Tomoya Sakai
Orcid: 0000-0003-3510-0979Affiliations:
- NEC Research & Development Unit, Japan
According to our database1,
Tomoya Sakai
authored at least 23 papers
between 2014 and 2022.
Collaborative distances:
Collaborative distances:
Timeline
2014
2015
2016
2017
2018
2019
2020
2021
2022
0
1
2
3
4
5
6
1
1
4
2
2
1
1
4
3
1
2
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
2021
Neural Comput., 2021
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Neural Networks, 2018
Correction to: Semi-supervised AUC optimization based on positive-unlabeled learning.
Mach. Learn., 2018
Mach. Learn., 2018
2017
CoRR, 2017
Risk Minimization Framework for Multiple Instance Learning from Positive and Unlabeled Bags.
CoRR, 2017
Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data.
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
Beyond the Low-density Separation Principle: A Novel Approach to Semi-supervised Learning.
CoRR, 2016
Theoretical Comparisons of Learning from Positive-Negative, Positive-Unlabeled, and Negative-Unlabeled Data.
CoRR, 2016
Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
2014
Computationally Efficient Estimation of Squared-Loss Mutual Information with Multiplicative Kernel Models.
IEICE Trans. Inf. Syst., 2014