccini, L., Nanni, M., and Lattarulo, P., ?Big Data and Public Administration: a case study for Tuscany Airports?, in SEBD - Italian Symposium on  Advanced Database Systems , Ugento, Lecce (Italy), 2016.

S.  Bergamaschi, Carlini, E., Ceci, M., Furletti, B., Giannotti, F., Malerba, D., Mezzanzanica, M., Monreale, A., Pasi, G., Pedreschi, D., Perego, R., and Ruggieri, S., ?Big Data Research in Italy: A Perspective?, Engineering, vol. 2, p. 163, 2016.

B.  Qureshi, Kamiran, F., Karim, A., and Ruggieri, S., ?Causal Discrimination Discovery Through Propensity Score Analysis?, arXiv preprint arXiv:1608.03735, 2016.

B. Thanh Luong, Ruggieri, S., and Turini, F., ?Classification Rule Mining Supported by Ontology for Discrimination Discovery?, in Data Mining Workshops (ICDMW), 2016 IEEE 16th International Conference on, 2016.

C.  Bessiere, De Raedt, L., Kotthoff, L., Nijssen, S., O'Sullivan, B., and Pedreschi, D., ?Data Mining and Constraint Programming - Foundations of a Cross-Disciplinary Approach.?. 2016.

V.  Grossi, Pedreschi, D., and Turini, F., ?Data Mining and Constraints: An Overview?, in Data Mining and Constraint Programming, Springer International Publishing, 2016, pp. 25?48.

M.  Nanni, Trasarti, R., Monreale, A., Grossi, V., and Pedreschi, D., ?Driving Profiles Computation and Monitoring for Car Insurance CRM?, Journal ACM Transactions on Intelligent Systems and Technology (TIST), vol. 8, pp. 14:1?14:26, 2016.

R.  Guidotti, Coscia, M., Pedreschi, D., and Pennacchioli, D., ?Going Beyond GDP to Nowcast Well-Being Using Retail Market Data?, in Advances in Network Science, Springer International Publishing, 2016, pp. 29?42.

G.  Rossetti, Pappalardo, L., Kikas, R., Pedreschi, D., Giannotti, F., and Dumas, M., ?Homophilic network decomposition: a community-centric analysis of online social services?, Social Network Analysis and Mining, vol. 6, p. 103, 2016.

S.  Ruggieri and Turini, F., ?A KDD process for discrimination discovery?, in Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2016.

G.  Rossetti, Pappalardo, L., and Rinzivillo, S., ?A novel approach to evaluate community detection algorithms on ground truth?, in 7th Workshop on Complex Networks, Dijon, France, 2016.

V.  Grossi, Guns, T., Monreale, A., Nanni, M., and Nijssen, S., ?Partition-Based Clustering Using Constraint Optimization?, in Data Mining and Constraint Programming - Foundations of a Cross-Disciplinary Approach, Springer International Publishing, 2016, pp. 282?299.

A.  Sirbu and Babaoglu, O., ?Power Consumption Modeling and Prediction in a Hybrid CPU-GPU-MIC Supercomputer?, 22nd International European Conference on Parallel and Distributed Computing, Euro-Par 2016, vol. LNCS 9833. Springer LNCS, Grenoble, France, 2016.

A.  Sirbu and Babaoglu, O., ?Predicting System-level Power for a Hybrid Supercomputer?, in 2016 International Conference on High Performance Computing Simulation (HPCS), Innsbruck, Austria, 2016.

A.  Monreale and Wang, H. Wendy, ?Privacy-Preserving Outsourcing of Data Mining?, in 40th IEEE Annual Computer Software and Applications Conference, {COMPSAC} Workshops 2016, Atlanta, GA, USA, June 10-14, 2016,  Atlanta, GA, USA, 2016.

A.  Marrella, Monreale, A., Kloepper, B., and Krueger, M. W., ?Privacy-Preserving Outsourcing of Pattern Mining of Event-Log Data-A Use-Case from Process Industry?, in Cloud Computing Technology and Science (CloudCom), 2016 IEEE International Conference on, 2016.

P.  Ayris, Berthou, J. - Y., Bruce, R., Lindstaedt, S., Monreale, A., Mons, B., Murayama, Y., Södergård, C., Tochtermann, K., and Wilkinson, R., Realising the European open science cloud. 2016.

M.  Setzu and Atzori, M., ?SPARQL Queries over Source Code?, in 2016 IEEE Tenth International Conference on Semantic Computing (ICSC), 2016.

M.  Fiore, Shafiq, Z., Smoreda, Z., Stanica, R., and Trasarti, R., ?Special Issue on Mobile Traffic Analytics?, Computer Communications, vol. 95, pp. 1?2, 2016.

G.  Rossetti, Guidotti, R., Miliou, I., Pedreschi, D., and Giannotti, F., ?A supervised approach for intra-/inter-community interaction prediction in dynamic social networks?, Social Network Analysis and Mining, vol. 6, p. 86, 2016.

A.  Sirbu and Babaoglu, O., ?Towards operator-less data centers through data-driven, predictive, proactive autonomics?, Cluster Computing, pp. 1?14, 2016.

F.  Giannotti, Gabrielli, L., Pedreschi, D., and Rinzivillo, S., ?Understanding human mobility with big data?, in Solving Large Scale Learning Tasks. Challenges and Algorithms, Springer International Publishing, 2016, pp. 208?220.

R.  Guidotti, Monreale, A., Rinzivillo, S., Pedreschi, D., and Giannotti, F., ?Unveiling mobility complexity through complex network analysis?, Social Network Analysis and Mining, vol. 6, p. 59, 2016.

P.  Gravino, Caminiti, S., Sirbu, A., Tria, F., Servedio, V. D. P., and Loreto, V., ?Unveiling Political Opinion Structures with a Web-experiment?, in Proceedings of the 1st International Conference on Complex Information Systems, 2016.

R.  Guidotti and Berlingerio, M., ?Where Is My Next Friend? Recommending Enjoyable Profiles in Location Based Services?, in Complex Networks VII, Springer International Publishing, 2016, pp. 65?78.

R.  Guidotti, Coscia, M., Pedreschi, D., and Pennacchioli, D., ?Behavioral Entropy and Profitability in Retail?, in IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA'2015), Paris, 2015.

A.  Balliu, Olivetti, D., Babaoglu, O., Marzolla, M., and Sirbu, A., ?A Big Data Analyzer for Large Trace Logs?, Computing, 2015.

L.  Gabrielli, Furletti, B., Trasarti, R., Giannotti, F., and Pedreschi, D., ?City users? classification with mobile phone data?, in IEEE Big Data, Santa Clara (CA) - USA, 2015.

V.  Grossi, Monreale, A., Nanni, M., Pedreschi, D., and Turini, F., ?Clustering Formulation Using Constraint Optimization?, in Software Engineering and Formal Methods - {SEFM} 2015 Collocated Workshops: ATSE, HOFM, MoKMaSD, and VERY*SCART, York, UK, September 7-8, 2015, Revised Selected Papers, 2015.

V. M.  de Lira, Times, V. C., Renso, C., and Rinzivillo, S., ?ComeWithMe: An Activity-Oriented Carpooling Approach?, in 2015 {IEEE} 18th International Conference on Intelligent Transportation Systems, 2015.

G.  Rossetti, Pappalardo, L., Kikas, R., Pedreschi, D., Giannotti, F., and Dumas, M., ?Community-centric analysis of user engagement in Skype social network?, in International conference on Advances in Social Network Analysis and Mining, Paris, France, 2015.

A.  Sirbu, Crane, M., and Ruskin, H. J., ?Data Integration for Microarrays: Enhanced Inference for Gene Regulatory Networks?, Microarrays, vol. 4, pp. 255?269, 2015.

B.  Furletti, Gabrielli, L., Trasarti, R., Smoreda, Z., Vanhoof, M., and Ziemlicki, C., ?Detecting and understanding big events in big cities?, in NetMob, Boston, 2015.

S.  Hajian, Domingo-Ferrer, J., Monreale, A., Pedreschi, D., and Giannotti, F., ?Discrimination- and privacy-aware patterns?, Data Min. Knowl. Discov., vol. 29, pp. 1733?1782, 2015.

P.  Contucci, Panizzi, E., Ricci-Tersenghi, F., and Sirbu, A., ?Egalitarianism in the rank aggregation problem: a new dimension for democracy?, Quality & Quantity, pp. 1?16, 2015.

P.  Mukala, Cerone, A., and Turini, F., ?An exploration of learning processes as process maps in FLOSS repositories?. 2015.

L.  Kotthoff, Nanni, M., Guidotti, R., and O'Sullivan, B., ?Find Your Way Back: Mobility Profile Mining with Constraints?, in Principles and Practice of Constraint Programming, Cork, 2015.

P.  Cintia, Pappalardo, L., Pedreschi, D., Giannotti, F., and Malvaldi, M., ?The harsh rule of the goals: data-driven performance indicators for football teams?, IEEE International Conference on Data Science and Advanced Analytics. 2015.

A.  Sirbu and Babaoglu, O., ?A Holistic Approach to Log Data Analysis in High-Performance Computing Systems: The Case of IBM Blue Gene/Q?, in Euro-Par 2015: parallel Processing Workshops, LNCS 9523, 2015.

G.  Rossetti, Guidotti, R., Pennacchioli, D., Pedreschi, D., and Giannotti, F., ?Interaction Prediction in Dynamic Networks exploiting Community Discovery?, in International conference on Advances in Social Network Analysis and Mining, ASONAM 2015, Paris, France, 2015.

S.  Ruggieri, ?Introduction to the special issue on Artificial Intelligence for Society and Economy?, Intelligenza Artificiale, vol. 9, pp. 23?23, 2015.

L.  Passaro, Pollacci, L., and Lenci, A., ?ItEM: A Vector Space Model to Bootstrap an Italian Emotive Lexicon?, Second Italian Conference on Computational Linguistics CLiC-it 2015, vol. II, 2 vol. 2015.

A.  Romei, Ruggieri, S., and Turini, F., ?The layered structure of company share networks?, in Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE International Conference on, 2015.

A.  Botea, Braghin, S., Lopes, N., Guidotti, R., and Pratesi, F., ?Managing travels with PETRA: The Rome use case?, in 2015 31st IEEE International Conference on Data Engineering Workshops (ICDEW), 2015.

P.  Mukala, Cerone, A., and Turini, F., ?Mining learning processes from FLOSS mailing archives?, in Conference on e-Business, e-Services and e-Society, 2015.

M.  Berlingerio, Bicer, V., Botea, A., Braghin, S., Lopes, N., Guidotti, R., and Pratesi, F., ?Mobility Mining for Journey Planning in Rome?, in Machine Learning and Knowledge Discovery in Databases, 2015.

A.  Sirbu, Becker, M., Caminiti, S., De Baets, B., Elen, B., Francis, L., Gravino, P., Hotho, A., Ingarra, S., Loreto, V., Molino, A., Mueller, J., Peters, J., Ricchiuti, F., Saracino, F., Servedio, V. D. P., Stumme, G., Theunis, J., Tria, F., and Van den Bossche, J., ?Participatory Patterns in an International Air Quality Monitoring Initiative.?, PLoS One, vol. 10, p. e0136763, 2015.

M.  Coscia, Pennacchioli, D., and Giannotti, F., ?Product assortment and customer mobility?, EPJ Data Science, vol. 4, pp. 1?18, 2015.

L.  Milli, Monreale, A., Rossetti, G., Pedreschi, D., Giannotti, F., and Sebastiani, F., ?Quantification in Social Networks?, in International Conference on Data Science and Advanced Analytics (IEEE DSAA'2015), Paris, France, 2015.

L.  Pappalardo, Simini, F., Rinzivillo, S., Pedreschi, D., Giannotti, F., and Barabasi, A. - L., ?Returners and explorers dichotomy in human mobility?, Nat Commun, vol. 6, 2015.

