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Journal Article
D. Marbach, Costello, J. C., Küffner, R., Vega, N. M., Prill, R. J., Camacho, D. M., Allison, K. R., Kellis, M., Collins, J. J., and Stolovitzky, G., “Wisdom of crowds for robust gene network inference.”, Nat Methods, vol. 9, pp. 796-804, 2012.
D. Marbach, Costello, J. C., Küffner, R., Vega, N. M., Prill, R. J., Camacho, D. M., Allison, K. R., Kellis, M., Collins, J. J., Aderhold, A., Stolovitzky, G., Bonneau, R., Chen, Y., Cordero, F., Crane, M., Dondelinger, F., Drton, M., Esposito, R., Foygel, R., De La Fuente, A., Gertheiss, J., Geurts, P., Greenfield, A., Grzegorczyk, M., Haury, A. - C., Holmes, B., Hothorn, T., Husmeier, D., Huynh-Thu, V. A., Irrthum, A., Karlebach, G., Lebre, S., De Leo, V., Madar, A., Mani, S., Mordelet, F., Ostrer, H., Ouyang, Z., Pandya, R., Petri, T., Pinna, A., Poultney, C. S., Rezny, S., Ruskin, H. J., Saeys, Y., Shamir, R., Sirbu, A., Song, M., Soranzo, N., Statnikov, A., Vega, N. M., Vera-Licona, P., Vert, J. - P., Visconti, A., Wang, H., Wehenkel, L., Windhager, L., Zhang, Y., and Zimmer, R., “Wisdom of crowds for robust gene network inference”, Nature Methods, vol. 9, pp. 796-804, 2012.
M. Francesca Romano and Natilli, M., “Wine tourism in Italy: New profiles, styles of consumption, ways of touring”, Turizam: međunarodni znanstveno-stručni časopis, vol. 57, pp. 463–475, 2009.
M. Francesca Romano and Natilli, M., “Wine and Food Tourism First European Conference”, Edizioni ETS Pisa, 2012.
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, 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., 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.
D. Pedreschi and Ruggieri, S., “Weakest Preconditions for Pure Prolog Programs”, Inf. Process. Lett., vol. 67, pp. 145-150, 1998.
Conference Proceedings
A. Monreale, Pinelli, F., Trasarti, R., and Giannotti, F., “WhereNext: a Location Predictor on Trajectory Pattern Mining”, 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2009.
Conference Paper
S. Rinzivillo and Ruggieri, S., “Who/Where Are My New Customers?”, in ISMIS Industrial Session, 2011, pp. 307-317.
I. Brilhante, Nardini, F. M., Perego, R., Renso, C., and de Macêdo, J. A. F., “Where Shall We Go Today? Planning Touristic Tours with TripBuilder”, in International Conference CIKM 2013, San Francisco, USA, 2013.
S. Rinzivillo, de Siqueira, F. L., Gabrielli, L., Renso, C., and Bogorny, V., “Where Have You Been Today? Annotating Trajectories with DayTag”, in International Conference on Spatial and Spatio-temporal Databases (SSTD), 2013, pp. 467-471.
F. Giannotti, Nanni, M., Pedreschi, D., and Samaritani, F., “WebCat: Automatic Categorization of Web Search Results”, in SEBD, 2003, pp. 507-518.
M. Ferretti, Barlacchi, G., Pappalardo, L., Lucchini, L., and Lepri, B., “Weak nodes detection in urban transport systems: Planning for resilience in Singapore”, in 2018 IEEE 5th international conference on data science and advanced analytics (DSAA), 2018.
A. Chiarelli, Mazzotta, V., and Renso, C., “A WAM Estesa per la Composizione di Programi Logici”, in GULP, 1993, pp. 189-202.
Book Chapter
C. Renso, Puntoni, S., Frentzos, E., Mazzoni, A., Moelans, B., Pelekis, N., and Pini, F., “Wireless Network Data Sources: Tracking and Synthesizing Trajectories”, in Mobility, Data Mining and Privacy, 2008, pp. 73-100.
R. Guidotti and Berlingerio, M., “Where Is My Next Friend? Recommending Enjoyable Profiles in Location Based Services”, in Complex Networks VII, Springer International Publishing, 2016, pp. 65–78.
F. Turini and Furletti, B., “What else can be extracted from ontologies? Influence Rules”, in Software and Data Technologies, Springer, 2012.