| GCI: A GPU-Based Transfer Learning Approach for Detecting Cheats of Computer Game MS Islam, B Dong, S Chandra, L Khan, B Thuraisingham IEEE Transactions on Dependable and Secure Computing 19 (2), 804-816, 2020 | 9 | 2020 |
| SACCOS: A semi-supervised framework for emerging class detection and concept drift adaption over data streams Y Gao, S Chandra, Y Li, L Khan, T Bhavani IEEE Transactions on Knowledge and Data Engineering 34 (3), 1416-1426, 2020 | 34 | 2020 |
| Multistream classification with relative density ratio estimation B Dong, Y Gao, S Chandra, L Khan Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3478-3485, 2019 | 18 | 2019 |
| Metric learning based framework for streaming classification with concept evolution Z Wang, H Tao, Z Kong, S Chandra, L Khan 2019 international joint conference on neural networks (IJCNN), 1-8, 2019 | 7 | 2019 |
| Towards self-adaptive metric learning on the fly Y Gao, YF Li, S Chandra, L Khan, B Thuraisingham The World Wide Web Conference, 503-513, 2019 | 26 | 2019 |
| Sail: A scalable wind turbine fault diagnosis platform L Khan, M Nourani Theory and Application of Reuse, Integration, and Data Science 838, 96, 2019 | 1 | 2019 |
| Robust high dimensional stream classification with novel class detection Z Wang, Z Kong, S Changra, H Tao, L Khan 2019 IEEE 35th international conference on data engineering (ICDE), 1418-1429, 2019 | 45 | 2019 |
| SAIL: A Scalable Wind Turbine Fault Diagnosis Platform: A Case Study on Gearbox Fault Diagnosis M Bahojb Imani, M Heydarzadeh, S Chandra, L Khan, M Nourani Theory and Application of Reuse, Integration, and Data Science, 96-118, 2019 | | 2019 |
| GCI: A transfer learning approach for detecting cheats of computer game B Dong, MS Islam, S Chandra, L Khan, B Thuraisingham 2018 IEEE International Conference on Big Data (Big Data), 1188-1197, 2018 | 6 | 2018 |
| Co-Representation Learning For Classification and Novel Class Detection via Deep Networks Z Wang, Z Kong, H Tao, S Chandra, L Khan arXiv preprint arXiv:1811.05141, 2018 | | 2018 |
| Automated threat report classification over multi-source data G Ayoade, S Chandra, L Khan, K Hamlen, B Thuraisingham 2018 IEEE 4th International Conference on Collaboration and Internet …, 2018 | 58 | 2018 |
| Adaptive image stream classification via convolutional neural network with intrinsic similarity metrics Y Gao, S Chandra, Z Wang, L Khan arXiv preprint arXiv:1810.03966, 2018 | 6 | 2018 |
| Scalable and secure learning with limited supervision over data streams SR Chandra | 1 | 2018 |
| BCD: Decomposing binary code into components using graph-based clustering V Karande, S Chandra, Z Lin, J Caballero, L Khan, K Hamlen Proceedings of the 2018 on Asia Conference on Computer and Communications …, 2018 | 13 | 2018 |
| A framework for multistream regression with direct density ratio estimation A Haque, H Tao, S Chandra, J Liu, L Khan Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 17 | 2018 |
| Ensemble direct density ratio estimation for multistream classification S Chandra, A Haque, H Tao, J Liu, L Khan, C Aggarwal 2018 IEEE 34th International Conference on Data Engineering (ICDE), 1364-1367, 2018 | 9 | 2018 |
| Focus location extraction from political news reports with bias correction MB Imani, S Chandra, S Ma, L Khan, B Thuraisingham 2017 IEEE International Conference on Big Data (Big Data), 1956-1964, 2017 | 26 | 2017 |
| Fusion: An online method for multistream classification A Haque, Z Wang, S Chandra, B Dong, L Khan, KW Hamlen Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 55 | 2017 |
| Secure IoT Stream Data Management and Analytics with Intel SGX S Chandra, VM Karande, LR Khan Proceedings of the 2017 Workshop on Automated Decision Making for Active …, 2017 | | 2017 |
| Efficient multistream classification using direct density ratio estimation A Haque, S Chandra, L Khan, K Hamlen, C Aggarwal 2017 IEEE 33rd International Conference on Data Engineering (ICDE), 155-158, 2017 | 8 | 2017 |
Latifur KhanProfessor, University of Texas at Dallas在 utdallas.edu 的电子邮件经过验证
