| Wisdom of crowds for robust gene network inference D Marbach, JC Costello, R Küffner, NM Vega, RJ Prill, DM Camacho, ... Nature methods 9 (8), 796-804, 2012 | 1645 | 2012 |
| A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis A Statnikov, CF Aliferis, I Tsamardinos, D Hardin, S Levy Bioinformatics 21 (5), 631-643, 2005 | 991 | 2005 |
| A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification A Statnikov, L Wang, CF Aliferis BMC bioinformatics 9 (1), 1-10, 2008 | 760 | 2008 |
| Algorithms for large scale Markov blanket discovery. I Tsamardinos, CF Aliferis, AR Statnikov, E Statnikov FLAIRS conference 2, 376-380, 2003 | 674 | 2003 |
| Local causal and Markov blanket induction for causal discovery and feature selection for classification part I: algorithms and empirical evaluation. CF Aliferis, A Statnikov, I Tsamardinos, S Mani, XD Koutsoukos Journal of Machine Learning Research 11 (1), 2010 | 622 | 2010 |
| Time and sample efficient discovery of Markov blankets and direct causal relations I Tsamardinos, CF Aliferis, A Statnikov Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003 | 429 | 2003 |
| HITON: a novel Markov Blanket algorithm for optimal variable selection CF Aliferis, I Tsamardinos, A Statnikov AMIA annual symposium proceedings 2003, 21, 2003 | 415 | 2003 |
| The Notch/Hes1 pathway sustains NF-κB activation through CYLD repression in T cell leukemia L Espinosa, S Cathelin, T D'Altri, T Trimarchi, A Statnikov, J Guiu, ... Cancer cell 18 (3), 268-281, 2010 | 315 | 2010 |
| Quantitative forecasting of PTSD from early trauma responses: A machine learning application IR Galatzer-Levy, KI Karstoft, A Statnikov, AY Shalev Journal of psychiatric research 59, 68-76, 2014 | 241 | 2014 |
| GEMS: a system for automated cancer diagnosis and biomarker discovery from microarray gene expression data A Statnikov, I Tsamardinos, Y Dosbayev, CF Aliferis International journal of medical informatics 74 (7-8), 491-503, 2005 | 210 | 2005 |
| Local causal and Markov blanket induction for causal discovery and feature selection for classification part II: analysis and extensions. CF Aliferis, A Statnikov, I Tsamardinos, S Mani, XD Koutsoukos Journal of Machine Learning Research 11 (1), 2010 | 207 | 2010 |
| Text categorization models for high-quality article retrieval in internal medicine Y Aphinyanaphongs, I Tsamardinos, A Statnikov, D Hardin, CF Aliferis Journal of the American Medical Informatics Association 12 (2), 207-216, 2005 | 203 | 2005 |
| A comprehensive evaluation of multicategory classification methods for microbiomic data A Statnikov, M Henaff, V Narendra, K Konganti, Z Li, L Yang, Z Pei, ... Microbiome 1 (1), 1-12, 2013 | 174 | 2013 |
| A gentle introduction to support vector machines in biomedicine: Theory and methods A Statnikov world scientific, 2011 | 170* | 2011 |
| Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery. CF Aliferis, I Tsamardinos, AR Statnikov, LE Brown METMBS 3, 371-376, 2003 | 151 | 2003 |
| Bridging a translational gap: using machine learning to improve the prediction of PTSD KI Karstoft, IR Galatzer-Levy, A Statnikov, Z Li, AY Shalev, ... BMC psychiatry 15, 1-7, 2015 | 139 | 2015 |
| Design of the 2015 chalearn automl challenge I Guyon, K Bennett, G Cawley, HJ Escalante, S Escalera, TK Ho, N Macià, ... 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 130 | 2015 |
| Regression of atherosclerosis is characterized by broad changes in the plaque macrophage transcriptome JE Feig, Y Vengrenyuk, V Reiser, C Wu, A Statnikov, CF Aliferis, ... PloS one 7 (6), e39790, 2012 | 123 | 2012 |
| Utilization of machine learning for prediction of post-traumatic stress: a re-examination of cortisol in the prediction and pathways to non-remitting PTSD IR Galatzer-Levy, S Ma, A Statnikov, R Yehuda, AY Shalev Translational psychiatry 7 (3), e1070-e1070, 2017 | 114 | 2017 |
| Analysis of the AutoML challenge series I Guyon, L Sun-Hosoya, M Boullé, HJ Escalante, S Escalera, Z Liu, ... Automated Machine Learning 177, 2019 | 107 | 2019 |
Ioannis TsamardinosProfessor, Computer Science Department, University of Crete在 csd.uoc.gr 的电子邮件经过验证
