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Book
P. Ayris, Berthou, J. - Y., Bruce, R., Lindstaedt, S., Monreale, A., Mons, B., Murayama, Y., Södergård, C., Tochtermann, K., and Wilkinson, R., Realising the European open science cloud. 2016.
Book Chapter
M. Atzmueller, Becker, M., Molino, A., Mueller, J., Peters, J., and Sirbu, A., “Applications for Environmental Sensing in EveryAware”, in Participatory Sensing, Opinions and Collective Awareness, Springer, 2017, pp. 135–155.
A. Sirbu, Crane, M., and Ruskin, H. J., “EGIA–Evolutionary Optimisation of Gene Regulatory Networks, an Integrative Approach”, in Complex Networks V, Springer International Publishing, 2014, pp. 217–229.
P. Gravino, Sirbu, A., Becker, M., Servedio, V. D. P., and Loreto, V., “Experimental Assessment of the Emergence of Awareness and Its Influence on Behavioral Changes: The Everyaware Lesson”, in Participatory Sensing, Opinions and Collective Awareness, Springer, 2017, pp. 337–362.
P. Gravino, Sirbu, A., Becker, M., Servedio, V. D. P., and Loreto, V., “Experimental Assessment of the Emergence of Awareness and Its Influence on Behavioral Changes: The Everyaware Lesson”, in Participatory Sensing, Opinions and Collective Awareness, Springer, 2017, pp. 337–362.
G. Amato, Candela, L., Castelli, D., Esuli, A., Falchi, F., Gennaro, C., Giannotti, F., Monreale, A., Nanni, M., Pagano, P., Pappalardo, L., Pedreschi, D., Pratesi, F., Rabitti, F., Rinzivillo, S., Rossetti, G., Ruggieri, S., Sebastiani, F., and Tesconi, M., “How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science”, in A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years, S. Flesca, Greco, S., Masciari, E., and Saccà, D., Eds. Cham: Springer International Publishing, 2018, pp. 287 - 306.
G. Amato, Candela, L., Castelli, D., Esuli, A., Falchi, F., Gennaro, C., Giannotti, F., Monreale, A., Nanni, M., Pagano, P., Pappalardo, L., Pedreschi, D., Pratesi, F., Rabitti, F., Rinzivillo, S., Rossetti, G., Ruggieri, S., Sebastiani, F., and Tesconi, M., “How Data Mining and Machine Learning Evolved from Relational Data Base to Data Science”, in A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years, S. Flesca, Greco, S., Masciari, E., and Saccà, D., Eds. Cham: Springer International Publishing, 2018, pp. 287 - 306.
V. D. P. Servedio, Caminiti, S., Gravino, P., Loreto, V., Sirbu, A., and Tria, F., “Large Scale Engagement Through Web-Gaming and Social Computations”, in Participatory Sensing, Opinions and Collective Awareness, Springer, 2017, pp. 237–254.
V. D. P. Servedio, Caminiti, S., Gravino, P., Loreto, V., Sirbu, A., and Tria, F., “Large Scale Engagement Through Web-Gaming and Social Computations”, in Participatory Sensing, Opinions and Collective Awareness, Springer, 2017, pp. 237–254.
A. Sirbu, Loreto, V., Servedio, V. D. P., and Tria, F., “Opinion dynamics: models, extensions and external effects”, in Participatory Sensing, Opinions and Collective Awareness, Springer, 2017, pp. 363–401.
A. Sirbu, Loreto, V., Servedio, V. D. P., and Tria, F., “Opinion dynamics: models, extensions and external effects”, in Participatory Sensing, Opinions and Collective Awareness, Springer, 2017, pp. 363–401.
D. Pedreschi, Bonchi, F., Turini, F., Verykios, V. S., Atzori, M., Malin, B., Moelans, B., and Saygin, Y., “Privacy Protection: Regulations and Technologies, Opportunities and Threats”, in Mobility, Data Mining and Privacy, 2008, pp. 101-119.
A. Sirbu, Ruskin, H. J., and Crane, M., “Stages of Gene Regulatory Network Inference: the Evolutionary Algorithm Role”, in Evolutionary Algorithms, InTech, 2011.
Conference Paper
T. Bellemans, Bothe, S., Cho, S., Giannotti, F., Janssens, D., Knapen, L., Körner, C., May, M., Nanni, M., Pedreschi, D., Stange, H., Trasarti, R., Yasar, A. - U. - H., and Wets, G., “An Agent-Based Model to Evaluate Carpooling at Large Manufacturing Plants”, in Proceedings of the 3rd International Conference on Ambient Systems, Networks and Technologies {(ANT} 2012), the 9th International Conference on Mobile Web Information Systems (MobiWIS-2012), Niagara Falls, Ontario, Canada, August 27-29, 2012, 2012.
M. Natilli, Fadda, D., Rinzivillo, S., Pedreschi, D., and Licari, F., “Analysis and Visualization of Performance Indicators in University Admission Tests”, in Formal Methods. FM 2019 International Workshops, Cham, 2020.
A. Balliu, Olivetti, D., Babaoglu, O., Marzolla, M., and Sirbu, A., “BiDAl: Big Data Analyzer for Cluster Traces”, in Informatika (BigSys workshop), 2014.
M. Baglioni, Masserotti, M. V., Renso, C., and Spinsanti, L., “Building Geospatial Ontologies from Geographical Databases”, in GeoS, 2007, pp. 195-209.
D. Pedreschi, Ruggieri, S., and Smaus, J. - G., “Characterisations of Termination in Logic Programming”, in Program Development in Computational Logic, 2004, pp. 376-431.
A. Zanda, Körner, C., Giannotti, F., Schulz, D., and May, M., “Clustering of German municipalities based on mobility characteristics: an overview of results”, in GIS, 2008, p. 69.
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.
B. Furletti, Gabrielli, L., Trasarti, R., Smoreda, Z., Vanhoof, M., and Ziemlicki, C., “Detecting and understanding big events in big cities”, in NetMob, Boston, 2015.
J. Kim, Sirbu, A., Giannotti, F., and Gabrielli, L., “Digital Footprints of International Migration on Twitter”, in International Symposium on Intelligent Data Analysis, 2020.
R. Guidotti, Soldani, J., Neri, D., and Brogi, A., “Explaining successful docker images using pattern mining analysis”, in Federation of International Conferences on Software Technologies: Applications and Foundations, 2018.
M. Setzu, Guidotti, R., Monreale, A., and Turini, F., “Global Explanations with Local Scoring”, in Machine Learning and Knowledge Discovery in Databases, Cham, 2020.
R. Guidotti, Soldani, J., Neri, D., Brogi, A., and Pedreschi, D., “Helping your docker images to spread based on explainable models”, in Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2018.

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