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F. Bonchi, Giannotti, F., Manco, G., Renso, C., Nanni, M., Pedreschi, D., and Ruggieri, S., “Data Mining for Intelligent Web Caching”, in ITCC, 2001, pp. 599-603.
F. Bonchi, Giannotti, F., and Pedreschi, D., “Frequent Pattern Queries for Flexible Knowledge Discovery”, in SEBD, 2004, pp. 250-261.
F. Bonchi and Giannotti, F., “Pushing Constraints to Detect Local Patterns”, in Local Pattern Detection, 2004, pp. 1-19.
F. Bonchi, Giannotti, F., and Pedreschi, D., “A Relational Query Primitive for Constraint-Based Pattern Mining”, in Constraint-Based Mining and Inductive Databases, 2004, pp. 14-37.
F. Bonchi, Giannotti, F., Lucchese, C., Orlando, S., Perego, R., and Trasarti, R., “A constraint-based querying system for exploratory pattern discovery”, Inf. Syst., vol. 34, pp. 3-27, 2009.
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.
F. Bonchi, Giannotti, F., Mazzanti, A., and Pedreschi, D., “Efficient breadth-first mining of frequent pattern with monotone constraints”, Knowl. Inf. Syst., vol. 8, pp. 131-153, 2005.
F. Bonchi, Giannotti, F., Manco, G., Renso, C., Nanni, M., Pedreschi, D., and Ruggieri, S., “Data Mining for Intelligent Web Caching”, in ITCC, 2001, pp. 599-603.
F. Bonchi, Giannotti, F., Mazzanti, A., and Pedreschi, D., “ExAMiner: Optimized Level-wise Frequent Pattern Mining with Monotone Constraint”, in ICDM, 2003, pp. 11-18.
F. Bonchi, Giannotti, F., Gozzi, C., Manco, G., Nanni, M., Pedreschi, D., Renso, C., and Ruggieri, S., “Web log data warehousing and mining for intelligent web caching”, Data Knowl. Eng., vol. 39, pp. 165-189, 2001.
F. Bonchi, Giannotti, F., Mazzanti, A., and Pedreschi, D., “Exante: A Preprocessing Method for Frequent-Pattern Mining”, IEEE Intelligent Systems, vol. 20, pp. 25-31, 2005.
P. Bonato, Cintia, P., Fabbri, F., Fadda, D., Giannotti, F., Lopalco, P. Luigi, Mazzilli, S., Nanni, M., Pappalardo, L., Pedreschi, D., Penone, F., Rinzivillo, S., Rossetti, G., Savarese, M., and Tavoschi, L., “Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown”. 2020.
V. Bogorny, Renso, C., de Aquino, A. R., de Siqueira, F. L., and Alvares, L. O., “CONSTAnT - A Conceptual Data Model for Semantic Trajectories of Moving Objects ”, Transaction in GIS, 2013.
K. S. Boeg, Ira Assent,, and Magnani, M., “Efficient GPU-based skyline computation”, in DAMON@SIGMOD 2013, 2013.
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.
F. Bodria, Giannotti, F., Guidotti, R., Naretto, F., Pedreschi, D., and Rinzivillo, S., “Benchmarking and Survey of Explanation Methods for Black Box Models”, CoRR, vol. abs/2102.13076, 2021.
F. Bodria, Panisson, A., Perotti, A., and Piaggesi, S., “Explainability Methods for Natural Language Processing: Applications to Sentiment Analysis.”, in SEBD, 2020.
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.
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.
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.
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. Bertazzoni and Giannotti, F., “RASP: A Resource Allocator for Software Projects”, in IEA/AIE (Vol. 2), 1990, pp. 628-637.
M. Berlingerio, Pinelli, F., Nanni, M., and Giannotti, F., “Temporal mining for interactive workflow data analysis”, in KDD, 2009, pp. 109-118.
M. Berlingerio, Bonchi, F., Giannotti, F., and Turini, F., “Time-Annotated Sequences for Medical Data Mining”, in ICDM Workshops, 2007, pp. 133-138.

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