| Deep learning for anomaly detection: A survey R Chalapathy, S Chawla arXiv preprint arXiv:1901.03407, 2019 | 2766 | 2019 |
| Spatial databases S Shekhar Pearson Education India, 2007 | 1292 | 2007 |
| Anomaly detection using one-class neural networks R Chalapathy, AK Menon, S Chawla arXiv preprint arXiv:1802.06360, 2018 | 667 | 2018 |
| Discovering spatio-temporal causal interactions in traffic data streams W Liu, Y Zheng, S Chawla, J Yuan, X Xing Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 511 | 2011 |
| Roadtracer: Automatic extraction of road networks from aerial images F Bastani, S He, S Abbar, M Alizadeh, H Balakrishnan, S Chawla, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 441 | 2018 |
| k-means–: A unified approach to clustering and outlier detection S Chawla, A Gionis Proceedings of the 2013 SIAM international conference on data mining, 189-197, 2013 | 371 | 2013 |
| Spatial databases-accomplishments and research needs S Shekhar, S Chawla, S Ravada, A Fetterer, X Liu, C Lu IEEE transactions on knowledge and data engineering 11 (1), 45-55, 1999 | 354 | 1999 |
| Interpretable scientific discovery with symbolic regression: a review N Makke, S Chawla Artificial Intelligence Review 57 (1), 2, 2024 | 301 | 2024 |
| Inferring the root cause in road traffic anomalies S Chawla, Y Zheng, J Hu 2012 IEEE 12th International Conference on Data Mining, 141-150, 2012 | 262 | 2012 |
| Spatial contextual classification and prediction models for mining geospatial data S Shekhar, PR Schrater, RR Vatsavai, W Wu, S Chawla IEEE Transactions on Multimedia 4 (2), 174-188, 2002 | 252 | 2002 |
| Sparsedtw: A novel approach to speed up dynamic time warping G Al-Naymat, S Chawla, J Taheri arXiv preprint arXiv:1201.2969, 2012 | 246 | 2012 |
| Efficient Thompson Sampling for Online Matrix-Factorization Recommendation J Kawale, HH Bui, B Kveton, L Tran-Thanh, S Chawla Advances in neural information processing systems 28, 2015 | 239 | 2015 |
| Robust, deep and inductive anomaly detection R Chalapathy, AK Menon, S Chawla Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017 | 232 | 2017 |
| A robust decision tree algorithm for imbalanced data sets W Liu, S Chawla, DA Cieslak, NV Chawla Proceedings of the 2010 SIAM International Conference on Data Mining, 766-777, 2010 | 228 | 2010 |
| Class Confidence Weighted kNN Algorithms for Imbalanced Data Sets W Liu, S Chawla Pacific-Asia conference on knowledge discovery and data mining, 345-356, 2011 | 220 | 2011 |
| SLOM: a new measure for local spatial outliers S Chawla, P Sun Knowledge and Information Systems 9 (4), 412-429, 2006 | 212 | 2006 |
| Mining for outliers in sequential databases P Sun, S Chawla, B Arunasalam Proceedings of the 2006 SIAM international conference on data mining, 94-105, 2006 | 198 | 2006 |
| On detection of emerging anomalous traffic patterns using GPS data LX Pang, S Chawla, W Liu, Y Zheng Data & Knowledge Engineering 87, 357-373, 2013 | 187 | 2013 |
| Deep learning for anomaly detection: A survey. arXiv 2019 R Chalapathy, S Chawla arXiv preprint arXiv:1901.03407, 2019 | 177 | 2019 |
| On local spatial outliers P Sun, S Chawla Fourth IEEE International Conference on Data Mining (ICDM'04), 209-216, 2004 | 177 | 2004 |
Shashi ShekharMcKnight Distinguished University Professor of Computer Science, University of MinnesotaVerified email at umn.edu
