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M. Coscia, Giannotti, F., and Pedreschi, D., A classification for community discovery methods in complex networks, Statistical Analysis and Data Mining, vol. 4, pp. 512-546, 2011.
D. Pedreschi, Ruggieri, S., and Smaus, J. - G., Classes of Terminating Logic Programs, CoRR, vol. cs.LO/0106, 2001.
D. Pedreschi, Ruggieri, S., and Smaus, J. - G., Classes of terminating logic programs, TPLP, vol. 2, pp. 369-418, 2002.
L. Gabrielli, Furletti, B., Trasarti, R., Giannotti, F., and Pedreschi, D., City users’ classification with mobile phone data, in IEEE Big Data, Santa Clara (CA) - USA, 2015.
D. Pedreschi, Ruggieri, S., and Smaus, J. - G., Characterisations of Termination in Logic Programming, in Program Development in Computational Logic, 2004, pp. 376-431.
A. Basu, Corena, J. C., Monreale, A., Pedreschi, D., Giannotti, F., Kiyomoto, S., Vaidya, J., and Miyake, Y., CF-inspired Privacy-Preserving Prediction of Next Location in the Cloud, in Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on, 2014.
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.
D. Pedreschi and Ruggieri, S., A Case Study in Logic Program Verification: the Vanilla Metainterpreter, in GULP-PRODE, 1995, pp. 643-654.
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B. Dong, Wang, H. Wendy, Monreale, A., Pedreschi, D., Giannotti, F., and Guo, W., Authenticated Outlier Mining for Outsourced Databases, IEEE Transactions on Dependable and Secure Computing, 2017.
R. Guidotti, Rossetti, G., and Pedreschi, D., Audio Ergo Sum, in Federation of International Conferences on Software Technologies: Applications and Foundations, 2016.
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.
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.
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.
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.
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.
P. Mancarella, Pedreschi, D., Rondinelli, M., and Tagliatti, M., Algebraic Properties of a Class of Logic Programs, in NACLP, 1990, pp. 23-39.

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