Ankush Khandelwal

51 papers A* 6A 11B 1C 1Journal 24Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Environmental Systems. SDM Arvind Renganathan, Rahul Ghosh, Ankush Khandelwal, Vipin Kumar
2024	A	`conf`	Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. SDM Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar
2024	J	`jnl`	Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. CoRR Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar
2024	J	`jnl`	Hierarchical Conditional Multi-Task Learning for Streamflow Modeling. CoRR Shaoming Xu, Arvind Renganathan, Ankush Khandelwal, Rahul Ghosh, Xiang Li, Licheng Liu, Kshitij Tayal, Peter Harrington, Xiaowei Jia, Zhenong Jin, John Nieber, Vipin Kumar
2024	A	`conf`	Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling. SDM Shaoming Xu, Ankush Khandelwal, Arvind Renganathan, Vipin Kumar
2024	J	`jnl`	Towards a Knowledge guided Multimodal Foundation Model for Spatio-Temporal Remote Sensing Applications. CoRR Praveen Ravirathinam, Ankush Khandelwal, Rahul Ghosh, Vipin Kumar
2023	J	`jnl`	Entity Aware Modelling: A Survey. CoRR Rahul Ghosh, Haoyu Yang, Ankush Khandelwal, Erhu He, Arvind Renganathan, Somya Sharma, Xiaowei Jia, Vipin Kumar
2023	J	`jnl`	Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling. CoRR Shaoming Xu, Ankush Khandelwal, Arvind Renganathan, Vipin Kumar
2023	A	`conf`	Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. SDM 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
2023	A	`conf`	Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets. SDM Praveen Ravirathinam, Rahul Ghosh, Ke Wang, Keyang Xuan, Ankush Khandelwal, Hilary Dugan, Paul C. Hanson, Vipin Kumar
2023	J	`jnl`	Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Heterogeneous Systems. CoRR Arvind Renganathan, Rahul Ghosh, Ankush Khandelwal, Vipin Kumar
2022	J	`jnl`	Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. CoRR 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
2022	A*	`conf`	Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology. KDD Rahul Ghosh, Arvind Renganathan, Kshitij Tayal, Xiang Li, Ankush Khandelwal, Xiaowei Jia, Christopher J. Duffy, John Nieber, Vipin Kumar
2022	J	`jnl`	Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets. CoRR Praveen Ravirathinam, Rahul Ghosh, Ke Wang, Keyang Xuan, Ankush Khandelwal, Hilary Dugan, Paul C. Hanson, Vipin Kumar
2021	J	`jnl`	Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making. ACM Trans. Interact. Intell. Syst. Yolanda Gil, Daniel Garijo, Deborah Khider, Craig A. Knoblock, Varun Ratnakar, Maximiliano Osorio, Hernán Vargas, Minh Pham, Jay Pujara, Basel Shbita, Binh Vu, Yao-Yi Chiang, Dan Feldman, Yijun Lin, Hayley Song, Vipin Kumar, Ankush Khandelwal, Michael S. Steinbach, Kshitij Tayal, Shaoming Xu, Suzanne A. Pierce, Lissa Pearson, Daniel Hardesty-Lewis, Ewa Deelman, Rafael Ferreira da Silva, Rajiv Mayani, Armen R. Kemanian, Yuning Shi, Lorne Leonard, Scott D. Peckham, Maria Stoica, Kelly M. Cobourn, Zeya Zhang, Christopher J. Duffy, Lele Shu
2021	—	`conf`	CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels. IEEE BigData Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar
2021	J	`jnl`	CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels. CoRR Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar
