Vipin Kumar - RankMe

436 papers A* 57A 57B 11C 7Misc 15Journal 154Unranked 97

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CarbonBench: A Global Benchmark for Upscaling of Carbon Fluxes Using Zero-Shot Learning. CoRR Aleksei Rozanov, Arvind Renganathan, Yimeng Zhang, Vipin Kumar
2026	A*	`conf`	Knowledge-Guided Machine Learning: A Paradigm Shift in AI for Science. AAAI Anuj Karpatne, Xiaowei Jia, Vipin Kumar
2026	J	`jnl`	Learning PDE Solvers with Physics and Data: A Unifying View of Physics-Informed Neural Networks and Neural Operators. CoRR Yilong Dai, Shengyu Chen, Ziyi Wang, Xiaowei Jia, Yiqun Xie, Vipin Kumar, Runlong Yu
2026	J	`jnl`	Task Aware Modulation Using Representation Learning for Upsaling of Terrestrial Carbon Fluxes. CoRR Aleksei Rozanov, Arvind Renganathan, Vipin Kumar
2026	J	`jnl`	The future of fundamental science led by generative closed-loop artificial intelligence. Frontiers Artif. Intell. 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, Jonathan E. Rowe, James A. Evans, Hiroaki Kitano, Ross D. King
2025	—	`conf`	AI and Science Day. KDD (2) Aidong Zhang, Vipin Kumar, Yan Liu
2025	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part I PAKDD (1) Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu
2025	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part II PAKDD (2) Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu
2025	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part III PAKDD (3) Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu
2025	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part IV PAKDD (4) Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu
2025	—	`ed.`	Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part V PAKDD (5) Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu
2025	J	`jnl`	Combining self-supervision and privileged information for representation learning from tabular data. Knowl. Inf. Syst. Haoyu Yang, Michael S. Steinbach, Genevieve B. Melton, Vipin Kumar, György J. Simon
2025	—	`ed.`	Data Science: Foundations and Applications - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, Australia, June 10-13, 2025, Proceedings, Part VII PAKDD (7) Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Xiangmin Zhou, Guansong Pang, João Gama
2025	—	`ed.`	Data Science: Foundations and Applications - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part VI PAKDD (6) Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Xiangmin Zhou, Guansong Pang, João Gama
2025	A*	`conf`	Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems: An application on Hydrological Systems. ICDM Rahul Ghosh, Arvind Renganthan, Zac McEachran, Kelly Lindsay, Michael S. Steinbach, John Nieber, Christopher J. Duffy, Vipin Kumar
2025	—	`conf`	KDD 2025 Panel on AI for Science. KDD (2) Vipin Kumar, Yan Liu, Aidong Zhang
2025	—	`conf`	Solving the scale problem in multimodal learning in AgriAI. GeoAI@SIGSPATIAL Sumit Sen, Lokendra Chauhan, Liping Di, Vipin Kumar
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	A*	`conf`	Combining Self-Supervision and Privileged Information for Representation Learning from Tabular Data. ICDM Haoyu Yang, Michael S. Steinbach, Genevieve B. Melton, Vipin Kumar, György J. Simon
2024	J	`jnl`	Evaluating Deep Learning Approaches for Predictions in Unmonitored Basins with Continental-scale Stream Temperature Models. CoRR Jared D. Willard, Fabio Ciulla, Helen Weierbach, Vipin Kumar, Charuleka Varadharajan
2024	A*	`conf`	ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction. ICDM Kshitij Tayal, Arvind Renganathan, Xiaowei Jia, Vipin Kumar, Dan Lu
2024	J	`jnl`	ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction. CoRR Kshitij Tayal, Arvind Renganathan, Xiaowei Jia, Vipin Kumar, Dan Lu
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	J	`jnl`	Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems. CoRR Rahul Ghosh, Zac McEachran, Arvind Renganathan, Kelly Lindsay, Somya Sharma Chatterjee, Michael S. Steinbach, John Nieber, Christopher J. Duffy, Vipin Kumar
2024	J	`jnl`	Knowledge-guided Machine Learning: Current Trends and Future Prospects. CoRR Anuj Karpatne, Xiaowei Jia, 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	A	`conf`	Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management. SDM Somya Sharma Chatterjee, Kelly Lindsay, Neel Chatterjee, Rohan Patil, Ilkay Altintas De Callafon, Michael S. Steinbach, Daniel Giron, Mai H. Nguyen, Vipin Kumar
2024	A	`conf`	Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology. SDM Rahul Ghosh, Arvind Renganathan, Wallace McAliley, Michael S. Steinbach, Christopher J. Duffy, 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`	Bayesian Federated Learning: A Survey. CoRR Longbing Cao, Hui Chen, Xuhui Fan, João Gama, Yew-Soon Ong, Vipin Kumar
2023	—	`conf`	Causal Structure Learning from Imperfect Longitudinal Data in Healthcare. ICHI Haoyu Yang, Roshan Tourani, Jia Li, Pedro J. Caraballo, Michael S. Steinbach, Vipin Kumar, György J. Simon
2023	J	`jnl`	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. Chenxi Lin, Zhenong Jin, David J. Mulla, Rahul Ghosh, Kaiyu Guan, Vipin Kumar, Yaping Cai
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`	Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems. ACM Comput. Surv. Jared Willard, Xiaowei Jia, Shaoming Xu, Michael S. Steinbach, Vipin Kumar
2023	B	`conf`	Knowledge-Guided Machine Learning: A New Framework for Accelerating Scientific Discovery and Addressing Global Environmental Challenges. IEEE Big Data Vipin Kumar
2023	A*	`conf`	Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. ICDM Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar
2023	J	`jnl`	Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. CoRR Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar
2023	J	`jnl`	Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin. CoRR Leikun Yin, Rahul Ghosh, Chenxi Lin, David Hale, Christoph Weigl, James Obarowski, Junxiong Zhou, Jessica Till, Xiaowei Jia, Troy Mao, Vipin Kumar, Zhenong Jin
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`	On Computing Paradigms - Where Will Large Language Models Be Going. ICDM Xindong Wu, Xingquan Zhu, Elena Baralis, Ruqian Lu, Vipin Kumar, Leszek Rutkowski, Jie Tang
2023	J	`jnl`	Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management. CoRR Somya Sharma Chatterjee, Kelly Lindsay, Neel Chatterjee, Rohan Patil, Ilkay Altintas De Callafon, Michael S. Steinbach, Daniel Giron, Mai H. Nguyen, Vipin Kumar
2023	A	`conf`	Probabilistic Inverse Modeling: An Application in Hydrology. SDM Somya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, 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
2023	J	`jnl`	The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence. CoRR 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, Jonathan E. Rowe, James A. Evans, Hiroaki Kitano, Joshua B. Tenenbaum, Ross D. King
2023	J	`jnl`	Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources. CoRR Jared D. Willard, Charuleka Varadharajan, Xiaowei Jia, Vipin Kumar
2023	J	`jnl`	Uncertainty Quantification in Inverse Models in Hydrology. CoRR Somya Sharma Chatterjee, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar
2022	—	`conf`	Clustering augmented self-supervised learning: an application to land cover mapping. SIGSPATIAL/GIS Rahul Ghosh, Xiaowei Jia, Leikun Yin, Chenxi Lin, Zhenong Jin, Vipin Kumar
2022	A	`conf`	Invertibility aware Integration of Static and Time-series data: An application to Lake Temperature Modeling. SDM Kshitij Tayal, Xiaowei Jia, Rahul Ghosh, Jared Willard, Jordan S. Read, Vipin Kumar
2022	A*	`conf`	Meta-Transfer Learning: An application to Streamflow modeling in River-streams. ICDM Rahul Ghosh, Bangyan Li, Kshitij Tayal, Vipin Kumar, Xiaowei Jia
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	J	`jnl`	Probabilistic Inverse Modeling: An Application in Hydrology. CoRR Somya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar
2022	J	`jnl`	Realization of Causal Representation Learning to Adjust Confounding Bias in Latent Space. CoRR Jia Li, Xiang Li, Xiaowei Jia, Michael S. Steinbach, 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`	A Computational Method for Learning Disease Trajectories From Partially Observable EHR Data. IEEE J. Biomed. Health Informatics Wonsuk Oh, Michael S. Steinbach, M. Regina Castro, Kevin A. Peterson, Vipin Kumar, Pedro J. Caraballo, György J. Simon
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`	Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping. IEEE BigData Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar
2021	J	`jnl`	Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping. CoRR Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar
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`	Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping. CoRR Rahul Ghosh, Xiaowei Jia, Chenxi Lin, Zhenong Jin, 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
2021	J	`jnl`	Land Cover Mapping in Limited Labels Scenario: A Survey. CoRR Rahul Ghosh, Xiaowei Jia, Vipin Kumar
2021	J	`jnl`	Phase Retrieval using Single-Instance Deep Generative Prior. CoRR Kshitij Tayal, Raunak Manekar, Zhong Zhuang, David Yang, Vipin Kumar, Felix Hofmann, Ju Sun
2021	J	`jnl`	Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. Trans. Data Sci. Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar
2021	A	`conf`	Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks. SDM Xiaowei Jia, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Steven Markstrom, Jared Willard, Shaoming Xu, Michael S. Steinbach, Jordan S. Read, Vipin Kumar
2021	J	`jnl`	Strategies for building robust prediction models using data unavailable at prediction time. J. Am. Medical Informatics Assoc. Haoyu Yang, Roshan Tourani, Ying Zhu, Vipin Kumar, Genevieve B. Melton, Michael S. Steinbach, György J. Simon
2021	J	`jnl`	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. Chenxi Lin, Zhenong Jin, David J. Mulla, Rahul Ghosh, Kaiyu Guan, Vipin Kumar, Yaping Cai
2021	J	`jnl`	Weakly Supervised Classification Using Group-Level Labels. CoRR Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, 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`	Integrating Physics-Based Modeling with Machine Learning: A Survey. CoRR Jared Willard, Xiaowei Jia, Shaoming Xu, Michael S. Steinbach, Vipin Kumar
2020	J	`jnl`	Inverse Problems, Deep Learning, and Symmetry Breaking. CoRR Kshitij Tayal, Chieh-Hsin Lai, Vipin Kumar, Ju Sun
2020	A*	`conf`	Learning with Small Data. KDD Huaxiu Yao, Xiaowei Jia, Vipin Kumar, Zhenhui Li
2020	J	`jnl`	Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks. IEEE Trans. Knowl. Data Eng. Saurabh Agrawal, Michael S. Steinbach, Daniel Boley, Snigdhansu Chatterjee, Gowtham Atluri, Anh The Dang, Stefan Liess, Vipin Kumar
2020	—	`conf`	Model-agnostic Methods for Text Classification with Inherent Noise. COLING (Industry) Kshitij Tayal, Rahul Ghosh, Vipin Kumar
2020	A*	`conf`	Personalized Image Retrieval with Sparse Graph Representation Learning. KDD Xiaowei Jia, Handong Zhao, Zhe Lin, Ajinkya Kale, 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
2020	J	`jnl`	Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. CoRR Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar
2020	J	`jnl`	Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks. CoRR Xiaowei Jia, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Steven Markstrom, Jared Willard, Shaoming Xu, Michael S. Steinbach, Jordan S. Read, Vipin Kumar
2020	J	`jnl`	Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning. CoRR Jared D. Willard, Jordan S. Read, Alison P. Appling, Samantha K. Oliver, Xiaowei Jia, Vipin Kumar
2020	J	`jnl`	Predicting diabetes clinical outcomes using longitudinal risk factor trajectories. BMC Medical Informatics Decis. Mak. György J. Simon, Kevin A. Peterson, M. Regina Castro, Michael S. Steinbach, Vipin Kumar, Pedro J. Caraballo
2020	C	`conf`	Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling. IGARSS Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob A. Zwart, Michael S. Steinbach, Vipin Kumar
2020	—	`conf`	Regularized Graph Convolutional Networks for Short Text Classification. COLING (Industry) Kshitij Tayal, Nikhil Rao, Saurabh Agarwal, Xiaowei Jia, Karthik Subbian, Vipin Kumar
2020	A	`conf`	Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data. SDM Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar
2020	J	`jnl`	Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data. CoRR Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar
2020	J	`jnl`	Teaching deep learning causal effects improves predictive performance. CoRR Jia Li, Xiaowei Jia, Haoyu Yang, Vipin Kumar, Michael S. Steinbach, György J. Simon
2019	J	`jnl`	A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series. CoRR Saurabh Agrawal, Saurabh Verma, Anuj Karpatne, Stefan Liess, Snigdhansu Chatterjee, 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	—	`conf`	Evaluating the Impact of Data Representation on EHR-Based Analytic Tasks. MedInfo Wonsuk Oh, Michael S. Steinbach, M. Regina Castro, Kevin A. Peterson, Vipin Kumar, Pedro J. Caraballo, György J. Simon
2019	—	`conf`	Frequent Causal Pattern Mining: A Computationally Efficient Framework For Estimating Bias-Corrected Effects. IEEE BigData Pranjul Yadav, Michael S. Steinbach, M. Regina Castro, Pedro J. Caraballo, Vipin Kumar, György J. Simon
2019	J	`jnl`	Intelligent systems for geosciences: an essential research agenda. Commun. ACM 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 F. J. Lermusiaux, Yan Liu, Chris North, Victor Pankratius, Shanan Peters, Beth Plale, Allen Pope, Sai Ravela, Juan Restrepo, Aaron J. Ridley, Hanan Samet, Shashi Shekhar
2019	—	`book`	Introduction to Data Mining (Second Edition) Pang-Ning Tan, Michael S. Steinbach, Anuj Karpatne, Vipin Kumar
2019	J	`jnl`	Machine Learning for the Geosciences: Challenges and Opportunities. IEEE Trans. Knowl. Data Eng. Anuj Karpatne, Imme Ebert-Uphoff, Sai Ravela, Hassan Ali Babaie, Vipin Kumar
2019	A	`conf`	Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. SDM Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, 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*	`ed.`	Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019. KDD Ankur Teredesai, Vipin Kumar, Ying Li, Rómer Rosales, Evimaria Terzi, George Karypis