A.  Basu, Monreale, A., Trasarti, R., Corena, J. C., Giannotti, F., Pedreschi, D., Kiyomoto, S., Miyake, Y., and Yanagihara, T., ?A risk model for privacy in trajectory data?, Journal of Trust Management, vol. 2, p. 9, 2015.

A.  Baroni and Ruggieri, S., ?Segregation Discovery in a Social Network of Companies?, in International Symposium on Intelligent Data Analysis, 2015.

S.  Marchetti, Giusti, C., Pratesi, M., Salvati, N., Giannotti, F., Pedreschi, D., Rinzivillo, S., Pappalardo, L., and Gabrielli, L., ?Small Area Model-Based Estimators Using Big Data Sources?, Journal of Official Statistics, vol. 31, pp. 263?281, 2015.

R.  Guidotti, Sassi, A., Berlingerio, M., Pascale, A., and Ghaddar, B., ?Social or green? A data-driven approach for more enjoyable carpooling?, in Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference on, 2015.

R.  Guidotti, Trasarti, R., and Nanni, M., ?{TOSCA:} two-steps clustering algorithm for personal locations detection?, in Proceedings of the 23rd {SIGSPATIAL} International Conference on Advances in Geographic Information Systems, Bellevue, WA, USA, November 3-6, 2015, 2015.

R.  Guidotti and Cintia, P., ?Towards a Boosted Route Planner Using Individual Mobility Models?, in Software Engineering and Formal Methods, Springer Berlin Heidelberg, 2015, pp. 108?123.

A.  Sirbu and Babaoglu, O., ?Towards Data-Driven Autonomics in Data Centers?, in IEEE International Conference on Cloud and Autonomic Computing, 2015.

R.  Guidotti, Trasarti, R., Nanni, M., and Giannotti, F., ?Towards user-centric data management: individual mobility analytics for collective services?, in Proceedings of the 4th {ACM} {SIGSPATIAL} International Workshop on Mobile Geographic Information Systems, MobiGIS 2015, Bellevue, WA, USA, November 3-6, 2015, 2015.

L.  Gabrielli, Furletti, B., Giannotti, F., Nanni, M., and Rinzivillo, S., ?Use of Mobile Phone Data to Estimate Visitors Mobility Flows?, in Software Engineering and Formal Methods, vol. 8938, Springer International Publishing, 2015, pp. 214-226.

P.  Mukala, Cerone, A., and Turini, F., ?An abstract state machine (ASM) representation of learning process in FLOSS communities?, in International Conference on Software Engineering and Formal Methods, 2014.

A.  Monreale, Pedreschi, D., Pensa, R. G., and Pinelli, F., ?Anonymity preserving sequential pattern mining?, Artif. Intell. Law, vol. 22, pp. 141?173, 2014.

S.  Ruggieri, Hajian, S., Kamiran, F., and Zhang, X., ?Anti-discrimination analysis using privacy attack strategies?, in Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2014.

A.  Balliu, Olivetti, D., Babaoglu, O., Marzolla, M., and Sirbu, A., ?BiDAl: Big Data Analyzer for Cluster Traces?, in Informatika (BigSys workshop), 2014.

B.  Furletti, Trasarti, R., Gabrielli, L., Nanni, M., and Pedreschi, D., ?Big data analytics for smart mobility: a case study?, in EDBT/ICDT 2014 Workshops - Mining Urban Data (MUD), Athens, Greece, 2014.

A.  Basu, Corena, J. C., Monreale, A., Pedreschi, D., Giannotti, F., Kiyomoto, S., Vaidya, J., and Miyake, Y., ?CF-inspired Privacy-Preserving Prediction of Next Location in the Cloud?, in Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on, 2014.

L.  Passaro, Lebani, G. E., Pollacci, L., Chersoni, E., and Lenci, A., ?The CoLing Lab system for Sentiment Polarity Classification of tweets?, First Italian Conference on Computational Linguistics CLiC-it 2014 & Fourth International Workshop EVALITA 2014, vol. II, 2 vol. 2014.

S.  Ruggieri, Eirinakis, P., Subramani, K., and Wojciechowski, P., ?On the complexity of quantified linear systems?, Theoretical Computer Science, vol. 518, pp. 128?134, 2014.

M.  Aldinucci, Ruggieri, S., and Torquati, M., ?Decision tree building on multi-core using FastFlow?, Concurrency and Computation: Practice and Experience, vol. 26, pp. 800?820, 2014.

R.  Trasarti, Olteanu-Raimond, A. - M., Nanni, M., Couronné, T., Furletti, B., Giannotti, F., Smoreda, Z., and Ziemlicki, C., ?Discovering urban and country dynamics from mobile phone data with spatial correlation patterns?, Telecommunications Policy, p. -, 2014.

A.  Sirbu, Crane, M., and Ruskin, H. J., ?EGIA?Evolutionary Optimisation of Gene Regulatory Networks, an Integrative Approach?, in Complex Networks V, Springer International Publishing, 2014, pp. 217?229.

S.  Hajian, Monreale, A., Pedreschi, D., Domingo-Ferrer, J., and Giannotti, F., ?Fair pattern discovery?, in Symposium on Applied Computing, {SAC} 2014, Gyeongju, Republic of Korea - March 24 - 28, 2014, 2014, pp. 113?120.

S.  Mascetti, Ricci, A., and Ruggieri, S., ?Introduction to special issue on computational methods for enforcing privacy and fairness in the knowledge society?, Artificial Intelligence and Law, vol. 22, pp. 109?111, 2014.

V. M.  de Lira, Rinzivillo, S., Renso, C., Times, V. C., and Tedesco, P. {\'?}ciaC. A. R., ?Investigating semantic regularity of human mobility lifestyle?, in 18th International Database Engineering {&} Applications Symposium, {IDEAS} 2014, Porto, Portugal, July 7-9, 2014, Porto, Portugal, 2014, pp. 314?317.

V. M.  de Lira, Rinzivillo, S., Times, V. C., and Renso, C., ?{MAPMOLTY:} {A} Web Tool for Discovering Place Loyalty Based on Mobile Crowdsource Data?, in Web Engineering, 14th International Conference, {ICWE} 2014, Toulouse, France, July 1-4, 2014. Proceedings, 2014, pp. 528?531.

P.  Cintia, Pappalardo, L., and Pedreschi, D., ?Mining efficient training patterns of non-professional cyclists?, in 22nd Italian Symposium on Advanced Database Systems, {SEBD} 2014, Sorrento Coast, Italy, June 16-18, 2014., 2014.

M.  Nanni, Trasarti, R., Cintia, P., Furletti, B., Renso, C., Gabrielli, L., Rinzivillo, S., and Giannotti, F., ?Mobility Profiling?, in Data Science and Simulation in Transportation Research, IGI Global, 2014, pp. 1-29.

A.  Romei and Ruggieri, S., ?A multidisciplinary survey on discrimination analysis?, The Knowledge Engineering Review, vol. 29, pp. 582?638, 2014.

P.  Mukala, Cerone, A., and Turini, F., ?Ontolifloss: Ontology for learning processes in FLOSS communities?, in International Conference on Software Engineering and Formal Methods, 2014.

D.  Pennacchioli, Coscia, M., and Pedreschi, D., ?Overlap versus partition: marketing classification and customer profiling in complex networks of products?, in Data engineering workshops (ICDEW), 2014 IEEE 30th international conference on, 2014.

D.  Pennacchioli, Rossetti, G., Pappalardo, L., Pedreschi, D., Giannotti, F., and Coscia, M., ?The patterns of musical influence on the Last.Fm social network?, in 22nd Italian Symposium on Advanced Database Systems, {SEBD} 2014, Sorrento Coast, Italy, June 16-18, 2014., 2014.

A.  Basu, Monreale, A., Corena, J. C., Giannotti, F., Pedreschi, D., Kiyomoto, S., Miyake, Y., Yanagihara, T., and Trasarti, R., ?A Privacy Risk Model for Trajectory Data?, in Trust Management {VIII} - 8th {IFIP} {WG} 11.11 International Conference, {IFIPTM} 2014, Singapore, July 7-10, 2014. Proceedings, 2014, pp. 125?140.

A.  Monreale, Rinzivillo, S., Pratesi, F., Giannotti, F., and Pedreschi, D., ?Privacy-by-Design in Big Data Analytics and Social Mining?, EPJ Data Science, vol. 10, 2014.

P.  Mukala, Cerone, A., and Turini, F., ?Process mining event logs from FLOSS data: state of the art and perspectives?, in International Conference on Software Engineering and Formal Methods, 2014.

S.  Rinzivillo, Gabrielli, L., Nanni, M., Pappalardo, L., Pedreschi, D., and Giannotti, F., ?The purpose of motion: Learning activities from Individual Mobility Networks?, in International Conference on Data Science and Advanced Analytics, {DSAA} 2014, Shanghai, China, October 30 - November 1, 2014, 2014.

P.  Eirinakis, Ruggieri, S., Subramani, K., and Wojciechowski, P., ?On quantified linear implications?, Annals of Mathematics and Artificial Intelligence, vol. 71, pp. 301?325, 2014.

D.  Pennacchioli, Coscia, M., Rinzivillo, S., Giannotti, F., and Pedreschi, D., ?The retail market as a complex system?, EPJ Data Science, vol. 3, pp. 1?27, 2014.

R.  Guidotti, Monreale, A., Rinzivillo, S., Pedreschi, D., and Giannotti, F., ?Retrieving Points of Interest from Human Systematic Movements?, in Software Engineering and Formal Methods, Springer International Publishing, 2014, pp. 294?308.

M.  Coscia, Rossetti, G., Giannotti, F., and Pedreschi, D., ?Uncovering Hierarchical and Overlapping Communities with a Local-First Approach?, {TKDD}, vol. 9, p. 6, 2014.

B.  Furletti, Gabrielli, L., Giannotti, F., Milli, L., Nanni, M., and Pedreschi, D., ?Use of mobile phone data to estimate mobility flows. Measuring urban population and inter-city mobility using big data in an integrated approach?, in 47th SIS Scientific Meeting of the Italian Statistica Society, Cagliari , 2014.

L.  Gabrielli, Furletti, B., Giannotti, F., Nanni, M., and Rinzivillo, S., ?Use of mobile phone data to estimate visitors mobility flows?, in Proceedings of MoKMaSD, 2014.

S.  Ruggieri, ?Using t-closeness anonymity to control for non-discrimination.?, Trans. Data Privacy, vol. 7, pp. 99?129, 2014.

B.  Furletti, Gabrielli, L., Renso, C., and Rinzivillo, S., ?Analysis of GSM Calls Data for Understanding User Mobility Behavior?, IEEE Big Data. Santa Clara, California, 2013.

A. S.  Furtado, Fileto, R., and Renso, C., ?Assessing the Attractiveness of Places with Movement Data ?, Journal of Information and Data Management, vol. 4, 2013.

I.  Barbosa, Casanova, M. A., Renso, C., and de Macêdo, J. A. F., ?Average Speed Estimation For Road Networks Based On GPS Raw Trajectories?, in ICEIS Conference, 2013.

M.  Becker, Caminiti, S., Fiorella, D., Francis, L., Gravino, P., Haklay, M. Muki, Hotho, A., Loreto, V., Mueller, J., Ricchiuti, F., Servedio, V. D. P., Sirbu, A., and Tria, F., ?Awareness and learning in participatory noise sensing.?, PLoS One, vol. 8, p. e81638, 2013.

R.  Fileto, Krger, M., Pelekis, N., Theodoridis, Y., and Renso, C., ?Baquara: A Holistic Ontological Framework for Movement Analysis with Linked Data?, in Entity Relationship Conference - ER 2013, Hong Kong, 2013.

A.  Sirbu, Loreto, V., Servedio, V. D. P., and Tria, F., ?Cohesion, consensus and extreme information in opinion dynamics?, Advances in Complex Systems, vol. 16, p. 1350035, 2013.

L.  Pappalardo, Simini, F., Rinzivillo, S., Pedreschi, D., and Giannotti, F., ?Comparing General Mobility and Mobility by Car?, in Computational Intelligence and 11th Brazilian Congress on Computational Intelligence (BRICS-CCI CBIC), 2013 BRICS Congress on, 2013.

