| Rtsne: T-distributed stochastic neighbor embedding using a Barnes-Hut implementation J Krijthe CRAN: Contributed Packages, 2014 | 574* | 2014 |
| Measuring Parkinson's disease over time: the real‐world within‐subject reliability of the MDS‐UPDRS LJW Evers, JH Krijthe, MJ Meinders, BR Bloem, TM Heskes Movement Disorders 34 (10), 1480-1487, 2019 | 162 | 2019 |
| Feature-level domain adaptation WM Kouw, LJP Van Der Maaten, JH Krijthe, M Loog Journal of Machine Learning Research 17 (171), 1-32, 2016 | 84 | 2016 |
| A brief prehistory of double descent M Loog, T Viering, A Mey, JH Krijthe, DMJ Tax Proceedings of the National Academy of Sciences 117 (20), 10625-10626, 2020 | 83 | 2020 |
| Real-life gait performance as a digital biomarker for motor fluctuations: the Parkinson@ Home validation study LJW Evers, YP Raykov, JH Krijthe, AL Silva de Lima, R Badawy, K Claes, ... Journal of medical Internet research 22 (10), e19068, 2020 | 54 | 2020 |
| Pan-cancer subtyping in a 2D-map shows substructures that are driven by specific combinations of molecular characteristics E Taskesen, SMH Huisman, A Mahfouz, JH Krijthe, J De Ridder, ... Scientific reports 6 (1), 24949, 2016 | 37 | 2016 |
| RSSL: Semi-supervised Learning in R JH Krijthe Reproducible Research in Pattern Recognition: First International Workshop …, 2017 | 28 | 2017 |
| Implicitly constrained semi-supervised least squares classification JH Krijthe, M Loog Advances in Intelligent Data Analysis XIV: 14th International Symposium, IDA …, 2015 | 28 | 2015 |
| Rtsne: t-distributed stochastic neighbor embedding using Barnes-Hut implementation https://github. com/jkrijthe JH Krijthe Rtsne, 2015 | 27 | 2015 |
| Projected estimators for robust semi-supervised classification JH Krijthe, M Loog Machine Learning 106, 993-1008, 2017 | 21 | 2017 |
| Implicitly Constrained Semi-Supervised Linear Discriminant Analysis JH Krijthe, M Loog Pattern Recognition (ICPR), 2014 22nd International Conference on, 3762-3767, 2014 | 21 | 2014 |
| Autoencoding credit card fraud T Sweers, T Heskes, J Krijthe Bachelor Thesis, 2018 | 19 | 2018 |
| Robust semi-supervised least squares classification by implicit constraints JH Krijthe, M Loog Pattern Recognition 63, 115-126, 2017 | 19 | 2017 |
| The future of artificial intelligence in intensive care: moving from predictive to actionable AI JM Smit, JH Krijthe, J van Bommel, ... Intensive Care Medicine 49 (9), 1114-1116, 2023 | 18 | 2023 |
| ReproducedPapers. org: Openly teaching and structuring machine learning reproducibility B Yildiz, H Hung, JH Krijthe, CCS Liem, M Loog, G Migut, FA Oliehoek, ... International Workshop on Reproducible Research in Pattern Recognition, 3-11, 2021 | 18 | 2021 |
| The association of comorbidity with Parkinson's disease-related hospitalizations ALAJ Hommel, JH Krijthe, S Darweesh, BR Bloem Parkinsonism & related disorders 104, 123-128, 2022 | 16 | 2022 |
| Possible modification of BRSK1 on the risk of alkylating chemotherapy-related reduced ovarian function ALLF Van der Kooi, M van Dijk, L Broer, MH van den Berg, JSE Laven, ... Human Reproduction 36 (4), 1120-1133, 2021 | 16 | 2021 |
| On measuring and quantifying performance: error rates, surrogate loss, and an example in semi-supervised learning M Loog, JH Krijthe, AC Jensen Handbook of Pattern Recognition and Computer Vision, 53-68, 2016 | 15 | 2016 |
| Estimating the effect of early treatment initiation in Parkinson's disease using observational data L van den Heuvel, LJW Evers, MJ Meinders, B Post, AM Stiggelbout, ... Movement Disorders 36 (2), 407-414, 2021 | 14 | 2021 |
| Detecting hidden confounding in observational data using multiple environments R Karlsson, J Krijthe Advances in Neural Information Processing Systems 36, 2024 | 13 | 2024 |
Marco LoogRadboud UniversityGeverifieerd e-mailadres voor ru.nl
