Vipin Kumar

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 113

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)
Rahul Ghosh, Zac McEachran, Arvind Renganathan, Kelly Lindsay, Somya Sharma Chatterjee, Michael S. Steinbach, John Nieber, Christopher J. Duffy, Vipin Kumar
Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems. CoRR (2024)
Praveen Ravirathinam, Ankush Khandelwal, Rahul Ghosh, Vipin Kumar
Towards a Knowledge guided Multimodal Foundation Model for Spatio-Temporal Remote Sensing Applications. CoRR (2024)
Rahul Ghosh, Arvind Renganathan, Wallace McAliley, Michael S. Steinbach, Christopher J. Duffy, Vipin Kumar
Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology. 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. CoRR (2024)
Anuj Karpatne, Xiaowei Jia, Vipin Kumar
Knowledge-guided Machine Learning: Current Trends and Future Prospects. CoRR (2024)
Somya Sharma Chatterjee, Kelly Lindsay, Neel Chatterjee, Rohan Patil, Ilkay Altintas De Callafon, Michael S. Steinbach, Daniel Giron, Mai H. Nguyen, Vipin Kumar
Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management. SDM (2024)
Somya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar
Probabilistic Inverse Modeling: An Application in Hydrology. SDM (2023)
Jared D. Willard, Charuleka Varadharajan, Xiaowei Jia, Vipin Kumar
Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources. CoRR (2023)
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)
Longbing Cao, Hui Chen, Xuhui Fan, Joao Gama, Yew-Soon Ong, Vipin Kumar
Bayesian Federated Learning: A Survey. CoRR (2023)
Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. CoRR (2023)
Hector Zenil, Jesper Tegnér, Felipe S. Abrahão, Alexander Lavin, Vipin Kumar, Jeremy G. Frey, Adrian Weller, Larisa N. Soldatova, Alan R. Bundy, Nicholas R. Jennings, Koichi Takahashi, Lawrence Hunter, Saso Dzeroski, Andrew Briggs, Frederick D. Gregory, Carla P. Gomes, Christopher K. I. Williams, Jon Rowe, James A. Evans, Hiroaki Kitano, Joshua B. Tenenbaum, Ross D. King
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence. CoRR (2023)
Rahul Ghosh, Haoyu Yang, Ankush Khandelwal, Erhu He, Arvind Renganathan, Somya Sharma, Xiaowei Jia, Vipin Kumar
Entity Aware Modelling: A Survey. CoRR (2023)
Somya Sharma Chatterjee, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar
Uncertainty Quantification in Inverse Models in Hydrology. CoRR (2023)
Chenxi Lin, Zhenong Jin, David J. Mulla, Rahul Ghosh, Kaiyu Guan, Vipin Kumar, Yaping Cai
Correction: Lin et al. Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco. Remote Sens. 2021, 13, 1740. Remote. Sens. 15 (1) (2023)
Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. ICDM (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)
Haoyu Yang, Roshan Tourani, Jia Li, Pedro J. Caraballo, Michael S. Steinbach, Vipin Kumar, György J. Simon
Causal Structure Learning from Imperfect Longitudinal Data in Healthcare. ICHI (2023)
Vipin Kumar
Knowledge-Guided Machine Learning: A New Framework for Accelerating Scientific Discovery and Addressing Global Environmental Challenges. BigData (2023)
Jared Willard, Xiaowei Jia, Shaoming Xu, Michael S. Steinbach, Vipin Kumar
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems. ACM Comput. Surv. 55 (4) (2023)
Leikun Yin, Rahul Ghosh, Chenxi Lin, David Hale, Christoph Weigl, James Obarowski, Junxiong Zhou, Jessica Till, Xiaowei Jia, Troy Mao, Vipin Kumar, Zhenong Jin
Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin. 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)
Jia Li, Xiang Li, Xiaowei Jia, Michael S. Steinbach, Vipin Kumar
Realization of Causal Representation Learning to Adjust Confounding Bias in Latent Space. CoRR (2022)
Somya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar
Probabilistic Inverse Modeling: An Application in Hydrology. CoRR (2022)
Kshitij Tayal, Xiaowei Jia, Rahul Ghosh, Jared Willard, Jordan S. Read, Vipin Kumar
Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling. SDM (2022)
Rahul Ghosh, Xiaowei Jia, Leikun Yin, Chenxi Lin, Zhenong Jin, Vipin Kumar
Clustering augmented self-supervised learning: an application to land cover mapping. SIGSPATIAL/GIS (2022)
Rahul Ghosh, Bangyan Li, Kshitij Tayal, Vipin Kumar, Xiaowei Jia
Meta-Transfer Learning: An application to Streamflow modeling in River-streams. ICDM (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)
Wonsuk Oh, Michael S. Steinbach, M. Regina Castro, Kevin A. Peterson, Vipin Kumar, Pedro J. Caraballo, György J. Simon