V.  Bogorny, Renso, C., de Aquino, A. R., de Siqueira, F. L., and Alvares, L. O., ?CONSTAnT - A Conceptual Data Model for Semantic Trajectories of Moving Objects ?, Transaction in GIS, 2013.

S.  Ruggieri, ?Data Anonymity Meets Non-discrimination?, in Data Mining Workshops (ICDMW), 2013 IEEE 13th International Conference on, 2013.

D.  Pedreschi, Ruggieri, S., and Turini, F., ?The discovery of discrimination?, in Discrimination and privacy in the information society, Springer, 2013, pp. 91?108.

A.  Romei, Ruggieri, S., and Turini, F., ?Discrimination discovery in scientific project evaluation: A case study?, Expert Systems with Applications, vol. 40, pp. 6064?6079, 2013.

K. S.  Boeg, Ira Assent,, and Magnani, M., ?Efficient GPU-based skyline computation?, in DAMON@SIGMOD 2013, 2013.

P.  Cintia, Pappalardo, L., and Pedreschi, D., ?"Engine Matters": {A} First Large Scale Data Driven Study on Cyclists' Performance?, in 13th {IEEE} International Conference on Data Mining Workshops, {ICDM} Workshops, TX, USA, December 7-10, 2013, 2013.

M.  Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., ?Evolving networks: Eras and turning points?, Intell. Data Anal., vol. 17, pp. 27?48, 2013.

D.  Pennacchioli, Coscia, M., Rinzivillo, S., Pedreschi, D., and Giannotti, F., ?Explaining the PRoduct Range Effect in Purchase Data?, IEEE Big Data. 2013.

P.  Cintia, Trasarti, R., de Macêdo, J. Antônio F., Almada, L., and Fereira, C., ?A Gravity Model for Speed Estimation over Road Network?, in 2013 {IEEE} 14th International Conference on Mobile Data Management, Milan, Italy, June 3-6, 2013 - Volume 2, 2013.

C.  Renso, Baglioni, M., de Macêdo, J. Antônio F., Trasarti, R., and Wachowicz, M., ?How you move reveals who you are: understanding human behavior by analyzing trajectory data?, Knowl. Inf. Syst., vol. 37, pp. 331?362, 2013.

P.  Cintia, Furletti, B., and Renso, C., ?Inferring human activities from GPS tracks UrbComp?, in Workshop at KDD 2013, Chicago USA, 2013.

S.  Ruggieri, ?Learning from polyhedral sets?, in Proceedings of the Twenty-Third international joint conference on Artificial Intelligence, 2013.

G.  Rossetti, Pappalardo, L., and Pedreschi, D., ?Measuring tie strength in multidimensional networks?, in SEDB 2013, 2013.

R.  Guidotti, ?Mobility Ranking - Human Mobility Analysis Using Ranking Measures?, 2013.

R.  Wagner, de Macêdo, J. A. F., Raffaetà, A., Renso, C., Roncato, A., and Trasarti, R., ?Mob-Warehouse: A semantic approach for mobility analysis with a Trajectory Data Ware- house?, in SecoGIS 2013 - International Workshop on Semantic Aspects of GIS, Joint to ER conference 2013, Hong Kong, 2013.

M.  Nanni, Trasarti, R., Furletti, B., Gabrielli, L., Van Der Mede, P., De Bruijn, J., de Romph, E., and Bruil, G., ?MP4-A Project: Mobility Planning For Africa?, in In D4D Challenge @ 3rd Conf. on the Analysis of Mobile Phone datasets (NetMob 2013), Cambridge, USA, 2013.

M.  Magnani, Monreale, A., Rossetti, G., and Giannotti, F., ?On multidimensional network measures?, in SEDB 2013, 2013.

A.  Sirbu, Loreto, V., Servedio, V. D. P., and Tria, F., ?Opinion dynamics with disagreement and modulated information?, Journal of Statistical Physics, pp. 1?20, 2013.

B.  Furletti, Gabrielli, L., Renso, C., and Rinzivillo, S., ?Pisa Tourism fluxes Observatory: deriving mobility indicators from GSM call habits?, in NetMob Conference 2013, 2013.

F.  Pratesi, Monreale, A., Wang, H. Wendy, Rinzivillo, S., Pedreschi, D., Andrienko, G., and Andrienko, N., ?Privacy-Aware Distributed Mobility Data Analytics?, in SEBD, Roccella Jonica, 2013.

A.  Monreale, Wang, H. Wendy, Pratesi, F., Rinzivillo, S., Pedreschi, D., Andrienko, G., and Andrienko, N., ?Privacy-Preserving Distributed Movement Data Aggregation?, in Geographic Information Science at the Heart of Europe, D.  Vandenbroucke, Bucher, B., and Crompvoets, J., Eds. Springer International Publishing, 2013, pp. 225-245.

F.  Giannotti, Lakshmanan, L. V. S., Monreale, A., Pedreschi, D., and Wang, H. Wendy, ?Privacy-Preserving Mining of Association Rules From Outsourced Transaction Databases?,  IEEE Systems Journal, 2013.

F. D. C.  Albuquerque, Casanova, M. A., de Carvalho, M. T. M., de Macêdo, J. A. F., and Renso, C., ?A Proactive Ap- plication to Monitor Truck Fleets?, in Mobile Data Management Conference, 2013, 2013.

L.  Milli, Monreale, A., Rossetti, G., Giannotti, F., Pedreschi, D., and Sebastiani, F., ?Quantification Trees?, in 2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013, 2013, pp. 528?536.

G.  Andrienko, Andrienko, N., Hunter, C., Rinzivillo, S., and Wrobel, S., ?Scalable Analysis of Movement Data for Extracting and Exploring Significant Places?, IEEE Transactions on Visualization and Computer Graphics, vol. 19, 2013.

C.  Parent, Spaccapietra, S., Renso, C., Andrienko, G., Andrienko, N., Bogorny, V., Damiani M L,, Gkoulalas-Divanis A,, de Macêdo, J. A. F., and Pelekis, N., ?Semantic Trajectories Modeling and Analysis?, ACM Computing Surveys, vol. 45, 2013.

M.  Coscia, Rinzivillo, S., Giannotti, F., and Pedreschi, D., ?Spatial and Temporal Evaluation of Network-based Analysis of Human Mobility?, Social Network Analysis and Mining, vol. to appear, 2013.

M.  Wachowicz and Renso, C., ?Spatio and Spatio-temporal Reasoning and Decision Support Tools?, in Entry at Encyclopedia of Social Network Analysis and Mining, Springer., 2013.

V.  Cozza, Messina, A., Montesi, D., Arietta, L., and Magnani, M., ?Spatio temporal keyword-queries in Social Networs?, 2013.

M.  Nanni, Raffaetà, A., Renso, C., and Turini, F., ?Spatio-Temporal Data?, Spatio-Temporal Databases: Flexible Querying and Reasoning, p. 75, 2013.

R.  Ong, Nanni, M., Renso, C., Wachowicz, M., and Pedreschi, D., ?A Study on Parameter Estimation for a Mining Flock Algorithm ?, in Mining Complex Patterns Workshop, ECML PKDD 2013, 2013.

M.  Wachowicz, Ong, R., and Renso, C., ?Tailoring Moving Patterns to Contexts?, in AGILE Conference, Leuven, Belgium, 2013, 2013.

D.  Pennacchioli, Rossetti, G., Pappalardo, L., Pedreschi, D., Giannotti, F., and Coscia, M., ?The Three Dimensions of Social Prominence?, in Social Informatics - 5th International Conference, SocInfo 2013, Kyoto, Japan, November 25-27, 2013, Proceedings, 2013.

S.  Ceri, Palpanas, T., Valle, E. Della, Pedreschi, D., Freytag, J. - C., and Trasarti, R., ?Towards mega-modeling: a walk through data analysis experiences?, {SIGMOD} Record, vol. 42, pp. 19?27, 2013.

M.  Nanni, Trasarti, R., Furletti, B., Gabrielli, L., Van Der Mede, P., De Bruijn, J., de Romph, E., and Bruil, G., ?Transportation Planning Based on {GSM} Traces: {A} Case Study on Ivory Coast?, in Citizen in Sensor Networks - Second International Workshop, CitiSens 2013, Barcelona, Spain, September 19, 2013, Revised Selected Papers, 2013.

L.  Pappalardo, Rinzivillo, S., Qu, Z., Pedreschi, D., and Giannotti, F., ?{Understanding the patterns of car travel}?, The European Physical Journal Special Topics, vol. 215, pp. 61?73, 2013.

S.  Rinzivillo, de Siqueira, F. L., Gabrielli, L., Renso, C., and Bogorny, V., ?Where Have You Been Today? Annotating Trajectories with DayTag?, in International Conference on Spatial and Spatio-temporal Databases (SSTD), 2013, pp. 467-471.

I.  Brilhante, Nardini, F. M., Perego, R., Renso, C., and de Macêdo, J. A. F., ?Where Shall We Go Today? Planning Touristic Tours with TripBuilder?, in International Conference CIKM 2013, San Francisco, USA, 2013.

S.  Caminiti, Cicali, C., Gravino, P., Loreto, V., Servedio, V. D. P., Sirbu, A., and Tria, F., ?XTribe: a web-based social computation platform?, in Cloud and Green Computing (CGC), 2013 Third International Conference on, 2013.

M.  Coscia, Rossetti, G., Pennacchioli, D., Ceccarelli, D., and Giannotti, F., ?You Know Because I Know?: a Multidimensional Network Approach to Human Resources Problem?, in ASONAM 2013, 2013.

T.  Bellemans, Bothe, S., Cho, S., Giannotti, F., Janssens, D., Knapen, L., Körner, C., May, M., Nanni, M., Pedreschi, D., Stange, H., Trasarti, R., Yasar, A. - U. - H., and Wets, G., ?An Agent-Based Model to Evaluate Carpooling at Large Manufacturing Plants?, in Proceedings of the 3rd International Conference on Ambient Systems, Networks and Technologies {(ANT} 2012), the 9th International Conference on Mobile Web Information Systems (MobiWIS-2012), Niagara Falls, Ontario, Canada, August 27-29, 2012, 2012.

B.  Furletti, Trasarti, R., Gabrielli, L., Rinzivillo, S., Pappalardo, L., and Giannotti, F., ?Analisi di Mobilita' con dati eterogenei?, ISTI - CNR, Pisa, 2012.

S.  Mascetti, Monreale, A., Ricci, A., and Gerino, A., ?Anonymity: a Comparison between the Legal and Computer Science Perspectives.?, in The 5rd International Conference on Computers, Privacy, and Data Protection: ?European Data Protection: Coming of Age?, 2012.

R.Liu, Wang, H. Wendy, Monreale, A., Pedreschi, D., Giannotti, F., and Guo, W., ?AUDIO: An Integrity Auditing Framework of Outlier-Mining-as-a-Service Systems.?, in Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2012 , 2012.

G.  Bachi, Coscia, M., Monreale, A., and Giannotti, F., ?Classifying Trust/Distrust Relationships in Online Social Networks?, in 2012 International Conference on Privacy, Security, Risk and Trust, {PASSAT} 2012, and 2012 International Confernece on Social Computing, SocialCom 2012, Amsterdam, Netherlands, September 3-5, 2012, 2012, pp. 552?557.

I.  Brilhante, Berlingerio, M., Trasarti, R., Renso, C., de Macêdo, J. A. F., and Casanova, M. A., ?ComeTogether: Discovering Communities of Places in Mobility Data?, MDM 2012. pp.  268-273, 2012.

D.  Janssens, Giannotti, F., Nanni, M., Pedreschi, D., and Rinzivillo, S., ?Data Science for Simulating the Era of Electric Vehicles?, KI - Künstliche Intelligenz, 2012.

M.  Coscia, Rossetti, G., Giannotti, F., and Pedreschi, D., ?DEMON: a Local-First Discovery Method for Overlapping Communities?, in KDD 2012, 2012.

