| Sand: Semi-supervised adaptive novel class detection and classification over data stream A Haque, L Khan, M Baron Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 177 | 2016 |
| Efficient handling of concept drift and concept evolution over stream data A Haque, L Khan, M Baron, B Thuraisingham, C Aggarwal 2016 IEEE 32nd International Conference on Data Engineering (ICDE), 481-492, 2016 | 128 | 2016 |
| An adaptive framework for multistream classification S Chandra, A Haque, L Khan, C Aggarwal Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 47 | 2016 |
| 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 | 44 | 2017 |
| Semi supervised adaptive framework for classifying evolving data stream A Haque, L Khan, M Baron Advances in Knowledge Discovery and Data Mining: 19th Pacific-Asia …, 2015 | 31 | 2015 |
| Labeling instances in evolving data streams with mapreduce A Haque, B Parker, L Khan 2013 IEEE International Congress on Big Data, 387-394, 2013 | 23 | 2013 |
| 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 | 16 | 2018 |
| Evolving big data stream classification with mapreduce A Haque, B Parker, L Khan, B Thuraisingham 2014 IEEE 7th International Conference on Cloud Computing, 570-577, 2014 | 15 | 2014 |
| Multistream regression with asynchronous concept drift detection B Dong, Y Li, Y Gao, A Haque, L Khan, MM Masud 2017 IEEE International Conference on Big Data (Big Data), 596-605, 2017 | 12 | 2017 |
| Efficient sampling-based kernel mean matching S Chandra, A Haque, L Khan, C Aggarwal 2016 IEEE 16th International Conference on Data Mining (ICDM), 811-816, 2016 | 12 | 2016 |
| Distributed adaptive importance sampling on graphical models using mapreduce A Haque, S Chandra, L Khan, C Aggarwal 2014 IEEE International Conference on Big Data (Big Data), 597-602, 2014 | 12 | 2014 |
| 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 |
| 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 |
| Evolving stream classification using change detection A Mustafa, A Haque, L Khan, M Baron, B Thuraisingham 10th IEEE International Conference on Collaborative Computing: Networking …, 2014 | 8 | 2014 |
| Sampling-based distributed kernel mean matching using spark A Haque, Z Wang, S Chandra, Y Gao, L Khan, C Aggarwal 2016 IEEE International Conference on Big Data (Big Data), 462-471, 2016 | 7 | 2016 |
| Intelligent mapreduce based framework for labeling instances in evolving data stream A Haque, B Parker, L Khan, B Thuraisingham 2013 IEEE 5th International Conference on Cloud Computing Technology and …, 2013 | 7 | 2013 |
| Role of Oral Clonidine Premedication on Intra-operative Haemodynamics and PONV in Laparoscopic Cholecystectomy. M Masud, S Yeasmeen, AK Haque, S Jahan, NC Saha, D Banik Mymensingh Medical Journal: MMJ 26 (4), 913-920, 2017 | 5 | 2017 |
| Mapreduce guided approximate inference over graphical models A Haque, S Chandra, L Khan, M Baron 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM …, 2014 | 2 | 2014 |
| Semi-supervised Adaptive Classification over Data Streams A Haque | | 2017 |
| Adaptive Framework for Classification and Novel Class Detection over Evolving Data Streams with Limited Labeled Data. A Haque, L Khan, M Baron, JB Ingram Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2015 | | 2015 |
Michael BaronDavid Carroll Professor of Mathematics and Statistics, American UniversityVerified email at american.edu
