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Ankush Khandelwal
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2020 – today
- 2024
- [c24]Shaoming Xu, Ankush Khandelwal, Arvind Renganathan, Vipin Kumar:
Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling. SDM 2024: 307-315 - [c23]Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar:
Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. SDM 2024: 445-453 - [i17]Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar:
Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. CoRR abs/2401.15875 (2024) - [i16]Praveen Ravirathinam, Ankush Khandelwal, Rahul Ghosh, Vipin Kumar:
Towards a Knowledge guided Multimodal Foundation Model for Spatio-Temporal Remote Sensing Applications. CoRR abs/2407.19660 (2024) - 2023
- [c22]Praveen Ravirathinam, Rahul Ghosh, Ke Wang, Keyang Xuan, Ankush Khandelwal, Hilary Dugan, Paul C. Hanson, Vipin Kumar:
Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets. SDM 2023: 487-495 - [c21]Shaoming Xu, Ankush Khandelwal, Xiang Li, Xiaowei Jia, Licheng Liu, Jared Willard, Rahul Ghosh, Kelly Cutler, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar:
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. SDM 2023: 649-657 - [i15]Rahul Ghosh, Haoyu Yang
, Ankush Khandelwal, Erhu He, Arvind Renganathan, Somya Sharma, Xiaowei Jia, Vipin Kumar:
Entity Aware Modelling: A Survey. CoRR abs/2302.08406 (2023) - [i14]Shaoming Xu, Ankush Khandelwal, Arvind Renganathan, Vipin Kumar:
Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling. CoRR abs/2309.16882 (2023) - [i13]Arvind Renganathan, Rahul Ghosh, Ankush Khandelwal, Vipin Kumar:
Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Heterogeneous Systems. CoRR abs/2310.04727 (2023) - 2022
- [c20]Rahul Ghosh, Arvind Renganathan, Kshitij Tayal, Xiang Li, Ankush Khandelwal, Xiaowei Jia, Christopher J. Duffy, John Nieber
Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology. KDD 2022: 465-474 - [i12]Praveen Ravirathinam, Rahul Ghosh, Ke Wang, Keyang Xuan, Ankush Khandelwal, Hilary Dugan, Paul C. Hanson, Vipin Kumar:
Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets. CoRR abs/2210.07522 (2022) - [i11]Shaoming Xu, Ankush Khandelwal, Xiang Li, Xiaowei Jia, Licheng Liu, Jared Willard, Rahul Ghosh, Kelly Cutler, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar:
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. CoRR abs/2210.08347 (2022) - 2021
- [j6]Yolanda Gil
Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making. ACM Trans. Interact. Intell. Syst. 11(2): 11:1-11:49 (2021) - [c19]Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar:
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels. IEEE BigData 2021: 1625-1632 - [i10]Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar:
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels. CoRR abs/2107.12499 (2021) - [i9]Rahul Ghosh, Arvind Renganathan, Ankush Khandelwal, Xiaowei Jia, Xiang Li, John Nieber, Christopher J. Duffy, Vipin Kumar:
Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics. CoRR abs/2109.06429 (2021) - 2020
- [j5]Xiaowei Jia
Automated Plantation Mapping in Southeast Asia Using MODIS Data and Imperfect Visual Annotations. Remote. Sens. 12(4): 636 (2020) - [i8]Ankush Khandelwal, Shaoming Xu, Xiang Li, Xiaowei Jia, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar:
Physics Guided Machine Learning Methods for Hydrology. CoRR abs/2012.02854 (2020)
2010 – 2019
- 2019
- [j4]Xiaowei Jia, Ankush Khandelwal, Kimberly Carlson, James Gerber
Plantation Mapping in Southeast Asia. Frontiers Big Data 2: 46 (2019) - [c18]Xiaowei Jia, Mengdie Wang, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar:
Recurrent Generative Networks for Multi-Resolution Satellite Data: An Application in Cropland Monitoring. IJCAI 2019: 2628-2634 - [c17]Daniel Garijo, Deborah Khider, Varun Ratnakar
An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models. IUI Companion 2019: 111-112 - [c16]Xiaowei Jia, Sheng Li, Ankush Khandelwal, Guruprasad Nayak
Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection. SDM 2019: 513-521 - [c15]Xiaowei Jia, Guruprasad Nayak
Classifying Heterogeneous Sequential Data by Cyclic Domain Adaptation: An Application in Land Cover Detection. SDM 2019: 540-548 - [i7]Xiaowei Jia, Ankush Khandelwal, Vipin Kumar:
Automated Monitoring Cropland Using Remote Sensing Data: Challenges and Opportunities for Machine Learning. CoRR abs/1904.04329 (2019) - 2018
- [j3]Ankush Khandelwal, Sahil Swami, Syed Sarfaraz Akhtar, Manish Shrivastava
