Learning from crowds. VC Raykar, S Yu, LH Zhao, GH Valadez, C Florin, L Bogoni, L Moy Journal of machine learning research 11 (4), 2010 | 1697 | 2010 |
Vips: a vision-based page segmentation algorithm D Cai, S Yu, JR Wen, WY Ma | 997 | 2003 |
Extracting content structure for web pages based on visual representation D Cai, S Yu, JR Wen, WY Ma Web Technologies and Applications: 5th Asia-Pacific Web Conference, APWeb …, 2003 | 611 | 2003 |
Ranking annotators for crowdsourced labeling tasks VC Raykar, S Yu Advances in neural information processing systems 24, 2011 | 448 | 2011 |
Supervised learning from multiple experts: whom to trust when everyone lies a bit VC Raykar, S Yu, LH Zhao, A Jerebko, C Florin, GH Valadez, L Bogoni, ... Proceedings of the 26th Annual international conference on machine learning …, 2009 | 446 | 2009 |
Improving pseudo-relevance feedback in web information retrieval using web page segmentation S Yu, D Cai, JR Wen, WY Ma Proceedings of the 12th international conference on World Wide Web, 11-18, 2003 | 440 | 2003 |
Multi-label informed latent semantic indexing K Yu, S Yu, V Tresp Proceedings of the 28th annual international ACM SIGIR conference on …, 2005 | 329 | 2005 |
Stochastic relational models for discriminative link prediction K Yu, W Chu, S Yu, V Tresp, Z Xu Advances in neural information processing systems 19, 2006 | 266 | 2006 |
Bayesian co-training S Yu, B Krishnapuram, H Steck, R Rao, R Rosales Advances in neural information processing systems 20, 2007 | 265 | 2007 |
Block-based web search D Cai, S Yu, JR Wen, WY Ma Proceedings of the 27th annual international ACM SIGIR conference on …, 2004 | 263 | 2004 |
Computer-Based Patient Management for Healthcare F Farooq, RE Rosales, S Yu, B Krishnapuram, BR Rao US Patent App. 13/228,497, 2012 | 262 | 2012 |
Extracting shared subspace for multi-label classification S Ji, L Tang, S Yu, J Ye Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 254 | 2008 |
Supervised probabilistic principal component analysis S Yu, K Yu, V Tresp, HP Kriegel, M Wu Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006 | 200 | 2006 |
Going digital: a survey on digitalization and large-scale data analytics in healthcare V Tresp, JM Overhage, M Bundschus, S Rabizadeh, PA Fasching, S Yu Proceedings of the IEEE 104 (11), 2180-2206, 2016 | 194 | 2016 |
Healthcare Information Technology System for Predicting and Preventing Adverse Events F Farooq, RE Rosales, S Yu, B Krishnapuram, BR Rao US Patent App. 13/153,526, 2011 | 177 | 2011 |
A shared-subspace learning framework for multi-label classification S Ji, L Tang, S Yu, J Ye ACM Transactions on Knowledge Discovery from Data (TKDD) 4 (2), 1-29, 2010 | 176 | 2010 |
Predicting readmission risk with institution-specific prediction models S Yu, F Farooq, A Van Esbroeck, G Fung, V Anand, B Krishnapuram Artificial intelligence in medicine 65 (2), 89-96, 2015 | 152 | 2015 |
Soft clustering on graphs K Yu, S Yu, V Tresp Advances in neural information processing systems 18, 2005 | 147 | 2005 |
Comparison of Bayesian network and support vector machine models for two‐year survival prediction in lung cancer patients treated with radiotherapy K Jayasurya, G Fung, S Yu, C Dehing‐Oberije, D De Ruysscher, A Hope, ... Medical physics 37 (4), 1401-1407, 2010 | 135 | 2010 |
The importance of patient characteristics for the prediction of radiation-induced lung toxicity C Dehing-Oberije, D De Ruysscher, A van Baardwijk, S Yu, B Rao, ... Radiotherapy and Oncology 91 (3), 421-426, 2009 | 129 | 2009 |