Jan N. van Rijn
Orcid: 0000-0003-2898-2168Affiliations:
- University of Freiburg, Department of Computer Science, Germany
- Leiden University, Leiden Institute of Advanced Computer Science, The Netherlands
According to our database1,
Jan N. van Rijn
authored at least 52 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on twitter.com
-
on orcid.org
On csauthors.net:
Bibliography
2024
Hyperparameter importance and optimization of quantum neural networks across small datasets.
Mach. Learn., April, 2024
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024
Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023
CoRR, 2023
Critically Assessing the State of the Art in CPU-based Local Robustness Verification.
Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023
2022
Speeding up neural network robustness verification via algorithm configuration and an optimised mixed integer linear programming solver portfolio.
Mach. Learn., 2022
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification.
CoRR, 2022
CoRR, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the ECML/PKDD Workshop on Meta-Knowledge Transfer, 2022
Proceedings of the Discovery Science - 25th International Conference, 2022
2021
Automated Machine Learning for Satellite Data: Integrating Remote Sensing Pre-trained Models into AutoML Systems.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification.
Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Proceedings of the Discovery Science - 24th International Conference, 2021
Proceedings of the AAAI Workshop on Meta-Learning and MetaDL Challenge, 2021
2020
Eating Sound Dataset for 20 Food Types and Sound Classification Using Convolutional Neural Networks.
Proceedings of the Companion Publication of the 2020 International Conference on Multimodal Interaction, 2020
2019
Multi-task learning with a natural metric for quantitative structure activity relationship learning.
J. Cheminformatics, 2019
Proceedings of the Discovery Science - 22nd International Conference, 2019
2018
The online performance estimation framework: heterogeneous ensemble learning for data streams.
Mach. Learn., 2018
Speeding up algorithm selection using average ranking and active testing by introducing runtime.
Mach. Learn., 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Don't Rule Out Simple Models Prematurely: A Large Scale Benchmark Comparing Linear and Non-linear Classifiers in OpenML.
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018
Proceedings of the Artificial Intelligence - 30th Benelux Conference, 2018
2017
Proceedings of the International Workshop on Automatic Selection, 2017
Proceedings of the Open Algorithm Selection Challenge 2017, 2017
2016
Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016
2015
Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015 (ECMLPKDD 2015), 2015
Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015 (ECMLPKDD 2015), 2015
Proceedings of the 4th International Workshop on Big Data, 2015
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
2014
Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, 2014
Proceedings of the Discovery Science - 17th International Conference, 2014
2013
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013