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
2019	—	`conf`	Spatio-temporal classification at multiple resolutions using multi-view regularization. IEEE BigData Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar
2019	A*	`conf`	Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training? KDD Xiaowei Jia, Sheng Li, Handong Zhao, Sungchul Kim, Vipin Kumar
2018	A	`conf`	Classifying Multivariate Time Series by Learning Sequence-level Discriminative Patterns. SDM Guruprasad Nayak, Varun Mithal, Xiaowei Jia, Vipin Kumar
2018	—	`conf`	Don't Do Imputation: Dealing with Informative Missing Values in EHR Data Analysis. ICBK Jia Li, Mengdie Wang, Michael S. Steinbach, Vipin Kumar, György J. Simon
2018	J	`jnl`	Heterogeneous Metric Learning of Categorical Data with Hierarchical Couplings. IEEE Trans. Knowl. Data Eng. Chengzhang Zhu, Longbing Cao, Qiang Liu, Jianping Yin, Vipin Kumar
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
2018	J	`jnl`	Mining Electronic Health Records (EHRs): A Survey. ACM Comput. Surv. Pranjul Yadav, Michael S. Steinbach, Vipin Kumar, György J. Simon
2018	J	`jnl`	Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks. CoRR Saurabh Agrawal, Michael S. Steinbach, Daniel Boley, Snigdhansu Chatterjee, Gowtham Atluri, Anh The Dang, Stefan Liess, Vipin Kumar
2018	J	`jnl`	Mining Sub-Interval Relationships In Time Series Data. CoRR Saurabh Agrawal, Saurabh Verma, Gowtham Atluri, Anuj Karpatne, Stefan Liess, Angus W. MacDonald III, Snigdhansu Chatterjee, Vipin Kumar
2018	J	`jnl`	Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. CoRR Xiaowei Jia, Jared Willard, Anuj Karpatne, Jordan S. Read, Jacob Zwart, Michael S. Steinbach, Vipin Kumar
2018	J	`jnl`	Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes. CoRR Xiaowei Jia, Anuj Karpatne, Jared Willard, Michael S. Steinbach, Jordan S. Read, Paul C. Hanson, Hilary A. Dugan, Vipin Kumar
2018	J	`jnl`	Spatio-Temporal Data Mining: A Survey of Problems and Methods. ACM Comput. Surv. Gowtham Atluri, Anuj Karpatne, Vipin Kumar
2017	—	`ch.`	Active Learning. Encyclopedia of Machine Learning and Data Mining Varun Chandola, Arindam Banerjee, Vipin Kumar
2017	A*	`conf`	Big Data in Climate: Opportunities and Challenges for Machine Learning. KDD Anuj Karpatne, Vipin Kumar
2017	J	`jnl`	Discovery of Shifting Patterns in Sequence Classification. CoRR Xiaowei Jia, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar
2017	—	`conf`	Estimating Disease Onset Time by Modeling Lab Result Trajectories via Bayes Networks. ICHI Wonsuk Oh, Pranjul Yadav, Vipin Kumar, Pedro J. Caraballo, M. Regina Castro, Michael S. Steinbach, György J. Simon
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	J	`jnl`	Machine Learning for the Geosciences: Challenges and Opportunities. CoRR Anuj Karpatne, Imme Ebert-Uphoff, Sai Ravela, Hassan Ali Babaie, Vipin Kumar
2017	J	`jnl`	Mining Electronic Health Records: A Survey. CoRR Pranjul Yadav, Michael S. Steinbach, Vipin Kumar, György J. Simon
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	J	`jnl`	Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling. CoRR Anuj Karpatne, William Watkins, Jordan S. Read, 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`	Quantifying the Effect of Data Quality on the Validity of an eMeasure. Appl. Clin. Inform. Steven G. Johnson, Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra
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
2017	J	`jnl`	Spatio-Temporal Data Mining: A Survey of Problems and Methods. CoRR Gowtham Atluri, Anuj Karpatne, Vipin Kumar
2017	J	`jnl`	Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data. IEEE Trans. Knowl. Data Eng. Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael S. Steinbach, Arindam Banerjee, Auroop R. Ganguly, Shashi Shekhar, Nagiza F. Samatova, Vipin Kumar
2017	A*	`conf`	Tripoles: A New Class of Relationships in Time Series Data. KDD Saurabh Agrawal, Gowtham Atluri, Anuj Karpatne, William Haltom, Stefan Liess, Snigdhansu Chatterjee, Vipin Kumar
2016	—	`conf`	A Data Mining Approach to Determine Sepsis Guideline Impact on Inpatient Mortality and Complications. CRI Lisiane Pruinelli, Pranjul Yadav, Andrew Hangsleben, Jakob Johnson, Sanjoy Dey, Maribet C. McCarty, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra, György J. Simon
2016	A	`conf`	A general framework to increase the robustness of model-based change point detection algorithms to outliers and noise. SDM Xi C. Chen, Yuanshun Yao, Sichao Shi, Snigdhansu Chatterjee, Vipin Kumar, James H. Faghmous
2016	J	`jnl`	Application of an Ontology for Characterizing Data Quality for a Secondary Use of EHR Data. Appl. Clin. Inform. Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra, Steven G. Johnson
2016	A*	`conf`	Big Data in Climate: Opportunities and Challenges for Machine Learning. SIGIR Vipin Kumar
2016	J	`jnl`	Causal Inference in Observational Data. CoRR Pranjul Yadav, Lisiane Pruinelli, Alexander Hoff, Michael S. Steinbach, Bonnie L. Westra, Vipin Kumar, György J. Simon
2016	C	`conf`	Causality-Guided Feature Selection. ADMA Mandar S. Chaudhary, Doel L. Gonzalez II, Gonzalo A. Bello, Michael P. Angus, Dhara Desai, Steve Harenberg, P. Murali Doraiswamy, Fredrick H. M. Semazzi, Vipin Kumar, Nagiza F. Samatova
2016	J	`jnl`	Clustering of elderly patient subgroups to identify medication-related readmission risks. Int. J. Medical Informatics Catherine H. Olson, Sanjoy Dey, Vipin Kumar, Karen A. Monsen, Bonnie L. Westra
2016	J	`jnl`	Data Science for Food, Energy and Water: A Workshop Report. SIGKDD Explor. Naoki Abe, Yiqun Xie, Shashi Shekhar, Chid Apté, Vipin Kumar, Mitch Tuinstra, Ranga Raju Vatsavai
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`	Identifying dynamic changes with noisy labels in spatial-temporal data: A study on large-scale water monitoring application. IEEE BigData Xiaowei Jia, Xi Chen, Anuj Karpatne, 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	Misc	`conf`	Quantifying the Effect of Data Quality on the Correctness of an eMeasure. AMIA Steven G. Johnson, Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra
2016	J	`jnl`	The Brain-Network Paradigm: Using Functional Imaging Data to Study How the Brain Works. Computer Gowtham Atluri, Angus W. MacDonald III, Kelvin O. Lim, Vipin Kumar
2016	J	`jnl`	Theory-guided Data Science: A New Paradigm for Scientific Discovery. CoRR Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael S. Steinbach, Arindam Banerjee, Auroop R. Ganguly, Shashi Shekhar, Nagiza F. Samatova, Vipin Kumar
2016	J	`jnl`	Type 2 Diabetes Mellitus Trajectories and Associated Risks. Big Data Wonsuk Oh, Era Kim, M. Regina Castro, Pedro J. Caraballo, Vipin Kumar, Michael S. Steinbach, György J. Simon
2016	A*	`conf`	Understanding Dominant Factors for Precipitation over the Great Lakes Region. AAAI Soumyadeep Chatterjee, Stefan Liess, Arindam Banerjee, Vipin Kumar
2015	Misc	`conf`	A Data Quality Ontology for the Secondary Use of EHR Data. AMIA Steven G. Johnson, Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra
2015	A*	`conf`	Adaptive Heterogeneous Ensemble Learning Using the Context of Test Instances. ICDM Anuj Karpatne, Vipin Kumar
