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Alina Sirbu
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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.
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W
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.
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U
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.
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T
A. Sirbu
and
Babaoglu, O.
,
“
Towards operator-less data centers through data-driven, predictive, proactive autonomics
”
,
Cluster Computing
, pp. 1–14, 2016.
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A. Sirbu
and
Babaoglu, O.
,
“
Towards Data-Driven Autonomics in Data Centers
”
, in
IEEE International Conference on Cloud and Autonomic Computing
, 2015.
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S
A. Sirbu
,
Ruskin, H. J.
, and
Crane, M.
,
“
Stages of Gene Regulatory Network Inference: the Evolutionary Algorithm Role
”
, in
Evolutionary Algorithms
, InTech, 2011.
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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.
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R
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.
PubMed
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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.
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P
A. Sirbu
,
Giannotti, F.
,
Pedreschi, D.
, and
Kertész, J.
,
“
Public opinion and Algorithmic bias
”
,
ERCIM News
, 2019.
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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.
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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.
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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.
PubMed
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O
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.
DOI
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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.
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N
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.
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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.
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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.
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L
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.
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I
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.
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H
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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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.
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E
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.
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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.
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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.
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