Ankush Khandelwal

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 41

Top Topics

Social Media Content

Sequence Classification

Machine Learning

Top Venues

Publications

Shaoming Xu, Ankush Khandelwal, Arvind Renganathan, Vipin Kumar
Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling. SDM (2024)
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)
Praveen Ravirathinam, Ankush Khandelwal, Rahul Ghosh, Vipin Kumar
Towards a Knowledge guided Multimodal Foundation Model for Spatio-Temporal Remote Sensing Applications. CoRR (2024)
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 (2024)
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)
Rahul Ghosh, Haoyu Yang, Ankush Khandelwal, Erhu He, Arvind Renganathan, Somya Sharma, Xiaowei Jia, Vipin Kumar
Entity Aware Modelling: A Survey. CoRR (2023)
Arvind Renganathan, Rahul Ghosh, Ankush Khandelwal, Vipin Kumar
Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Heterogeneous Systems. CoRR (2023)
Shaoming Xu, Ankush Khandelwal, Arvind Renganathan, Vipin Kumar
Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling. CoRR (2023)
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)
Rahul Ghosh, Arvind Renganathan, Kshitij Tayal, Xiang Li, Ankush Khandelwal, Xiaowei Jia, Christopher J. Duffy, John Nieber, Vipin Kumar
Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology. KDD (2022)
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 (2022)
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 (2022)
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)
Rahul Ghosh, Arvind Renganathan, Ankush Khandelwal, Xiaowei Jia, Xiang Li, John Neiber, Chris Duffy, Vipin Kumar
Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics. CoRR (2021)
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 (2021)
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
Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making. ACM Trans. Interact. Intell. Syst. 11 (2) (2021)
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 (2020)
Xiaowei Jia, Ankush Khandelwal, Kimberly Carlson, James Gerber, Paul C. West, Leah H. Samberg, Vipin Kumar
Automated Plantation Mapping in Southeast Asia Using MODIS Data and Imperfect Visual Annotations. Remote. Sens. 12 (4) (2020)
Xiaowei Jia, Guruprasad Nayak, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar
Classifying Heterogeneous Sequential Data by Cyclic Domain Adaptation: An Application in Land Cover Detection. SDM (2019)
Xiaowei Jia, Sheng Li, Ankush Khandelwal, Guruprasad Nayak, Anuj Karpatne, Vipin Kumar
Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection. SDM (2019)
Xiaowei Jia, Ankush Khandelwal, Kimberly Carlson, James Gerber, Paul C. West, Vipin Kumar
Plantation Mapping in Southeast Asia. Frontiers Big Data 2 (2019)
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
An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models. IUI Companion (2019)
Xiaowei Jia, Ankush Khandelwal, Vipin Kumar
Automated Monitoring Cropland Using Remote Sensing Data: Challenges and Opportunities for Machine Learning. CoRR (2019)
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)
Ankush Khandelwal, Sahil Swami, Syed Sarfaraz Akhtar, Manish Shrivastava
Humor Detection in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System. CoRR (2018)
Varun Mithal, Guruprasad Nayak, Ankush Khandelwal, Vipin Kumar, Ramakrishna R. Nemani, Nikunj C. Oza
Mapping Burned Areas in Tropical Forests Using a Novel Machine Learning Framework. Remote. Sens. 10 (1) (2018)
Sahil Swami, Ankush Khandelwal, Vinay Singh, Syed Sarfaraz Akhtar, Manish Shrivastava
An English-Hindi Code-Mixed Corpus: Stance Annotation and Baseline System. CoRR (2018)
Sahil Swami, Ankush Khandelwal, Vinay Singh, Syed Sarfaraz Akhtar, Manish Shrivastava
A Corpus of English-Hindi Code-Mixed Tweets for Sarcasm Detection. CoRR (2018)
Ankush Khandelwal, Sahil Swami, Syed Sarfaraz Akhtar, Manish Shrivastava
Gender Prediction in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System. CoRR (2018)
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)
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)
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)
Xiaowei Jia, Ankush Khandelwal, Guruprasad Nayak, James Gerber, Kimberly Carlson, Paul C. West, Vipin Kumar
Predict Land Covers with Transition Modeling and Incremental Learning. SDM (2017)
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)
Xiaowei Jia, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar
Discovery of Shifting Patterns in Sequence Classification. CoRR (2017)
Varun Mithal, Guruprasad Nayak, Ankush Khandelwal, Vipin Kumar, Nikunj C. Oza, Ramakrishna R. Nemani
RAPT: Rare Class Prediction in Absence of True Labels. IEEE Trans. Knowl. Data Eng. 29 (11) (2017)
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)
Xiaowei Jia, Ankush Khandelwal, Guruprasad Nayak, James Gerber, Kimberly Carlson, Paul C. West, Vipin Kumar
Incremental Dual-memory LSTM in Land Cover Prediction. KDD (2017)
Ankush Khandelwal, Anuj Karpatne, Vipin Kumar
ORBIT: Ordering Based Information Transfer Across Space and Time for Global Surface Water Monitoring. CoRR (2017)
Xiaowei Jia, Ankush Khandelwal, James Gerber, Kimberly Carlson, Paul C. West, Vipin Kumar
Learning large-scale plantation mapping from imperfect annotators. IEEE BigData (2016)
Tsuyoshi Idé, Ankush Khandelwal, Jayant Kalagnanam
Sparse Gaussian Markov Random Field Mixtures for Anomaly Detection. ICDM (2016)
Ankush Khandelwal, Varun Mithal, Vipin Kumar
Post Classification Label Refinement Using Implicit Ordering Constraint Among Data Instances. ICDM (2015)
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)
Anuj Karpatne, Ankush Khandelwal, Vipin Kumar
Ensemble Learning Methods for Binary Classification with Multi-modality within the Classes. SDM (2015)
Anuj Karpatne, Ankush Khandelwal, Shyam Boriah, Vipin Kumar
Predictive Learning in the Presence of Heterogeneity and Limited Training Data. SDM (2014)
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)
Ankush Khandelwal, K. S. Rajan
Hyperspectral image enhancement based on sensor simulation and vector decomposition. FUSION (2011)