| Integrative multiomics analysis of human atherosclerosis reveals a serum response factor‐driven network associated with intraplaque hemorrhage H Jin, P Goossens, P Juhasz, W Eijgelaar, M Manca, JMH Karel, ... Clinical and translational medicine 11 (6), e458, 2021 | 47 | 2021 |
| Integrating multiplex immunofluorescent and mass spectrometry imaging to map myeloid heterogeneity in its metabolic and cellular context P Goossens, C Lu, J Cao, MJ Gijbels, JMH Karel, E Wijnands, BSR Claes, ... Cell metabolism 34 (8), 1214-1225. e6, 2022 | 25 | 2022 |
| Improving card fraud detection through suspicious pattern discovery F Braun, O Caelen, EN Smirnov, S Kelk, B Lebichot Advances in Artificial Intelligence: From Theory to Practice: 30th …, 2017 | 24 | 2017 |
| The ROC isometrics approach to construct reliable classifiers S Vanderlooy, IG Sprinkhuizen-Kuyper, EN Smirnov, HJ van den Herik Intelligent Data Analysis 13 (1), 3-37, 2009 | 24 | 2009 |
| Conjunctive and disjunctive version spaces with instance-based boundary sets EN Smirnov | 22 | 2001 |
| Version Space Learning with Instance-Based Boundary Sets. EN Smirnov, PJ Braspenning ECAI, 460-464, 1998 | 21 | 1998 |
| Time-dependent series variance learning with recurrent mixture density networks N Nikolaev, P Tino, E Smirnov Neurocomputing 122, 501-512, 2013 | 19 | 2013 |
| Reliable classifiers in ROC space S Vanderlooy, IG Sprinkhuizen-Kuyper, EN Smirnov Proceedings of the 15th BENELEARN machine learning conference, 27, 2006 | 18 | 2006 |
| Inexpensive user tracking using boltzmann machines E Mocanu, DC Mocanu, HB Ammar, Z Zivkovic, A Liotta, E Smirnov 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 1-6, 2014 | 16 | 2014 |
| Unanimous voting using support vector machines EN Smirnov, IG Sprinkhuizen-Kuyper, GI Nalbantov | 16 | 2005 |
| Theoretical and experimental study of a meta-typicalness approach for reliable classification EN Smirnov, A Kaptein Sixth IEEE International Conference on Data Mining-Workshops (ICDMW'06), 739-743, 2006 | 15 | 2006 |
| Meta-typicalness approach to reliable classification E Smirnov, S Vanderlooy, I Sprinkhuizen-Kuyper ECAI, 811-812, 2006 | 14 | 2006 |
| Version space support vector machines E Smirnov, I Sprinkhuizen-Kuyper, G Nalbantov, S Vanderlooy FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS 141, 809, 2006 | 14 | 2006 |
| A regime-switching recurrent neural network model applied to wind time series NY Nikolaev, E Smirnov, D Stamate, R Zimmer Applied Soft Computing 80, 723-734, 2019 | 13 | 2019 |
| Conformal stacked weather forecasting J Neeven, E Smirnov Conformal and Probabilistic Prediction and Applications, 220-233, 2018 | 13 | 2018 |
| An analysis of reliable classifiers through ROC isometrics S Vanderlooy, IG Sprinkhuizen-Kuyper, EN Smirnov ROC analysis in machine learning, 2006 | 13 | 2006 |
| Novel concept to guide systolic heart failure medication by repeated biomarker testing—results from TIME-CHF in context of predictive, preventive, and personalized medicine N Davarzani, S Sanders-van Wijk, MT Maeder, P Rickenbacher, ... Epma journal 9, 161-173, 2018 | 12 | 2018 |
| Bivariate lifetime geometric distribution in presence of cure fractions N Davarzani, JA Acgcar, EN Smirno, R Peeters Journal of Data Science 13 (4), 755-770, 2015 | 12 | 2015 |
| Soft nearest convex hull classifier G Nalbantov, E Smirnov ECAI 2010, 841-846, 2010 | 11 | 2010 |
| Space Fragmenting-A Method For Disjunctive Concept Acquisition EN Smirnov Artificial Intelligence V, 97-104, 1992 | 9 | 1992 |
