公開日期 | 標題 | 作者 | 來源出版物 | scopus | WOS | 全文 |
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 | | | |
2017 | Can active learning experience be transferred? | Chu, H.-M.; HSUAN-TIEN LIN | Proceedings - IEEE International Conference on Data Mining, ICDM | | | |
2020 | Cold-start active learning through self-supervised language modeling | Yuan M; HSUAN-TIEN LIN ; Boyd-Graber J. | EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference | 56 | | |
2013 | Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013 | Li, Chun Liang; Su, Yu Chuan; Lin, Ting Wei; Tsai, Cheng Hao; Chang, Wei Cheng; Huang, Kuan Hao; Kuo, Tzu Ming; Lin, Shan Wei; Lin, Young San; Lu, Yu Chen; Yang, Chun Pai; Chang, Cheng Xia; Chin, Wei Sheng; Juan, Yu Chin; Tung, Hsiao Yu; Wang, Jui Pin; Wei, Cheng Kuang; Wu, Felix; Yin, Tu Chun; Yu, Tong; Zhuang, Yong; SHOU-DE LIN ; HSUAN-TIEN LIN ; CHIH-JEN LIN | Proceedings of the 2013 KDD Cup 2013 Workshop | 9 | 0 | |
2015 | Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013 | HSUAN-TIEN LIN | Journal of Machine Learning Research | | | |
2009 | Combining Ordinal Preferences by Boosting | Lin, Hsuan-Tien ; Li, Ling | Preference Learning Workshop at ECML/PKDD '09 | | | |
2018 | Compatibility family learning for item recommendation and generation | Shih Y.-S; Chang K.-Y; Lin H.-T; Sun M.; HSUAN-TIEN LIN | 32nd AAAI Conference on Artificial Intelligence, AAAI 2018 | | | |
2014 | Condensed filter tree for cost-sensitive multi-label classification | Li, C.-L.; HSUAN-TIEN LIN | 31st International Conference on Machine Learning | | | |
2020 | Cost Learning Network for Imbalanced Classification | Tu C.-Y; HSUAN-TIEN LIN | Proceedings - 25th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2020 | 0 | 0 | |
2011 | Cost-Sensitive Classification on Pathogen Species of Bacterial Meningitis by Surface Enhanced Raman Scattering. | Jan, Te-Kang; Lin, Hsuan-Tien; Chen, Hsin-Pai; Chern, Tsung-Chen; Huang, Chung-Yueh; Wen, Bing-Cheng; Chung, Chia-Wen; Li, Yung-Jui; Chuang, Ya-Ching; Li, Li-Li; Chan, Yu-Jiun; Wang, Juen-Kai; Wang, Yuh-Lin; Lin, Chi-Hung; HSUAN-TIEN LIN ; Wang, Juen-Kai | IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2011, Atlanta, GA, USA, November 12-15, , 2011 | 4 | 0 | |
2010 | Cost-sensitive Classification: Status and Beyond | Lin, Hsuan-Tien | Workshop on Machine Learning Research in Taiwan: Challenges and Directions at TAAI | | | |
2020 | Cost-Sensitive Deep Learning with Layer-Wise Cost Estimation | Chung Y.-A; Yang S.-W; HSUAN-TIEN LIN | Proceedings - 25th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2020 | 0 | 0 | |
2018 | Cost-Sensitive Encoding for Label Space Dimension Reduction Algorithms on Multi-label Classification | Lo, K.-H.; HSUAN-TIEN LIN | Proceedings - 2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017 | 2 | 0 | |
2017 | Cost-sensitive label embedding for multi-label classification | Kuan-Hao Huang; HSUAN-TIEN LIN | Machine Learning | | | |
2018 | Cost-Sensitive Reference Pair Encoding for Multi-Label Learning. | Yang, Yao-Yuan; Huang, Kuan-Hao; Chang, Chih-Wei; HSUAN-TIEN LIN | Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part I | 2 | 0 | |
2018 | Cyclic classifier chain for cost-Sensitive multilabel classification | Lin, Y.-A.; HSUAN-TIEN LIN | Proceedings - 2017 International Conference on Data Science and Advanced Analytics, DSAA 2017 | 0 | 0 | |
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 | | | |