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C
P. Cintia, Trasarti, R., de Macêdo, J. Antônio F., Almada, L., and Fereira, C., “A Gravity Model for Speed Estimation over Road Network”, in 2013 {IEEE} 14th International Conference on Mobile Data Management, Milan, Italy, June 3-6, 2013 - Volume 2, 2013.
P. Cintia, Pappalardo, L., and Pedreschi, D., “Mining efficient training patterns of non-professional cyclists”, in 22nd Italian Symposium on Advanced Database Systems, {SEBD} 2014, Sorrento Coast, Italy, June 16-18, 2014., 2014.
P. Cintia, Fadda, D., Giannotti, F., Pappalardo, L., Rossetti, G., Pedreschi, D., Rinzivillo, S., Bonato, P., Fabbri, F., Penone, F., Savarese, M., Checchi, D., Chiaromonte, F., Vineis, P., Guzzetta, G., Riccardo, F., Marziano, V., Poletti, P., Trentini, F., Bella, A., Andrianou, X., Del Manso, M., Fabiani, M., Bellino, S., Boros, S., Urdiales, A. Mateo, Vescio, M. Fenicia, Brusaferro, S., Rezza, G., Pezzotti, P., Ajelli, M., and Merler, S., “The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy”, arXiv preprint arXiv:2006.03141, 2020.
P. Cintia, Pappalardo, L., and Pedreschi, D., “"Engine Matters": {A} First Large Scale Data Driven Study on Cyclists' Performance”, in 13th {IEEE} International Conference on Data Mining Workshops, {ICDM} Workshops, TX, USA, December 7-10, 2013, 2013.
P. Cintia, Pappalardo, L., Pedreschi, D., Giannotti, F., and Malvaldi, M., “The harsh rule of the goals: data-driven performance indicators for football teams”, IEEE International Conference on Data Science and Advanced Analytics. 2015.
A. Chiarelli, Mazzotta, V., and Renso, C., “A WAM Estesa per la Composizione di Programi Logici”, in GULP, 1993, pp. 189-202.
S. Ceri, Palpanas, T., Valle, E. Della, Pedreschi, D., Freytag, J. - C., and Trasarti, R., “Towards mega-modeling: a walk through data analysis experiences”, {SIGMOD} Record, vol. 42, pp. 19–27, 2013.
S. Ceri, Valle, E. Della, Pedreschi, D., and Trasarti, R., “Mega-modeling for Big Data Analytics”, in Conceptual Modeling - 31st International Conference {ER} 2012, Florence, Italy, October 15-18, 2012. Proceedings, 2012.
T. Ceccarelli, Centeno, D., Giannotti, F., Massolo, A., Parent, C., Raffaetà, A., Renso, C., Spaccapietra, S., and Turini, F., “An Application of Advanced Spatio-Temporal Formalisms to Behavioural Ecology”, 2008.
R. Cazabet and Rossetti, G., “Challenges in community discovery on temporal networks”, in Temporal Network Theory, Springer, 2019, pp. 181–197.
R. Cazabet, Boudebza, S., and Rossetti, G., “Evaluating community detection algorithms for progressively evolving graphs”, arXiv preprint arXiv:2007.08635, 2020.
M. E. Carboni, Giannotti, F., Foddai, V., and Pedreschi, D., “Declarative Reconstruction of Updates in Logic Databases: A Compilative Approach”, in SEBD, 1995, pp. 3-13.
M. E. Carboni, Foddai, V., Giannotti, F., and Pedreschi, D., “Declarative Reconstruction of Updates in Logic Databases: a Compilative Approach”, in GULP-PRODE, 1995, pp. 169-182.
M. E. Carboni, Deo, A. D., Giannotti, F., and Masserotti, M. V., “Ragionamento spazio-temporale con LDLT: primi esperimenti verso un sistema deduttivo per applicazioni geografiche”, in SEBD, 1996, pp. 73-90.
M. E. Carboni, Deo, A. D., Giannotti, F., and Masserotti, M. V., “Spatio-Temporal Reasoning with LDLT: First Steps Towards a Deductive System for Geographical Applications”, in DDLP, 1996, pp. 135-151.
L. Candela, Manghi, P., Giannotti, F., Grossi, V., and Trasarti, R., “HyWare: a HYbrid Workflow lAnguage for Research E-infrastructures”, D-Lib Magazine, vol. 23, 2017.
S. Caminiti, Cicali, C., Gravino, P., Loreto, V., Servedio, V. D. P., Sirbu, A., and Tria, F., “XTribe: a web-based social computation platform”, in Cloud and Green Computing (CGC), 2013 Third International Conference on, 2013.
G. Calogiuri, Johansen, P. Foss, Rossi, A., and Thurston, M., “Do “girls just wanna have fun”? Participation trends and motivational profiles of women in Norway’s ultimate mass participation ski event”, Frontiers in Psychology, vol. 10, p. 2548, 2019.
B
S. Bruestle, Pappalardo, L., and Guidotti, R., “Defining Geographic Markets from Probabilistic Clusters: A Machine Learning Algorithm Applied to Supermarket Scanner Data”, Available at SSRN 3452058, 2019.
A. Brogi, Mancarella, P., Pedreschi, D., and Turini, F., “Theory Construction in Computational Logic”, in ICLP Workshop on Construction of Logic Programs, 1991, pp. 241-250.
A. Brogi, Mancarella, P., Pedreschi, D., and Turini, F., “Meta for Modularising Logic Programming”, in META, 1992, pp. 105-119.
A. Brogi, Renso, C., and Turini, F., “Dynamic Composition of Parameterised Logic Modules”, Computer Languages, pp. 211–242, 1999.
A. Brogi, Mancarella, P., Pedreschi, D., and Turini, F., “Modular Logic Programming”, ACM Trans. Program. Lang. Syst., vol. 16, pp. 1361-1398, 1994.
A. Brogi, Renso, C., and Turini, F., “Dynamic composition of parameterised logic modules”, Comput. Lang., vol. 25, pp. 211-242, 1999.
A. Brogi, Chiarelli, A., Mancarella, P., Mazzotta, V., Pedreschi, D., Renso, C., and Turini, F., “Implementations of Program Composition Operations”, in PLILP, 1994, pp. 292-307.

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