公開日期 | 標題 | 作者 | 來源出版物 | scopus | WOS | 全文 |
2013 | Data Selection Techniques for Large-Scale Rank SVM. | Lin, Ken-Yi; Jan, Te-Kang; HSUAN-TIEN LIN | Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013, Taipei, Taiwan, December 6-8, 2013 | 2 | 0 | |
2019 | A data-driven probabilistic rainfall-inundation model for flash-flood warnings | Pan, T.-Y. ; Lin, H.-T. ; Liao, H.-Y. | Water (Switzerland) | 9 | 6 | |
2019 | Deep Learning with a Rethinking Structure for Multi-label Classification. | Yang, Yao-Yuan; Lin, Yi-An; Chu, Hong-Min; HSUAN-TIEN LIN | Proceedings of The 11th Asian Conference on Machine Learning, ACML 2019, 17-19 November 2019, Nagoya, Japan. | | | |
2018 | A deep model with local surrogate loss for general cost-sensitive multi-label learning | Hsieh C.-Y; Lin Y.-A; HSUAN-TIEN LIN | 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 | | | |
2019 | Dynamic principal projection for cost-sensitive online multi-label classification | Chu, H.-M.; Huang, K.-H.; HSUAN-TIEN LIN | Machine Learning | | | |
2013 | Effective string processing and matching for author disambiguation | Chin, Wei Sheng; Juan, Yu Chin; Zhuang, Yong; Wu, Felix; Tung, Hsiao Yu; Yu, Tong; Wang, Jui Pin; Chang, Cheng Xia; Yang, Chun Pai; Chang, Wei Cheng; Huang, Kuan Hao; Kuo, Tzu Ming; Lin, Shan Wei; Lin, Young San; Lu, Yu Chen; Su, Yu Chuan; Wei, Cheng Kuang; Yin, Tu Chun; Li, Chun Liang; Lin, Ting Wei; Tsai, Cheng Hao; SHOU-DE LIN ; HSUAN-TIEN LIN ; CHIH-JEN LIN | Proceedings of the 2013 KDD Cup 2013 Workshop | 8 | 0 | |
2015 | Effective string processing and matching for author disambiguation | HSUAN-TIEN LIN | Journal of Machine Learning Research | | | |
2013 | Effective string processing and matching for author disambiguation. | Chin, Wei-Sheng et al.; Juan, Yu-Chin; Zhuang, Yong; Wu, Felix; Tung, Hsiao-Yu; Yu, Tong; Wang, Jui-Pin; Chang, Cheng-Xia; Yang, Chun-Pai; Chang, Wei-Cheng; Huang, Kuan-Hao; Kuo, Tzu-Ming; Lin, Shan-Wei; Lin, Young-San; Lu, Yu-Chen; Su, Yu-Chuan; Wei, Cheng-Kuang; Yin, Tu-Chun; Li, Chun-Liang; Lin, Ting-Wei; Tsai, Cheng-Hao; Lin, Shou-De ; Lin, Hsuan-Tien ; CHIH-JEN LIN | Proceedings of the 2013 KDD Cup 2013 Workshop, KDD Cup 2013, Chicago, Illinois, USA, August 11-14, 2013 | 8 | 0 | |
2010 | An Ensemble Ranking Solution to the Yahoo! Learning to Rank Challenge | Tsai, Ming-Feng; Chen, Shang-Tse; Chen, Yao-Nan; Ferng, Chun-Sung; Wang, Chia-Hsuan; Wen, Tzay-Yeu; Lin, Hsuan-Tien | Workshop on the Yahoo! Learning to Rank Challenge at ICML '10 | | | |
2019 | Estimating Tropical Cyclone Intensity by Satellite Imagery Utilizing Convolutional Neural Networks | Chen, Buo-Fu; Chen, Boyo; Lin, Hsuan-Tien; Elsberry, Russell L.; HSUAN-TIEN LIN | Weather and Forecasting | | | |
2022 | Even the Simplest Baseline Needs Careful Re-investigation: A Case Study on XML-CNN | Chen, Si An; Liu, Jie Jyun; Yang, Tsung Han; HSUAN-TIEN LIN ; CHIH-JEN LIN | NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference | 1 | | |
2010 | Feature Engineering and Classifier Ensemble for KDD Cup 2010 | Yu, Hsiang-Fu; Lo, Yi-Chen ; Lin, Shou-de ; Lin, Hsuan-Tien ; Lin, Chih-Jen et al. | KDDCup | | | |
2012 | Feature-aware Label Space Dimension Reduction for Multi-label Classification | Chen, Yao-Nan; Lin, Hsuan-Tien | Advances in Neural Information Processing Systems | | | |
2022 | Improving Clustering Uncertainty-weighted Embeddings for Active Domain Adaptation | Wu, Sheng Feng; HSUAN-TIEN LIN | Proceedings - 2022 International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2022 | 0 | 0 | |
2005 | Improving Generalization by Data Categorization. | Li, Ling; Pratap, Amrit; Lin, Hsuan-Tien; Abu-Mostafa, Yaser S.; HSUAN-TIEN LIN | Knowledge Discovery in Databases: PKDD 2005, 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October 3-7, 2005, Proceedings | | | |
2013 | Improving ranking performance with cost-sensitive ordinal classification via regression | Ruan, Yu-Xun; Lin, Hsuan-Tien; Tsai, Ming-Feng; HSUAN-TIEN LIN | Information Retrieval | | | |
2020 | Improving unsupervised domain adaptation with representative selection techniques | Chen, I.-T.; HSUAN-TIEN LIN | CEUR Workshop Proceedings | | | |
2006 | Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice. | Lin, Hsuan-Tien; Li, Ling; HSUAN-TIEN LIN | Algorithmic Learning Theory, 17th International Conference, ALT 2006, Barcelona, Spain, October 7-10, 2006, Proceedings | | | |
2012 | Learning from Data: A Short Course | Abu-Mostafa, Yaser S.; Magdon-Ismail, Malik; Lin, Hsuan-Tien | | | | |
2020 | Learning from Label Proportions with Consistency Regularization | Tsai, Kuen Han; HSUAN-TIEN LIN | Proceedings of Machine Learning Research | 9 | | |