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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.
A. Sirbu and Babaoglu, O., “Power Consumption Modeling and Prediction in a Hybrid CPU-GPU-MIC Supercomputer”, 22nd International European Conference on Parallel and Distributed Computing, Euro-Par 2016, vol. LNCS 9833. Springer LNCS, Grenoble, France, 2016.
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.
A. Sirbu, Loreto, V., Servedio, V. D. P., and Tria, F., “Cohesion, consensus and extreme information in opinion dynamics”, Advances in Complex Systems, vol. 16, p. 1350035, 2013.
A. Sirbu, Ruskin, H. J., and Crane, M., “Stages of Gene Regulatory Network Inference: the Evolutionary Algorithm Role”, in Evolutionary Algorithms, InTech, 2011.
A. Sirbu, Ruskin, H. J., and Crane, M., “Regulatory network modelling: Correlation for structure and parameter optimisation”, Proceedings of The IASTED Technology Conferences (International Conference on Computational Bioscience), Cambridge, Massachusetts, pp. 3473–3481, 2010.
A. Sirbu and Babaoglu, O., “Towards operator-less data centers through data-driven, predictive, proactive autonomics”, Cluster Computing, pp. 1–14, 2016.
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 and Babaoglu, O., “Predicting System-level Power for a Hybrid Supercomputer”, in 2016 International Conference on High Performance Computing Simulation (HPCS), Innsbruck, Austria, 2016.
A. Sirbu, Loreto, V., Servedio, V. D. P., and Tria, F., “Opinion dynamics with disagreement and modulated information”, Journal of Statistical Physics, pp. 1–20, 2013.
A. Sirbu, Pedreschi, D., Giannotti, F., and Kertész, J., “Algorithmic bias amplifies opinion fragmentation and polarization: A bounded confidence model”, PloS one, vol. 14, p. e0213246, 2019.
A. Sirbu, Giannotti, F., Pedreschi, D., and Kertész, J., “Public opinion and Algorithmic bias”, ERCIM News, 2019.
A. Sirbu, Andrienko, G., Andrienko, N., Boldrini, C., Conti, M., Giannotti, F., Guidotti, R., Bertoli, S., Kim, J., Muntean, C. Ioana, Pappalardo, L., Passarella, A., Pedreschi, D., Pollacci, L., Pratesi, F., and Sharma, R., “Human migration: the big data perspective”, International Journal of Data Science and Analytics, pp. 1–20, 2020.
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C. Toccaceli, Milli, L., and Rossetti, G., “Opinion Dynamic Modeling of Fake News Perception”, in International Conference on Complex Networks and Their Applications, 2020.
G. Tomei and Natilli, M., Dinamiche di impoverimento. Meccanismi, traiettorie ed effetti in un contesto locale. Carocci Editore, 2011.
G. Tomei and Natilli, M., “Poverty as a Social Condition: a Case Study on a Small Municipality in Tuscany”, in Global Recession: Regional Impacts on Housing, Jobs, Health and Wellbeing, 2009.
G. Tomei, Paletti, F., and Natilli, M., “Stiramenti identitari. Strategie di integrazione degli strannieri nella provincia di Massa Carrara tra appartenenza etnica ed esperienza transnazionale”, 2011.
R. Trasarti, Bonchi, F., and Goethals, B., “A new technique for sequential pattern mining under regular expressions”, in SEBD, 2009, pp. 325-332.
R. Trasarti, Grossi, V., Natilli, M., and Rapisarda, B., “SoBigData++: European Integrated Infrastructure for Social Mining and Big Data Analytics.”, 30th Italian Symposium on Advanced Database Systems (SEBD – Sistemi Evoluti per Basi di Dati). Tirrenia, Pisa, 2022.
R. Trasarti, Pinelli, F., Nanni, M., and Giannotti, F., “Mining mobility user profiles for car pooling”, in KDD, 2011, pp. 1190-1198.
R. Trasarti, Guidotti, R., Monreale, A., and Giannotti, F., “MyWay: Location prediction via mobility profiling”, Information Systems, vol. 64, pp. 350–367, 2017.
R. Trasarti, Giannotti, F., Nanni, M., Pedreschi, D., and Renso, C., “A Query Language for Mobility Data Mining”, IJDWM, vol. 7, pp. 24-45, 2011.
R. Trasarti, Olteanu-Raimond, A. - M., Nanni, M., Couronné, T., Furletti, B., Giannotti, F., Smoreda, Z., and Ziemlicki, C., “Discovering urban and country dynamics from mobile phone data with spatial correlation patterns”, Telecommunications Policy, p. -, 2014.
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.
R. Trasarti, Rinzivillo, S., Pinelli, F., Nanni, M., Monreale, A., Renso, C., Pedreschi, D., and Giannotti, F., “Exploring Real Mobility Data with M-Atlas”, in ECML/PKDD (3), 2010, pp. 624-627.

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