| 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 | 1856 | 2012 |
| Opinion Dynamics: Models, Extensions and External Effects A Sîrbu, V Loreto, VDP Servedio, F Tria Participatory Sensing, Opinions and Collective Awareness, 363-401, 2017 | 305 | 2017 |
| Algorithmic bias amplifies opinion fragmentation and polarization: A bounded confidence model A Sîrbu, D Pedreschi, F Giannotti, J Kertész PloS one 14 (3), e0213246, 2019 | 135 | 2019 |
| RNA-Seq vs Dual-and Single-Channel Microarray Data: Sensitivity Analysis for Differential Expression and Clustering A Sîrbu, G Kerr, M Crane, HJ Ruskin PLOS ONE 7 (12), e50986, 2012 | 133 | 2012 |
| Human migration: the big data perspective A Sîrbu, G Andrienko, N Andrienko, C Boldrini, M Conti, F Giannotti, ... International Journal of Data Science and Analytics, 1-20, 2020 | 124 | 2020 |
| 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 | 103 | 2013 |
| NDlib: a python library to model and analyze diffusion processes over complex networks G Rossetti, L Milli, S Rinzivillo, A Sîrbu, D Pedreschi, F Giannotti International Journal of Data Science and Analytics 5 (1), 61-79, 2018 | 101 | 2018 |
| Comparison of evolutionary algorithms in gene regulatory network model inference A Sîrbu, HJ Ruskin, M Crane BMC bioinformatics 11 (1), 59, 2010 | 100 | 2010 |
| Opinion dynamics with disagreement and modulated information A Sîrbu, V Loreto, VDP Servedio, F Tria Journal of Statistical Physics, 1-20, 2013 | 63 | 2013 |
| Participatory Patterns in an International Air Quality Monitoring Initiative PLoS ONE 10 (2), e0136763, 2015 | 45 | 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 | 36 | 2017 |
| Power Consumption Modeling and Prediction in a Hybrid CPU-GPU-MIC Supercomputer A Sîrbu, O Babaoglu European Conference on Parallel Processing, 117-130, 2016 | 36 | 2016 |
| 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 Sîrbu, ... Data 5 (4), 91, 2020 | 33 | 2020 |
| A machine learning approach to online fault classification in HPC systems A Netti, Z Kiziltan, O Babaoglu, A Sîrbu, A Bartolini, A Borghesi Future Generation Computer Systems 110, 1009-1022, 2020 | 32 | 2020 |
| Cross-platform microarray data normalisation for regulatory network inference A Sîrbu, HJ Ruskin, M Crane PLoS One 5 (11), e13822, 2010 | 32 | 2010 |
| Towards Data-Driven Autonomics in Data Centers A Sîrbu, O Babaoglu IEEE International Conference on Cloud and Autonomic Computing, 2015 | 31 | 2015 |
| Digital footprints of international migration on twitter J Kim, A Sîrbu, F Giannotti, L Gabrielli Advances in Intelligent Data Analysis XVIII: 18th International Symposium on …, 2020 | 27 | 2020 |
| Towards operator-less data centers through data-driven, predictive, proactive autonomics A Sîrbu, O Babaoglu Cluster Computing 19 (2), 865-878, 2016 | 25 | 2016 |
| Multilevel Monitoring of Activity and Sleep in Healthy People A Rossi, E Da Pozzo, D Menicagli, C Tremolanti, C Priami, A Sirbu, ... PhysioNet, 2020 | 22 | 2020 |
| Cohesion, consensus and extreme information in opinion dynamics A Sîrbu, V Loreto, VDP Servedio, F Tria Advances in Complex Systems 16 (06), 1350035, 2013 | 22 | 2013 |
francesca triaSapienza University of Romeuniroma1.it의 이메일 확인됨