2015	—	`conf`	Building Predictive Models for Noisy and Heterogeneous Data: An Application in Global Monitoring of Inland Water Dynamics. ICDM Workshops Anuj Karpatne, Vipin Kumar
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	Misc	`conf`	Clustering Health Data to Discover EBP Interventions for Sepsis Prevention and Treatment for Health Disparities. AMIA Lisiane Pruinelli, Pranjul Yadav, Andrew Hangsleben, Kevin Schiroo, Sanjoy Dey, György J. Simon, Maribet C. McCarty, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra
2015	J	`jnl`	Computing and Climate. Comput. Sci. Eng. James H. Faghmous, Vipin Kumar, Shashi Shekhar
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`	Forensic Style Analysis with Survival Trajectories. ICDM Pranjul Yadav, Michael S. Steinbach, Lisiane Pruinelli, Bonnie L. Westra, Connie Delaney, Vipin Kumar, György J. Simon
2015	A	`conf`	From Categorical to Numerical: Multiple Transitive Distance Learning and Embedding. SDM Kai Zhang, Qiaojun Wang, Zhengzhang Chen, Ivan Marsic, Vipin Kumar, Guofei Jiang, Jie Zhang
2015	J	`jnl`	Nonoccurring Behavior Analytics: A New Area. IEEE Intell. Syst. Longbing Cao, Philip S. Yu, Vipin Kumar
2015	—	`conf`	Online Change Detection Algorithm for Noisy Time-Series: An Application Tonear-Real Time Burned Area Mapping. ICDM Workshops Xi C. Chen, Vipin Kumar, James H. Faghmous
2015	A*	`conf`	Post Classification Label Refinement Using Implicit Ordering Constraint Among Data Instances. ICDM Ankush Khandelwal, Varun Mithal, Vipin Kumar
2015	Misc	`conf`	Predicting the Factors of Improvement of Health Status of Home Health Care Patients: A Holistic Data Mining Approach. AMIA Sanjoy Dey, Katherine Hauwiller, Pranjul Yadav, Michael S. Steinbach, György J. Simon, Vipin Kumar, Connie White-Delaney, Bonnie L. Westra
2015	—	`ch.`	Predictive Models for Integrating Clinical and Genomic Data. Healthcare Data Analytics Sanjoy Dey, Rohit Gupta, Michael S. Steinbach, Vipin Kumar
2015	A	`conf`	Rare Class Detection in Networks. SDM Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava, Vipin Kumar
2015	—	`conf`	Response-Guided Community Detection: Application to Climate Index Discovery. ECML/PKDD (2) Gonzalo A. Bello, Michael P. Angus, Navya Pedemane, Jitendra K. Harlalka, Fredrick H. M. Semazzi, Vipin Kumar, Nagiza F. Samatova
2015	J	`jnl`	SubPatCNV: approximate subspace pattern mining for mapping copy-number variations. BMC Bioinform. Nicholas Johnson, Huanan Zhang, Gang Fang, Vipin Kumar, Rui Kuang
2014	J	`jnl`	A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science. Big Data James H. Faghmous, Vipin Kumar
2014	J	`jnl`	A reference based analysis framework for understanding anomaly detection techniques for symbolic sequences. Data Min. Knowl. Discov. Varun Chandola, Varun Mithal, Vipin Kumar
2014	—	`conf`	Amb-EM: a SNP-based prediction of HLA alleles using ambiguous HLA data. BCB Vanja Paunic, Michael S. Steinbach, Abeer Madbouly, Vipin Kumar
2014	Misc	`conf`	Data Mining Methodologies to Discover Best practices for Diabetic Patients with Health Disparities. AMIA Lisiane Pruinelli, Sanjoy Dey, György J. Simon, Pranjul Yadav, Andrew Hangsleben, Katherine Hauwiller, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra
2014	A	`conf`	Discovering Groups of Time Series with Similar Behavior in Multiple Small Intervals of Time. SDM Gowtham Atluri, Michael S. Steinbach, Kelvin O. Lim, Angus W. MacDonald III, Vipin Kumar
2014	J	`jnl`	Identification of co-occurring insertions in cancer genomes using association analysis. Int. J. Data Min. Bioinform. Michael S. Steinbach, Sean Landman, Vipin Kumar, Haoyu Yu
2014	A	`conf`	Memory-efficient Query-driven Community Detection with Application to Complex Disease Associations. SDM Steve Harenberg, Ramona G. Seay, Stephen Ranshous, Kanchana Padmanabhan, Jitendra K. Harlalka, Eric R. Schendel, Michael P. O'Brien, Rada Chirkova, William Hendrix, Alok N. Choudhary, Vipin Kumar, Murali Doraiswamy, Nagiza F. Samatova
2014	A	`conf`	Mining Interpretable and Predictive Diagnosis Codes from Multi-source Electronic Health Records. SDM Sanjoy Dey, György J. Simon, Bonnie L. Westra, Michael S. Steinbach, 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
2014	A*	`conf`	Spatio-Temporal Consistency as a Means to Identify Unlabeled Objects in a Continuous Data Field. AAAI James H. Faghmous, Hung Nguyen, Matthew Le, Vipin Kumar
2014	J	`jnl`	Theory-Guided Data Science for Climate Change. Computer James H. Faghmous, Arindam Banerjee, Shashi Shekhar, Michael S. Steinbach, Vipin Kumar, Auroop R. Ganguly, Nagiza F. Samatova
2014	J	`jnl`	Trends in big data analytics. J. Parallel Distributed Comput. Karthik Kambatla, Giorgios Kollias, Vipin Kumar, Ananth Grama
2013	A*	`conf`	A Parameter-Free Spatio-Temporal Pattern Mining Model to Catalog Global Ocean Dynamics. ICDM James H. Faghmous, Matthew Le, Muhammed Uluyol, Vipin Kumar, Snigdhansu Chatterjee
2013	J	`jnl`	A graph-based approach to find teleconnections in climate data. Stat. Anal. Data Min. Jaya Kawale, Stefan Liess, Arjun Kumar, Michael S. Steinbach, Peter K. Snyder, Vipin Kumar, Auroop R. Ganguly, Nagiza F. Samatova, Fredrick H. M. Semazzi
2013	A	`conf`	Automatic Detection and Correction of Multi-class Classification Errors Using System Whole-part Relationships. SDM Zhengzhang Chen, Alok N. Choudhary, John Jenkins, Vipin Kumar, Anatoli V. Melechko, Jinfeng Rao, Nagiza F. Samatova, Fredrick H. M. Semazzi
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	A	`conf`	Contextual Time Series Change Detection. SDM Xi C. Chen, Karsten Steinhaeuser, Shyam Boriah, Snigdhansu Chatterjee, Vipin Kumar
2013	A*	`conf`	Coupled Heterogeneous Association Rule Mining (CHARM): Application Toward Inference of Modulatory Climate Relationships. ICDM Doel L. Gonzalez, Saurabh V. Pendse, Kanchana Padmanabhan, Michael P. Angus, Isaac K. Tetteh, Shashank Srinivas, Andrea Villanes, Fredrick H. M. Semazzi, Vipin Kumar, Nagiza F. Samatova
2013	Misc	`conf`	Data Mining to Predict Mobility Outcomes for Older Adults Receiving Home Health Care. AMIA Sanjoy Dey, Jeremy Weed, Joanna Fakhoury, Jacob Cooner, György J. Simon, Michael S. Steinbach, Bonnie L. Westra, Vipin Kumar
2013	—	`conf`	Detection of Precursors to Aviation Safety Incidents Due to Human Factors. ICDM Workshops Igor Melnyk, Pranjul Yadav, Michael S. Steinbach, Jaideep Srivastava, Vipin Kumar, Arindam Banerjee
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
2013	—	`conf`	Evaluation of Label Dependency for the Prediction of HLA Genes. BCB Vanja Paunic, Michael S. Steinbach, Abeer Madbouly, Vipin Kumar
2013	A*	`conf`	Multiple Hypothesis Object Tracking For Unsupervised Self-Learning: An Ocean Eddy Tracking Application. AAAI James H. Faghmous, Muhammed Uluyol, Luke Styles, Matthew Le, Varun Mithal, Shyam Boriah, Vipin Kumar
2012	A*	`conf`	A Novel and Scalable Spatio-Temporal Technique for Ocean Eddy Monitoring. AAAI James H. Faghmous, Yashu Chamber, Shyam Boriah, Frode Vikebø, Stefan Liess, Michel dos Santos Mesquita, Vipin Kumar
