Incremental dual-memory lstm in land cover prediction X Jia, A Khandelwal, G Nayak, J Gerber, K Carlson, P West, V Kumar Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 81 | 2017 |
Mapping burned areas in tropical forests using a novel machine learning framework V Mithal, G Nayak, A Khandelwal, V Kumar, R Nemani, NC Oza Remote Sensing 10 (1), 69, 2018 | 41 | 2018 |
Predict land covers with transition modeling and incremental learning X Jia, A Khandelwal, G Nayak, J Gerber, K Carlson, P West, V Kumar Proceedings of the 2017 SIAM International Conference on Data Mining, 171-179, 2017 | 30 | 2017 |
Spatial context-aware networks for mining temporal discriminative period in land cover detection X Jia, S Li, A Khandelwal, G Nayak, A Karpatne, V Kumar Proceedings of the 2019 SIAM International Conference on Data Mining, 513-521, 2019 | 27 | 2019 |
RAPT: Rare class prediction in absence of true labels V Mithal, G Nayak, A Khandelwal, V Kumar, NC Oza, R Nemani IEEE Transactions on Knowledge and Data Engineering 29 (11), 2484-2497, 2017 | 25 | 2017 |
Classifying heterogeneous sequential data by cyclic domain adaptation: An application in land cover detection X Jia, G Nayak, A Khandelwal, A Karpatne, V Kumar Proceedings of the 2019 SIAM International Conference on Data Mining, 540-548, 2019 | 17 | 2019 |
Automated assessment of knowledge hierarchy evolution: Comparing directed acyclic graphs G Nayak, S Dutta, D Ajwani, P Nicholson, A Sala Information Retrieval Journal 22 (3-4), 256-284, 2019 | 14 | 2019 |
Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data G Nayak, R Ghosh, X Jia, V Mithal, V Kumar Proceedings of the 2020 SIAM International Conference on Data Mining, 253-261, 2020 | 13 | 2020 |
Classifying multivariate time series by learning sequence-level discriminative patterns G Nayak, V Mithal, X Jia, V Kumar Proceedings of the 2018 SIAM International Conference on Data Mining, 252-260, 2018 | 12 | 2018 |
A spatio-temporal data mining approach to global scale burned area monitoring V Mithal, A Khandelwal, G Nayak, V Kumar, RR Nemani, N Oza AGU Fall Meeting Abstracts 2014, IN53A-3786, 2014 | 4 | 2014 |
Learning with weak supervision for land cover mapping problems G Nayak University of Minnesota, 2020 | 3 | 2020 |
Spatio-temporal classification at multiple resolutions using multi-view regularization G Nayak, R Ghosh, X Jia, V Mithal, V Kumar 2019 IEEE International Conference on Big Data (Big Data), 4117-4120, 2019 | 3 | 2019 |
Automated Knowledge Hierarchy Assessment G Nayak, S Dutta, PK Nicholson, D Ajwani, A Sala ProfS/KG4IR/Data:Search@SIGIR 2018, 59-60, 2018 | 3 | 2018 |
Global monitoring of tropical forest fires using a new predictive modeling approach for rare classes V Mithal, G Nayak, A Khandelwal, V Kumar, N Oza, RR Nemani AGU Fall Meeting Abstracts 2015, IN53B-1844, 2015 | 3 | 2015 |
Mapping burned areas in tropical forests using modis data V Mithal, G Nayak, A Khandelwal, V Kumar, R Nemani, NC Oza | 2 | 2016 |
Multiple Instance Learning for bags with Ordered instances G Nayak, V Mithal, V Kumar | 1 | 2017 |
Deep Layers Beware: Unraveling the Surprising Benefits of JPEG Compression for Image Classification Pre-processing G Nayak, G Friedland 2023 IEEE International Symposium on Multimedia (ISM), 182-185, 2023 | | 2023 |
Weakly Supervised Classification Using Group-Level Labels G Nayak, R Ghosh, X Jia, V Kumar International Workshop on Data-Efficient Machine Learning, KDD 2021, 2021 | | 2021 |
Classification of highly-skewed data V Kumar, V Mithal, G Nayak, A Khandelwal US Patent 10,776,713, 2020 | | 2020 |
Integrating Parallel and Distributed Data Mining Algorithms into the NASA Earth Exchange (NEX) N Oza, V Kumar, RR Nemani, S Boriah, K Das, A Khandelwal, B Matthews, ... AGU Fall Meeting Abstracts 2014, IN53A-3794, 2014 | | 2014 |