Alina SÓrbu
Alina SÓrbu
Computer Science Department, University of Pisa, Italy
Verified email at
Cited by
Cited by
Wisdom of crowds for robust gene network inference (As part of the DREAM5 consortium)
D Marbach, JC Costello, R KŁffner, NM Vega, RJ Prill, DM Camacho, ...
Nature Methods, 2012
Opinion Dynamics: Models, Extensions and External Effects
A SÓrbu, V Loreto, VDP Servedio, F Tria
Participatory Sensing, Opinions and Collective Awareness, 363-401, 2017
RNA-Seq vs Dual-and Single-Channel Microarray Data: Sensitivity Analysis for Differential Expression and Clustering
A SÓrbu, G Kerr, M Crane, HJ Ruskin
PLOS ONE 7 (12), e50986, 2012
Comparison of evolutionary algorithms in gene regulatory network model inference
A SÓrbu, HJ Ruskin, M Crane
BMC bioinformatics 11 (1), 59, 2010
Awareness and learning in participatory noise sensing
M Becker, S Caminiti, D Fiorella, L Francis, P Gravino, MM Haklay, ...
PloS one 8 (12), e81638, 2013
Algorithmic bias amplifies opinion fragmentation and polarization: A bounded confidence model
A SÓrbu, D Pedreschi, F Giannotti, J Kertťsz
PloS one 14 (3), e0213246, 2019
NDlib: a python library to model and analyze diffusion processes over complex networks
G Rossetti, L Milli, S Rinzivillo, A SÓrbu, D Pedreschi, F Giannotti
International Journal of Data Science and Analytics 5 (1), 61-79, 2018
Human migration: the big data perspective
A SÓrbu, G Andrienko, N Andrienko, C Boldrini, M Conti, F Giannotti, ...
International Journal of Data Science and Analytics, 1-20, 2020
Opinion dynamics with disagreement and modulated information
A SÓrbu, V Loreto, VDP Servedio, F Tria
Journal of Statistical Physics, 1-20, 2013
Participatory Patterns in an International Air Quality Monitoring Initiative
PLoS ONE 10 (2), e0136763, 2015
Cross-platform microarray data normalisation for regulatory network inference
A SÓrbu, HJ Ruskin, M Crane
PLoS One 5 (11), e13822, 2010
Power Consumption Modeling and Prediction in a Hybrid CPU-GPU-MIC Supercomputer
A SÓrbu, O Babaoglu
European Conference on Parallel Processing, 117-130, 2016
Towards Data-Driven Autonomics in Data Centers
A SÓrbu, O Babaoglu
IEEE International Conference on Cloud and Autonomic Computing, 2015
Data-driven job dispatching in HPC systems
C Galleguillos, A Sırbu, Z Kiziltan, O Babaoglu, A Borghesi, T Bridi
International Workshop on Machine Learning, Optimization, and Big Data, 449-461, 2017
Towards operator-less data centers through data-driven, predictive, proactive autonomics
A SÓrbu, O Babaoglu
Cluster Computing 19 (2), 865-878, 2016
A machine learning approach to online fault classification in HPC systems
A Netti, Z Kiziltan, O Babaoglu, A SÓrbu, A Bartolini, A Borghesi
Future Generation Computer Systems 110, 1009-1022, 2020
Prediction of next career moves from scientific profiles
C James, L Pappalardo, A SÓrbu, F Simini
arXiv preprint arXiv:1802.04830, 2018
A Public Dataset of 24-h Multi-Levels Psycho-Physiological Responses in Young Healthy Adults
A Rossi, E Da Pozzo, D Menicagli, C Tremolanti, C Priami, A SÓrbu, ...
Data 5 (4), 91, 2020
FINJ: A fault injection tool for HPC systems
A Netti, Z Kiziltan, O Babaoglu, A SÓrbu, A Bartolini, A Borghesi
Euro-Par 2018: Parallel Processing Workshops: Euro-Par 2018 International†…, 2019
A Big Data Analyzer for Large Trace Logs
A Balliu, D Olivetti, O Babaoglu, M Marzolla, A SÓrbu
Computing, 2015
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Articles 1–20