A Computational Method for Learning Disease Trajectories From Partially Observable EHR Data. IEEE J. Biomed. Health Informatics 25 (7) (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)
Xiaowei Jia, Jacob Zwart, Jeffrey Sadler, Alison P. Appling, Samantha Oliver, Steven Markstrom, Jared Willard, Shaoming Xu, Michael S. Steinbach, Jordan S. Read, Vipin Kumar
Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks. SDM (2021)
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping. IEEE BigData (2021)
Rahul Ghosh, Xiaowei Jia, Vipin Kumar
Land Cover Mapping in Limited Labels Scenario: A Survey. 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)
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping. 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)
Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Vipin Kumar
Weakly Supervised Classification Using Group-Level Labels. CoRR (2021)
Chenxi Lin, Zhenong Jin, David J. Mulla, Rahul Ghosh, Kaiyu Guan, Vipin Kumar, Yaping Cai
Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco. Remote. Sens. 13 (9) (2021)
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. Trans. Data Sci. 2 (3) (2021)
Haoyu Yang, Roshan Tourani, Ying Zhu, Vipin Kumar, Genevieve B. Melton, Michael S. Steinbach, György J. Simon
Strategies for building robust prediction models using data unavailable at prediction time. J. Am. Medical Informatics Assoc. 29 (1) (2021)
Kshitij Tayal, Raunak Manekar, Zhong Zhuang, David Yang, Vipin Kumar, Felix Hofmann, Ju Sun
Phase Retrieval using Single-Instance Deep Generative Prior. CoRR (2021)
Rahul Ghosh, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar
Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping. CoRR (2021)
Jared Willard, Xiaowei Jia, Shaoming Xu, Michael S. Steinbach, Vipin Kumar
Integrating Physics-Based Modeling with Machine Learning: A Survey. CoRR (2020)
Jared D. Willard, Jordan S. Read, Alison P. Appling, Samantha K. Oliver, Xiaowei Jia, Vipin Kumar
Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning. CoRR (2020)
Kshitij Tayal, Rahul Ghosh, Vipin Kumar
Model-agnostic Methods for Text Classification with Inherent Noise. COLING (Industry) (2020)
Xiaowei Jia, Handong Zhao, Zhe Lin, Ajinkya Kale, Vipin Kumar
Personalized Image Retrieval with Sparse Graph Representation Learning. KDD (2020)
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)
György J. Simon, Kevin A. Peterson, M. Regina Castro, Michael S. Steinbach, Vipin Kumar, Pedro J. Caraballo
Predicting diabetes clinical outcomes using longitudinal risk factor trajectories. BMC Medical Informatics Decis. Mak. 20 (1) (2020)
Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar
Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data. SDM (2020)
Saurabh Agrawal, Michael S. Steinbach, Daniel Boley, Snigdhansu Chatterjee, Gowtham Atluri, Anh The Dang, Stefan Liess, Vipin Kumar
Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks. IEEE Trans. Knowl. Data Eng. 32 (9) (2020)
Huaxiu Yao, Xiaowei Jia, Vipin Kumar, Zhenhui Li
Learning with Small Data. KDD (2020)
Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar
Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data. 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)
Kshitij Tayal, Nikhil S. Rao, Saurabh Agarwal, Xiaowei Jia, Karthik Subbian, Vipin Kumar
Regularized Graph Convolutional Networks for Short Text Classification. COLING (Industry) (2020)
Xiaowei Jia, Jacob Zwart, Jeffrey Sadler, Alison P. Appling, Samantha Oliver, Steven Markstrom, Jared Willard, Shaoming Xu, Michael S. Steinbach, Jordan S. Read, Vipin Kumar
Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks. CoRR (2020)
Jia Li, Xiaowei Jia, Haoyu Yang, Vipin Kumar, Michael S. Steinbach, György J. Simon
Teaching deep learning causal effects improves predictive performance. CoRR (2020)
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar
Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling. IGARSS (2020)
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. CoRR (2020)
Kshitij Tayal, Chieh-Hsin Lai, Vipin Kumar, Ju Sun
Inverse Problems, Deep Learning, and Symmetry Breaking. CoRR (2020)
Wonsuk Oh, Michael S. Steinbach, M. Regina Castro, Kevin A. Peterson, Vipin Kumar, Pedro J. Caraballo, György J. Simon
Evaluating the Impact of Data Representation on EHR-Based Analytic Tasks. MedInfo (2019)
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. SDM (2019)
