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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, 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, Becker, M., Caminiti, S., De Baets, B., Elen, B., Francis, L., Gravino, P., Hotho, A., Ingarra, S., Loreto, V., Molino, A., Mueller, J., Peters, J., Ricchiuti, F., Saracino, F., Servedio, V. D. P., Stumme, G., Theunis, J., Tria, F., and Van den Bossche, J., “Participatory Patterns in an International Air Quality Monitoring Initiative.”, PLoS One, vol. 10, p. e0136763, 2015.
A. Sirbu and Babaoglu, O., “Towards operator-less data centers through data-driven, predictive, proactive autonomics”, Cluster Computing, pp. 1–14, 2016.
A. Sirbu, Kerr, G., Crane, M., and Ruskin, H. J., “RNA-Seq vs dual- and single-channel microarray data: sensitivity analysis for differential expression and clustering.”, PLoS One, vol. 7, p. e50986, 2012.
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, Ruskin, H. J., and Crane, M., “Integrating heterogeneous gene expression data for gene regulatory network modelling.”, Theory Biosci, vol. 131, pp. 95-102, 2012.
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. Sirbu, Ruskin, H. J., and Crane, M., “Comparison of evolutionary algorithms in gene regulatory network model inference.”, BMC Bioinformatics, vol. 11, p. 59, 2010.
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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, Paletti, F., and Natilli, M., “Stiramenti identitari. Strategie di integrazione degli strannieri nella provincia di Massa Carrara tra appartenenza etnica ed esperienza transnazionale”, 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.
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, Pinelli, F., Nanni, M., and Giannotti, F., “Individual Mobility Profiles: Methods and Application on Vehicle Sharing”, in Twentieth Italian Symposium on Advanced Database Systems, {SEBD} 2012, Venice, Italy, June 24-27, 2012, Proceedings, 2012.
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, 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, Guidotti, R., Monreale, A., and Giannotti, F., “MyWay: Location prediction via mobility profiling”, Information Systems, vol. 64, pp. 350–367, 2017.
R. Trasarti, Pinelli, F., Nanni, M., and Giannotti, F., “Mining mobility user profiles for car pooling”, in KDD, 2011, pp. 1190-1198.
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, 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.
F. Turini, Baglioni, M., Furletti, B., and Rinzivillo, S., “Examples of Integration of Induction and Deduction in Knowledge Discovery”, in Reasoning, Action and Interaction in AI Theories and Systems, 2006, pp. 307-326.
F. Turini, Baglioni, M., Furletti, B., and Rinzivillo, S., “Examples of Integration of Induction and Deduction in Knowledge Discovery”, in Reasoning, Action and Interaction in AI Theories and Systems, vol. 4155, 2006, pp. 307-326.

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