| Cloud detection algorithm for multi-modal satellite imagery using convolutional neural-networks (CNN) M Segal-Rozenhaimer, A Li, K Das, V Chirayath Remote Sensing of Environment 237, 111446, 2020 | 173 | 2020 |
| Discovering anomalous aviation safety events using scalable data mining algorithms B Matthews, S Das, K Bhaduri, K Das, R Martin, N Oza Journal of Aerospace Information Systems 10 (10), 467-475, 2013 | 101 | 2013 |
| Multi-party, privacy-preserving distributed data mining using a game theoretic framework H Kargupta, K Das, K Liu Knowledge Discovery in Databases: PKDD 2007: 11th European Conference on …, 2007 | 98 | 2007 |
| Localizing anomalous changes in time-evolving graphs K Sricharan, K Das Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 96 | 2014 |
| Privacy-preserving data analysis on graphs and social networks K Liu, K Das, T Grandison, H Kargupta Next Generation Data Mining. CRC Press, 2008 | 85 | 2008 |
| Client-side web mining for community formation in peer-to-peer environments K Liu, K Bhaduri, K Das, P Nguyen, H Kargupta ACM SIGKDD Explorations Newsletter 8 (2), 11-20, 2006 | 61 | 2006 |
| A local asynchronous distributed privacy preserving feature selection algorithm for large peer-to-peer networks K Das, K Bhaduri, H Kargupta Knowledge and information systems 24, 341-367, 2010 | 54 | 2010 |
| SAC3: Reliable hallucination detection in black-box language models via semantic-aware cross-check consistency J Zhang, KD Li, Zhuohang Findings of the Association for Computational Linguistics: EMNLP, 15445-15458, 2023 | 42* | 2023 |
| Detecting abnormal machine characteristics in cloud infrastructures K Bhaduri, K Das, BL Matthews 2011 IEEE 11th International Conference on Data Mining Workshops, 137-144, 2011 | 40 | 2011 |
| Distributed identification of top-l inner product elements and its application in a peer-to-peer network K Das, K Bhaduri, K Liu, H Kargupta IEEE Transactions on Knowledge and Data Engineering 20 (4), 475-488, 2008 | 39 | 2008 |
| Distributed anomaly detection using 1‐class SVM for vertically partitioned data K Das, K Bhaduri, P Votava Statistical Analysis and Data Mining: The ASA Data Science Journal 4 (4 …, 2011 | 35 | 2011 |
| Block-GP: Scalable Gaussian process regression for multimodal data K Das, AN Srivastava 2010 IEEE International Conference on Data Mining, 791-796, 2010 | 31 | 2010 |
| A game theoretic approach toward multi-party privacy-preserving distributed data mining H Kargupta, K Das, K Liu Proceedings of the PKDD, 2007 | 31 | 2007 |
| Active learning with rationales for identifying operationally significant anomalies in aviation M Sharma, K Das, M Bilgic, B Matthews, D Nielsen, N Oza Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016 | 30 | 2016 |
| PerCCS: person-count from carbon dioxide using sparse non-negative matrix factorization C Basu, C Koehler, K Das, AK Dey Proceedings of the 2015 ACM International Joint Conference on Pervasive and …, 2015 | 25 | 2015 |
| Anomaly detection in vertically partitioned data by distributed core vector machines M Stolpe, K Bhaduri, K Das, K Morik Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013 | 25 | 2013 |
| Scalable distributed change detection from astronomy data streams using local, asynchronous eigen monitoring algorithms K Das, K Bhaduri, S Arora, W Griffin, K Borne, C Giannella, H Kargupta Proceedings of the 2009 SIAM International Conference on Data Mining, 247-258, 2009 | 25 | 2009 |
| Distributed Data Mining Bibliography K Bhaduri, K Das, K Liu, H Kargupta, J Ryan Distributed Data Mining Bibliography, 2011 | 24 | 2011 |
| Distributed support vector machines: An overview M Stolpe, K Bhaduri, K Das Solving Large Scale Learning Tasks. Challenges and Algorithms: Essays …, 2016 | 20 | 2016 |
| SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models X Gao, J Zhang, L Mouatadid, K Das arXiv preprint arXiv:2403.02509, 2024 | 17 | 2024 |
Hillol KarguptaProfessor of Computer Science & Electrical Engineering, University of Maryland, Baltimore CountyVerified email at cs.umbc.edu