2012	—	`conf`	A new data mining framework for forest fire mapping. CIDU Xi C. Chen, Anuj Karpatne, Yashu Chamber, Varun Mithal, Michael Lau, Karsten Steinhaeuser, Shyam Boriah, Michael S. Steinbach, Vipin Kumar, Christopher Potter, Steven A. Klooster, Teji Abraham, J. D. Stanley, Juan Carlos Castilla-Rubio
2012	—	`conf`	A pattern mining based integrative framework for biomarker discovery. BCB Sanjoy Dey, Kelvin O. Lim, Gowtham Atluri, Angus W. MacDonald III, Michael S. Steinbach, Vipin Kumar
2012	J	`jnl`	Anomaly Detection for Discrete Sequences: A Survey. IEEE Trans. Knowl. Data Eng. Varun Chandola, Arindam Banerjee, Vipin Kumar
2012	—	`conf`	Approximate Search on Massive Spatiotemporal Datasets. ICDM Workshops Ivan Brugere, Karsten Steinhaeuser, Shyam Boriah, Vipin Kumar
2012	—	`conf`	EddyScan: A physically consistent ocean eddy monitoring application. CIDU James H. Faghmous, Luke Styles, Varun Mithal, Shyam Boriah, Stefan Liess, Vipin Kumar, Frode Vikebø, Michel dos Santos Mesquita
2012	J	`jnl`	Enhancing the functional content of protein interaction networks CoRR Gaurav Pandey, Sahil Manocha, Gowtham Atluri, Vipin Kumar
2012	—	`conf`	Hierarchical Classifier-Regression Ensemble for Multi-phase Non-linear Dynamic System Response Prediction: Application to Climate Analysis. ICDM Workshops Doel L. Gonzalez, Zhengzhang Chen, Isaac K. Tetteh, Tatdow Pansombut, Fredrick H. M. Semazzi, Vipin Kumar, Anatoli V. Melechko, Nagiza F. Samatova
2012	—	`conf`	Importance of vegetation type in forest cover estimation. CIDU Anuj Karpatne, Mace Blank, Michael Lau, Shyam Boriah, Karsten Steinhaeuser, Michael S. Steinbach, Vipin Kumar
2012	—	`conf`	Invited: Discovering combinatorial biomarkers. ICCABS Gowtham Atluri, Sanjoy Dey, Gang Fang, Sean Landman, Vanja Paunic, Wen Wang, Michael S. Steinbach, Vipin Kumar
2012	J	`jnl`	Mining Low-Support Discriminative Patterns from Dense and High-Dimensional Data. IEEE Trans. Knowl. Data Eng. Gang Fang, Gaurav Pandey, Wen Wang, Manish Gupta, Michael S. Steinbach, Vipin Kumar
2012	—	`conf`	Mining time-lagged relationships in spatio-temporal climate data. CIDU Jaya Kawale, Stefan Liess, Vipin Kumar, Upmanu Lall, Auroop R. Ganguly
2012	—	`conf`	On the path to sustainable, scalable, and energy-efficient data analytics: Challenges, promises, and future directions. IGCC Sriram Lakshminarasimhan, Prabhat Kumar, Wei-keng Liao, Alok N. Choudhary, Vipin Kumar, Nagiza F. Samatova
2012	—	`conf`	Prediction of HLA Genes from SNP Data and HLA Haplotype Frequencies. ICDM Workshops Vanja Paunic, Michael S. Steinbach, Vipin Kumar, Martin Maiers
2012	C	`conf`	Spatially penalized regression for dependence analysis of rare events: A study in precipitation extremes. IGARSS Debasish Das, Auroop R. Ganguly, Snigdhansu Chatterjee, Vipin Kumar, Zoran Obradovic
2012	A*	`conf`	Testing the significance of spatio-temporal teleconnection patterns. KDD Jaya Kawale, Snigdhansu Chatterjee, Dominick Ormsby, Karsten Steinhaeuser, Stefan Liess, Vipin Kumar
2012	—	`conf`	Time series change detection using segmentation: A case study for land cover monitoring. CIDU Varun Mithal, Zachary O'Connor, Karsten Steinhaeuser, Shyam Boriah, Vipin Kumar, Christopher Potter, Steven A. Klooster
2012	A	`conf`	Toward Data-driven, Semi-automatic Inference of Phenomenological Physical Models: Application to Eastern Sahel Rainfall. SDM Saurabh V. Pendse, Isaac K. Tetteh, Fredrick H. M. Semazzi, Vipin Kumar, Nagiza F. Samatova
2011	—	`conf`	A Model-Free Time Series Segmentation Approach for Land Cover Change Detection. CIDU Ashish Garg, Lydia Manikonda, Shashank Kumar, Vikrant Krishna, Shyam Boriah, Michael S. Steinbach, Durga Toshnival, Vipin Kumar, Christopher Potter, Steven A. Klooster
2011	—	`conf`	A Novel Time Series Based Approach to Detect Gradual Vegetation Changes in Forests. CIDU Yashu Chamber, Ashish Garg, Varun Mithal, Ivan Brugere, Vipin Kumar, Michael Lau, Michael S. Steinbach, Christopher Potter, Steven A. Klooster, Vikrant Krishna, Shyam Boriah
2011	A*	`conf`	A simple statistical model and association rule filtering for classification. KDD György J. Simon, Vipin Kumar, Peter W. Li
2011	—	`conf`	Anomaly Construction in Climate Data: Issues and Challenges. CIDU Jaya Kawale, Snigdhansu Chatterjee, Arjun Kumar, Stefan Liess, Michael S. Steinbach, Vipin Kumar
2011	J	`jnl`	Characterizing Discriminative Patterns CoRR Gang Fang, Wen Wang, Benjamin Oatley, Brian Van Ness, Michael S. Steinbach, Vipin Kumar
2011	A*	`conf`	Classification of Emerging Extreme Event Tracks in Multivariate Spatio-Temporal Physical Systems Using Dynamic Network Structures: Application to Hurricane Track Prediction. IJCAI Huseyin Sencan, Zhengzhang Chen, William Hendrix, Tatdow Pansombut, Fredrick H. M. Semazzi, Alok N. Choudhary, Vipin Kumar, Anatoli V. Melechko, Nagiza F. Samatova
2011	—	`conf`	Data Guided Discovery of Dynamic Climate Dipoles. CIDU Jaya Kawale, Stefan Liess, Arjun Kumar, Michael S. Steinbach, Auroop R. Ganguly, Nagiza F. Samatova, Fredrick H. M. Semazzi, Peter K. Snyder, Vipin Kumar
2011	A	`conf`	Discovering Dynamic Dipoles in Climate Data. SDM Jaya Kawale, Michael S. Steinbach, Vipin Kumar
2011	J	`jnl`	Discovery of error-tolerant biclusters from noisy gene expression data. BMC Bioinform. Rohit Gupta, Navneet Rao, Vipin Kumar
2011	C	`conf`	Gopher: Global observation of Planetary Health and Ecosystem Resources. IGARSS Ashish Garg, Varun Mithal, Yashu Chamber, Ivan Brugere, Vijay Chaudhari, Marc Dunham, Vikrant Krishna, Sairam Krishnamurthy, Sruthi Vangala, Shyam Boriah, Michael S. Steinbach, Vipin Kumar, Albert Cho, J. D. Stanley, Teji Abraham, Juan Carlos Castilla-Rubio, Christopher Potter, Steven A. Klooster
2011	—	`conf`	Incorporating Natural Variation into Time Series-Based Land Cover Change Detection. CIDU Varun Mithal, Ashish Garg, Ivan Brugere, Shyam Boriah, Vipin Kumar, Michael S. Steinbach, Christopher Potter, Steven A. Klooster
2011	J	`jnl`	Monitoring global forest cover using data mining. ACM Trans. Intell. Syst. Technol. Varun Mithal, Ashish Garg, Shyam Boriah, Michael S. Steinbach, Vipin Kumar, Christopher Potter, Steven A. Klooster, Juan Carlos Castilla-Rubio
2011	—	`conf`	Using Constraints to Generate and Explore Higher Order Discriminative Patterns. PAKDD (1) Michael S. Steinbach, Haoyu Yu, Gang Fang, Vipin Kumar
2010	—	`conf`	A Comparative Study Of Algorithms For Land Cover Change. CIDU Shyam Boriah, Varun Mithal, Ashish Garg, Vipin Kumar, Michael S. Steinbach, Christopher Potter, Steven A. Klooster
2010	—	`conf`	A Knowledge Discovery Strategy for Relating Sea Surface Temperatures to Frequencies of Tropical Storms and Generating Predictions of Hurricanes Under 21st-century Global Warming Scenarios. CIDU Caitlin Race, Michael S. Steinbach, Auroop R. Ganguly, Fredrick H. M. Semazzi, Vipin Kumar
2010	—	`conf`	A reference based analysis framework for analyzing system call traces. CSIIRW Varun Chandola, Shyam Boriah, Vipin Kumar
2010	J	`jnl`	An Integrative Multi-Network and Multi-Classifier Approach to Predict Genetic Interactions. PLoS Comput. Biol. Gaurav Pandey, Bin Zhang, Aaron N. Chang, Chad L. Myers, Jun Zhu, Vipin Kumar, Eric E. Schadt
2010	C	`conf`	Automated detection of forest cover changes. IGARSS Shyam Boriah, Varun Mithal, Ashish Garg, Michael S. Steinbach, Vipin Kumar, Christopher Potter, Steven A. Klooster, Juan Carlos Castilla-Rubio
