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A
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.
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.
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.
R. Guidotti, Rossetti, G., and Pedreschi, D., Audio Ergo Sum, in Federation of International Conferences on Software Technologies: Applications and Foundations, 2016.
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.
B
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.
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.
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.
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.
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.
D. Pedreschi and Ruggieri, S., Bounded Nondeterminism of Logic Programs, in ICLP, 1999, pp. 350-364.
D. Pedreschi and Ruggieri, S., Bounded Nondeterminism of Logic Programs, Ann. Math. Artif. Intell., vol. 42, pp. 313-343, 2004.
M. Baglioni, Masserotti, M. V., Renso, C., and Spinsanti, L., Building Geospatial Ontologies from Geographical Databases, in GeoS, 2007, pp. 195-209.
C
G. Rossetti, Morini, V., and Pollacci, L., Capturing Political Polarization of Reddit Submissions in the Trump Era, in SEBD, 2020.
D. Pedreschi and Ruggieri, S., A Case Study in Logic Program Verification: the Vanilla Metainterpreter, in GULP-PRODE, 1995, pp. 643-654.
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.
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.
B. Qureshi, Kamiran, F., Karim, A., and Ruggieri, S., Causal Discrimination Discovery Through Propensity Score Analysis, arXiv preprint arXiv:1608.03735, 2016.
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.
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, 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.
D. Pedreschi, Ruggieri, S., and Smaus, J. - G., Characterisations of Termination in Logic Programming, in Program Development in Computational Logic, 2004, pp. 376-431.
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.

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