2021	J	`jnl`	Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics. CoRR Rahul Ghosh, Arvind Renganathan, Ankush Khandelwal, Xiaowei Jia, Xiang Li, John Nieber, Christopher J. Duffy, Vipin Kumar
2020	J	`jnl`	Automated Plantation Mapping in Southeast Asia Using MODIS Data and Imperfect Visual Annotations. Remote. Sens. Xiaowei Jia, Ankush Khandelwal, Kimberly Carlson, James Gerber, Paul C. West, Leah H. Samberg, Vipin Kumar
2020	J	`jnl`	Physics Guided Machine Learning Methods for Hydrology. CoRR Ankush Khandelwal, Shaoming Xu, Xiang Li, Xiaowei Jia, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar
2019	—	`conf`	An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models. IUI Companion Daniel Garijo, Deborah Khider, Varun Ratnakar, Yolanda Gil, Ewa Deelman, Rafael Ferreira da Silva, Craig A. Knoblock, Yao-Yi Chiang, Minh Pham, Jay Pujara, Binh Vu, Dan Feldman, Rajiv Mayani, Kelly M. Cobourn, Christopher J. Duffy, Armen R. Kemanian, Lele Shu, Vipin Kumar, Ankush Khandelwal, Kshitij Tayal, Scott D. Peckham, Maria Stoica, Anna Dabrowski, Daniel Hardesty-Lewis, Suzanne A. Pierce
2019	J	`jnl`	Automated Monitoring Cropland Using Remote Sensing Data: Challenges and Opportunities for Machine Learning. CoRR Xiaowei Jia, Ankush Khandelwal, Vipin Kumar
2019	A	`conf`	Classifying Heterogeneous Sequential Data by Cyclic Domain Adaptation: An Application in Land Cover Detection. SDM Xiaowei Jia, Guruprasad Nayak, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar
2019	J	`jnl`	Plantation Mapping in Southeast Asia. Frontiers Big Data Xiaowei Jia, Ankush Khandelwal, Kimberly Carlson, James Gerber, Paul C. West, Vipin Kumar
2019	A*	`conf`	Recurrent Generative Networks for Multi-Resolution Satellite Data: An Application in Cropland Monitoring. IJCAI Xiaowei Jia, Mengdie Wang, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar
2019	A	`conf`	Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection. SDM Xiaowei Jia, Sheng Li, Ankush Khandelwal, Guruprasad Nayak, Anuj Karpatne, Vipin Kumar
2018	J	`jnl`	A Corpus of English-Hindi Code-Mixed Tweets for Sarcasm Detection. CoRR Sahil Swami, Ankush Khandelwal, Vinay Singh, Syed Sarfaraz Akhtar, Manish Shrivastava
2018	J	`jnl`	An English-Hindi Code-Mixed Corpus: Stance Annotation and Baseline System. CoRR Sahil Swami, Ankush Khandelwal, Vinay Singh, Syed Sarfaraz Akhtar, Manish Shrivastava
2018	J	`jnl`	Gender Prediction in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System. CoRR Ankush Khandelwal, Sahil Swami, Syed Sarfaraz Akhtar, Manish Shrivastava
2018	J	`jnl`	Gender Prediction in English-Hindi Code-Mixed Social Media Content: Corpus and Baseline System. Computación y Sistemas Ankush Khandelwal, Sahil Swami, Syed Sarfaraz Akhtar, Manish Shrivastava
2018	B	`conf`	Humor Detection in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System. LREC Ankush Khandelwal, Sahil Swami, Syed Sarfaraz Akhtar, Manish Shrivastava
2018	J	`jnl`	Humor Detection in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System. CoRR Ankush Khandelwal, Sahil Swami, Syed Sarfaraz Akhtar, Manish Shrivastava
2018	J	`jnl`	Mapping Burned Areas in Tropical Forests Using a Novel Machine Learning Framework. Remote. Sens. Varun Mithal, Guruprasad Nayak, Ankush Khandelwal, Vipin Kumar, Ramakrishna R. Nemani, Nikunj C. Oza
