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