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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.
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.
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.
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.
L. Pappalardo, Vanhoof, M., Gabrielli, L., Smoreda, Z., Pedreschi, D., and Giannotti, F., “An analytical framework to nowcast well-being using mobile phone data”, International Journal of Data Science and Analytics, vol. 2, pp. 75–92, 2016.
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. Furletti, Gabrielli, L., Renso, C., and Rinzivillo, S., “Analysis of GSM Calls Data for Understanding User Mobility Behavior”, IEEE Big Data. Santa Clara, California, 2013.
G. Amato, Giannotti, F., and Mainetto, G., “Analysis of Concurrent Transactions in a Functional Database Programming Language”, in WSA, 1992, pp. 174-184.
M. Natilli, Fadda, D., Rinzivillo, S., Pedreschi, D., and Licari, F., “Analysis and Visualization of Performance Indicators in University Admission Tests”, in Formal Methods. FM 2019 International Workshops, Cham, 2020.
B. Furletti, Trasarti, R., Gabrielli, L., Rinzivillo, S., Pappalardo, L., and Giannotti, F., “Analisi di Mobilita' con dati eterogenei”, ISTI - CNR, Pisa, 2012.
A. Brogi, Renso, C., and Turini, F., “Amalgamating Language and Meta-language for Composing Logic Programs”, in GULP-PRODE (2), 1994, pp. 408-422.
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.

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