Seuraa
Ankush Khandelwal
Ankush Khandelwal
Vahvistettu sähköpostiosoite verkkotunnuksessa umn.edu
Nimike
Viittaukset
Viittaukset
Vuosi
An approach for global monitoring of surface water extent variations in reservoirs using MODIS data
A Khandelwal, A Karpatne, ME Marlier, J Kim, DP Lettenmaier, V Kumar
Remote sensing of Environment 202, 113-128, 2017
1682017
An approach for global monitoring of surface water extent variations in reservoirs using MODIS data
A Khandelwal, A Karpatne, ME Marlier, J Kim, DP Lettenmaier, V Kumar
Remote Sensing of Environment, 2017
1682017
High spatiotemporal resolution of river planform dynamics from Landsat: The RivMAP toolbox and results from the Ucayali River
J Schwenk, A Khandelwal, M Fratkin, V Kumar, E Foufoula‐Georgiou
Earth and Space Science 4 (2), 46-75, 2017
1212017
Global monitoring of inland water dynamics: state-of-the-art, challenges, and opportunities
A Karpatne, A Khandelwal, X Chen, V Mithal, J Faghmous, V Kumar
Computational Sustainability, 121-147, 2016
942016
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
812017
Physics Guided Machine Learning Methods for Hydrology
A Khandelwal, S Xu, X Li, X Jia, M Stienbach, C Duffy, J Nieber, V Kumar
arXiv preprint arXiv:2012.02854, 2020
482020
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
Satellite-based remote sensing data set of global surface water storage change from 1992 to 2018
R Tortini, N Noujdina, S Yeo, M Ricko, CM Birkett, A Khandelwal, V Kumar, ...
Earth System Science Data 12 (2), 1141-1151, 2020
392020
Predictive learning in the presence of heterogeneity and limited training data
A Karpatne, A Khandelwal, S Boriah, V Kumar
Proceedings of the 2014 SIAM International Conference on Data Mining, 253-261, 2014
382014
Artificial intelligence for modeling complex systems: taming the complexity of expert models to improve decision making
Y Gil, D Garijo, D Khider, CA Knoblock, V Ratnakar, M Osorio, H Vargas, ...
ACM Transactions on Interactive Intelligent Systems 11 (2), 1-49, 2021
312021
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
Post Classification Label Refinement Using Implicit Ordering Constraint Among Data Instances
A Khandelwal, V Mithal, V Kumar
Data Mining (ICDM), 2015 IEEE International Conference on, 799-804, 2015
302015
Bringing automated, remote‐sensed, machine learning methods to monitoring crop landscapes at scale
X Jia, A Khandelwal, DJ Mulla, PG Pardey, V Kumar
Agricultural Economics 50, 41-50, 2019
282019
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
Learning large-scale plantation mapping from imperfect annotators
X Jia, A Khandelwal, J Gerber, K Carlson, P West, V Kumar
2016 IEEE International Conference on Big Data (Big Data), 1192-1201, 2016
262016
ReaLSAT, a global dataset of reservoir and lake surface area variations
A Khandelwal, A Karpatne, P Ravirathinam, R Ghosh, Z Wei, HA Dugan, ...
Scientific Data 9 (1), 1-12, 2022
252022
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
Clustering dynamic spatio-temporal patterns in the presence of noise and missing data
XC Chen, JH Faghmous, A Khandelwal, V Kumar
International Joint Conference on Artificial Intelligence, 2575-2581, 2015
252015
Regionalization in a global hydrologic deep learning model: from physical descriptors to random vectors
X Li, A Khandelwal, X Jia, K Cutler, R Ghosh, A Renganathan, S Xu, ...
Water Resources Research 58 (8), e2021WR031794, 2022
212022
Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection
T Idé, A Khandelwal, J Kalagnanam
Data Mining (ICDM), 2016 IEEE 16th International Conference on, 955-960, 2016
212016
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Artikkelit 1–20