Issue Date | Title | Author(s) | Source | scopus | WOS | Fulltext/Archive link |
2015 | A dual-augmented block Minimization framework for learning with limited memory | Yen, I.E.H.; Lin, S.-W.; Lin, S.-D.; SHOU-DE LIN | Advances in Neural Information Processing Systems | | | |
2013 | A modified random walk framework for handling negative ratings and generating explanations | Chen, Y.-C.; Lin, Y.-S.; Shen, Y.-C.; Lin, S.-D.; SHOU-DE LIN | ACM Transactions on Intelligent Systems and Technology | 10 | 5 | |
2012 | A ranking-based KNN approach for multi-label classification | Chiang, T.-H.; Lo, H.-Y.; Lin, S.-D.; SHOU-DE LIN | Journal of Machine Learning Research | | | |
2014 | A Social Diffusion Model with an Application on Election Simulation | Jing-Kai Lou; Fu-Min Wang; Chin-Hua Tsai; San-Chuan Hung; Perng-Hwa Kung; Kuan-Ta Chen; CHIN-LAUNG LEI ; SHOU-DE LIN | The Scientific World Journal | 3 | 2 | |
2011 | A social network evolution model based on seniority | Yi-Kuang Ko; Jing-Kai Lou; Cheng-Te Li; SHOU-DE LIN ; SHYH-KANG JENG | Social Network Analysis and Mining | 1 | 0 | |
2014 | A transfer-learning approach to exploit noisy information for classification and its application on sentiment detection | Lin, W.-S.; Kuo, T.-T.; Huang, Y.-Y.; Lu, W.-C.; Lin, S.-D.; SHOU-DE LIN | Lecture Notes in Computer Science | | | |
2014 | A weight-sharing Gaussian process model using web-based information for audience rating prediction | Huang, Y.-Y.; Yen, Y.-A.; Ku, T.-W.; Lin, S.-D.; Hsieh, W.-T.; Ku, T.; SHOU-DE LIN | Lecture Notes in Computer Science | | | |
2019 | A-HA: A hybrid approach for hotel recommendation | Kung-Hsiang H; Tzong-Hann L; Yi-Fu F; Yao-Chun C; SHOU-DE LIN ; Yi-Ting L; Yi-Hui L. | ACM International Conference Proceeding Series | 0 | 0 | |
2011 | Assessing the quality of diffusion models using real-world social network data | Kuo, T.-T.; Hung, S.-C.; Lin, W.-S.; Lin, S.-D.; Peng, T.-C.; Shih, C.-C.; SHOU-DE LIN | 2011 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2011 | 9 | 0 | |
2020 | Attribute-Aware Recommender System Based on Collaborative Filtering: Survey and Classification | Chen W.-H; Hsu C.-C; Lai Y.-A; Liu V; Yeh M.-Y; SHOU-DE LIN | Frontiers in Big Data | 16 | 10 | |
2011 | Audio tag annotation and retrieval using tag count information | Lo, H.-Y.; SHOU-DE LIN ; Wang, H.-M. | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 0 | 0 | |
2015 | Bandwidth-efficient distributed k-nearest-neighbor search with dynamic time warping. | Hsu, Chin-Chi; Kung, Perng-Hwa; Yeh, Mi-Yen; Lin, Shou-De; SHOU-DE LIN | 2015 IEEE International Conference on Big Data, Big Data 2015, Santa Clara, CA, USA, October 29 - November 1, 2015 | 5 | 0 | |
2022 | Bayesian mixture variational autoencoders for multi-modal learning | Liao, Keng Te; Huang, Bo Wei; Yang, Chih Chun; SHOU-DE LIN | Machine Learning | 0 | 0 | |
2011 | BeTracker: A System for Finding Behavioral Patterns from Contextual Sensor and Social Data. | Hsieh, Hsun-Ping; Li, Cheng-Te; SHOU-DE LIN | Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on, Vancouver, BC, Canada, December 11, 2011 | 1 | 0 | |
2012 | Centrality Analysis, Role-Based Clustering, and Egocentric Abstraction for Heterogeneous Social Networks. | Li, Cheng-Te; SHOU-DE LIN | 2012 International Conference on Privacy, Security, Risk and Trust, PASSAT 2012, and 2012 International Confernece on Social Computing, SocialCom 2012, Amsterdam, Netherlands, September 3-5, 2012 | 4 | 0 | |
2019 | Characterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions. | Liu, Yue; Lee, Helena; Achananuparp, Palakorn; Lim, Ee-Peng; Cheng, Tzu-Ling; SHOU-DE LIN | ACM International Conference Proceeding Series | 5 | 0 | |
2017 | A Classification Model for Diverse and Noisy Labelers. | Sung, Hao-En; Chen, Cheng-Kuan; Xiao, Han; Lin, Shou-De; SHOU-DE LIN | Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I | 2 | 0 | |
2018 | A collaborative filtering-Based two stage model with item dependency for course recommendation | Lee, E.L.; Kuo, T.-T.; SHOU-DE LIN | Proceedings - 2017 International Conference on Data Science and Advanced Analytics, DSAA 2017 | 5 | 0 | |
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 | SHOU-DE LIN | Journal of Machine Learning Research | | | |