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Alina Sirbu
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Book Chapter
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.
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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.
DOI
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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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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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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.
DOI
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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.
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Conference Paper
A. Balliu
,
Olivetti, D.
,
Babaoglu, O.
,
Marzolla, M.
, and
Sirbu, A.
,
“
BiDAl: Big Data Analyzer for Cluster Traces
”
, in
Informatika (BigSys workshop)
, 2014.
Google Scholar
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J. Kim
,
Sirbu, A.
,
Giannotti, F.
, and
Gabrielli, L.
,
“
Digital Footprints of International Migration on Twitter
”
, in
International Symposium on Intelligent Data Analysis
, 2020.
DOI
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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.
DOI
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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.
DOI
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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.
DOI
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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.
DOI
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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.
DOI
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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.
DOI
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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.
DOI
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Conference Proceedings
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.
DOI
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Journal Article
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.
DOI
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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.
PubMed
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A. Balliu
,
Olivetti, D.
,
Babaoglu, O.
,
Marzolla, M.
, and
Sirbu, A.
,
“
A Big Data Analyzer for Large Trace Logs
”
,
Computing
, 2015.
DOI
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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.
DOI
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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.
PubMed
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A. Sirbu
,
Ruskin, H. J.
, and
Crane, M.
,
“
Cross-platform microarray data normalisation for regulatory network inference.
”
,
PLoS One
, vol. 5, p. e13822, 2010.
PubMed
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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.
DOI
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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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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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