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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., and Pedreschi, D., Frequent Pattern Queries for Flexible Knowledge Discovery, in SEBD, 2004, pp. 250-261.
F. Bonchi, Giannotti, F., Mainetto, G., and Pedreschi, D., Una Metodologia Basata sulla Classificazione per la Pianificazione degli Accertamenti nel Rilevamento di Frodi, in SEBD, 1999, pp. 69-84.
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 and Knowledge Engineering, 2001.
F. Bonchi and Giannotti, F., Pushing Constraints to Detect Local Patterns, in Local Pattern Detection, 2004, pp. 1-19.
F. Bonchi, Giannotti, F., Mainetto, G., and Pedreschi, D., A Classification-Based Methodology for Planning Audit Strategies in Fraud Detection, in KDD, 1999, pp. 175-184.
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., Mainetto, G., and Pedreschi, D., Using Data Mining Techniques in Fiscal Fraud Detection, in DaWaK, 1999, pp. 369-376.
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, Coscia, M., and Giannotti, F., Mining the Temporal Dimension of the Information Propagation, in IDA, 2009, pp. 237-248.
M. Berlingerio, Coscia, M., and Giannotti, F., Mining the Information Propagation in a Network, in SEBD, 2009, pp. 333-340.
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., Evolving networks: Eras and turning points, Intell. Data Anal., vol. 17, pp. 27–48, 2013.

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