2017	—	`conf`	Classification Of Spanish Election Tweets (COSET) 2017 : Classifying Tweets Using Character and Word Level Features. IberEval@SEPLN Ankush Khandelwal, Sahil Swami, Syed Sarfaraz Akhtar, Manish Shrivastava
2017	J	`jnl`	Discovery of Shifting Patterns in Sequence Classification. CoRR Xiaowei Jia, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar
2017	A*	`conf`	Incremental Dual-memory LSTM in Land Cover Prediction. KDD Xiaowei Jia, Ankush Khandelwal, Guruprasad Nayak, James Gerber, Kimberly Carlson, Paul C. West, Vipin Kumar
2017	—	`conf`	Joint sparse auto-encoder: A semi-supervised spatio-temporal approach in mapping large-scale croplands. IEEE BigData Xiaowei Jia, Yifan Hu, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar
2017	—	`conf`	LTRC IIITH at IBEREVAL 2017: Stance and Gender Detection in Tweets on Catalan Independence. IberEval@SEPLN Sahil Swami, Ankush Khandelwal, Manish Shrivastava, Syed Sarfaraz Akhtar
2017	J	`jnl`	ORBIT: Ordering Based Information Transfer Across Space and Time for Global Surface Water Monitoring. CoRR Ankush Khandelwal, Anuj Karpatne, Vipin Kumar
2017	A	`conf`	Predict Land Covers with Transition Modeling and Incremental Learning. SDM Xiaowei Jia, Ankush Khandelwal, Guruprasad Nayak, James Gerber, Kimberly Carlson, Paul C. West, Vipin Kumar
2017	J	`jnl`	RAPT: Rare Class Prediction in Absence of True Labels. IEEE Trans. Knowl. Data Eng. Varun Mithal, Guruprasad Nayak, Ankush Khandelwal, Vipin Kumar, Nikunj C. Oza, Ramakrishna R. Nemani
2016	—	`ch.`	Global Monitoring of Inland Water Dynamics: State-of-the-Art, Challenges, and Opportunities. Computational Sustainability Anuj Karpatne, Ankush Khandelwal, Xi Chen, Varun Mithal, James H. Faghmous, Vipin Kumar
2016	—	`conf`	Learning large-scale plantation mapping from imperfect annotators. IEEE BigData Xiaowei Jia, Ankush Khandelwal, James Gerber, Kimberly Carlson, Paul C. West, Vipin Kumar
2016	A*	`conf`	Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection. ICDM Tsuyoshi Idé, Ankush Khandelwal, Jayant Kalagnanam
2015	A*	`conf`	Clustering Dynamic Spatio-Temporal Patterns in The Presence of Noise and Missing Data. IJCAI Xi C. Chen, James H. Faghmous, Ankush Khandelwal, Vipin Kumar
2015	A	`conf`	Ensemble Learning Methods for Binary Classification with Multi-modality within the Classes. SDM Anuj Karpatne, Ankush Khandelwal, Vipin Kumar
2015	A*	`conf`	Post Classification Label Refinement Using Implicit Ordering Constraint Among Data Instances. ICDM Ankush Khandelwal, Varun Mithal, Vipin Kumar
2014	A	`conf`	Predictive Learning in the Presence of Heterogeneity and Limited Training Data. SDM Anuj Karpatne, Ankush Khandelwal, Shyam Boriah, Vipin Kumar
2013	A	`conf`	Change Detection from Temporal Sequences of Class Labels: Application to Land Cover Change Mapping. SDM Shyam Boriah, Ankush Khandelwal, Vipin Kumar, Varun Mithal, Karsten Steinhaeuser
2013	—	`ch.`	Earth Science Applications of Sensor Data. Managing and Mining Sensor Data Anuj Karpatne, James H. Faghmous, Jaya Kawale, Luke Styles, Mace Blank, Varun Mithal, Xi Chen, Ankush Khandelwal, Shyam Boriah, Karsten Steinhaeuser, Michael S. Steinbach, Vipin Kumar, Stefan Liess
2011	C	`conf`	Hyperspectral image enhancement based on sensor simulation and vector decomposition. FUSION Ankush Khandelwal, K. S. Rajan