Alina Sīrbu
Alina Sīrbu
Computer Science Department, University of Pisa, Italy
Email verificata su
TitoloCitata daAnno
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
Comparison of evolutionary algorithms in gene regulatory network model inference
A Sīrbu, HJ Ruskin, M Crane
BMC bioinformatics 11 (1), 59, 2010
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
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: Models, Extensions and External Effects
A Sīrbu, V Loreto, VDP Servedio, F Tria
Participatory Sensing, Opinions and Collective Awareness, 363-401, 2017
Opinion dynamics with disagreement and modulated information
A Sīrbu, V Loreto, VDP Servedio, F Tria
Journal of Statistical Physics, 1-20, 2013
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
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 Data-Driven Autonomics in Data Centers
A Sīrbu, O Babaoglu
IEEE International Conference on Cloud and Autonomic Computing, 2015
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
Stages of Gene Regulatory Network Inference: the Evolutionary Algorithm Role
A Sīrbu, HJ Ruskin, M Crane
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 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
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
Integrating heterogeneous gene expression data for gene regulatory network modelling
A Sīrbu, HJ Ruskin, M Crane
Theory in Biosciences 131 (2), 95-102, 2012
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
BiDAl: Big Data Analyzer for Cluster Traces
A Balliu, D Olivetti, O Babaoglu, M Marzolla, A Sīrbu
Informatika (BigSys workshop) 232, 1781-1795, 2014
Il sistema al momento non puņ eseguire l'operazione. Riprova pił tardi.
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