M.  Coscia, Rossetti, G., Giannotti, F., and Pedreschi, D., ?DEMON: a local-first discovery method for overlapping communities?, in The 18th {ACM} {SIGKDD} International Conference on Knowledge Discovery and Data Mining, {KDD} '12, Beijing, China, August 12-16, 2012, 2012.

S.  Rinzivillo, Mainardi, S., Pezzoni, F., Coscia, M., Giannotti, F., and Pedreschi, D., ?Discovering the Geographical Borders of Human Mobility?, KI - Künstliche Intelligenz, 2012.

L.  Pappalardo, Rossetti, G., and Pedreschi, D., ?"How Well Do We Know Each Other?" Detecting Tie Strength in Multidimensional Social Networks?, in International Conference on Advances in Social Networks Analysis and Mining, {ASONAM} 2012, Istanbul, Turkey, 26-29 August 2012, 2012.

B.  Furletti, Gabrielli, L., Renso, C., and Rinzivillo, S., ?Identifying users profiles from mobile calls habits?, in ACM SIGKDD International Workshop on Urban Computing, Beijing, China, 2012.

R.  Trasarti, Pinelli, F., Nanni, M., and Giannotti, F., ?Individual Mobility Profiles: Methods and Application on Vehicle Sharing?, in Twentieth Italian Symposium on Advanced Database Systems, {SEBD} 2012, Venice, Italy, June 24-27, 2012, Proceedings, 2012.

S.  Hajian, Monreale, A., Pedreschi, D., Domingo-Ferrer, J., and Giannotti, F., ?Injecting Discrimination and Privacy Awareness Into Pattern Discovery?, in 12th {IEEE} International Conference on Data Mining Workshops, {ICDM} Workshops, Brussels, Belgium, December 10, 2012, 2012, pp. 360?369.

A.  Sirbu, Ruskin, H. J., and Crane, M., ?Integrating heterogeneous gene expression data for gene regulatory network modelling.?, Theory Biosci, vol. 131, pp. 95-102, 2012.

B.  Furletti and Turini, F., ?Knowledge Discovery in Ontologies?, Intelligent Data Analysis, vol. 16, 2012.

A. S.  Furtado, Fileto, R., and Renso, C., ?M-Attract: Assessing Places Attractiveness by using Moving Objects Trajectories Data?, in GEOINFO 2012 Brazilian Conference on Geographical Information Systems, 2012.

S.  Ceri, Valle, E. Della, Pedreschi, D., and Trasarti, R., ?Mega-modeling for Big Data Analytics?, in Conceptual Modeling - 31st International Conference {ER} 2012, Florence, Italy, October 15-18, 2012. Proceedings, 2012.

M.  Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., ?Multidimensional networks: foundations of structural analysis?, World Wide Web, vol.  Volume 15 / 2012, 2012.

M.  Coscia, Rinzivillo, S., Pedreschi, D., and Giannotti, F., ?Optimal Spatial Resolution for the Analysis of Human Mobility?, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Instanbul, Turkey, 2012.

A.  Sirbu, Kerr, G., Crane, M., and Ruskin, H. J., ?RNA-Seq vs dual- and single-channel microarray data: sensitivity analysis for differential expression and clustering.?, PLoS One, vol. 7, p. e50986, 2012.

M.  Batty, Axhausen, K. W., Giannotti, F., Pozdnoukhov, A., Bazzani, A., Wachowicz, M., Ouzounis, G., and Portugali, Y., ?Smart cities of the future?, European Physical Journal-Special Topics, vol. 214, p. 481, 2012.

F.  Turini and Furletti, B., ?What else can be extracted from ontologies? Influence Rules?, in Software and Data Technologies, Springer, 2012.

M. Francesca Romano and Natilli, M., ?Wine and Food Tourism First European Conference?, Edizioni ETS Pisa, 2012.

D.  Marbach, Costello, J. C., Küffner, R., Vega, N. M., Prill, R. J., Camacho, D. M., Allison, K. R., Kellis, M., Collins, J. J., and Stolovitzky, G., ?Wisdom of crowds for robust gene network inference.?, Nat Methods, vol. 9, pp. 796-804, 2012.

D.  Marbach, Costello, J. C., Küffner, R., Vega, N. M., Prill, R. J., Camacho, D. M., Allison, K. R., Kellis, M., Collins, J. J., Aderhold, A., Stolovitzky, G., Bonneau, R., Chen, Y., Cordero, F., Crane, M., Dondelinger, F., Drton, M., Esposito, R., Foygel, R., De La Fuente, A., Gertheiss, J., Geurts, P., Greenfield, A., Grzegorczyk, M., Haury, A. - C., Holmes, B., Hothorn, T., Husmeier, D., Huynh-Thu, V. A., Irrthum, A., Karlebach, G., Lebre, S., De Leo, V., Madar, A., Mani, S., Mordelet, F., Ostrer, H., Ouyang, Z., Pandya, R., Petri, T., Pinna, A., Poultney, C. S., Rezny, S., Ruskin, H. J., Saeys, Y., Shamir, R., Sirbu, A., Song, M., Soranzo, N., Statnikov, A., Vega, N. M., Vera-Licona, P., Vert, J. - P., Visconti, A., Wang, H., Wehenkel, L., Windhager, L., Zhang, Y., and Zimmer, R., ?Wisdom of crowds for robust gene network inference?, Nature Methods, vol. 9, pp. 796-804, 2012.

M.  Coscia, Giannotti, F., and Pedreschi, D., ?A classification for community discovery methods in complex networks?, Statistical Analysis and Data Mining, vol. 4, pp. 512-546, 2011.

A.  Monreale, Trasarti, R., Pedreschi, D., Renso, C., and Bogorny, V., ?C-safety: a framework for the anonymization of semantic trajectories?, Transactions on Data Privacy, vol. 4, pp. 73-101, 2011.

G.  Tomei and Natilli, M., Dinamiche di impoverimento. Meccanismi, traiettorie ed effetti in un contesto locale. Carocci Editore, 2011.

M.  Berlingerio, Coscia, M., and Giannotti, F., ?Finding and Characterizing Communities in Multidimensional Networks?, in ASONAM, 2011, pp. 490-494.

M.  Berlingerio, Coscia, M., and Giannotti, F., ?Finding redundant and complementary communities in multidimensional networks?, in CIKM, 2011, pp. 2181-2184.

M.  Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., ?Foundations of Multidimensional Network Analysis?, in ASONAM, 2011, pp. 485-489.

G.  Andrienko, Andrienko, N., Hurter, C., Rinzivillo, S., and Wrobel, S., ?From Movement Tracks through Events to Places: Extracting and Characterizing Significant Places from Mobility Data?, IEEE Conference on Visual Analytics Science and Technology. 2011.

M.  Natilli and Romano, M. Francesca, ?The impact of wine and food tourism in Italy: an analysis of official statistical data at province level?, in First European Conference on Wine and Food Tourism, 2011.

P.  Pavone, Natilli, M., and Romano, M. Francesca, ?The language of tourists in a wine and food blog?, in First European Conference on Wine and Food Tourism, 2011.

G.  Rossetti, Berlingerio, M., and Giannotti, F., ?Link Prediction su Reti Multidimensionali?, in Sistemi Evoluti per Basi di Dati - {SEBD} 2011, Proceedings of the Nineteenth Italian Symposium on Advanced Database Systems, Maratea, Italy, June 26-29, 2011, 2011.

L.  Leone, Marchitiello, M., Natilli, M., and Romano, M. Francesca, ?Measuring the effectiveness of homeopathic care through objective and shared indicators?, Homeopathy, vol. 100, pp. 212?219, 2011.

B.  Furletti and Turini, F., ?Mining Influence Rules out of Ontologies?, in International Conference on Software and Data Technologies (ICSOFT), Siviglia, Spagna, 2011.

R.  Trasarti, Pinelli, F., Nanni, M., and Giannotti, F., ?Mining mobility user profiles for car pooling?, in KDD, 2011, pp. 1190-1198.

F.  Giannotti, Lakshmanan, L. V. S., Monreale, A., Pedreschi, D., and Wang, H. Wendy, ?Privacy-preserving data mining from outsourced databases.?, in  the 3rd International Conference on Computers, Privacy, and Data Protection: An element of choice , 2011.

M.  Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., ?The pursuit of hubbiness: Analysis of hubs in large multidimensional networks?, J. Comput. Science, vol. 2, pp. 223-237, 2011.

R.  Trasarti, Giannotti, F., Nanni, M., Pedreschi, D., and Renso, C., ?A Query Language for Mobility Data Mining?, IJDWM, vol. 7, pp. 24-45, 2011.

G.  Rossetti, Berlingerio, M., and Giannotti, F., ?Scalable Link Prediction on Multidimensional Networks?, in ICDM Workshops, Vancouver, 2011, pp. 979-986.

A.  Sirbu, Ruskin, H. J., and Crane, M., ?Stages of Gene Regulatory Network Inference: the Evolutionary Algorithm Role?, in Evolutionary Algorithms, InTech, 2011.

G.  Tomei, Paletti, F., and Natilli, M., ?Stiramenti identitari. Strategie di integrazione degli strannieri nella provincia di Massa Carrara tra appartenenza etnica ed esperienza transnazionale?, 2011.

R.  Ong, Pinelli, F., Trasarti, R., Nanni, M., Renso, C., Rinzivillo, S., and Giannotti, F., ?Traffic Jams Detection Using Flock Mining?, in ECML/PKDD (3), 2011, pp. 650-653.

F.  Giannotti, Nanni, M., Pedreschi, D., Pinelli, F., Renso, C., Rinzivillo, S., and Trasarti, R., ?Unveiling the complexity of human mobility by querying and mining massive trajectory data?, VLDB J., vol. 20, pp. 695-719, 2011.

S.  Rinzivillo and Ruggieri, S., ?Who/Where Are My New Customers??, in ISMIS Industrial Session, 2011, pp. 307-317.

M.  Nanni, Trasarti, R., Renso, C., Giannotti, F., and Pedreschi, D., ?Advanced knowledge discovery on movement data with the GeoPKDD system?, in EDBT, 2010, pp. 693-696.

M.  Nanni, Trasarti, R., Renso, C., Giannotti, F., and Pedreschi, D., ?Advanced knowledge discovery on movement data with the GeoPKDD system?, in EDBT, 2010, pp. 693-696.

M.  Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., ?As Time Goes by: Discovering Eras in Evolving Social Networks?, in PAKDD (1), 2010, pp. 81-90.

A.  Sirbu, Ruskin, H. J., and Crane, M., ?Comparison of evolutionary algorithms in gene regulatory network model inference.?, BMC Bioinformatics, vol. 11, p. 59, 2010.

A.  Sirbu, Ruskin, H. J., and Crane, M., ?Cross-platform microarray data normalisation for regulatory network inference.?, PLoS One, vol. 5, p. e13822, 2010.

M.  Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., ?Discovering Eras in Evolving Social Networks (Extended Abstract)?, in SEBD, 2010, pp. 78-85.

R.  Trasarti, Rinzivillo, S., Pinelli, F., Nanni, M., Monreale, A., Renso, C., Pedreschi, D., and Giannotti, F., ?Exploring Real Mobility Data with M-Atlas?, in ECML/PKDD (3), 2010, pp. 624-627.

G.  Andrienko, Andrienko, N., Giannotti, F., Monreale, A., Pedreschi, D., and Rinzivillo, S., ?A Generalisation-based Approach to Anonymising Movement Data?, 13th AGILE conference on Geographic Information Science. 2010.

B.  Furletti, Turini, F., Bellandi, A., Baglioni, M., and Pratesi, C., ?Improving the Business Plan Evaluation Process: the Role of Intangibles?, Quality Technology & Quantitative Management, vol. 7, 2010.

A.  Monreale, Pinelli, F., Trasarti, R., and Giannotti, F., ?Location Prediction through Trajectory Pattern Mining (Extended Abstract)?, in SEBD, 2010, pp. 134-141.

