Dimensionality reduction: A comparative review L Van Der Maaten, EO Postma, HJ Van Den Herik Journal of Machine Learning Research 10 (66-71), 13, 2009 | 2633 | 2009 |
Dimensionality reduction: a comparative L Van Der Maaten, E Postma, J Van den Herik Technical Report TiCC TR 2009-005, 2009 | 1407 | 2009 |
Adaptive game AI with dynamic scripting P Spronck, M Ponsen, I Sprinkhuizen-Kuyper, E Postma Machine Learning 63, 217-248, 2006 | 404 | 2006 |
Image processing for artist identification CR Johnson, E Hendriks, IJ Berezhnoy, E Brevdo, SM Hughes, ... IEEE Signal Processing Magazine 25 (4), 37-48, 2008 | 390 | 2008 |
Learning scale-variant and scale-invariant features for deep image classification N Van Noord, E Postma Pattern Recognition 61, 583-592, 2017 | 203 | 2017 |
Difficulty scaling of game AI P Spronck, I Sprinkhuizen-Kuyper, E Postma Proceedings of the 5th International Conference on Intelligent Games and …, 2004 | 195 | 2004 |
Toward Discovery of the Artist's Style: Learning to recognize artists by their artworks N Van Noord, E Hendriks, E Postma IEEE Signal Processing Magazine 32 (4), 46-54, 2015 | 127 | 2015 |
Development and external validation of a predictive model for pathological complete response of rectal cancer patients including sequential PET-CT imaging RGPM van Stiphout, G Lammering, J Buijsen, MHM Janssen, ... Radiotherapy and oncology 98 (1), 126-133, 2011 | 120 | 2011 |
Matlab toolbox for dimensionality reduction L Van der Maaten, EO Postma, HJ van den Herik MICC, Maastricht University, 2007 | 119 | 2007 |
Automated river plastic monitoring using deep learning and cameras C van Lieshout, K van Oeveren, T van Emmerik, E Postma Earth and space science 7 (8), e2019EA000960, 2020 | 107 | 2020 |
Online adaptation of game opponent AI in simulation and in practice P Spronck, I Sprinkhuizen-Kuyper, E Postma Proceedings of the 4th International Conference on Intelligent Games and …, 2003 | 95 | 2003 |
Computer analysis of van Gogh’s complementary colours I Berezhnoy, E Postma, J van den Herik Pattern Recognition Letters 28 (6), 703-709, 2007 | 84 | 2007 |
The use of computer vision to analyze brand-related user generated image content AJ Nanne, ML Antheunis, CG Van Der Lee, EO Postma, S Wubben, ... Journal of Interactive Marketing 50 (1), 156-167, 2020 | 76 | 2020 |
Online adaptation of game opponent AI with dynamic scripting P Spronck, I Sprinkhuizen-Kuyper, E Postma International Journal of Intelligent Games and Simulation 3 (1), 45-53, 2004 | 76 | 2004 |
Dimensionality reduction: a comparative L Van Der Maaten, E Postma, J Van den Herik J Mach Learn Res 10 (1), 66-71, 2007 | 68 | 2007 |
Stochastic outlier selection J Janssens, F Huszár, E Postma, HJ van den Herik Tilburg centre for Creative Computing, techreport 1, 2012, 2012 | 66 | 2012 |
Automatic extraction of brushstroke orientation from paintings: Poet: prevailing orientation extraction technique IE Berezhnoy, EO Postma, HJ van den Herik Machine Vision and Applications 20, 1-9, 2009 | 63 | 2009 |
Improving automatic writer identification. L Van Der Maaten, EO Postma BNAIC, 260-266, 2005 | 59 | 2005 |
Discovering the visual signature of painters HJ van den Herik, EO Postma Future Directions for Intelligent Systems and Information Sciences: The …, 2000 | 57 | 2000 |
Computer vision and machine learning for archaeology L Maaten, P Boon, G Lange, H Paijmans, E Postma Budapest: Archaeolingua, 2007 | 56 | 2007 |