J.  Kim, Sirbu, A., Giannotti, F., and Gabrielli, L., ?Digital Footprints of International Migration on Twitter?, in International Symposium on Intelligent Data Analysis, 2020.

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.

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.

G.  Rossetti, Milli, L., Rinzivillo, S., Sirbu, A., Pedreschi, D., and Giannotti, F., ?NDlib: a python library to model and analyze diffusion processes over complex networks?, International Journal of Data Science and Analytics, vol. 5, pp. 61?79, 2018.

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.

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.

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.

G.  Rossetti, Milli, L., Rinzivillo, S., Sirbu, A., Pedreschi, D., and Giannotti, F., ?NDlib: a python library to model and analyze diffusion processes over complex networks?, International Journal of Data Science and Analytics, pp. 1?19, 2017.

G.  Rossetti, Milli, L., Rinzivillo, S., Sirbu, A., Pedreschi, D., and Giannotti, F., ?NDlib: Studying Network Diffusion Dynamics?, in IEEE International Conference on Data Science and Advanced Analytics, DSA, Tokyo, 2017.

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.

L.  Pollacci, Sirbu, A., Giannotti, F., Pedreschi, D., Lucchese, C., and Muntean, C. Ioana, ?Sentiment Spreading: An Epidemic Model for Lexicon-Based Sentiment Analysis on Twitter?, in Conference of the Italian Association for Artificial Intelligence, 2017.

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 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 and Babaoglu, O., ?Towards operator-less data centers through data-driven, predictive, proactive autonomics?, Cluster Computing, pp. 1?14, 2016.

P.  Gravino, Caminiti, S., Sirbu, A., Tria, F., Servedio, V. D. P., and Loreto, V., ?Unveiling Political Opinion Structures with a Web-experiment?, in Proceedings of the 1st International Conference on Complex Information Systems, 2016.

A.  Balliu, Olivetti, D., Babaoglu, O., Marzolla, M., and Sirbu, A., ?A Big Data Analyzer for Large Trace Logs?, Computing, 2015.

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.

P.  Contucci, Panizzi, E., Ricci-Tersenghi, F., and Sirbu, A., ?Egalitarianism in the rank aggregation problem: a new dimension for democracy?, Quality & Quantity, pp. 1?16, 2015.

A.  Sirbu and Babaoglu, O., ?A Holistic Approach to Log Data Analysis in High-Performance Computing Systems: The Case of IBM Blue Gene/Q?, in Euro-Par 2015: parallel Processing Workshops, LNCS 9523, 2015.

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 Data-Driven Autonomics in Data Centers?, in IEEE International Conference on Cloud and Autonomic Computing, 2015.

A.  Balliu, Olivetti, D., Babaoglu, O., Marzolla, M., and Sirbu, A., ?BiDAl: Big Data Analyzer for Cluster Traces?, in Informatika (BigSys workshop), 2014.

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.

M.  Becker, Caminiti, S., Fiorella, D., Francis, L., Gravino, P., Haklay, M. Muki, Hotho, A., Loreto, V., Mueller, J., Ricchiuti, F., Servedio, V. D. P., Sirbu, A., and Tria, F., ?Awareness and learning in participatory noise sensing.?, PLoS One, vol. 8, p. e81638, 2013.

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, Loreto, V., Servedio, V. D. P., and Tria, F., ?Opinion dynamics with disagreement and modulated information?, Journal of Statistical Physics, pp. 1?20, 2013.

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.

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, 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.

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.

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., ?Comparison of evolutionary algorithms in gene regulatory network model inference.?, BMC Bioinformatics, vol. 11, p. 59, 2010.

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., ?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.