| Finding stationary subspaces in multivariate time series P von Bünau, FC Meinecke, FJ Király, KR Müller Physical review letters 103 (21), 214101, 2009 | 231 | 2009 |
| Prospective evaluation of allogeneic hematopoietic stem-cell transplantation from matched related and matched unrelated donors in younger adults with high-risk acute myeloid … RF Schlenk, K Döhner, S Mack, M Stoppel, F Király, K Götze, F Hartmann, ... Journal of Clinical Oncology 28 (30), 4642-4648, 2010 | 224 | 2010 |
| The Algebraic Combinatorial Approach for Low-Rank Matrix Completion FJ Király, L Theran, R Tomioka, T Uno arXiv preprint arXiv:1211.4116, 2012 | 91 | 2012 |
| Problematic internet use as an age-related multifaceted problem: Evidence from a two-site survey K Ioannidis, MS Treder, SR Chamberlain, F Kiraly, SA Redden, DJ Stein, ... Addictive behaviors 81, 157-166, 2018 | 63 | 2018 |
| Kernels for sequentially ordered data FJ Király, H Oberhauser Journal of Machine Learning Research 20 (31), 1-45, 2019 | 47 | 2019 |
| Kernels for sequentially ordered data FJ Király, H Oberhauser arXiv preprint arXiv:1601.08169, 2016 | 47 | 2016 |
| Problematic internet use (PIU): Associations with the impulsive-compulsive spectrum. An application of machine learning in psychiatry K Ioannidis, SR Chamberlain, MS Treder, F Kiraly, EW Leppink, ... Journal of Psychiatric Research 83, 94-102, 2016 | 41 | 2016 |
| A combinatorial algebraic approach for the identifiability of low-rank matrix completion F Király, R Tomioka arXiv preprint arXiv:1206.6470, 2012 | 40 | 2012 |
| Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness S Vollmer, BA Mateen, G Bohner, FJ Király, R Ghani, P Jonsson, ... bmj 368, 2020 | 35 | 2020 |
| sktime: A Unified Interface for Machine Learning with Time Series M Löning, A Bagnall, S Ganesh, V Kazakov, J Lines, FJ Király arXiv preprint arXiv:1909.07872, 2019 | 24 | 2019 |
| Algebraic matroids with graph symmetry FJ Király, Z Rosen, L Theran arXiv preprint arXiv:1312.3777, 2013 | 18 | 2013 |
| The stationary subspace analysis toolbox JS Müller, P Bünau, FC Meinecke, FJ Király, KR Müller The Journal of Machine Learning Research 12, 3065-3069, 2011 | 18 | 2011 |
| Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness S Vollmer, BA Mateen, G Bohner, FJ Király, R Ghani, P Jonsson, ... arXiv preprint arXiv:1812.10404, 2018 | 17 | 2018 |
| Correction to: Modeling outcomes of soccer matches A Tsokos, S Narayanan, I Kosmidis, G Baio, M Cucuringu, G Whitaker, ... Machine Learning 108 (2), 377-378, 2019 | 16* | 2019 |
| Modeling outcomes of soccer matches A Tsokos, S Narayanan, I Kosmidis, G Baio, M Cucuringu, G Whitaker, ... Machine Learning 108 (1), 77-95, 2019 | 16 | 2019 |
| Modeling outcomes of soccer matches A Tsokos, S Narayanan, I Kosmidis, G Baio, M Cucuringu, G Whitaker, ... Machine Learning 108 (1), 77-95, 2019 | 16 | 2019 |
| Prediction and Quantification of Individual Athletic Performance DAJ Blythe, FJ Király arXiv preprint arXiv:1505.01147, 2015 | 14* | 2015 |
| Error-minimizing estimates and universal entry-wise error bounds for low-rank matrix completion FJ Király, L Theran Proceedings of the 26th International Conference on Neural Information …, 2013 | 14 | 2013 |
| Modelling Competitive Sports: Bradley-Terry-\'{E} l\H {o} Models for Supervised and On-Line Learning of Paired Competition Outcomes FJ Király, Z Qian arXiv preprint arXiv:1701.08055, 2017 | 13 | 2017 |
| Algebraic geometric comparison of probability distributions FJ Király, PV Bünau, FC Meinecke, DAJ Blythe, KR Müller The Journal of Machine Learning Research 13, 855-903, 2012 | 13 | 2012 |
Klaus-Robert MüllerGoogle Brain (on leave of Professor for Machine Learning, TU Berlin & Korea University, Seoul)Verified email at tu-berlin.de
