| 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 | 390 | 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 | 301 | 2019 |
| Finding stationary subspaces in multivariate time series P von Bünau, FC Meinecke, FJ Király, KR Müller Physical review letters 103 (21), 214101, 2009 | 287 | 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 | 283 | 2010 |
| 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 | 228 | 2018 |
| Kernels for sequentially ordered data FJ Király, H Oberhauser Journal of Machine Learning Research 20 (31), 1-45, 2019 | 148 | 2019 |
| Kernels for sequentially ordered data FJ Király, H Oberhauser arXiv preprint arXiv:1601.08169, 2016 | 148 | 2016 |
| The Algebraic Combinatorial Approach for Low-Rank Matrix Completion FJ Király, L Theran, R Tomioka, T Uno arXiv preprint arXiv:1211.4116, 2012 | 120 | 2012 |
| 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 | 95 | 2016 |
| mlr3proba: Machine Learning Survival Analysis in R R Sonabend, FJ Király, A Bender, B Bischl, M Lang arXiv preprint arXiv:2008.08080, 2020 | 78* | 2020 |
| MLJ: A Julia package for composable machine learning AD Blaom, F Kiraly, T Lienart, Y Simillides, D Arenas, SJ Vollmer arXiv preprint arXiv:2007.12285, 2020 | 63 | 2020 |
| 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 | 49 | 2018 |
| A combinatorial algebraic approach for the identifiability of low-rank matrix completion F Király, R Tomioka arXiv preprint arXiv:1206.6470, 2012 | 49 | 2012 |
| 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 | 40* | 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 | 40 | 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 | 40 | 2019 |
| Prediction and Quantification of Individual Athletic Performance DAJ Blythe, FJ Király arXiv preprint arXiv:1505.01147, 2015 | 29* | 2015 |
| Prediction and quantification of individual athletic performance of runners DAJ Blythe, FJ Király PloS one 11 (6), e0157257, 2016 | 26 | 2016 |
| The Trail Making test: a study of its ability to predict falls in the acute neurological in-patient population BA Mateen, M Bussas, C Doogan, D Waller, A Saverino, FJ Király, ... Clinical rehabilitation 32 (10), 1396-1405, 2018 | 25 | 2018 |
| 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 | 21 | 2011 |
Klaus-Robert MüllerGoogle DeepMind & TU Berlin & Korea University & Max Planck Institute for Informatics, GermanyBestätigte E-Mail-Adresse bei tu-berlin.de
