Alina Sīrbu
Alina Sīrbu
Computer Science Department, University of Pisa, Italy
Email verificata su
Citata da
Citata da
Wisdom of crowds for robust gene network inference (As part of the DREAM5 consortium)
D Marbach, JC Costello, R Küffner, NM Vega, RJ Prill, DM Camacho, ...
Nature Methods, 2012
Opinion Dynamics: Models, Extensions and External Effects
A Sīrbu, 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 Sīrbu, G Kerr, M Crane, HJ Ruskin
PLOS ONE 7 (12), e50986, 2012
Comparison of evolutionary algorithms in gene regulatory network model inference
A Sīrbu, 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
Opinion dynamics with disagreement and modulated information
A Sīrbu, V Loreto, VDP Servedio, F Tria
Journal of Statistical Physics, 1-20, 2013
NDlib: a python library to model and analyze diffusion processes over complex networks
G Rossetti, L Milli, S Rinzivillo, A Sīrbu, D Pedreschi, F Giannotti
International Journal of Data Science and Analytics 5 (1), 61-79, 2018
Algorithmic bias amplifies opinion fragmentation and polarization: A bounded confidence model
A Sīrbu, D Pedreschi, F Giannotti, J Kertész
PloS one 14 (3), e0213246, 2019
Cross-platform microarray data normalisation for regulatory network inference
A Sīrbu, HJ Ruskin, M Crane
PLoS One 5 (11), e13822, 2010
Participatory Patterns in an International Air Quality Monitoring Initiative
PLoS ONE 10 (2), e0136763, 2015
Towards Data-Driven Autonomics in Data Centers
A Sīrbu, 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
Power Consumption Modeling and Prediction in a Hybrid CPU-GPU-MIC Supercomputer
A Sīrbu, O Babaoglu
European Conference on Parallel Processing, 117-130, 2016
Towards operator-less data centers through data-driven, predictive, proactive autonomics
A Sīrbu, O Babaoglu
Cluster Computing 19 (2), 865-878, 2016
A Holistic Approach to Log Data Analysis in High-Performance Computing Systems: The Case of IBM Blue Gene/Q
A Sīrbu, O Babaoglu
Euro-Par 2015: parallel Processing Workshops, LNCS 9523, 2015
Stages of Gene Regulatory Network Inference: the Evolutionary Algorithm Role
A Sīrbu, HJ Ruskin, M Crane
Prediction of next career moves from scientific profiles
C James, L Pappalardo, A Sīrbu, F Simini
arXiv preprint arXiv:1802.04830, 2018
A Big Data Analyzer for Large Trace Logs
A Balliu, D Olivetti, O Babaoglu, M Marzolla, A Sīrbu
Computing, 2015
FINJ: A fault injection tool for HPC systems
A Netti, Z Kiziltan, O Babaoglu, A Sīrbu, A Bartolini, A Borghesi
European Conference on Parallel Processing, 800-812, 2018
Cohesion, consensus and extreme information in opinion dynamics
A Sīrbu, V Loreto, VDP Servedio, F Tria
Advances in Complex Systems 16 (06), 1350035, 2013
Il sistema al momento non puņ eseguire l'operazione. Riprova pił tardi.
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