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C
L. Pappalardo, Simini, F., Rinzivillo, S., Pedreschi, D., and Giannotti, F., “Comparing General Mobility and Mobility by Car”, in Computational Intelligence and 11th Brazilian Congress on Computational Intelligence (BRICS-CCI CBIC), 2013 BRICS Congress on, 2013.
A. Sirbu, Ruskin, H. J., and Crane, M., “Comparison of evolutionary algorithms in gene regulatory network model inference.”, BMC Bioinformatics, vol. 11, p. 59, 2010.
P. Mancarella, Martini, S., and Pedreschi, D., “Complete Logic Programs with Domain-Closure Axiom”, J. Log. Program., vol. 5, pp. 263-276, 1988.
S. Citraro and Rossetti, G., “A complex network approach to semantic spaces: How meaning organizes itself”, in SEBD, 2019.
F. Giannotti, Raffaetà, A., Renso, C., and Turini, F., “Complex Reasoning on Geographical Data”, in SEBD, 2001, pp. 331-338.
F. Giannotti, Raffaetà, A., Renso, C., and Turini, F., “Complex Reasoning on Geographical Data”, in SEBD, 2001, pp. 331-338.
S. Ruggieri, Eirinakis, P., Subramani, K., and Wojciechowski, P., “On the complexity of quantified linear systems”, Theoretical Computer Science, vol. 518, pp. 128–134, 2014.
G. Rossetti, Citraro, S., and Milli, L., “Conformity: A Path-Aware Homophily Measure for Node-Attributed Networks”, arXiv preprint arXiv:2012.05195, 2020.
G. Rossetti, Citraro, S., and Milli, L., “Conformity: a Path-Aware Homophily measure for Node-Attributed Networks”, IEEE Intelligent SystemsIEEE Intelligent Systems, pp. 1 - 1, 2021.
P. Resce, Vorwerk, L., Han, Z., Cornacchia, G., Alamdari, O. Isfahani, Nanni, M., Pappalardo, L., Weimer, D., and Liu, Y., “Connected Vehicle Simulation Framework for Parking Occupancy Prediction (Demo Paper)”, in Proceedings of the 30th International Conference on Advances in Geographic Information Systems, New York, NY, USA, 2022.
F. Bonchi, Giannotti, F., Lucchese, C., Orlando, S., Perego, R., and Trasarti, R., “ConQueSt: a Constraint-based Querying System for Exploratory Pattern Discovery”, in ICDE, 2006, p. 159.
G. Amato, Giannotti, F., and Mainetto, G., “Conservative Multigranularity Locking for an Obiect-Oriented Persistent Language via Abstract Interpretation”, in SEBD, 1994, pp. 329-349.
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.
P. Asirelli, Renso, C., and Turini, F., “The Constraint Operator of MedLan: Its Efficient Implementation and Use”, in IICIS, 1998, pp. 41-55.
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., “A constraint-based querying system for exploratory pattern discovery”, Inf. Syst., vol. 34, pp. 3-27, 2009.
A. Sirbu, Ruskin, H. J., and Crane, M., “Cross-platform microarray data normalisation for regulatory network inference.”, PLoS One, vol. 5, p. e13822, 2010.
A. Monreale, Trasarti, R., Pedreschi, D., Renso, C., and Bogorny, V., “C-safety: a framework for the anonymization of semantic trajectories”, Transactions on Data Privacy, vol. 4, pp. 73-101, 2011.
D
R. Ortale, Ritacco, E., Pelekisy, N., Trasarti, R., Costa, G., Giannotti, F., Manco, G., Renso, C., and Theodoridis, Y., “DAEDALUS: A knowledge discovery analysis framework for movement data”, in SEBD, 2008, pp. 191-198.
R. Ortale, Ritacco, E., Pelekis, N., Trasarti, R., Costa, G., Giannotti, F., Manco, G., Renso, C., and Theodoridis, Y., “The DAEDALUS framework: progressive querying and mining of movement data”, in GIS, 2008, p. 52.
R. Trasarti, Baglioni, M., and Renso, C., “DAMSEL: A System for Progressive Querying and Reasoning on Movement Data”, in DEXA Workshops, 2009, pp. 452-456.
S. Ruggieri, “Data Anonymity Meets Non-discrimination”, in Data Mining Workshops (ICDMW), 2013 IEEE 13th International Conference on, 2013.
A. Sirbu, Crane, M., and Ruskin, H. J., “Data Integration for Microarrays: Enhanced Inference for Gene Regulatory Networks”, Microarrays, vol. 4, pp. 255–269, 2015.
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.
V. Grossi, Pedreschi, D., and Turini, F., “Data Mining and Constraints: An Overview”, in Data Mining and Constraint Programming, Springer International Publishing, 2016, pp. 25–48.

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