2010	—	`conf`	Discovery of Patterns in Global Earth Science Data Using Data Mining. PAKDD (1) Vipin Kumar
2010	—	`conf`	Identification of co-occurring insertions in cancer genomes using association analysis. BIBM Workshops Michael S. Steinbach, Haoyu Yu, Vipin Kumar
2010	—	`conf`	Integrative Biomarker Discovery for Breast Cancer Metastasis from Gene Expression and Protein Interaction Data Using Error-tolerant Pattern Mining. BICoB Rohit Gupta, Smita Agrawal, Navneet Rao, Ze Tian, Rui Kuang, Vipin Kumar
2010	Misc	`conf`	Subspace Differential Coexpression Analysis: Problem Definition and a General Approach. Pacific Symposium on Biocomputing Gang Fang, Rui Kuang, Gaurav Pandey, Michael S. Steinbach, Chad L. Myers, Vipin Kumar
2009	A	`conf`	A Framework for Exploring Categorical Data. SDM Varun Chandola, Shyam Boriah, Vipin Kumar
2009	A*	`conf`	An association analysis approach to biclustering. KDD Gaurav Pandey, Gowtham Atluri, Michael S. Steinbach, Chad L. Myers, Vipin Kumar
2009	J	`jnl`	Anomaly detection: A survey. ACM Comput. Surv. Varun Chandola, Arindam Banerjee, Vipin Kumar
2009	—	`conf`	Association Analysis Techniques for Bioinformatics Problems. BICoB Gowtham Atluri, Rohit Gupta, Gang Fang, Gaurav Pandey, Michael S. Steinbach, Vipin Kumar
2009	—	`conf`	Association analysis techniques for analyzing complex biological data sets. GENSiPS Gaurav Pandey, Gowtham Atluri, Gang Fang, Rohit Gupta, Michael S. Steinbach, Vipin Kumar
2009	J	`jnl`	Characterizing pattern preserving clustering. Knowl. Inf. Syst. Hui Xiong, Michael S. Steinbach, Arifin Ruslim, Vipin Kumar
2009	J	`jnl`	Incorporating functional inter-relationships into protein function prediction algorithms. BMC Bioinform. Gaurav Pandey, Chad L. Myers, Vipin Kumar
2009	—	`ch.`	Load Balancing for Parallel Optimization Techniques. Encyclopedia of Optimization Ananth Grama, Vipin Kumar
2009	—	`ch.`	Pattern Preserving Clustering. Encyclopedia of Data Warehousing and Mining Hui Xiong, Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar, Wenjun Zhou
2009	—	`ch.`	Scientific Data Analysis. Scientific Data Management Chandrika Kamath, Nikil Wale, George Karypis, Gaurav Pandey, Vipin Kumar, Krishna Rajan, Nagiza F. Samatova, Paul Breimyer, Guruprasad Kora, Chongle Pan, Srikanth B. Yoginath
2008	A*	`conf`	Comparative Evaluation of Anomaly Detection Techniques for Sequence Data. ICDM Varun Chandola, Varun Mithal, Vipin Kumar
2008	J	`jnl`	Data Analysis in the 21st Century. Stat. Anal. Data Min. Arnold Goodman, Chandrika Kamath, Vipin Kumar
2008	—	`ch.`	Detecting Ecosystem Disturbances and Land Cover Change Using Data Mining. Next Generation of Data Mining Shyam Boriah, Vipin Kumar, Michael S. Steinbach, Pang-Ning Tan, Christopher Potter, Steven A. Klooster
2008	A*	`conf`	Land cover change detection: a case study. KDD Shyam Boriah, Vipin Kumar, Michael S. Steinbach, Christopher Potter, Steven A. Klooster
2008	—	`book`	Next Generation of Data Mining. Hillol Kargupta, Jiawei Han, Philip S. Yu, Rajeev Motwani, Vipin Kumar
2008	A*	`conf`	Quantitative evaluation of approximate frequent pattern mining algorithms. KDD Rohit Gupta, Gang Fang, Blayne Field, Michael S. Steinbach, Vipin Kumar
2008	J	`jnl`	Robust and efficient identification of biomarkers by classifying features on graphs. Bioinform. Taehyun Hwang, Hugues Sicotte, Ze Tian, Baolin Wu, Jean-Pierre A. Kocher, Dennis A. Wigle, Vipin Kumar, Rui Kuang
2008	A*	`conf`	Semi-supervised approach to rapid and reliable labeling of large data sets. KDD György J. Simon, Vipin Kumar, Zhi-Li Zhang
2008	A	`conf`	Similarity Measures for Categorical Data: A Comparative Evaluation. SDM Shyam Boriah, Varun Chandola, Vipin Kumar
2008	—	`conf`	Systematic Evaluation of Scaling Methods for Gene Expression Data. BIBM Gaurav Pandey, Lakshmi Naarayanan Ramakrishnan, Michael S. Steinbach, Vipin Kumar
2008	J	`jnl`	Top 10 algorithms in data mining. Knowl. Inf. Syst. Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus F. M. Ng, Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael S. Steinbach, David J. Hand, Dan Steinberg
2007	A*	`conf`	Association analysis-based transformations for protein interaction networks: a function prediction case study. KDD Gaurav Pandey, Michael S. Steinbach, Rohit Gupta, Tushar Garg, Vipin Kumar
2007	Misc	`conf`	DDDAS/ITR: A Data Mining and Exploration Middleware for Grid and Distributed Computing. International Conference on Computational Science (1) Jon B. Weissman, Vipin Kumar, Varun Chandola, Eric Eilertson, Levent Ertöz, György J. Simon, Seonho Kim, Jinoh Kim
2007	A	`conf`	Estimating False Negatives for Classification Problems with Cluster Structure. SDM György J. Simon, Vipin Kumar, Zhi-Li Zhang
2007	J	`jnl`	Generalizing the notion of confidence. Knowl. Inf. Syst. Michael S. Steinbach, Vipin Kumar
2007	Misc	`conf`	High Performance Data Mining - Application for Discovery of Patterns in the Global Climate System. HiPC Vipin Kumar
2007	—	`ch.`	Scalability of Parallel Programs. Handbook of Parallel Computing Ananth Grama, Vipin Kumar
2007	J	`jnl`	Summarization - compressing data into an informative representation. Knowl. Inf. Syst. Varun Chandola, Vipin Kumar
2006	—	`ed.`	Computational Science and Its Applications - ICCSA 2006, International Conference, Glasgow, UK, May 8-11, 2006, Proceedings, Part I ICCSA (1) Marina L. Gavrilova, Osvaldo Gervasi, Vipin Kumar, Chih Jeng Kenneth Tan, David Taniar, Antonio Laganà, Youngsong Mun, Hyunseung Choo
2006	—	`ed.`	Computational Science and Its Applications - ICCSA 2006, International Conference, Glasgow, UK, May 8-11, 2006, Proceedings, Part II ICCSA (2) Marina L. Gavrilova, Osvaldo Gervasi, Vipin Kumar, Chih Jeng Kenneth Tan, David Taniar, Antonio Laganà, Youngsong Mun, Hyunseung Choo
2006	—	`ed.`	Computational Science and Its Applications - ICCSA 2006, International Conference, Glasgow, UK, May 8-11, 2006, Proceedings, Part III ICCSA (3) Marina L. Gavrilova, Osvaldo Gervasi, Vipin Kumar, Chih Jeng Kenneth Tan, David Taniar, Antonio Laganà, Youngsong Mun, Hyunseung Choo
2006	—	`ed.`	Computational Science and Its Applications - ICCSA 2006, International Conference, Glasgow, UK, May 8-11, 2006, Proceedings, Part IV ICCSA (4) Marina L. Gavrilova, Osvaldo Gervasi, Vipin Kumar, Chih Jeng Kenneth Tan, David Taniar, Antonio Laganà, Youngsong Mun, Hyunseung Choo
2006	—	`ed.`	Computational Science and Its Applications - ICCSA 2006, International Conference, Glasgow, UK, May 8-11, 2006, Proceedings, Part V ICCSA (5) Marina L. Gavrilova, Osvaldo Gervasi, Vipin Kumar, Chih Jeng Kenneth Tan, David Taniar, Antonio Laganà, Youngsong Mun, Hyunseung Choo
2006	B	`conf`	Divide and conquer approach for efficient pagerank computation. ICWE Prasanna Kumar Desikan, Nishith Pathak, Jaideep Srivastava, Vipin Kumar
2006	J	`jnl`	Enhancing Data Analysis with Noise Removal. IEEE Trans. Knowl. Data Eng. Hui Xiong, Gaurav Pandey, Michael S. Steinbach, Vipin Kumar
2006	J	`jnl`	Hyperclique pattern discovery. Data Min. Knowl. Discov. Hui Xiong, Pang-Ning Tan, Vipin Kumar
