| Gaussian interaction profile kernels for predicting drug–target interaction T Van Laarhoven, SB Nabuurs, E Marchiori Bioinformatics 27 (21), 3036-3043, 2011 | 866 | 2011 |
| Transfer learning for domain adaptation in mri: Application in brain lesion segmentation M Ghafoorian, A Mehrtash, T Kapur, N Karssemeijer, E Marchiori, ... Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 427 | 2017 |
| Convolutional neural networks for vibrational spectroscopic data analysis J Acquarelli, T van Laarhoven, J Gerretzen, TN Tran, LMC Buydens, ... Analytica chimica acta 954, 22-31, 2017 | 385 | 2017 |
| Location sensitive deep convolutional neural networks for segmentation of white matter hyperintensities M Ghafoorian, N Karssemeijer, T Heskes, IWM van Uden, CI Sanchez, ... Scientific Reports 7 (1), 5110, 2017 | 293 | 2017 |
| Predicting drug-target interactions for new drug compounds using a weighted nearest neighbor profile T Van Laarhoven, E Marchiori PloS one 8 (6), e66952, 2013 | 253 | 2013 |
| Evolutionary algorithms with on-the-fly population size adjustment AE Eiben, E Marchiori, VA Valko Parallel Problem Solving from Nature-PPSN VIII: 8th International Conference …, 2004 | 232 | 2004 |
| Breakpoint identification and smoothing of array comparative genomic hybridization data K Jong, E Marchiori, G Meijer, AVD Vaart, B Ylstra Bioinformatics 20 (18), 3636-3637, 2004 | 226 | 2004 |
| Deep multi-scale location-aware 3D convolutional neural networks for automated detection of lacunes of presumed vascular origin M Ghafoorian, N Karssemeijer, T Heskes, M Bergkamp, J Wissink, J Obels, ... NeuroImage: Clinical 14, 391-399, 2017 | 178 | 2017 |
| optGpSampler: an improved tool for uniformly sampling the solution-space of genome-scale metabolic networks W Megchelenbrink, M Huynen, E Marchiori PloS one 9 (2), e86587, 2014 | 177 | 2014 |
| Evolutionary algorithms for the satisfiability problem J Gottlieb, E Marchiori, C Rossi Evolutionary computation 10 (1), 35-50, 2002 | 171 | 2002 |
| Sample handling for mass spectrometric proteomic investigations of human sera M West-Nielsen, EV Høgdall, E Marchiori, CK Høgdall, C Schou, ... Analytical chemistry 77 (16), 5114-5123, 2005 | 166 | 2005 |
| Reasoning about Prolog programs: from modes through types to assertions KR Apt, E Marchiori Formal Aspects of Computing 6, 743-765, 1994 | 161 | 1994 |
| An evolutionary algorithm for large scale set covering problems with application to airline crew scheduling E Marchiori, A Steenbeek Workshops on real-world applications of evolutionary computation, 370-384, 2000 | 139 | 2000 |
| The metagenomic basis of anammox metabolism in Candidatus ‘Brocadia fulgida’ F Gori, SG Tringe, B Kartal, E Machiori, MSM Jetten Biochemical Society Transactions 39 (6), 1799-1804, 2011 | 121 | 2011 |
| Proving concurrent constraint programs correct FS De Boer, M Gabbrielli, E Marchiori, C Palamidessi ACM Transactions on Programming Languages and Systems (TOPLAS) 19 (5), 685-725, 1997 | 120 | 1997 |
| Class conditional nearest neighbor for large margin instance selection E Marchiori IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (2), 364-370, 2009 | 112 | 2009 |
| Deep learning for automatic stereotypical motor movement detection using wearable sensors in autism spectrum disorders NM Rad, SM Kia, C Zarbo, T van Laarhoven, G Jurman, P Venuti, ... Signal Processing 144, 180-191, 2018 | 103 | 2018 |
| Hit miss networks with applications to instance selection E Marchiori | 103 | 2008 |
| Genetic, iterated and multistart local search for the maximum clique problem E Marchiori Workshops on applications of evolutionary computation, 112-121, 2002 | 103 | 2002 |
| Multi-RELIEF: a method to recognize specificity determining residues from multiple sequence alignments using a Machine-Learning approach for feature weighting K Ye, K Anton Feenstra, J Heringa, AP IJzerman, E Marchiori Bioinformatics 24 (1), 18-25, 2008 | 100 | 2008 |