| Stability-based validation of clustering solutions T Lange, V Roth, ML Braun, JM Buhmann Neural computation 16 (6), 1299-1323, 2004 | 601 | 2004 |
| Second messenger-mediated adjustment of bacterial swimming velocity A Boehm, M Kaiser, H Li, C Spangler, CA Kasper, M Ackermann, ... Cell 141 (1), 107-116, 2010 | 481 | 2010 |
| Nonlinear discriminant analysis using kernel functions V Roth, V Steinhage Advances in neural information processing systems, 1999, 568--574, 1999 | 371 | 1999 |
| The generalized LASSO V Roth IEEE transactions on neural networks 15 (1), 16-28, 2004 | 339 | 2004 |
| Interferon-induced gene expression is a stronger predictor of treatment response than IL28B genotype in patients with hepatitis C MT Dill, FHT Duong, JE Vogt, S Bibert, PY Bochud, L Terracciano, ... Gastroenterology 140 (3), 1021-1031. e10, 2011 | 293 | 2011 |
| Challenges and opportunities in estimating viral genetic diversity from next-generation sequencing data N Beerenwinkel, HF Günthard, V Roth, KJ Metzner Frontiers in microbiology 3, 329, 2012 | 262 | 2012 |
| Optimal cluster preserving embedding of nonmetric proximity data V Roth, J Laub, M Kawanabe, JM Buhmann IEEE Transactions on Pattern Analysis and Machine Intelligence 25 (12), 1540 …, 2003 | 243 | 2003 |
| The group-lasso for generalized linear models: uniqueness of solutions and efficient algorithms V Roth, B Fischer Proceedings of the 25th international conference on Machine learning, 848-855, 2008 | 234 | 2008 |
| Beyond sparsity: Tree regularization of deep models for interpretability M Wu, M Hughes, S Parbhoo, M Zazzi, V Roth, F Doshi-Velez Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 228 | 2018 |
| NovoHMM: a hidden Markov model for de novo peptide sequencing B Fischer, V Roth, F Roos, J Grossmann, S Baginsky, P Widmayer, ... Analytical chemistry 77 (22), 7265-7273, 2005 | 209 | 2005 |
| Feature selection in clustering problems V Roth, T Lange Advances in neural information processing systems 16, 2003 | 193 | 2003 |
| A resampling approach to cluster validation V Roth, T Lange, M Braun, J Buhmann Proc. Computational Statistics (CompStat’02, Berlin, Germany), 123-128, 2002 | 189 | 2002 |
| Stability-based model selection T Lange, M Braun, V Roth, J Buhmann Advances in neural information processing systems 15, 2002 | 148 | 2002 |
| Probabilistic inference of viral quasispecies subject to recombination A Töpfer, O Zagordi, S Prabhakaran, V Roth, E Halperin, N Beerenwinkel Journal of Computational Biology 20 (2), 113-123, 2013 | 144 | 2013 |
| Full-length haplotype reconstruction to infer the structure of heterogeneous virus populations FD Giallonardo, A Töpfer, M Rey, S Prabhakaran, Y Duport, C Leemann, ... Nucleic acids research 42 (14), e115-e115, 2014 | 137 | 2014 |
| Kernel fisher discriminants for outlier detection V Roth Neural computation 18 (4), 942-960, 2006 | 135 | 2006 |
| Deep sequencing of a genetically heterogeneous sample: local haplotype reconstruction and read error correction O Zagordi, L Geyrhofer, V Roth, N Beerenwinkel Journal of computational biology 17 (3), 417-428, 2010 | 133 | 2010 |
| Determinants of HIV-1 reservoir size and long-term dynamics during suppressive ART N Bachmann, C Von Siebenthal, V Vongrad, T Turk, K Neumann, ... Nature communications 10 (1), 3193, 2019 | 115 | 2019 |
| Clustering with the connectivity kernel B Fischer, V Roth, J Buhmann Advances in neural information processing systems 16, 2003 | 107 | 2003 |
| The Bayesian group-lasso for analyzing contingency tables S Raman, TJ Fuchs, PJ Wild, E Dahl, V Roth Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 103 | 2009 |
Joachim M. BuhmannETH Zurich在 inf.ethz.ch 的电子邮件经过验证