2006	J	`jnl`	Privacy leakage in multi-relational databases: a semi-supervised learning perspective. VLDB J. Hui Xiong, Michael S. Steinbach, Vipin Kumar
2006	A	`conf`	Scan Detection: A Data Mining Approach. SDM György J. Simon, Hui Xiong, Eric Eilertson, Vipin Kumar
2006	J	`jnl`	TAPER: A Two-Step Approach for All-Strong-Pairs Correlation Query in Large Databases. IEEE Trans. Knowl. Data Eng. Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Kumar
2005	—	`ed.`	Computational Science and Its Applications - ICCSA 2005, International Conference, Singapore, May 9-12, 2005, Proceedings, Part I ICCSA (1) Osvaldo Gervasi, Marina L. Gavrilova, Vipin Kumar, Antonio Laganà, Heow Pueh Lee, Youngsong Mun, David Taniar, Chih Jeng Kenneth Tan
2005	—	`ed.`	Computational Science and Its Applications - ICCSA 2005, International Conference, Singapore, May 9-12, 2005, Proceedings, Part II ICCSA (2) Osvaldo Gervasi, Marina L. Gavrilova, Vipin Kumar, Antonio Laganà, Heow Pueh Lee, Youngsong Mun, David Taniar, Chih Jeng Kenneth Tan
2005	—	`ed.`	Computational Science and Its Applications - ICCSA 2005, International Conference, Singapore, May 9-12, 2005, Proceedings, Part III ICCSA (3) Osvaldo Gervasi, Marina L. Gavrilova, Vipin Kumar, Antonio Laganà, Heow Pueh Lee, Youngsong Mun, David Taniar, Chih Jeng Kenneth Tan
2005	—	`ed.`	Computational Science and Its Applications - ICCSA 2005, International Conference, Singapore, May 9-12, 2005, Proceedings, Part IV ICCSA (4) Osvaldo Gervasi, Marina L. Gavrilova, Vipin Kumar, Antonio Laganà, Heow Pueh Lee, Youngsong Mun, David Taniar, Chih Jeng Kenneth Tan
2005	Misc	`conf`	Feature Mining for Prediction of Degree of Liver Fibrosis. AMIA Benjamin W. Mayer, Huzefa Rangwala, Rohit Gupta, Jaideep Srivastava, George Karypis, Vipin Kumar, Piet C. de Groen
2005	A*	`conf`	Feature bagging for outlier detection. KDD Aleksandar Lazarevic, Vipin Kumar
2005	A*	`conf`	Generalizing the Notion of Confidence. ICDM Michael S. Steinbach, Vipin Kumar
2005	J	`jnl`	IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition. IEEE Trans. Knowl. Data Eng. Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar
2005	Misc	`conf`	Identification of Functional Modules in Protein Complexes via Hyperclique Pattern Discovery. Pacific Symposium on Biocomputing Hui Xiong, Xiaofeng He, Chris H. Q. Ding, Ya Zhang, Vipin Kumar, Stephen R. Holbrook
2005	—	`conf`	Incremental page rank computation on evolving graphs. WWW (Special interest tracks and posters) Prasanna Kumar Desikan, Nishith Pathak, Jaideep Srivastava, Vipin Kumar
2005	—	`book`	Introduction to Data Mining Pang-Ning Tan, Michael S. Steinbach, Vipin Kumar
2005	A	`conf`	Privacy leakage in multi-relational databases via pattern based semi-supervised learning. CIKM Hui Xiong, Michael S. Steinbach, Vipin Kumar
2005	A*	`conf`	Summarization - Compressing Data into an Informative Representation. ICDM Varun Chandola, Vipin Kumar
2004	A	`conf`	A Framework for Discovering Co-Location Patterns in Data Sets with Extended Spatial Objects. SDM Hui Xiong, Shashi Shekhar, Yan Huang, Vipin Kumar, Xiaobin Ma, Jin Soung Yoo
2004	A	`conf`	CREDOS: Classification Using Ripple Down Structure (A Case for Rare Classes). SDM Mahesh V. Joshi, Vipin Kumar
2004	—	`ed.`	Computational Science and Its Applications - ICCSA 2004, International Conference, Assisi, Italy, May 14-17, 2004, Proceedings, Part I ICCSA (1) Antonio Laganà, Marina L. Gavrilova, Vipin Kumar, Youngsong Mun, Chih Jeng Kenneth Tan, Osvaldo Gervasi
2004	—	`ed.`	Computational Science and Its Applications - ICCSA 2004, International Conference, Assisi, Italy, May 14-17, 2004, Proceedings, Part II ICCSA (2) Antonio Laganà, Marina L. Gavrilova, Vipin Kumar, Youngsong Mun, Chih Jeng Kenneth Tan, Osvaldo Gervasi
2004	—	`ed.`	Computational Science and Its Applications - ICCSA 2004, International Conference, Assisi, Italy, May 14-17, 2004, Proceedings, Part III ICCSA (3) Antonio Laganà, Marina L. Gavrilova, Vipin Kumar, Youngsong Mun, Chih Jeng Kenneth Tan, Osvaldo Gervasi
2004	—	`ed.`	Computational Science and Its Applications - ICCSA 2004, International Conference, Assisi, Italy, May 14-17, 2004, Proceedings, Part IV ICCSA (4) Antonio Laganà, Marina L. Gavrilova, Vipin Kumar, Youngsong Mun, Chih Jeng Kenneth Tan, Osvaldo Gervasi
2004	—	`ch.`	Data Mining. Handbook of Data Structures and Applications Vipin Kumar, Pang-Ning Tan, Michael S. Steinbach
2004	A*	`conf`	Exploiting a support-based upper bound of Pearson's correlation coefficient for efficiently identifying strongly correlated pairs. KDD Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Kumar
2004	A*	`conf`	Generalizing the notion of support. KDD Michael S. Steinbach, Pang-Ning Tan, Hui Xiong, Vipin Kumar
2004	A	`conf`	HICAP: Hierarchical Clustering with Pattern Preservation. SDM Hui Xiong, Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar
2004	A*	`conf`	IDR/QR: an incremental dimension reduction algorithm via QR decomposition. KDD Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar
2004	A	`conf`	RBA: An Integrated Framework for Regression based on Association Rules. SDM Aysel Ozgur, Pang-Ning Tan, Vipin Kumar
2004	J	`jnl`	Selecting the right objective measure for association analysis. Inf. Syst. Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava
2004	A*	`conf`	Support envelopes: a technique for exploring the structure of association patterns. KDD Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar
2003	A	`conf`	A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection. SDM Aleksandar Lazarevic, Levent Ertöz, Vipin Kumar, Aysel Ozgur, Jaideep Srivastava
2003	B	`conf`	A New Clustering Algorithm for Transaction Data via Caucus. PAKDD Jinmei Xu, Hui Xiong, Sam Yuan Sung, Vipin Kumar
2003	—	`ed.`	Computational Science and Its Applications - ICCSA 2003, International Conference, Montreal, Canada, May 18-21, 2003, Proceedings, Part I ICCSA (1) Vipin Kumar, Marina L. Gavrilova, Chih Jeng Kenneth Tan, Pierre L'Ecuyer
2003	—	`ed.`	Computational Science and Its Applications - ICCSA 2003, International Conference, Montreal, Canada, May 18-21, 2003, Proceedings, Part II ICCSA (2) Vipin Kumar, Marina L. Gavrilova, Chih Jeng Kenneth Tan, Pierre L'Ecuyer
2003	—	`ed.`	Computational Science and Its Applications - ICCSA 2003, International Conference, Montreal, Canada, May 18-21, 2003, Proceedings, Part III ICCSA (3) Vipin Kumar, Marina L. Gavrilova, Chih Jeng Kenneth Tan, Pierre L'Ecuyer
2003	B	`conf`	Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach. PAKDD Pusheng Zhang, Yan Huang, Shashi Shekhar, Vipin Kumar
2003	—	`conf`	Damage prediction in structural mechanics using partitioning approach. Data Mining and Knowledge Discovery: Theory, Tools, and Technology Aleksandar Lazarevic, Ramdev Kanapady, Kumar K. Tamma, Chandrika Kamath, Vipin Kumar
2003	A*	`conf`	Discovery of climate indices using clustering. KDD Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar, Steven A. Klooster, Christopher Potter
2003	B	`conf`	Exploiting Spatial Autocorrelation to Efficiently Process Correlation-Based Similarity Queries. SSTD Pusheng Zhang, Yan Huang, Shashi Shekhar, Vipin Kumar
2003	A	`conf`	Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data. SDM Levent Ertöz, Michael S. Steinbach, Vipin Kumar