F.  Giannotti, Nanni, M., Pedreschi, D., Pinelli, F., Renso, C., Rinzivillo, S., and Trasarti, R., ?Mobility data mining: discovering movement patterns from trajectory data?, in Computational Transportation Science, 2010, pp. 7-10.

A.  Monreale, Andrienko, G., Andrienko, N., Giannotti, F., Pedreschi, D., Rinzivillo, S., and Wrobel, S., ?Movement Data Anonymity through Generalization?, Transactions on Data Privacy, vol. 3, pp. 91?121, 2010.

A.  Monreale, Trasarti, R., Renso, C., Pedreschi, D., and Bogorny, V., ?Preserving privacy in semantic-rich trajectories of human mobility?, in SPRINGL, 2010, pp. 47-54.

M.  Nanni and Trasarti, R., ?Querying and mining trajectories with gaps: a multi-path reconstruction approach (Extended Abstract)?, in SEBD, 2010, pp. 126-133.

A.  Sirbu, Ruskin, H. J., and Crane, M., ?Regulatory network modelling: Correlation for structure and parameter optimisation?, Proceedings of The IASTED Technology Conferences (International Conference on Computational Bioscience), Cambridge, Massachusetts, pp. 3473?3481, 2010.

S.  Kisilevich, Mansmann, F., Nanni, M., and Rinzivillo, S., ?Spatio-temporal clustering?, in Data Mining and Knowledge Discovery Handbook, 2010, pp. 855-874.

M.  Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., ?Towards Discovery of Eras in Social Networks?, in M3SN 2010 Workshop, in conjunction with ICDE2010, 2010.

R. G.  Pensa, Monreale, A., Pinelli, F., and Pedreschi, D., ?Anonymous Sequences from Trajectory Data?, 17th Italian Symposium on Advanced Database Systems. Camogli, Italy, 2009.

F.  Bonchi, Giannotti, F., Lucchese, C., Orlando, S., Perego, R., and Trasarti, R., ?A constraint-based querying system for exploratory pattern discovery?, Inf. Syst., vol. 34, pp. 3-27, 2009.

F.  Bonchi, Giannotti, F., Lucchese, C., Orlando, S., Perego, R., and Trasarti, R., ?A constraint-based querying system for exploratory pattern discovery?, Inf. Syst., vol. 34, pp. 3-27, 2009.

R.  Trasarti, Baglioni, M., and Renso, C., ?DAMSEL: A System for Progressive Querying and Reasoning on Movement Data?, in DEXA Workshops, 2009, pp. 452-456.

C. R.  Daniel Ornellana, ?Developing a Spatial Knowledge Representation for Pedestrian Interactions?, 2009.

F.  Giannotti, Pedreschi, D., and Theodoridis, Y., ?Geographic privacy-aware knowledge discovery and delivery?, in EDBT, 2009, pp. 1157-1158.

F.  Giannotti, Nanni, M., Pedreschi, D., Renso, C., Rinzivillo, S., and Trasarti, R., ?GeoPKDD ? Geographic Privacy-aware Knowledge Discovery?, in The European Future Technologies Conference (FET 2009), 2009.

D.  Pedreschi, Ruggieri, S., and Turini, F., ?Integrating induction and deduction for finding evidence of discrimination?, in ICAIL, 2009, pp. 157-166.

M.  Nanni and Trasarti, R., ?K-BestMatch Reconstruction and Comparison of Trajectory Data?, in ICDM Workshops, 2009, pp. 610-615.

M.  Nanni and Trasarti, R., ?K-BestMatch Reconstruction and Comparison of Trajectory Data?, in ICDM Workshops, 2009, pp. 610-615.

D.  Pedreschi, Ruggieri, S., and Turini, F., ?Measuring Discrimination in Socially-Sensitive Decision Records?, in SDM, 2009, pp. 581-592.

M.  Berlingerio, Bonchi, F., Curcio, M., Giannotti, F., and Turini, F., ?Mining Clinical, Immunological, and Genetic Data of Solid Organ Transplantation?, in Biomedical Data and Applications, 2009, pp. 211-236.

M.  Berlingerio, Bonchi, F., Bringmann, B., and Gionis, A., ?Mining Graph Evolution Rules?, in ECML/PKDD 2009, Bled, Slovenia, 2009, pp. 115-130.

F.  Giannotti, Nanni, M., Pedreschi, D., Renso, C., and Trasarti, R., ?Mining Mobility Behavior from Trajectory Data?, in CSE (4), 2009, pp. 948-951.

M.  Berlingerio, Coscia, M., and Giannotti, F., ?Mining the Information Propagation in a Network?, in SEBD, 2009, pp. 333-340.

M.  Berlingerio, Coscia, M., and Giannotti, F., ?Mining the Information Propagation in a Network?, in SEBD, 2009, pp. 333-340.

M.  Berlingerio, Coscia, M., and Giannotti, F., ?Mining the Temporal Dimension of the Information Propagation?, in IDA, 2009, pp. 237-248.

M.  Berlingerio, Coscia, M., and Giannotti, F., ?Mining the Temporal Dimension of the Information Propagation?, in IDA, 2009, pp. 237-248.

G.  Andrienko, Andrienko, N., Giannotti, F., Monreale, A., and Pedreschi, D., ?Movement data anonymity through generalization?, in Proceedings of the 2nd SIGSPATIAL ACM GIS 2009 International Workshop on Security and Privacy in GIS and LBS, 2009.

R.  Trasarti, Bonchi, F., and Goethals, B., ?A new technique for sequential pattern mining under regular expressions?, in SEBD, 2009, pp. 325-332.

B.  Furletti, ?Ontology Driven Knowledge Discovery?, IMT - Lucca, Lucca - Italy, 2009.

G.  Tomei and Natilli, M., ?Poverty as a Social Condition: a Case Study on a Small Municipality in Tuscany?, in Global Recession: Regional Impacts on Housing, Jobs, Health and Wellbeing, 2009.

M.  Wachowicz, de Macêdo, J. A. F., Renso, C., and Ligtenberg, A., ?{The Role of a Multi-tier Ontological Framework in Reasoning to Discover Meaningful Patterns of Sustainable Mobility}?, 2009.

M.  Coscia, Giannotti, F., and Pensa, R. G., ?Social Network Analysis as Knowledge Discovery Process: A Case Study on Digital Bibliography?, in ASONAM, 2009, pp. 279-283.

M.  Coscia, Giannotti, F., and Pensa, R. G., ?Social Network Analysis as Knowledge Discovery Process: A Case Study on Digital Bibliography?, in ASONAM, 2009, pp. 279-283.

M.  Berlingerio, Pinelli, F., Nanni, M., and Giannotti, F., ?Temporal mining for interactive workflow data analysis?, in KDD, 2009, pp. 109-118.

M.  Baglioni, de Macêdo, J. A. F., Renso, C., Trasarti, R., and Wachowicz, M., ?Towards Semantic Interpretation of Movement Behavior?, in AGILE Conf., 2009, pp. 271-288.

M.  Baglioni, de Macêdo, J. A. F., Renso, C., Trasarti, R., and Wachowicz, M., ?Towards Semantic Interpretation of Movement Behavior?, in AGILE Conf., 2009, pp. 271-288.

F.  Giannotti, Nanni, M., Pedreschi, D., and Pinelli, F., ?Trajectory pattern analysis for urban traffic?, in Second International Workshop on Computational Transportation Science, SEATTLE, USA, 2009, pp. 43-47.

G.  Andrienko, Andrienko, N., Rinzivillo, S., Nanni, M., and Pedreschi, D., ?A Visual Analytics Toolkit for Cluster-Based Classification of Mobility Data?, in SSTD, 2009, pp. 432-435.

G.  Andrienko, Andrienko, N., Rinzivillo, S., Nanni, M., Pedreschi, D., and Giannotti, F., ?Visual Cluster Analysis of Large Collections of Trajectories?, in IEEE Visual Analytics Science and Tecnology (VAST 2009), 2009.

A.  Monreale, Pinelli, F., Trasarti, R., and Giannotti, F., ?WhereNext: a Location Predictor on Trajectory Pattern Mining?, 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2009.

M. Francesca Romano and Natilli, M., ?Wine tourism in Italy: New profiles, styles of consumption, ways of touring?, Turizam: me?unarodni znanstveno-stru?ni ?asopis, vol. 57, pp. 463?475, 2009.

M.  Atzori, Bonchi, F., Giannotti, F., and Pedreschi, D., ?Anonymity preserving pattern discovery?, VLDB J., vol. 17, pp. 703-727, 2008.

T.  Ceccarelli, Centeno, D., Giannotti, F., Massolo, A., Parent, C., Raffaetà, A., Renso, C., Spaccapietra, S., and Turini, F., ?An Application of Advanced Spatio-Temporal Formalisms to Behavioural Ecology?, 2008.

A.  Raffaetà, Ceccarelli, T., Centeno, D., Giannotti, F., Massolo, A., Parent, C., Renso, C., Spaccapietra, S., and Turini, F., ?An Application of Advanced Spatio-Temporal Formalisms to Behavioural Ecology?, GeoInformatica, vol. 12, pp. 37-72, 2008.

V.  Grossi, Romei, A., and Ruggieri, S., ?A Case Study in Sequential Pattern Mining for IT-Operational Risk?, in ECML/PKDD (1), 2008, pp. 424-439.

M.  Wachowicz, Ligtenberg, A., Renso, C., and Gürses, S. F., ?Characterising the Next Generation of Mobile Applications Through a Privacy-Aware Geographic Knowledge Discovery Process?, in Mobility, Data Mining and Privacy, Mobility, Privacy, and Geography: a Knowledge Discovery vision, 2008, pp. 39-72.

A.  Zanda, Körner, C., Giannotti, F., Schulz, D., and May, M., ?Clustering of German municipalities based on mobility characteristics: an overview of results?, in GIS, 2008, p. 69.

R.  Ortale, Ritacco, E., Pelekisy, N., Trasarti, R., Costa, G., Giannotti, F., Manco, G., Renso, C., and Theodoridis, Y., ?DAEDALUS: A knowledge discovery analysis framework for movement data?, in SEBD, 2008, pp. 191-198.

R.  Ortale, Ritacco, E., Pelekis, N., Trasarti, R., Costa, G., Giannotti, F., Manco, G., Renso, C., and Theodoridis, Y., ?The DAEDALUS framework: progressive querying and mining of movement data?, in GIS, 2008, p. 52.

D.  Bacciu, Bellandi, A., Furletti, B., Grossi, V., and Romei, A., ?Discovering Strategic Behaviour in Multi- Agent Scenarios by Ontology-Driven Mining?, in Advances in Robotics, Automation and Control, 2008.

D.  Pedreschi, Ruggieri, S., and Turini, F., ?Discrimination-aware data mining?, in KDD, 2008, pp. 560-568.

B.  Furletti, Fornasari, F., and Montanari, C., ?AN EXTENSIBLE AND INTERACTIVE SOFTWARE AGENT FOR MOBILE DEVICES BASED ON GPS DATA?, in IADIS International Conference Applied Computing, 2008.

S.  Rinzivillo, Turini, F., Bogorny, V., Körner, C., Kuijpers, B., and May, M., ?Knowledge Discovery from Geographical Data?, in Mobility, Data Mining and Privacy, 2008, pp. 243-265.

F.  Pinelli, Monreale, A., Trasarti, R., and Giannotti, F., ?Location prediction within the mobility data analysis environment Daedalus?, First International Workshop on Computational Transportation Science. Dublin, Ireland, 2008.

F.  Giannotti and Pedreschi, D., ?Mobility, Data Mining and Privacy: A Vision of Convergence?, in Mobility, Data Mining and Privacy, 2008, pp. 1-11.

F.  Giannotti and Pedreschi, D., Mobility, Data Mining and Privacy - Geographic Knowledge Discovery. Springer, 2008.

F.  Giannotti, Pedreschi, D., and Turini, F., ?Mobility, Data Mining and Privacy the Experience of the GeoPKDD Project?, in PinKDD, 2008, pp. 25-32.

