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D. Pedreschi and Zaniolo, C., Logic in Databases, International Workshop LID'96, San Miniato, Italy, July 1-2, 1996, Proceedings, Lecture Notes in Computer Science, vol. 1154. Springer, 1996.
D. Pedreschi and Ruggieri, S., Verification of Meta-Interpreters, J. Log. Comput., vol. 7, pp. 267-303, 1997.
D. Pedreschi and Subrahmanian, V. S., Non-determinism in Deductive Databases - Preface, Ann. Math. Artif. Intell., vol. 19, pp. 1-2, 1997.
D. Pedreschi, Giannotti, F., Guidotti, R., Monreale, A., Ruggieri, S., and Turini, F., Meaningful explanations of Black Box AI decision systems, in Proceedings of the AAAI Conference on Artificial Intelligence, 2019.
D. Pedreschi and Ruggieri, S., Weakest Preconditions for Pure Prolog Programs, Inf. Process. Lett., vol. 67, pp. 145-150, 1998.
D. Pedreschi and Ruggieri, S., Verification of Logic Programs, J. Log. Program., vol. 39, pp. 125-176, 1999.
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 Smaus, J. - G., Classes of Terminating Logic Programs, CoRR, vol. cs.LO/0106, 2001.
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.
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, TPLP, vol. 2, pp. 369-418, 2002.
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, 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.
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.
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, 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, 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, Rossetti, G., and Pedreschi, D., "How Well Do We Know Each Other?" Detecting Tie Strength in Multidimensional Social Networks, in International Conference on Advances in Social Networks Analysis and Mining, {ASONAM} 2012, Istanbul, Turkey, 26-29 August 2012, 2012.
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, 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.
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 and Cintia, P., Quantifying the relation between performance and success in soccer, Advances in Complex Systems, p. 1750014, 2017.
L. Pappalardo and Simini, F., Data-driven generation of spatio-temporal routines in human mobility, Data Mining and Knowledge Discovery, 2017.

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