| Personalized real-time recommendation system R Subba, D Yankov, P Berkhin, SW Macbeth, ZC Jiang, B Dumoulin US Patent App. 13/730,815, 2014 | 277 | 2014 |
| Disk aware discord discovery: Finding unusual time series in terabyte sized datasets D Yankov, E Keogh, U Rebbapragada Knowledge and Information Systems 17, 241-262, 2008 | 250 | 2008 |
| Detecting time series motifs under uniform scaling D Yankov, E Keogh, J Medina, B Chiu, V Zordan Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007 | 245 | 2007 |
| Multi-result ranking exploration PY Berkhin, DD Yankov, L Li US Patent App. 15/135,163, 2017 | 105 | 2017 |
| Ensembles of nearest neighbor forecasts D Yankov, D DeCoste, E Keogh European conference on machine learning, 545-556, 2006 | 61 | 2006 |
| Manifold clustering of shapes D Yankov, E Keogh Sixth International Conference on Data Mining (ICDM'06), 1167-1171, 2006 | 55 | 2006 |
| System for training classifiers in multiple categories through active learning D Yankov, S Rajan, A Ratnaparkhi, RG Parekh US Patent 8,498,950, 2013 | 41 | 2013 |
| Scoring clicks for click fraud prevention A Bagherjeiran, NE Mayoraz, D Yankov, R Parekh US Patent App. 12/240,675, 2010 | 36 | 2010 |
| Evaluation of explore-exploit policies in multi-result ranking systems D Yankov, P Berkhin, L Li arXiv preprint arXiv:1504.07662, 2015 | 27 | 2015 |
| Dot plots for time series analysis D Yankov, E Keogh, S Lonardi 17th IEEE International Conference on Tools with Artificial Intelligence …, 2005 | 25 | 2005 |
| Fast best-match shape searching in rotation-invariant metric spaces D Yankov, E Keogh, L Wei, X Xi, W Hodges IEEE Transactions on multimedia 10 (2), 230-239, 2008 | 22 | 2008 |
| A large-scale active learning system for topical categorization on the web S Rajan, D Yankov, SJ Gaffney, A Ratnaparkhi Proceedings of the 19th international conference on World wide web, 791-800, 2010 | 20 | 2010 |
| Tagging address queries in maps search S Mokhtari, A Mahmoody, D Yankov, N Xie Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9547-9551, 2019 | 17 | 2019 |
| A new approach to geocoding: BingGC P Berkhin, MR Evans, F Teodorescu, W Wu, D Yankov Proceedings of the 23rd SIGSPATIAL International Conference on Advances in …, 2015 | 17 | 2015 |
| Locally constrained support vector clustering D Yankov, E Keogh, KF Kan Seventh IEEE International Conference on Data Mining (ICDM 2007), 715-720, 2007 | 17 | 2007 |
| Categorization of display ads using image and landing page features A Kae, K Kan, VK Narayanan, D Yankov Proceedings of the Third Workshop on Large Scale Data Mining: Theory and …, 2011 | 16 | 2011 |
| Interoperability ranking for mobile applications D Yankov, P Berkhin, R Subba Proceedings of the 36th international ACM SIGIR conference on research and …, 2013 | 15 | 2013 |
| Scaling address parsing sequence models through active learning H Craig, D Yankov, R Wang, P Berkhin, W Wu Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances …, 2019 | 14 | 2019 |
| Classification and cluster analysis spam detection and reduction WEI Stanley, X Xi, VT Ramarao, D Yankov US Patent 7,809,824, 2010 | 9 | 2010 |
| Map GPT playground: smart locations and routes with GPT C Zhang, A Karatzoglou, H Craig, D Yankov Proceedings of the 31st ACM International Conference on Advances in …, 2023 | 7 | 2023 |