Gender Prediction in English-Hindi Code-Mixed Social Media Content: Corpus and Baseline System. Computación y Sistemas 22(4) (2018) - [j2]Varun Mithal, Guruprasad Nayak
Mapping Burned Areas in Tropical Forests Using a Novel Machine Learning Framework. Remote. Sens. 10(1): 69 (2018) - [c14]Ankush Khandelwal, Sahil Swami, Syed Sarfaraz Akhtar, Manish Shrivastava:
Humor Detection in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System. LREC 2018 - [i6]Sahil Swami, Ankush Khandelwal, Vinay Singh, Syed Sarfaraz Akhtar, Manish Shrivastava:
An English-Hindi Code-Mixed Corpus: Stance Annotation and Baseline System. CoRR abs/1805.11868 (2018) - [i5]Sahil Swami, Ankush Khandelwal, Vinay Singh, Syed Sarfaraz Akhtar, Manish Shrivastava:
A Corpus of English-Hindi Code-Mixed Tweets for Sarcasm Detection. CoRR abs/1805.11869 (2018) - [i4]Ankush Khandelwal, Sahil Swami, Syed Sarfaraz Akhtar, Manish Shrivastava:
Humor Detection in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System. CoRR abs/1806.05513 (2018) - [i3]Ankush Khandelwal, Sahil Swami, Syed Sarfaraz Akhtar, Manish Shrivastava:
Gender Prediction in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System. CoRR abs/1806.05600 (2018) - 2017
- [j1]Varun Mithal, Guruprasad Nayak
RAPT: Rare Class Prediction in Absence of True Labels. IEEE Trans. Knowl. Data Eng. 29(11): 2484-2497 (2017) - [c13]Xiaowei Jia, Yifan Hu, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar:
Joint sparse auto-encoder: A semi-supervised spatio-temporal approach in mapping large-scale croplands. IEEE BigData 2017: 1173-1182 - [c12]Xiaowei Jia, Ankush Khandelwal, Guruprasad Nayak
Incremental Dual-memory LSTM in Land Cover Prediction. KDD 2017: 867-876 - [c11]Xiaowei Jia, Ankush Khandelwal, Guruprasad Nayak
Predict Land Covers with Transition Modeling and Incremental Learning. SDM 2017: 171-179 - [c10]Ankush Khandelwal, Sahil Swami, Syed Sarfaraz Akhtar, Manish Shrivastava:
Classification Of Spanish Election Tweets (COSET) 2017 : Classifying Tweets Using Character and Word Level Features. IberEval@SEPLN 2017: 49-54 - [c9]Sahil Swami, Ankush Khandelwal, Manish Shrivastava, Syed Sarfaraz Akhtar:
LTRC IIITH at IBEREVAL 2017: Stance and Gender Detection in Tweets on Catalan Independence. IberEval@SEPLN 2017: 199-203 - [i2]Ankush Khandelwal, Anuj Karpatne, Vipin Kumar:
ORBIT: Ordering Based Information Transfer Across Space and Time for Global Surface Water Monitoring. CoRR abs/1711.05799 (2017) - [i1]Xiaowei Jia, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar:
Discovery of Shifting Patterns in Sequence Classification. CoRR abs/1712.07203 (2017) - 2016
- [c8]Xiaowei Jia, Ankush Khandelwal, James Gerber
Learning large-scale plantation mapping from imperfect annotators. IEEE BigData 2016: 1192-1201 - [c7]Tsuyoshi Idé
Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection. ICDM 2016: 955-960 - [p2]Anuj Karpatne, Ankush Khandelwal, Xi Chen, Varun Mithal, James H. Faghmous, Vipin Kumar:
Global Monitoring of Inland Water Dynamics: State-of-the-Art, Challenges, and Opportunities. Computational Sustainability 2016: 121-147 - 2015
- [c6]Ankush Khandelwal, Varun Mithal, Vipin Kumar:
Post Classification Label Refinement Using Implicit Ordering Constraint Among Data Instances. ICDM 2015: 799-804 - [c5]Xi C. Chen, James H. Faghmous, Ankush Khandelwal, Vipin Kumar:
Clustering Dynamic Spatio-Temporal Patterns in The Presence of Noise and Missing Data. IJCAI 2015: 2575-2581 - [c4]Anuj Karpatne, Ankush Khandelwal, Vipin Kumar:
Ensemble Learning Methods for Binary Classification with Multi-modality within the Classes. SDM 2015: 730-738 - 2014
- [c3]Anuj Karpatne, Ankush Khandelwal, Shyam Boriah, Vipin Kumar:
Predictive Learning in the Presence of Heterogeneity and Limited Training Data. SDM 2014: 253-261 - 2013
- [c2]Shyam Boriah, Ankush Khandelwal, Vipin Kumar, Varun Mithal, Karsten Steinhaeuser:
Change Detection from Temporal Sequences of Class Labels: Application to Land Cover Change Mapping. SDM 2013: 650-658 - [p1]Anuj Karpatne, James H. Faghmous, Jaya Kawale, Luke Styles, Mace Blank, Varun Mithal, Xi C. Chen, Ankush Khandelwal, Shyam Boriah, Karsten Steinhaeuser, Michael S. Steinbach
Earth Science Applications of Sensor Data. Managing and Mining Sensor Data 2013: 505-530 - 2011
- [c1]Ankush Khandelwal, K. S. Rajan:
Hyperspectral image enhancement based on sensor simulation and vector decomposition. FUSION 2011: 1-6
Coauthor Index
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last updated on 2024-10-07 22:23 CEST by the dblp team
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