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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.
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.
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. 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. 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.
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.
R. Guidotti and Ruggieri, S., “Assessing the Stability of Interpretable Models”, arXiv preprint arXiv:1810.09352, 2018.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
A. Monreale, Pedreschi, D., Pensa, R. G., and Pinelli, F., “Anonymity preserving sequential pattern mining”, Artif. Intell. Law, vol. 22, pp. 141–173, 2014.
M. Atzori, Bonchi, F., Giannotti, F., and Pedreschi, D., “Anonymity preserving pattern discovery”, VLDB J., vol. 17, pp. 703-727, 2008.
M. Atzori, Bonchi, F., Giannotti, F., and Pedreschi, D., “Anonymity and data mining”, Comput. Syst. Sci. Eng., vol. 20, 2005.
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.
G. Rossetti, “ANGEL: efficient, and effective, node-centric community discovery in static and dynamic networks”, Applied Network Science, vol. 5, pp. 1–23, 2020.
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.

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