دنبال کردن
Jan N. van Rijn
Jan N. van Rijn
Leiden University
ایمیل تأیید شده در liacs.leidenuniv.nl - صفحهٔ اصلی
عنوان
نقل شده توسط
نقل شده توسط
سال
OpenML: networked science in machine learning‏
J Vanschoren, JN Van Rijn, B Bischl, L Torgo‏
ACM SIGKDD Explorations Newsletter 15 (2), 49-60, 2014‏
16142014
A survey of deep meta-learning‏
M Huisman, JN Van Rijn, A Plaat‏
Artificial Intelligence Review 54 (6), 4483-4541, 2021‏
4222021
Hyperparameter importance across datasets‏
JN Van Rijn, F Hutter‏
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018‏
3052018
Openml benchmarking suites‏
B Bischl, G Casalicchio, M Feurer, P Gijsbers, F Hutter, M Lang, ...‏
Proceedings of the Neural Information Processing Systems Track on Datasets …, 2021‏
164*2021
The online performance estimation framework: heterogeneous ensemble learning for data streams‏
JN van Rijn, G Holmes, B Pfahringer, J Vanschoren‏
Machine Learning 107, 149-176, 2018‏
1252018
Openml-python: an extensible python api for openml‏
M Feurer, JN Van Rijn, A Kadra, P Gijsbers, N Mallik, S Ravi, A Müller, ...‏
Journal of Machine Learning Research 22 (100), 1-5, 2021‏
1112021
OpenML: A collaborative science platform‏
JN Van Rijn, B Bischl, L Torgo, B Gao, V Umaashankar, S Fischer, ...‏
Joint european conference on machine learning and knowledge discovery in …, 2013‏
1102013
Fast algorithm selection using learning curves‏
JN van Rijn, SM Abdulrahman, P Brazdil, J Vanschoren‏
Advances in Intelligent Data Analysis XIV: 14th International Symposium, IDA …, 2015‏
1052015
OpenML benchmarking suites and the OpenML100‏
B Bischl, G Casalicchio, M Feurer, F Hutter, M Lang, RG Mantovani, ...‏
stat 1050 (11), 97, 2017‏
872017
Speeding up algorithm selection using average ranking and active testing by introducing runtime‏
SM Abdulrahman, P Brazdil, JN Van Rijn, J Vanschoren‏
Machine learning 107, 79-108, 2018‏
842018
Learning curves for decision making in supervised machine learning: a survey‏
F Mohr, JN van Rijn‏
Machine Learning 113 (11), 8371-8425, 2024‏
782024
The algorithm selection competitions 2015 and 2017‏
M Lindauer, JN van Rijn, L Kotthoff‏
Artificial Intelligence 272, 86-100, 2019‏
78*2019
Algorithm selection on data streams‏
JN van Rijn, G Holmes, B Pfahringer, J Vanschoren‏
Discovery Science: 17th International Conference, DS 2014, Bled, Slovenia …, 2014‏
762014
Metalearning: applications to automated machine learning and data mining‏
P Brazdil, JN Van Rijn, C Soares, J Vanschoren‏
Springer Nature, 2022‏
752022
Having a blast: Meta-learning and heterogeneous ensembles for data streams‏
JN van Rijn, G Holmes, B Pfahringer, J Vanschoren‏
2015 ieee international conference on data mining, 1003-1008, 2015‏
632015
Artificial Intelligence to Advance Earth Observation: A review of models, recent trends, and pathways forward‏
D Tuia, K Schindler, B Demir, XX Zhu, M Kochupillai, S Džeroski, ...‏
IEEE Geoscience and Remote Sensing Magazine, 2024‏
572024
Does feature selection improve classification? A large scale experiment in OpenML‏
MJ Post, P Van Der Putten, JN Van Rijn‏
Advances in Intelligent Data Analysis XV: 15th International Symposium, IDA …, 2016‏
452016
Learning multiple defaults for machine learning algorithms‏
F Pfisterer, JN Van Rijn, P Probst, AC Müller, B Bischl‏
Proceedings of the genetic and evolutionary computation conference companion …, 2021‏
412021
Meta-album: Multi-domain meta-dataset for few-shot image classification‏
I Ullah, D Carrión-Ojeda, S Escalera, I Guyon, M Huisman, F Mohr, ...‏
Advances in Neural Information Processing Systems 35, 3232-3247, 2022‏
402022
Fast and informative model selection using learning curve cross-validation‏
F Mohr, JN van Rijn‏
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (8), 9669-9680, 2023‏
382023
سیستم در حال حاضر قادر به انجام عملکرد نیست. بعداً دوباره امتحان کنید.
مقاله‌ها 1–20