Publications

You are here

Export 5 results:
Author [ Title(Desc)] Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
O
M. Baglioni, Giovannetti, E., Masserotti, M. V., Renso, C., and Spinsanti, L., Ontology-driven Querying of Geographical Databases, pp. 31–44, 2008.
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.
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.
C. Toccaceli, Milli, L., and Rossetti, G., Opinion Dynamic Modeling of Fake News Perception, in International Conference on Complex Networks and Their Applications, 2020.
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.
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.
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.
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.
P
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.
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.
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. 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.
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.
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.
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.
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.
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.
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.
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.
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.
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. Bonchi, Giannotti, F., Mazzanti, A., and Pedreschi, D., Pre-processing for Constrained Pattern Mining, in SEBD, 2003, pp. 519-530.
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.
F. Pratesi, Gabrielli, L., Cintia, P., Monreale, A., and Giannotti, F., PRIMULE: Privacy risk mitigation for user profiles, vol. 125, p. 101786, 2020.

Pages