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D. Pedreschi and Ruggieri, S., On Logic Programs That Do Not Fail, Electr. Notes Theor. Comput. Sci., vol. 30, 1999.
D. Pedreschi and Ruggieri, S., Bounded Nondeterminism of Logic Programs, in ICLP, 1999, pp. 350-364.
D. Pedreschi, Ruggieri, S., and Turini, F., Integrating induction and deduction for finding evidence of discrimination, in ICAIL, 2009, pp. 157-166.
D. Pedreschi, Ruggieri, S., and Turini, F., Measuring Discrimination in Socially-Sensitive Decision Records, in SDM, 2009, pp. 581-592.
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.
D. Pedreschi, Ruggieri, S., and Turini, F., Discrimination-aware data mining, in KDD, 2008, pp. 560-568.
D. Pedreschi and Ruggieri, S., On logic programs that always succeed, Sci. Comput. Program., vol. 48, pp. 163-196, 2003.
D. Pedreschi and Ruggieri, S., Bounded Nondeterminism of Logic Programs, Ann. Math. Artif. Intell., vol. 42, pp. 313-343, 2004.
D. Pedreschi, Bonchi, F., Turini, F., Verykios, V. S., Atzori, M., Malin, B., Moelans, B., and Saygin, Y., Privacy Protection: Regulations and Technologies, Opportunities and Threats, in Mobility, Data Mining and Privacy, 2008, pp. 101-119.
D. Pedreschi, Ruggieri, S., and Smaus, J. - G., Characterisations of Termination in Logic Programming, in Program Development in Computational Logic, 2004, pp. 376-431.
D. Pedreschi, Giannotti, F., Guidotti, R., Monreale, A., Pappalardo, L., Ruggieri, S., and Turini, F., Open the Black Box Data-Driven Explanation of Black Box Decision Systems, 2018.
D. Pedreschi, A Proof Method for Runtime Properties of Prolog Programs, in ICLP, 1994, pp. 584-598.
P. Pavone, Natilli, M., and Romano, M. Francesca, The language of tourists in a wine and food blog, in First European Conference on Wine and Food Tourism, 2011.
L. Passaro, Lebani, G. E., Pollacci, L., Chersoni, E., and Lenci, A., The CoLing Lab system for Sentiment Polarity Classification of tweets, First Italian Conference on Computational Linguistics CLiC-it 2014 & Fourth International Workshop EVALITA 2014, vol. II, 2 vol. 2014.
L. Passaro, Pollacci, L., and Lenci, A., ItEM: A Vector Space Model to Bootstrap an Italian Emotive Lexicon, Second Italian Conference on Computational Linguistics CLiC-it 2015, vol. II, 2 vol. 2015.
C. Parent, Spaccapietra, S., Renso, C., Andrienko, G., Andrienko, N., Bogorny, V., Damiani M L,, Gkoulalas-Divanis A,, de Macêdo, J. A. F., and Pelekis, N., Semantic Trajectories Modeling and Analysis, ACM Computing Surveys, vol. 45, 2013.
L. Pappalardo, Cintia, P., Ferragina, P., Massucco, E., Pedreschi, D., and Giannotti, F., PlayeRank: data-driven performance evaluation and player ranking in soccer via a machine learning approach, ACM Transactions on Intelligent Systems and Technology (TIST), vol. 10, pp. 1–27, 2019.
L. Pappalardo, Simini, F., Rinzivillo, S., Pedreschi, D., Giannotti, F., and Barabasi, A. - L., Returners and explorers dichotomy in human mobility, Nat Commun, vol. 6, 2015.
L. Pappalardo, Cintia, P., Rossi, A., Massucco, E., Ferragina, P., Pedreschi, D., and Giannotti, F., A public data set of spatio-temporal match events in soccer competitions, Scientific data, vol. 6, pp. 1–15, 2019.
L. Pappalardo, Simini, F., Rinzivillo, S., Pedreschi, D., and Giannotti, F., Comparing General Mobility and Mobility by Car, in Computational Intelligence and 11th Brazilian Congress on Computational Intelligence (BRICS-CCI CBIC), 2013 BRICS Congress on, 2013.
L. Pappalardo, Grossi, V., and Pedreschi, D., Introduction to the special issue on social mining and big data ecosystem for open, responsible data science, 2021.
L. Pappalardo, Rinzivillo, S., Qu, Z., Pedreschi, D., and Giannotti, F., {Understanding the patterns of car travel}, The European Physical Journal Special Topics, vol. 215, pp. 61–73, 2013.
L. Pappalardo, Rossi, A., Natilli, M., and Cintia, P., Explaining the difference between men’s and women’s football, PLOS ONE, vol. 16, p. e0255407, 2021.
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.

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