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Franz J. Kiraly
Franz J. Kiraly
Lecturer in Statistics
Verified email at ucl.ac.uk - Homepage
Title
Cited by
Cited by
Year
Finding stationary subspaces in multivariate time series
P von Bünau, FC Meinecke, FJ Király, KR Müller
Physical review letters 103 (21), 214101, 2009
2632009
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
2602010
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
2152020
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
1592019
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
1532018
The Algebraic Combinatorial Approach for Low-Rank Matrix Completion
FJ Király, L Theran, R Tomioka, T Uno
arXiv preprint arXiv:1211.4116, 2012
992012
Kernels for sequentially ordered data
FJ Király, H Oberhauser
Journal of Machine Learning Research 20 (31), 1-45, 2019
842019
Kernels for sequentially ordered data
FJ Király, H Oberhauser
arXiv preprint arXiv:1601.08169, 2016
842016
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
722016
A combinatorial algebraic approach for the identifiability of low-rank matrix completion
F Király, R Tomioka
arXiv preprint arXiv:1206.6470, 2012
462012
mlr3proba: Machine Learning Survival Analysis in R
R Sonabend, FJ Király, A Bender, B Bischl, M Lang
arXiv preprint arXiv:2008.08080, 2020
43*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
322020
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
322018
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
25*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
252019
Modeling outcomes of soccer matches
A Tsokos, S Narayanan, I Kosmidis, G Baio, M Cucuringu, G Whitaker, ...
Machine Learning 108 (1), 77-95, 2019
252019
Prediction and Quantification of Individual Athletic Performance
DAJ Blythe, FJ Király
arXiv preprint arXiv:1505.01147, 2015
23*2015
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
212011
Prediction and quantification of individual athletic performance of runners
DAJ Blythe, FJ Király
PloS one 11 (6), e0157257, 2016
192016
Algebraic matroids with graph symmetry
FJ Király, Z Rosen, L Theran
arXiv preprint arXiv:1312.3777, 2013
182013
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