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)
Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar
Spatio-temporal classification at multiple resolutions using multi-view regularization. IEEE BigData (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)
Pranjul Yadav, Michael S. Steinbach, M. Regina Castro, Pedro J. Caraballo, Vipin Kumar, György J. Simon
Frequent Causal Pattern Mining: A Computationally Efficient Framework For Estimating Bias-Corrected Effects. IEEE BigData (2019)
Xiaowei Jia, Sheng Li, Handong Zhao, Sungchul Kim, Vipin Kumar
Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training? KDD (2019)
Anuj Karpatne, Imme Ebert-Uphoff, Sai Ravela, Hassan Ali Babaie, Vipin Kumar
Machine Learning for the Geosciences: Challenges and Opportunities. IEEE Trans. Knowl. Data Eng. 31 (8) (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)
Yolanda Gil, Suzanne A. Pierce, Hassan A. Babaie, Arindam Banerjee, Kirk D. Borne, Gary S. Bust, Michelle Cheatham, Imme Ebert-Uphoff, Carla P. Gomes, Mary C. Hill, John D. Horel, Leslie Hsu, Jim Kinter, Craig A. Knoblock, David M. Krum, Vipin Kumar, Pierre Lermusiaux, Yan Liu, Chris North, Victor Pankratius, Shanan Peters, Beth Plale, Allen Pope, Sai Ravela, Juan Restrepo, Aaron J. Ridley, Hanan Samet, Shashi Shekhar
Intelligent systems for geosciences: an essential research agenda. Commun. ACM 62 (1) (2019)
Saurabh Agrawal, Saurabh Verma, Anuj Karpatne, Stefan Liess, Snigdhansu Chatterjee, Vipin Kumar
A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series. 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)
Saurabh Agrawal, Michael S. Steinbach, Daniel Boley, Snigdhansu Chatterjee, Gowtham Atluri, Anh The Dang, Stefan Liess, Vipin Kumar
Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks. CoRR (2018)
Gowtham Atluri, Anuj Karpatne, Vipin Kumar
Spatio-Temporal Data Mining: A Survey of Problems and Methods. ACM Comput. Surv. 51 (4) (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)
Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. CoRR (2018)
Saurabh Agrawal, Saurabh Verma, Gowtham Atluri, Anuj Karpatne, Stefan Liess, Angus W. MacDonald III, Snigdhansu Chatterjee, Vipin Kumar
Mining Sub-Interval Relationships In Time Series Data. CoRR (2018)
Jia Li, Mengdie Wang, Michael S. Steinbach, Vipin Kumar, György J. Simon
Don't Do Imputation: Dealing with Informative Missing Values in EHR Data Analysis. ICBK (2018)
Pranjul Yadav, Michael S. Steinbach, Vipin Kumar, György J. Simon
Mining Electronic Health Records (EHRs): A Survey. ACM Comput. Surv. 50 (6) (2018)
Guruprasad Nayak, Varun Mithal, Xiaowei Jia, Vipin Kumar
Classifying Multivariate Time Series by Learning Sequence-level Discriminative Patterns. SDM (2018)
Xiaowei Jia, Anuj Karpatne, Jared Willard, Michael S. Steinbach, Jordan S. Read, Paul C. Hanson, Hilary A. Dugan, Vipin Kumar
Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes. CoRR (2018)
Pranjul Yadav, Michael S. Steinbach, Vipin Kumar, György J. Simon
Mining Electronic Health Records: A Survey. CoRR (2017)
Anuj Karpatne, William Watkins, Jordan S. Read, Vipin Kumar
Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling. CoRR (2017)
Anuj Karpatne, Imme Ebert-Uphoff, Sai Ravela, Hassan Ali Babaie, Vipin Kumar
Machine Learning for the Geosciences: Challenges and Opportunities. CoRR (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)
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)
Steven G. Johnson, Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra
Quantifying the Effect of Data Quality on the Validity of an eMeasure. Appl. Clin. Inform. 8 (04) (2017)
Anuj Karpatne, Vipin Kumar
Big Data in Climate: Opportunities and Challenges for Machine Learning. KDD (2017)
Gowtham Atluri, Anuj Karpatne, Vipin Kumar
Spatio-Temporal Data Mining: A Survey of Problems and Methods. CoRR (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)
Wonsuk Oh, Pranjul Yadav, Vipin Kumar, Pedro J. Caraballo, M. Regina Castro, Michael S. Steinbach, György J. Simon
Estimating Disease Onset Time by Modeling Lab Result Trajectories via Bayes Networks. ICHI (2017)
Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael S. Steinbach, Arindam Banerjee, Auroop R. Ganguly, Shashi Shekhar, Nagiza F. Samatova, Vipin Kumar
Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data. IEEE Trans. Knowl. Data Eng. 29 (10) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Vipin Kumar