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V. Arnaboldi, Dunbar, R. I. M., Passarella, A., and Conti, M., Analysis of Co-authorship Ego Networks, in Advances in Network Science: 12th International Conference and School, NetSci-X 2016, Wroclaw, Poland, January 11-13, 2016, Proceedings, vol. 9564, A. Wierzbicki, Brandes, U., Schweitzer, F., and Pedreschi, D., Eds. Cham: Springer International Publishing, 2016, pp. 82–96.
A. Sirbu and Babaoglu, O., Power Consumption Modeling and Prediction in a Hybrid CPU-GPU-MIC Supercomputer, in European Conference on Parallel Processing, Grenoble, France, 2016.
A. Sirbu and Babaoglu, O., Predicting System-level Power for a Hybrid Supercomputer, in Proceedings of the International Conference on High Performance Computing & Simulation (HPCS16), Innsbruck, Austria, 2016.
K. Garimella, Morales, G. De Francis, Gionis, A., and Mathioudakis, M., Quantifying Controversy in Social Media, in Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, New York, NY, USA, 2016.
R. Trasarti, Furletti, B., Gabrielli, L., Nanni, M., and Pedreschi, D., Big data analytics for smart mobility: a case study, in Proceedings of the Workshops of the {EDBT/ICDT} 2014 Joint Conference {(EDBT/ICDT} 2014), Athens, Greece, March 28, 2014., 2014, pp. 363–364.
D. Marcheggiani, Täckström, O., Esuli, A., and Sebastiani, F., Hierarchical Multi-label Conditional Random Fields for Aspect-Oriented Opinion Mining, in Advances in Information Retrieval, vol. 8416, M. de Rijke, Kenter, T., de Vries, A. P., Zhai, C. X., de Jong, F., Radinsky, K., and Hofmann, K., Eds. Springer International Publishing, 2014, pp. 273-285.
A. Basu, Monreale, A., Corena, J. C., Giannotti, F., Pedreschi, D., Kiyomoto, S., Miyake, Y., Yanagihara, T., and Trasarti, R., A Privacy Risk Model for Trajectory Data, in Trust Management VIII, vol. 430, J. Zhou, Gal-Oz, N., Zhang, J., and Gudes, E., Eds. Springer Berlin Heidelberg, 2014, pp. 125-140.
P. Cintia and Pappalardo, L., “Taca la bala” says the wizard: a trip into the World Cup 2014, 2014. [Online]. Available: http://bigdatatales.com/2014/07/12/taca-la-bala-says-the-wizard-a-trip-into-the-world-cup-2014/.
M. Nanni, Trasarti, R., Furletti, B., Gabrielli, L., Van Der Mede, P., De Bruijn, J., De Romph, E., and Bruil, G., Transportation Planning Based on GSM Traces: A Case Study on Ivory Coast, in Citizen in Sensor Networks, Springer International Publishing, 2014, pp. 15–25.
C. Lucchese, Orlando, S., Perego, R., Silvestri, F., and Tolomei, G., Discovering tasks from search engine query logs, ACM Trans. Inf. Syst., vol. 31, pp. 14:1–14:43, 2013.
N. Tonellotto, Macdonald, C., and Ounis, I., Efficient and effective retrieval using selective pruning, in Proceedings of the sixth ACM international conference on Web search and data mining, New York, NY, USA, 2013.
V. Arnaboldi, Conti, M., Passarella, A., and Pezzoni, F., Ego Networks in Twitter: an Experimental Analysis, 2013.
V. Arnaboldi, Guazzini, A., and Passarella, A., Egocentric online social networks: Analysis of key features and prediction of tie strength in Facebook, Computer Communications, vol. 36, pp. 1130-1144, 2013.
G. Berardi, Esuli, A., Sebastiani, F., and Silvestri, F., Endorsements and Rebuttals in Blog Distillation, Information Sciences, 2013.
M. Berlingerio, Coscia, M., Giannotti, F., Monreale, A., and Pedreschi, D., Evolving networks: Eras and turning points, Intell. Data Anal., vol. 17, pp. 27-48, 2013.
A. Freire, Macdonald, C., Tonellotto, N., Ounis, I., and Cacheda, F., Hybrid query scheduling for a replicated search engine, in Proceedings of the 35th European conference on Advances in Information Retrieval, Berlin, Heidelberg, 2013.
D. Ceccarelli, Lucchese, C., Orlando, S., Perego, R., and Trani, S., Learning relatedness measures for entity linking, in ACM CIKM ’13, 2013.
D. Broccolo, Macdonald, C., Ounis, I., Orlando, S., Perego, R., Silvestri, F., and Tonellotto, N., Load-Sensitive Selective Pruning for Distributed Search, in ACM CIKM '13, 2013.