B.  Furletti, Bellandi, A., Grossi, V., and Romei, A., ?Ontological Support for Association Rule Mining?, in IASTED International Conference on Artificial Intelligence and Applications (AIA), Innsbruck, Austria , 2008.

M.  Baglioni, de Macêdo, J. A. F., Renso, C., and Wachowicz, M., ?An Ontology-Based Approach for the Semantic Modelling and Reasoning on Trajectories?, in ER Workshops, 2008, pp. 344-353.

F.  Turini, Furletti, B., Baglioni, M., Spinsanti, L., and Bellandi, A., ?Ontology-Based Business Plan Classification?, in Enterprise Distributed Object Computing Conference (EDOC), 2008.

M.  Baglioni, Bellandi, A., Furletti, B., Spinsanti, L., and Turini, F., ?Ontology-Based Business Plan Classification?, in EDOC, 2008, pp. 365-371.

M.  Baglioni, Giovannetti, E., Masserotti, M. V., Renso, C., and Spinsanti, L., ?Ontology-driven Querying of Geographical Databases?, pp. 31?44, 2008.

R. G.  Pensa, Monreale, A., Pinelli, F., and Pedreschi, D., ?Pattern-Preserving k-Anonymization of Sequences and its Application to Mobility Data Mining?, in PiLBA, 2008.

D.  Pedreschi, Bonchi, F., Turini, F., Verykios, V. S., Atzori, M., Malin, B., Moelans, B., and Saygin, Y., ?Privacy Protection: Regulations and Technologies, Opportunities and Threats?, in Mobility, Data Mining and Privacy, 2008, pp. 101-119.

G.  Manco, Baglioni, M., Giannotti, F., Kuijpers, B., Raffaetà, A., and Renso, C., ?Querying and Reasoning for Spatiotemporal Data Mining?, in Mobility, Data Mining and Privacy, 2008, pp. 335-374.

G.  Manco, Baglioni, M., Giannotti, F., Kuijpers, B., Raffaetà, A., and Renso, C., ?Querying and Reasoning for Spatio-Temporal Data Mining?, Mobility, Privacy, and Geography: a Knowledge Discovery vision, 2008.

M.  Nanni, Kuijpers, B., Körner, C., May, M., and Pedreschi, D., ?Spatiotemporal Data Mining?, in Mobility, Data Mining and Privacy, 2008, pp. 267-296.

M.  Berlingerio, Giannotti, F., Nanni, M., and Pinelli, F., ?Temporal analysis of process logs: a case study?, in SEBD, 2008, pp. 430-437.

S.  Ruggieri and Mesnard, F., ?Typing Linear Constraints for Moding CLP() Programs?, in SAS, 2008, pp. 128-143.

S.  Rinzivillo, Pedreschi, D., Nanni, M., Giannotti, F., Andrienko, N., and Andrienko, G., ?Visually driven analysis of movement data by progressive clustering?, Information Visualization, vol. 7, pp. 225-239, 2008.

C.  Renso, Puntoni, S., Frentzos, E., Mazzoni, A., Moelans, B., Pelekis, N., and Pini, F., ?Wireless Network Data Sources: Tracking and Synthesizing Trajectories?, in Mobility, Data Mining and Privacy, 2008, pp. 73-100.

M.  Baglioni, Masserotti, M. V., Renso, C., and Spinsanti, L., ?Building Geospatial Ontologies from Geographical Databases?, in GeoS, 2007, pp. 195-209.

O.  Abul, Atzori, M., Bonchi, F., and Giannotti, F., ?Hiding Sensitive Trajectory Patterns?, in ICDM Workshops, 2007, pp. 693-698.

O.  Abul, Atzori, M., Bonchi, F., and Giannotti, F., ?Hiding Sequences?, in ICDE Workshops, 2007, pp. 147-156.

O.  Abul, Atzori, M., Bonchi, F., and Giannotti, F., ?Hiding Sequences?, in SEBD, 2007, pp. 233-241.

S.  Rinzivillo and Turini, F., ?Knowledge discovery from spatial transactions?, Journal of Intelligent Information Systems, vol. 28, pp. 1-22, 2007.

M.  Berlingerio, Bonchi, F., Giannotti, F., and Turini, F., ?Mining Clinical Data with a Temporal Dimension: A Case Study?, in BIBM, 2007, pp. 429-436.

B.  Furletti, Bellandi, A., Grossi, V., and Romei, A., ?Ontology-Driven Association Rule Extraction: A Case Study?, in International Workshop on Contexts and Ontologies: Representation and Reasoning, Roskilde, Denmark, 2007.

M.  Atzori, Bonchi, F., Giannotti, F., Pedreschi, D., and Abul, O., ?Privacy-Aware Knowledge Discovery from Location Data?, in MDM, 2007, pp. 283-287.

B.  Furletti, Bellandi, A., Romei, A., and Grossi, V., ?PUSHING CONSTRAINTS IN ASSOCIATION RULE MINING: AN ONTOLOGY-BASED APPROACH ?, in  IADIS International Conference WWW/Internet 2007, 2007.

M.  Berlingerio, Bonchi, F., Giannotti, F., and Turini, F., ?Time-Annotated Sequences for Medical Data Mining?, in ICDM Workshops, 2007, pp. 133-138.

M.  Berlingerio, Bonchi, F., and Giannotti, F., ?Towards Constraint-Based Subgraph Mining?, in SEBD, 2007, pp. 274-281.

F.  Giannotti, Nanni, M., Pinelli, F., and Pedreschi, D., ?Trajectory pattern mining?, in KDD, 2007, pp. 330-339.

F.  Bonchi, Giannotti, F., Lucchese, C., Orlando, S., Perego, R., and Trasarti, R., ?ConQueSt: a Constraint-based Querying System for Exploratory Pattern Discovery?, in ICDE, 2006, p. 159.

F.  Giannotti, Nanni, M., and Pedreschi, D., ?Efficient Mining of Temporally Annotated Sequences?, in SDM, 2006.

F.  Turini, Baglioni, M., Furletti, B., and Rinzivillo, S., ?Examples of Integration of Induction and Deduction in Knowledge Discovery?, in Reasoning, Action and Interaction in AI Theories and Systems, vol. 4155, 2006, pp. 307-326.

F.  Turini, Baglioni, M., Furletti, B., and Rinzivillo, S., ?Examples of Integration of Induction and Deduction in Knowledge Discovery?, in Reasoning, Action and Interaction in AI Theories and Systems, 2006, pp. 307-326.

F.  Bonchi, Giannotti, F., Lucchese, C., Orlando, S., Perego, R., and Trasarti, R., ?On Interactive Pattern Mining from Relational Databases?, in KDID, 2006, pp. 42-62.

C.  Lucchese, Bonchi, F., Giannotti, F., Orlando, S., Perego, R., and Trasarti, R., ?On Interactive Pattern Mining from Relational Databases?, in SEBD, 2006, pp. 329-338.

H.  Hosni, Masserotti, M. V., and Renso, C., ?Maximum Entropy Reasoning for GIS?, 2006.

M.  Berlingerio, Bonchi, F., Chelazzi, S., Curcio, M., Giannotti, F., and Scatena, F., ?Mining HLA Patterns Explaining Liver Diseases?, in CBMS, 2006, pp. 702-707.

F.  Giannotti, Nanni, M., Pedreschi, D., and Pinelli, F., ?Mining sequences with temporal annotations?, in SAC, 2006, pp. 593-597.

M.  Nanni and Pedreschi, D., ?Time-focused clustering of trajectories of moving objects?, J. Intell. Inf. Syst., vol. 27, pp. 267-289, 2006.

M.  Baglioni, Furletti, B., and Turini, F., ?A Tool for Economic Plans analysis based on expert knowledge and data mining techniques?, in  IADIS International Conference Applied Computing 2006 , 2006.

M.  Atzori, Bonchi, F., Giannotti, F., and Pedreschi, D., ?Towards low-perturbation anonymity preserving pattern discovery?, in SAC, 2006, pp. 588-592.

M.  Atzori, Bonchi, F., Giannotti, F., and Pedreschi, D., ?Anonymity and data mining?, Comput. Syst. Sci. Eng., vol. 20, 2005.

M.  Atzori, Bonchi, F., Giannotti, F., and Pedreschi, D., ?Blocking Anonymity Threats Raised by Frequent Itemset Mining?, in ICDM, 2005, pp. 561-564.

G.  Betti, Mulas, A., Natilli, M., Neri, L., and Verma, V., ?Comparative indicators of regional poverty and deprivation: Poland versus EU-15 Member States?, in conference Comparative Economic Analysis of Households? Behaviour (CEAHB): Old and New EU Members, Warsaw University, 2005.

M.  Baglioni, Furletti, B., and Turini, F., ?DrC4.5: Improving C4.5 by means of Prior Knowledge?, in ACM Symposium on Applied Computing, Santa Fe, New Mexico, USA, 2005.

F.  Bonchi, Giannotti, F., Mazzanti, A., and Pedreschi, D., ?Efficient breadth-first mining of frequent pattern with monotone constraints?, Knowl. Inf. Syst., vol. 8, pp. 131-153, 2005.

F.  Bonchi, Giannotti, F., Mazzanti, A., and Pedreschi, D., ?Exante: A Preprocessing Method for Frequent-Pattern Mining?, IEEE Intelligent Systems, vol. 20, pp. 25-31, 2005.

S.  Rinzivillo and Turini, F., ?Extracting spatial association rules from spatial transactions?, in ACM GIS, 2005, pp. 79-86.

V.  Verma, Betti, G., Natilli, M., and Lemmi, A., ?Indicators of social exclusion and poverty in Europe?s regions?. 2005.

F.  Giannotti, Mazzoni, A., Puntoni, S., and Renso, C., ?Synthetic generation of cellular network positioning data?, in GIS, 2005, pp. 12-20.

F.  Giannotti, Mazzoni, A., Puntoni, S., and Renso, C., ?Synthetic generation of cellular network positioning data?, in GIS, 2005, pp. 12-20.

D.  Pedreschi and Ruggieri, S., ?Bounded Nondeterminism of Logic Programs?, Ann. Math. Artif. Intell., vol. 42, pp. 313-343, 2004.

D.  Pedreschi, Ruggieri, S., and Smaus, J. - G., ?Characterisations of Termination in Logic Programming?, in Program Development in Computational Logic, 2004, pp. 376-431.

S.  Rinzivillo and Turini, F., ?Classification in Geographical Information Systems?, in PKDD, 2004, pp. 374-385.

M.  Nanni, Raffaetà, A., Renso, C., and Turini, F., ?Deductive and Inductive Reasoning on Spatio-Temporal Data?, in INAP/WLP, 2004, pp. 98-115.

M.  Nanni, Raffaetà, A., Renso, C., and Turini, F., ?Deductive and Inductive Reasoning on Trajectories?, in SEBD, 2004, pp. 98-105.

V.  Bacarella, Giannotti, F., Nanni, M., and Pedreschi, D., ?Discovery of ads web hosts through traffic data analysis?, in DMKD, 2004, pp. 76-81.

F.  Bonchi, Giannotti, F., and Pedreschi, D., ?Frequent Pattern Queries for Flexible Knowledge Discovery?, in SEBD, 2004, pp. 250-261.

P.  Mancarella, Raffaetà, A., Renso, C., and Turini, F., ?Integrating knowledge representation and reasoning in Geographical Information Systems?, International Journal of Geographical Information Science, vol. 18, pp. 417-447, 2004.

P.  Mancarella, Raffaetà, A., Renso, C., and Turini, F., ?Integrating Knowledge Representation and Reasoning in Geographical?, 2004.

C.  Alfonsi, Scarabottolo, N., Pedreschi, D., and Simi, M., ?IT4PS: information technology for problem solving?, in ITiCSE, 2004, p. 241.

J. - F.  Boulicaut, Esposito, F., Giannotti, F., and Pedreschi, D., ?Knowledge Discovery in Databases: PKDD 2004, 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004, Proceedings?, Lecture Notes in Computer Science, vol. 3202. Springer, 2004.

