公開日期 | 標題 | 作者 | 來源出版物 | scopus | WOS | 全文 |
2021 | 360-Degree Gaze Estimation in the Wild Using Multiple Zoom Scales | Ashesh; CHU-SONG CHEN ; HSUAN-TIEN LIN | 32nd British Machine Vision Conference, BMVC 2021 | | | |
2002 | A note on the decomposition methods for support vector regression | Liao, Shuo-Peng; Lin, Hsuan-Tien; Lin, Chih-JenLiao, S.-P.; Lin, H.-T.; Lin, C.-J.; HSUAN-TIEN LIN ; CHIH-JEN LIN | Neural Computation | 20 | | |
2012 | A simple methodology for soft cost-sensitive classification | Jan, Te-Kang; Wang, Da-Wei; Lin, Chi-Hung; HSUAN-TIEN LIN | | 15 | 0 | |
2020 | Active deep Q-learning with demonstration | Chen, S.-A.; Tangkaratt, V.; Lin, H.-T.; Sugiyama, M.; HSUAN-TIEN LIN | Machine Learning | | | |
2015 | Active learning by learning | Hsu W.-N; HSUAN-TIEN LIN | Proceedings of the National Conference on Artificial Intelligence | 77 | | |
2015 | Active learning by learning | Hsu, W.-N.; HSUAN-TIEN LIN | National Conference on Artificial Intelligence | | | |
2013 | Active Learning for Multiclass Cost-Sensitive Classification Using Probabilistic Models. | Chen, Po-Lung; HSUAN-TIEN LIN | Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013, Taipei, Taiwan, December 6-8, 2013 | 9 | 0 | |
2015 | Active learning using hint information | Li, C.-L.; Ferng, C.-S.; HSUAN-TIEN LIN | Neural Computation | | | |
2012 | Active Learning with Hinted Support Vector Machine | Li, Chun-Liang; Ferng, Chun-Sung; Lin, Hsuan-Tien | ACML | | | |
2012 | Active learning with hinted support vector machine | Li, C.-L.; Ferng, C.-S.; HSUAN-TIEN LIN | Journal of Machine Learning Research | | | |
2013 | Active sampling of pairs and points for large-scale linear bipartite ranking | Shen, W.-Y.; HSUAN-TIEN LIN | Journal of Machine Learning Research | | | |
2019 | Advances in cost-sensitive multiclass and multilabel classification | HSUAN-TIEN LIN | Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining | 1 | 0 | |
2019 | Annotation cost-sensitive active learning by tree sampling | Tsou, Y.-L.; HSUAN-TIEN LIN | Machine Learning | | | |
2019 | Attention-based deep tropical cyclone rapid intensification prediction | Bai, C.-Y.; Chen, B.-F.; HSUAN-TIEN LIN | CEUR Workshop Proceedings | | | |
2016 | Automatic Bridge bidding using deep reinforcement learning | Yeh, C.-K.; HSUAN-TIEN LIN | Frontiers in Artificial Intelligence and Applications | 7 | 0 | |
2018 | Automatic Bridge Bidding Using Deep Reinforcement Learning | Yeh, C.; Hsieh, C.; HSUAN-TIEN LIN | Journal of Lightwave Technology | 14 | 9 | |
2012 | Balancing between Estimated Reward and Uncertainty during News Article Recommendation for ICML 2012 Exploration and Exploitation Challenge | Chou, Ku-Chun; Lin, Hsuan-Tien | ICML | | | |
2021 | Benchmarking Tropical Cyclone Rapid Intensification with Satellite Images and?Attention-Based Deep Models | Bai C.-Y; Chen B.-F; HSUAN-TIEN LIN | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | | | |
2014 | Boosting with online binary learners for the multiclass bandit problem | Chen, S.-T.; Lin, H.-T.; Lu, C.-J.; HSUAN-TIEN LIN | 31st International Conference on Machine Learning, ICML 2014 | | | |
2016 | Can Active Learning Experience Be Transferred? | Chu, Hong-Min; HSUAN-TIEN LIN | IEEE 16th International Conference on Data Mining, ICDM 2016, December 12-15, 2016, Barcelona, Spain | | | |