| Toward integrating feature selection algorithms for classification and clustering H Liu, L Yu IEEE Transactions on knowledge and data engineering 17 (4), 491-502, 2005 | 3861 | 2005 |
| Feature selection for high-dimensional data: A fast correlation-based filter solution L Yu, H Liu Proceedings of the 20th international conference on machine learning (ICML …, 2003 | 3820 | 2003 |
| Efficient feature selection via analysis of relevance and redundancy L Yu, H Liu Journal of machine learning research 5 (Oct), 1205-1224, 2004 | 3095 | 2004 |
| A hybrid collaborative filtering model with deep structure for recommender systems X Dong, L Yu, Z Wu, Y Sun, L Yuan, F Zhang Proceedings of the AAAI Conference on artificial intelligence 31 (1), 2017 | 374 | 2017 |
| Redundancy based feature selection for microarray data L Yu, H Liu Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004 | 332 | 2004 |
| Evolving feature selection H Liu, ER Dougherty, JG Dy, K Torkkola, E Tuv, H Peng, C Ding, F Long, ... IEEE Intelligent systems 20 (6), 64-76, 2005 | 301 | 2005 |
| Stable feature selection via dense feature groups L Yu, C Ding, S Loscalzo Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 232 | 2008 |
| A selective sampling approach to active feature selection H Liu, H Motoda, L Yu Artificial Intelligence 159 (1-2), 49-74, 2004 | 230 | 2004 |
| Fast Correlation Based Filter (FCBF) with a different search strategy B Senliol, G Gulgezen, L Yu, Z Cataltepe 2008 23rd international symposium on computer and information sciences, 1-4, 2008 | 192 | 2008 |
| Consensus group stable feature selection S Loscalzo, L Yu, C Ding Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 190 | 2009 |
| Feature selection with selective sampling H Liu, H Motoda, L Yu Proceedings of the Nineteenth International Conference on Machine Learning …, 2002 | 145 | 2002 |
| Stable gene selection from microarray data via sample weighting L Yu, Y Han, ME Berens IEEE/ACM Transactions on Computational Biology and Bioinformatics 9 (1), 262-272, 2011 | 139 | 2011 |
| Efficiently handling feature redundancy in high-dimensional data L Yu, H Liu Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003 | 122 | 2003 |
| RHMD: Evasion-resilient hardware malware detectors KN Khasawneh, N Abu-Ghazaleh, D Ponomarev, L Yu Proceedings of the 50th Annual IEEE/ACM international symposium on …, 2017 | 96 | 2017 |
| A variance reduction framework for stable feature selection Y Han, L Yu Data Mining (ICDM), 2010 IEEE 10th International Conference on, 206-215, 2010 | 94 | 2010 |
| Stable and accurate feature selection G Gulgezen, Z Cataltepe, L Yu Joint European conference on machine learning and knowledge discovery in …, 2009 | 85 | 2009 |
| Approximate value iteration with complex returns by bounding R Wright, L Yu, S Loscalzo US Patent 10,839,302, 2020 | 71 | 2020 |
| Active feature selection using classes H Liu, L Yu, M Dash, H Motoda Advances in Knowledge Discovery and Data Mining, 569-569, 2003 | 37 | 2003 |
| Landscape of microsatellite instability across 39 cancer types. JCO Precis Oncol. 2017; 2017: PO. 17.00073 R Bonneville, MA Krook, EA Kautto, J Miya, MR Wing, HZ Chen, ... Annals of Translational Medicine. All rights reserved. http://dx. doi. org …, 0 | 36 | |
| Using visual features for fine-grained genre classification of web pages R Levering, M Cutler, L Yu Proceedings of the 41st Annual Hawaii International Conference on System …, 2008 | 34 | 2008 |