J. - F.  Boulicaut, Esposito, F., Giannotti, F., and Pedreschi, D., ?Machine Learning: ECML 2004, 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004, Proceedings?, Lecture Notes in Computer Science, vol. 3201. Springer, 2004.

M.  Nanni, Raffaetà, A., Renso, C., and Turini, F., ?\newblock{A Declarative Framework for Reasoning on Spatio-temporal Data}?, 2004.

F.  Bonchi and Giannotti, F., ?Pushing Constraints to Detect Local Patterns?, in Local Pattern Detection, 2004, pp. 1-19.

F.  Bonchi, Giannotti, F., and Pedreschi, D., ?A Relational Query Primitive for Constraint-Based Pattern Mining?, in Constraint-Based Mining and Inductive Databases, 2004, pp. 14-37.

F.  Giannotti, Manco, G., and Turini, F., ?Specifying Mining Algorithms with Iterative User-Defined Aggregates?, IEEE Trans. Knowl. Data Eng., vol. 16, pp. 1232-1246, 2004.

F.  Giannotti, Manco, G., and Turini, F., ?Towards a Logic Query Language for Data Mining?, in Database Support for Data Mining Applications, 2004, pp. 76-94.

F.  Bonchi, Giannotti, F., Mazzanti, A., and Pedreschi, D., ?Adaptive Constraint Pushing in Frequent Pattern Mining?, in PKDD, 2003, pp. 47-58.

F.  Bonchi, Giannotti, F., Mazzanti, A., and Pedreschi, D., ?ExAMiner: Optimized Level-wise Frequent Pattern Mining with Monotone Constraint?, in ICDM, 2003, pp. 11-18.

F.  Bonchi, Giannotti, F., Mazzanti, A., and Pedreschi, D., ?ExAnte: Anticipated Data Reduction in Constrained Pattern Mining?, in PKDD, 2003, pp. 59-70.

D.  Pedreschi and Ruggieri, S., ?On logic programs that always succeed?, Sci. Comput. Program., vol. 48, pp. 163-196, 2003.

F.  Giannotti, Manco, G., and Wijsen, J., ?Logical Languages for Data Mining?, in Logics for Emerging Applications of Databases, 2003, pp. 325-361.

V.  Verma, Betti, G., Ballini, F., Natilli, M., and Galgani, S., ?Personal income in the gross and net forms: applications of the Siena Micro-Simulation Model (SM2)?, in conference of the Società Italiana di Economia, Demografia e Statistica (SIEDS), Campobasso, 2003.

F.  Bonchi, Giannotti, F., Mazzanti, A., and Pedreschi, D., ?Pre-processing for Constrained Pattern Mining?, in SEBD, 2003, pp. 519-530.

A.  Raffaetà, Renso, C., and Turini, F., ?Qualitative Spatial Reasoning in a Logical Framework?, in AI*IA, 2003, pp. 78-90.

A.  Gargantini, Riccobene, E., and Rinzivillo, S., ?Using Spin to Generate Tests from ASM Specifications?, in Abstract State Machines, 2003, pp. 263-277.

F.  Giannotti, Nanni, M., Pedreschi, D., and Samaritani, F., ?WebCat: Automatic Categorization of Web Search Results?, in SEBD, 2003, pp. 507-518.

F.  Giannotti, Gozzi, C., and Manco, G., ?Characterizing Web User Accesses: A Transactional Approach to Web Log Clustering?, in ITCC, 2002, p. 312.

D.  Pedreschi, Ruggieri, S., and Smaus, J. - G., ?Classes of terminating logic programs?, TPLP, vol. 2, pp. 369-418, 2002.

F.  Giannotti, Gozzi, C., and Manco, G., ?Clustering Transactional Data?, in PKDD, 2002, pp. 175-187.

P.  Mascellani and Pedreschi, D., ?The Declarative Side of Magic?, in Computational Logic: Logic Programming and Beyond, 2002, pp. 83-108.

A.  Raffaetà, Turini, F., and Renso, C., ?Enhancing GISs for spatio-temporal reasoning?, in ACM-GIS, 2002, pp. 42-48.

F.  Giannotti, ?Invited talk: Logical Data Mining Query Languages?, in KDID, 2002, p. 1.

F.  Giannotti and Manco, G., ?LDL-M$_{\mbox{ine}}$: Integrating Data Mining with Intelligent Query Answering?, in JELIA, 2002, pp. 517-520.

P.  Mancarella, Pedreschi, D., and Ruggieri, S., ?Negation as Failure through Abduction: Reasoning about Termination?, in Computational Logic: Logic Programming and Beyond, 2002, pp. 240-272.

A.  Raffaetà, Renso, C., and Turini, F., ?Qualitative Reasoning in a Spatio-Temporal Language?, in SEBD, 2002, pp. 105-118.

D.  Pedreschi, Ruggieri, S., and Smaus, J. - G., ?Classes of Terminating Logic Programs?, CoRR, vol. cs.LO/0106, 2001.

F.  Giannotti, Gozzi, C., and Manco, G., ?Clustering Transactional Data?, in SEBD, 2001, pp. 163-176.

F.  Giannotti, Raffaetà, A., Renso, C., and Turini, F., ?Complex Reasoning on Geographical Data?, in SEBD, 2001, pp. 331-338.

F.  Giannotti, Raffaetà, A., Renso, C., and Turini, F., ?Complex Reasoning on Geographical Data?, in SEBD, 2001, pp. 331-338.

F.  Bonchi, Giannotti, F., Manco, G., Renso, C., Nanni, M., Pedreschi, D., and Ruggieri, S., ?Data Mining for Intelligent Web Caching?, in ITCC, 2001, pp. 599-603.

F.  Bonchi, Giannotti, F., Manco, G., Renso, C., Nanni, M., Pedreschi, D., and Ruggieri, S., ?Data Mining for Intelligent Web Caching?, in ITCC, 2001, pp. 599-603.

F.  Giannotti, Manco, G., Nanni, M., and Pedreschi, D., ?Nondeterministic, Nonmonotonic Logic Databases?, IEEE Trans. Knowl. Data Eng., vol. 13, pp. 813-823, 2001.

F.  Giannotti, Pedreschi, D., and Zaniolo, C., ?Semantics and Expressive Power of Nondeterministic Constructs in Deductive Databases?, J. Comput. Syst. Sci., vol. 62, pp. 15-42, 2001.

F.  Giannotti, Manco, G., and Turini, F., ?Specifying Mining Algorithms with Iterative User-Defined Aggregates: A Case Study?, in PKDD, 2001, pp. 128-139.

F.  Bonchi, Giannotti, F., Gozzi, C., Manco, G., Nanni, M., Pedreschi, D., Renso, C., and Ruggieri, S., ?Web log data warehousing and mining for intelligent web caching?, Data Knowl. Eng., vol. 39, pp. 165-189, 2001.

F.  Bonchi, Giannotti, F., Gozzi, C., Manco, G., Nanni, M., Pedreschi, D., Renso, C., and Ruggieri, S., ?Web Log Data Warehousing and Mining for Intelligent Web Caching?, Data and Knowledge Engineering, 2001.

F.  Bonchi, Giannotti, F., Gozzi, C., Manco, G., Nanni, M., Pedreschi, D., Renso, C., and Ruggieri, S., ?Web log data warehousing and mining for intelligent web caching?, Data Knowl. Eng., vol. 39, pp. 165-189, 2001.

F.  Giannotti and Manco, G., ?Declarative Knowledge Extraction with Interactive User-Defined Aggregates?, in FQAS, 2000, pp. 435-444.

M.  Fayzullin, Nanni, M., Pedreschi, D., and Subrahmanian, V. S., ?Foundations of distributed interaction systems?, Ann. Math. Artif. Intell., vol. 28, pp. 127-168, 2000.

F.  Giannotti, Nanni, M., and Pedreschi, D., ?Logic-Based Knowledge Discovery in Databases?, in EJC, 2000, pp. 279-283.

F.  Giannotti and Manco, G., ?Making Knowledge Extraction and Reasoning Closer?, in PAKDD, 2000, pp. 360-371.

A.  Raffaetà and Renso, C., ?Temporal Reasoning in Geographical Information Systems?, in DEXA Workshop, 2000, pp. 899-905.

D.  Aquilino, Asirelli, P., Formuso, A., Renso, C., and Turini, F., ?Using MedLan to Integrate Geographical Data?, J. Log. Program., vol. 43, pp. 3-14, 2000.

D.  Aquilino, Asirelli, P., Formuso, A., Renso, C., and Turini, F., ?Using Medlan to Integrate Geographical Data?, Journal of Logic Programming, pp. 3?14, 2000.

F.  Bonchi, Giannotti, F., and Pedreschi, D., ?On Verification in Logic Database Languages?, in Computational Logic, 2000, pp. 957-971.

F.  Giannotti, Jeansoulin, R., and Theodoridis, Y., ?Beyond Current Technology: The Perspective of Three EC GIS Projects?, in DEXA Workshop, 1999, p. 510.

D.  Pedreschi and Ruggieri, S., ?Bounded Nondeterminism of Logic Programs?, in ICLP, 1999, pp. 350-364.

F.  Bonchi, Giannotti, F., Mainetto, G., and Pedreschi, D., ?A Classification-Based Methodology for Planning Audit Strategies in Fraud Detection?, in KDD, 1999, pp. 175-184.

A.  Brogi, Renso, C., and Turini, F., ?Dynamic composition of parameterised logic modules?, Comput. Lang., vol. 25, pp. 211-242, 1999.

A.  Brogi, Renso, C., and Turini, F., ?Dynamic Composition of Parameterised Logic Modules?, Computer Languages, pp. 211?242, 1999.

F.  Giannotti, Manco, G., Pedreschi, D., and Turini, F., ?Experiences with a Logic-Based Knowledge Discovery Support Environment?, in AI*IA, 1999, pp. 202-213.

F.  Giannotti, Manco, G., Pedreschi, D., and Turini, F., ?Experiences with a Logic-based knowledge discovery Support Environment?, in 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 1999.

F.  Giannotti, Manco, G., Nanni, M., Pedreschi, D., and Turini, F., ?Integration of Deduction and Induction for Mining Supermarket Sales Data?, in SEBD, 1999, pp. 117-131.

D.  Pedreschi and Ruggieri, S., ?On Logic Programs That Do Not Fail?, Electr. Notes Theor. Comput. Sci., vol. 30, 1999.

F.  Giannotti and Manco, G., ?Querying inductive Databases via Logic-Based user-defined aggregates?, in APPIA-GULP-PRODE, 1999, pp. 605-620.

F.  Giannotti and Manco, G., ?Querying Inductive Databases via Logic-Based User-Defined Aggregates?, in PKDD, 1999, pp. 125-135.

F.  Bonchi, Giannotti, F., Mainetto, G., and Pedreschi, D., ?Una Metodologia Basata sulla Classificazione per la Pianificazione degli Accertamenti nel Rilevamento di Frodi?, in SEBD, 1999, pp. 69-84.

F.  Bonchi, Giannotti, F., Mainetto, G., and Pedreschi, D., ?Using Data Mining Techniques in Fiscal Fraud Detection?, in DaWaK, 1999, pp. 369-376.

D.  Pedreschi and Ruggieri, S., ?Verification of Logic Programs?, J. Log. Program., vol. 39, pp. 125-176, 1999.

P.  Asirelli, Renso, C., and Turini, F., ?The Constraint Operator of MedLan: Its Efficient Implementation and Use?, in IICIS, 1998, pp. 41-55.

F.  Giannotti and Pedreschi, D., ?Datalog with Non-Deterministic Choice Computers NDB-PTIME?, J. Log. Program., vol. 35, pp. 79-101, 1998.

F.  Giannotti, Manco, G., Nanni, M., and Pedreschi, D., ?On the Effective Semantics of Nondeterministic, Nonmonotonic, Temporal Logic Databases?, in CSL, 1998, pp. 58-72.

C.  Renso, Mechanisms for Semantic Integration of Deductive Databases. 1998.

C.  Renso and Ruggieri, S., ?A Mediator Approach for Representing Knowledge?, Intelligent Multimedia Presentation Systems. Human Computer Interaction Letters, 1 (1): 32-38, April 1998., 1998.

