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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.
G. Rossetti, Morini, V., and Pollacci, L., Capturing Political Polarization of Reddit Submissions in the Trump Era, in SEBD, 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, S\^\irbu, 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.
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.
A. Sirbu, Andrienko, G., Andrienko, N., Boldrini, C., Conti, M., Giannotti, F., Guidotti, R., Bertoli, S., Kim, J., Muntean, C. Ioana, and others, 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, 2020.
S. Citraro and Rossetti, G., Identifying and exploiting homogeneous communities in labeled networks, Applied Network Science, vol. 5, pp. 1–20, 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.
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, pp. 1–26, 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.