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M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., “Multidimensional networks: foundations of structural analysis”, World Wide Web, vol. Volume 15 / 2012, 2012.
M. Berlingerio, Bonchi, F., Bringmann, B., and Gionis, A., “Mining Graph Evolution Rules”, in ECML/PKDD 2009, Bled, Slovenia, 2009, pp. 115-130.
M. Berlingerio, Coscia, M., and Giannotti, F., “Mining the Information Propagation in a Network”, in SEBD, 2009, pp. 333-340.
M. Berlingerio, Bonchi, F., Curcio, M., Giannotti, F., and Turini, F., “Mining Clinical, Immunological, and Genetic Data of Solid Organ Transplantation”, in Biomedical Data and Applications, 2009, pp. 211-236.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., “Evolving networks: Eras and turning points”, Intell. Data Anal., vol. 17, pp. 27–48, 2013.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., “Towards Discovery of Eras in Social Networks”, in M3SN 2010 Workshop, in conjunction with ICDE2010, 2010.
M. Berlingerio, Bonchi, F., Chelazzi, S., Curcio, M., Giannotti, F., and Scatena, F., “Mining HLA Patterns Explaining Liver Diseases”, in CBMS, 2006, pp. 702-707.
M. Berlingerio, Bonchi, F., and Giannotti, F., “Towards Constraint-Based Subgraph Mining”, in SEBD, 2007, pp. 274-281.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., “Foundations of Multidimensional Network Analysis”, in ASONAM, 2011, pp. 485-489.
M. Berlingerio, Coscia, M., and Giannotti, F., “Finding and Characterizing Communities in Multidimensional Networks”, in ASONAM, 2011, pp. 490-494.
M. Berlingerio, Bonchi, F., Giannotti, F., and Turini, F., “Time-Annotated Sequences for Medical Data Mining”, in ICDM Workshops, 2007, pp. 133-138.
M. Berlingerio, Coscia, M., and Giannotti, F., “Finding redundant and complementary communities in multidimensional networks”, in CIKM, 2011, pp. 2181-2184.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., “The pursuit of hubbiness: Analysis of hubs in large multidimensional networks”, J. Comput. Science, vol. 2, pp. 223-237, 2011.
M. Berlingerio, Bonchi, F., Giannotti, F., and Turini, F., “Mining Clinical Data with a Temporal Dimension: A Case Study”, in BIBM, 2007, pp. 429-436.
M. Berlingerio, Giannotti, F., Nanni, M., and Pinelli, F., “Temporal analysis of process logs: a case study”, in SEBD, 2008, pp. 430-437.
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.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., “Discovering Eras in Evolving Social Networks (Extended Abstract)”, in SEBD, 2010, pp. 78-85.
C. Bertazzoni and Giannotti, F., “RASP: A Resource Allocator for Software Projects”, in IEA/AIE (Vol. 2), 1990, pp. 628-637.
B. Bertolino, Mancarella, P., Meo, L., Nini, L., Pedreschi, D., and Turini, F., “A Progress Report on the LML Project”, in FGCS, 1988, pp. 675-684.
B. Bertolino, Meo, L., Pedreschi, D., and Turini, F., The Type System of LML. 1992, pp. 313-332.
C. Bessiere, De Raedt, L., Kotthoff, L., Nijssen, S., O'Sullivan, B., and Pedreschi, D., “Data Mining and Constraint Programming - Foundations of a Cross-Disciplinary Approach.”. 2016.
C. Bessiere, De Raedt, L., Guns, T., Kotthoff, L., Nanni, M., Nijssen, S., O'Sullivan, B., Paparrizou, A., Pedreschi, D., and Simonis, H., “The Inductive Constraint Programming Loop”, IEEE Intelligent Systems, 2017.
G. Betti, Mulas, A., Natilli, M., Neri, L., and Verma, V., “Comparative indicators of regional poverty and deprivation: Poland versus EU-15 Member States”, in conference Comparative Economic Analysis of Households‟ Behaviour (CEAHB): Old and New EU Members, Warsaw University, 2005.
F. Bodria, Panisson, A., Perotti, A., and Piaggesi, S., “Explainability Methods for Natural Language Processing: Applications to Sentiment Analysis.”, in SEBD, 2020.
F. Bodria, Rinzivillo, S., Fadda, D., Guidotti, R., Giannotti, F., and Pedreschi, D., “Explaining Black Box with visual exploration of Latent Space”, EuroVis–Short Papers, 2022.

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