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Guruprasad Nayak
Guruprasad Nayak
Applied Scientist, Amazon
Verified email at amazon.com - Homepage
Title
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Cited by
Year
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
792017
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
412018
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
302017
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
272019
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
252017
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
152019
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
142019
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
132020
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
122018
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
42014
Learning with weak supervision for land cover mapping problems
G Nayak
University of Minnesota, 2020
32020
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
32019
Automated Knowledge Hierarchy Assessment
G Nayak, S Dutta, PK Nicholson, D Ajwani, A Sala
ProfS/KG4IR/Data:Search@SIGIR 2018, 59-60, 2018
32018
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
32015
Mapping burned areas in tropical forests using modis data
V Mithal, G Nayak, A Khandelwal, V Kumar, R Nemani, NC Oza
22016
Multiple Instance Learning for bags with Ordered instances
G Nayak, V Mithal, V Kumar
12017
Deep layers beware: Unraveling the surprising benefits of JPEG compression for image classification pre-processing
G Nayak, G Friedland
25th IEEE International Symposium on Multimedia, 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
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