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L. Milli, Rossetti, G., Pedreschi, D., and Giannotti, F., Information diffusion in complex networks: The active/passive conundrum, in International Workshop on Complex Networks and their Applications, 2017.
S. Hajian, Monreale, A., Pedreschi, D., Domingo-Ferrer, J., and Giannotti, F., Injecting Discrimination and Privacy Awareness Into Pattern Discovery, in 12th {IEEE} International Conference on Data Mining Workshops, {ICDM} Workshops, Brussels, Belgium, December 10, 2012, 2012, pp. 360–369.
A. Sirbu, Ruskin, H. J., and Crane, M., Integrating heterogeneous gene expression data for gene regulatory network modelling., Theory Biosci, vol. 131, pp. 95-102, 2012.
D. Pedreschi, Ruggieri, S., and Turini, F., Integrating induction and deduction for finding evidence of discrimination, in ICAIL, 2009, pp. 157-166.
P. Mancarella, Raffaetà, A., Renso, C., and Turini, F., Integrating knowledge representation and reasoning in Geographical Information Systems, International Journal of Geographical Information Science, vol. 18, pp. 417-447, 2004.
P. Mancarella, Raffaetà, A., Renso, C., and Turini, F., Integrating Knowledge Representation and Reasoning in Geographical, 2004.
F. Giannotti, Manco, G., Nanni, M., Pedreschi, D., and Turini, F., Integration of Deduction and Induction for Mining Supermarket Sales Data, in SEBD, 1999, pp. 117-131.
R. Barbuti, Mancarella, P., Pedreschi, D., and Turini, F., Intensional Negation of Logic Programs: Examples and Implementation Techniques, in TAPSOFT, Vol.2, 1987, pp. 96-110.
G. Rossetti, Guidotti, R., Pennacchioli, D., Pedreschi, D., and Giannotti, F., Interaction Prediction in Dynamic Networks exploiting Community Discovery, in International conference on Advances in Social Network Analysis and Mining, ASONAM 2015, Paris, France, 2015.
F. Bonchi, Giannotti, F., Lucchese, C., Orlando, S., Perego, R., and Trasarti, R., On Interactive Pattern Mining from Relational Databases, in KDID, 2006, pp. 42-62.
C. Lucchese, Bonchi, F., Giannotti, F., Orlando, S., Perego, R., and Trasarti, R., On Interactive Pattern Mining from Relational Databases, in SEBD, 2006, pp. 329-338.
S. Mascetti, Ricci, A., and Ruggieri, S., Introduction to special issue on computational methods for enforcing privacy and fairness in the knowledge society, Artificial Intelligence and Law, vol. 22, pp. 109–111, 2014.
S. Ruggieri, Introduction to the special issue on Artificial Intelligence for Society and Economy, Intelligenza Artificiale, vol. 9, pp. 23–23, 2015.
R. Guidotti, Monreale, A., and Cariaggi, L., Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers, in Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2019.
V. M. de Lira, Rinzivillo, S., Renso, C., Times, V. C., and Tedesco, P. {\'ı}ciaC. A. R., Investigating semantic regularity of human mobility lifestyle, in 18th International Database Engineering {&} Applications Symposium, {IDEAS} 2014, Porto, Portugal, July 7-9, 2014, Porto, Portugal, 2014, pp. 314–317.
F. Giannotti, Invited talk: Logical Data Mining Query Languages, in KDID, 2002, p. 1.
C. Alfonsi, Scarabottolo, N., Pedreschi, D., and Simi, M., IT4PS: information technology for problem solving, in ITiCSE, 2004, p. 241.
L. Pollacci, Guidotti, R., Rossetti, G., Giannotti, F., and Pedreschi, D., The italian music superdiversity, Multimedia Tools and Applications, pp. 1–23, 2018.
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.

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