F.  Giannotti, Manco, G., Nanni, M., and Pedreschi, D., ?Query Answering in Nondeterministic, Nonmonotonic Logic Databases?, in FQAS, 1998, pp. 175-187.

D.  Pedreschi and Ruggieri, S., ?Weakest Preconditions for Pure Prolog Programs?, Inf. Process. Lett., vol. 67, pp. 145-150, 1998.

D.  Aquilino, Asirelli, P., Renso, C., and Turini, F., ?Applying Restriction Constraint to Deductive Databases?, Annals of Mathematics and Artificial Intelligence, pp. 3?25, 1997.

D.  Aquilino, Asirelli, P., Renso, C., and Turini, F., ?Applying Restriction Constraints to Deductive Databases?, Ann. Math. Artif. Intell., vol. 19, pp. 3-25, 1997.

F.  Giannotti, Manco, G., Nanni, M., and Pedreschi, D., ?Datalog++: A Basis for Active Object-Oriented Databases?, in DOOD, 1997, pp. 283-301.

F.  Giannotti, Manco, G., Nanni, M., and Pedreschi, D., ?Datalog++: a Basis for Active Object.Oriented Databases?, in SEBD, 1997, pp. 325-340.

F.  Giannotti, Manco, G., and Pedreschi, D., ?A Deductive Data Model for Representing and Querying Semistructured Data?, in APPIA-GULP-PRODE, 1997, pp. 129-140.

D.  Pedreschi and Subrahmanian, V. S., ?Non-determinism in Deductive Databases - Preface?, Ann. Math. Artif. Intell., vol. 19, pp. 1-2, 1997.

F.  Giannotti, Greco, S., Saccà, D., and Zaniolo, C., ?Programming with Non-Determinism in Deductive Databases?, Ann. Math. Artif. Intell., vol. 19, pp. 97-125, 1997.

G.  Amato, Giannotti, F., and Mainetto, G., ?Static Analysis of Transactions for Conservative Multigranularity Locking?, in DBPL, 1997, pp. 413-430.

D.  Pedreschi and Ruggieri, S., ?Verification of Meta-Interpreters?, J. Log. Comput., vol. 7, pp. 267-303, 1997.

K. R.  Apt, Gabbrielli, M., and Pedreschi, D., ?A Closer Look at Declarative Interpretations?, J. Log. Program., vol. 28, pp. 147-180, 1996.

P.  Asirelli, Renso, C., and Turini, F., ?Language Extensions for Semantic Integration of Deductive Databases?, in Logic in Databases, 1996, pp. 415-434.

D.  Pedreschi and Zaniolo, C., ?Logic in Databases, International Workshop LID'96, San Miniato, Italy, July 1-2, 1996, Proceedings?, Lecture Notes in Computer Science, vol. 1154. Springer, 1996.

M. E.  Carboni, Deo, A. D., Giannotti, F., and Masserotti, M. V., ?Ragionamento spazio-temporale con LDLT: primi esperimenti verso un sistema deduttivo per applicazioni geografiche?, in SEBD, 1996, pp. 73-90.

M. E.  Carboni, Deo, A. D., Giannotti, F., and Masserotti, M. V., ?Spatio-Temporal Reasoning with LDLT: First Steps Towards a Deductive System for Geographical Applications?, in DDLP, 1996, pp. 135-151.

D.  Aquilino, Renso, C., and Turini, F., ?Towards {D}eclarative {GIS} {A}nalysis?, 1996, pp. 99?105.

D.  Aquilino, Renso, C., and Turini, F., ?Towards Declarative GIS Analysis?, in ACM-GIS, 1996, pp. 98-104.

D.  Montesi, Renso, C., and Turini, F., ?Using Temporary Integrity Constraints to Optimize Databases?, in FAPR, 1996, pp. 430-435.

D.  Pedreschi and Ruggieri, S., ?A Case Study in Logic Program Verification: the Vanilla Metainterpreter?, in GULP-PRODE, 1995, pp. 643-654.

M. E.  Carboni, Foddai, V., Giannotti, F., and Pedreschi, D., ?Declarative Reconstruction of Updates in Logic Databases: a Compilative Approach?, in GULP-PRODE, 1995, pp. 169-182.

M. E.  Carboni, Giannotti, F., Foddai, V., and Pedreschi, D., ?Declarative Reconstruction of Updates in Logic Databases: A Compilative Approach?, in SEBD, 1995, pp. 3-13.

D.  Aquilino, Asirelli, P., Renso, C., and Turini, F., ?An Operator for Composing Deductive Databases with Theories of Constraints?, in LPNMR, 1995, pp. 57-70.

D.  Aquilino, Asirelli, P., Renso, C., and Turini, F., ?An Operator for Composing Deductive Databases with Theories of Constraints?, pp. 57?70, 1995.

F.  Fiore and Giannotti, F., ?An abstract interpreter for the specification language LOTOS?, in FORTE, 1994, pp. 309-323.

A.  Brogi, Renso, C., and Turini, F., ?Amalgamating Language and Meta-language for Composing Logic Programs?, in GULP-PRODE (2), 1994, pp. 408-422.

G.  Amato, Giannotti, F., and Mainetto, G., ?Conservative Multigranularity Locking for an Obiect-Oriented Persistent Language via Abstract Interpretation?, in SEBD, 1994, pp. 329-349.

L.  Corciulo, Giannotti, F., Pedreschi, D., and Zaniolo, C., ?Expressive Power of Non-Deterministic Operators for Logic-based Languages?, in Workshop on Deductive Databases and Logic Programming, 1994, pp. 27-40.

F.  Giannotti and Latella, D., ?Gate Splitting in LOTOS Specifications Using Abstract Interpretation?, Sci. Comput. Program., vol. 23, pp. 127-149, 1994.

A.  Brogi, Chiarelli, A., Mancarella, P., Mazzotta, V., Pedreschi, D., Renso, C., and Turini, F., ?Implementations of Program Composition Operations?, pp. 292?307, 1994.

A.  Brogi, Chiarelli, A., Mancarella, P., Mazzotta, V., Pedreschi, D., Renso, C., and Turini, F., ?Implementations of Program Composition Operations?, in PLILP, 1994, pp. 292-307.

A.  Brogi, Chiarelli, A., Mancarella, P., Mazzotta, V., Pedreschi, D., Renso, C., and Turini, F., ?Implementations of Program Composition Operations?, in PLILP, 1994, pp. 292-307.

A.  Brogi, Mancarella, P., Pedreschi, D., and Turini, F., ?Modular Logic Programming?, ACM Trans. Program. Lang. Syst., vol. 16, pp. 1361-1398, 1994.

D.  Pedreschi, ?A Proof Method for Runtime Properties of Prolog Programs?, in ICLP, 1994, pp. 584-598.

P.  Mascellani and Pedreschi, D., ?Proving termination of Prolog programs?, in GULP-PRODE (1), 1994, pp. 46-61.

G.  Amato, Giannotti, F., and Mainetto, G., ?Data Sharing Analysis for a Database Programming Lanaguage via Abstract Interpretation?, in VLDB, 1993, pp. 405-415.

L.  Corciulo, Giannotti, F., and Pedreschi, D., ?Datalog with Non-Deterministic Choice Computes NDB-PTIME?, in DOOD, 1993, pp. 49-66.

F.  Giannotti and Latella, D., ?Gate Splitting in LOTOS Specifications Using Abstract Interpretation?, in TAPSOFT, 1993, pp. 437-452.

K. R.  Apt and Pedreschi, D., ?Reasoning about Termination of Pure Prolog Programs?, Inf. Comput., vol. 106, pp. 109-157, 1993.

G.  Amato, Giannotti, F., and Mainetto, G., ?Static Analysis of Transactions: an Experiment of Abstract Interpretation Usage?, in FMLDO, 1993, pp. 19-29.

A.  Chiarelli, Mazzotta, V., and Renso, C., ?A WAM Estesa per la Composizione di Programi Logici?, in GULP, 1993, pp. 189-202.

G.  Amato, Giannotti, F., and Mainetto, G., ?Analysis of Concurrent Transactions in a Functional Database Programming Language?, in WSA, 1992, pp. 174-184.

A.  Brogi, Mancarella, P., Pedreschi, D., and Turini, F., ?Meta for Modularising Logic Programming?, in META, 1992, pp. 105-119.

B.  Bertolino, Meo, L., Pedreschi, D., and Turini, F., The Type System of LML. 1992, pp. 313-332.

F.  Giannotti and Latella, D., ?Using Abstract Interpretation for Gate splitting in LOTOS Specifications?, in WSA, 1992, pp. 194-204.

F.  Giannotti, Pedreschi, D., Saccà, D., and Zaniolo, C., ?Non-Determinism in Deductive Databases?, in DOOD, 1991, pp. 129-146.

K. R.  Apt and Pedreschi, D., ?Proving Termination of General Prolog Programs?, in TACS, 1991, pp. 265-289.

F.  Giannotti and Hermenegildo, M. V., ?A Technique for Recursive Invariance Detection and Selective Program Specification?, in PLILP, 1991, pp. 323-334.

A.  Brogi, Mancarella, P., Pedreschi, D., and Turini, F., ?Theory Construction in Computational Logic?, in ICLP Workshop on Construction of Logic Programs, 1991, pp. 241-250.

P.  Mancarella, Pedreschi, D., Rondinelli, M., and Tagliatti, M., ?Algebraic Properties of a Class of Logic Programs?, in NACLP, 1990, pp. 23-39.

F.  Giannotti and Pedreschi, D., ?Declarative Semantics for Pruning Operators in Logic Programming?, in LPNMR, 1990, pp. 27-37.

A.  Brogi, Mancarella, P., Pedreschi, D., and Turini, F., ?Logic Programming within a Functional Framework?, in PLILP, 1990, pp. 372-386.

C.  Bertazzoni and Giannotti, F., ?RASP: A Resource Allocator for Software Projects?, in IEA/AIE (Vol. 2), 1990, pp. 628-637.

R.  Barbuti, Mancarella, P., Pedreschi, D., and Turini, F., ?A Transformational Approach to Negation in Logic Programming?, J. Log. Program., vol. 8, pp. 201-228, 1990.

A.  Brogi, Mancarella, P., Pedreschi, D., and Turini, F., ?Universal Quantification by Case Analysis?, in ECAI, 1990, pp. 111-116.

P.  Mancarella and Pedreschi, D., ?An Algebra of Logic Programs?, in ICLP/SLP, 1988, pp. 1006-1023.

P.  Mancarella, Martini, S., and Pedreschi, D., ?Complete Logic Programs with Domain-Closure Axiom?, J. Log. Program., vol. 5, pp. 263-276, 1988.

B.  Bertolino, Mancarella, P., Meo, L., Nini, L., Pedreschi, D., and Turini, F., ?A Progress Report on the LML Project?, in FGCS, 1988, pp. 675-684.

R.  Barbuti, Mancarella, P., Pedreschi, D., and Turini, F., ?Intensional Negation of Logic Programs: Examples and Implementation Techniques?, in TAPSOFT, Vol.2, 1987, pp. 96-110.

F.  Giannotti, Matteucci, A., Pedreschi, D., and Turini, F., ?Symbolic Evaluation with Structural Recursive Symbolic Constants?, Sci. Comput. Program., vol. 9, pp. 161-177, 1987.

V.  Ambriola, Giannotti, F., Pedreschi, D., and Turini, F., ?Symbolic Semantics and Program Reduction?, IEEE Trans. Software Eng., vol. 11, pp. 784-794, 1985.

A.  Albano, Giannotti, F., Orsini, R., and Pedreschi, D., ?The Type System of Galileo?, in Data Types and Persistence (Appin), Informal Proceedings, 1985, pp. 175-195.

A.  Albano, Giannotti, F., Orsini, R., and Pedreschi, D., ?The Type System of Galileo?, in Data Types and Persistence (Appin), 1985, pp. 101-119.