2003	—	`ch.`	Finding Topics in Collections of Documents: A Shared Nearest Neighbor Approach. Clustering and Information Retrieval Levent Ertöz, Michael S. Steinbach, Vipin Kumar
2003	A*	`conf`	Localized Prediction of Continuous Target Variables Using Hierarchical Clustering. ICDM Aleksandar Lazarevic, Ramdev Kanapady, Chandrika Kamath, Vipin Kumar, Kumar K. Tamma
2003	A*	`conf`	Mining Strong Affinity Association Patterns in Data Sets with Skewed Support Distribution. ICDM Hui Xiong, Pang-Ning Tan, Vipin Kumar
2003	Misc	`conf`	Optimizing F-Measure with Support Vector Machines. FLAIRS David R. Musicant, Vipin Kumar, Aysel Ozgur
2003	J	`jnl`	Predicting the Performance of Randomized Parallel Search: An Application to Robot Motion Planning. J. Intell. Robotic Syst. Daniel J. Challou, Maria L. Gini, Vipin Kumar, George Karypis
2003	—	`conf`	Usage Aware PageRank. WWW (Posters) B. Uygar Oztekin, Levent Ertöz, Vipin Kumar
2002	J	`jnl`	Discovery of Web Robot Sessions Based on their Navigational Patterns. Data Min. Knowl. Discov. Pang-Ning Tan, Vipin Kumar
2002	J	`jnl`	Emerging scientific applications in data mining. Commun. ACM Jiawei Han, Russ B. Altman, Vipin Kumar, Heikki Mannila, Daryl Pregibon
2002	A*	`conf`	Expert agreement and content based reranking in a meta search environment using Mearf. WWW B. Uygar Oztekin, George Karypis, Vipin Kumar
2002	—	`conf`	High Performance Data Mining. VECPAR Vipin Kumar, Mahesh V. Joshi, Eui-Hong Han, Pang-Ning Tan, Michael S. Steinbach
2002	J	`jnl`	Parallel static and dynamic multi-constraint graph partitioning. Concurr. Comput. Pract. Exp. Kirk Schloegel, George Karypis, Vipin Kumar
2002	—	`conf`	Predicting Rare Classes: Comparing Two-Phase Rule Induction to Cost-Sensitive Boosting. PKDD Mahesh V. Joshi, Ramesh C. Agarwal, Vipin Kumar
2002	A*	`conf`	Predicting rare classes: can boosting make any weak learner strong? KDD Mahesh V. Joshi, Ramesh C. Agarwal, Vipin Kumar
2002	A	`ed.`	Proceedings of the Second SIAM International Conference on Data Mining, Arlington, VA, USA, April 11-13, 2002 SDM Robert L. Grossman, Jiawei Han, Vipin Kumar, Heikki Mannila, Rajeev Motwani
2002	A*	`conf`	Selecting the right interestingness measure for association patterns. KDD Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava
2001	Misc	`conf`	Architecture Independent Analysis of Parallel Programs. International Conference on Computational Science (2) Ananth Grama, Vipin Kumar, Sanjay Ranka, Vineet Singh
2001	A*	`conf`	Evaluating Boosting Algorithms to Classify Rare Classes: Comparison and Improvements. ICDM Mahesh V. Joshi, Vipin Kumar, Ramesh C. Agarwal
2001	C	`conf`	Graph Partitioning for Dynamic, Adaptive and Multi-phase Scientific Simulations. CLUSTER Kirk Schloegel, George Karypis, Vipin Kumar
2001	J	`jnl`	Guest Editors' Introduction: Special Issue on High-Performance Data Mining. J. Parallel Distributed Comput. Vipin Kumar, Sanjay Ranka, Vineet Singh
2001	—	`conf`	Mining Indirect Associations in Web Data. WebKDD Pang-Ning Tan, Vipin Kumar
2001	—	`conf`	Mining Needle in a Haystack: Classifying Rare Classes via Two-phase Rule Induction. SIGMOD Conference Mahesh V. Joshi, Ramesh C. Agarwal, Vipin Kumar
2001	B	`conf`	Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification. PAKDD Eui-Hong Han, George Karypis, Vipin Kumar
2001	J	`jnl`	Wavefront Diffusion and LMSR: Algorithms for Dynamic Repartitioning of Adaptive Meshes. IEEE Trans. Parallel Distributed Syst. Kirk Schloegel, George Karypis, Vipin Kumar
2000	A	`conf`	A Unified Algorithm for Load-balancing Adaptive Scientific Simulations. SC Kirk Schloegel, George Karypis, Vipin Kumar
2000	A*	`conf`	Distributed and parallel knowledge discovery (workshop session - title only). KDD Hillol Kargupta, Philip Chan, Vipin Kumar, Zoran Obradovic
2000	—	`conf`	Graph Partitioning for Dynamic, Adaptive, and Multi-phase Computations. IPDPS Workshops Vipin Kumar, Kirk Schloegel, George Karypis
2000	—	`conf`	High performance data mining (tutorial PM-3). KDD Tutorial Notes Vipin Kumar, Mohammed J. Zaki
2000	—	`conf`	Indirect Association: Mining Higher Order Dependencies in Data. PKDD Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava
2000	—	`conf`	Load Balancing Across Near-Homogeneous Multi-Resource Servers. Heterogeneous Computing Workshop William Leinberger, George Karypis, Vipin Kumar
2000	—	`conf`	Memory Management Techniques for Gang Scheduling. Euro-Par William Leinberger, George Karypis, Vipin Kumar
2000	J	`jnl`	Multilevel VLSI Design George Karypis, Vipin Kumar
2000	—	`conf`	Parallel Multilevel Algorithms for Multi-constraint Graph Partitioning (Distinguished Paper). Euro-Par Kirk Schloegel, George Karypis, Vipin Kumar
2000	J	`jnl`	Report from the Workshop on Distributed and Parallel Knowledge Discovery, ACM SIGKDD-2000. SIGKDD Explor. Hillol Kargupta, Joydeep Ghosh, Vipin Kumar, Zoran Obradovic
2000	J	`jnl`	Scalable Parallel Data Mining for Association Rules. IEEE Trans. Knowl. Data Eng. Eui-Hong Han, George Karypis, Vipin Kumar
1999	—	`conf`	A New Algorithm for Multi-objective Graph Partitioning. Euro-Par Kirk Schloegel, George Karypis, Vipin Kumar
1999	J	`jnl`	Chameleon: Hierarchical Clustering Using Dynamic Modeling. Computer George Karypis, Eui-Hong Han, Vipin Kumar
1999	J	`jnl`	Document Categorization and Query Generation on the World Wide Web Using WebACE. Artif. Intell. Rev. Daniel Boley, Maria L. Gini, Robert Gross, Eui-Hong Han, Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher, Jerome Moore
1999	—	`conf`	Dynamic Repartitioning of Adaptively Refined Meshes. PP Kirk Schloegel, George Karypis, Vipin Kumar
1999	—	`conf`	Efficient Parallel Algorithms for Mining Associations. Large-Scale Parallel Data Mining Mahesh V. Joshi, Eui-Hong Han, George Karypis, Vipin Kumar
1999	Misc	`conf`	High Performance Data Mining. HiPC Vipin Kumar, Jaideep Srivastava
1999	J	`jnl`	Information power grid: The new frontier in parallel computing? IEEE Concurr. William Leinberger, Vipin Kumar
1999	A	`conf`	Job Scheduling in the presence of Multiple Resource Requirements. SC William Leinberger, George Karypis, Vipin Kumar
1999	B	`conf`	Multi-Capacity Bin Packing Algorithms with Applications to Job Scheduling under Multiple Constraints. ICPP William Leinberger, George Karypis, Vipin Kumar
1999	A*	`conf`	Multilevel DAC George Karypis, Vipin Kumar
1999	J	`jnl`	Multilevel hypergraph partitioning: applications in VLSI domain. IEEE Trans. Very Large Scale Integr. Syst. George Karypis, Rajat Aggarwal, Vipin Kumar, Shashi Shekhar
1999	—	`conf`	PSPASES: An Efficient and Scalable Parallel Sparse Direct Solver. PP Mahesh V. Joshi, George Karypis, Vipin Kumar, Anshul Gupta, Fred G. Gustavson
1999	J	`jnl`	Parallel Formulations of Decision-Tree Classification Algorithms. Data Min. Knowl. Discov. Anurag Srivastava, Eui-Hong Han, Vipin Kumar, Vineet Singh
1999	J	`jnl`	Parallel Multilevel series k-Way Partitioning Scheme for Irregular Graphs. SIAM Rev. George Karypis, Vipin Kumar
1999	J	`jnl`	Partitioning-based clustering for Web document categorization. Decis. Support Syst. Daniel Boley, Maria L. Gini, Robert Gross, Eui-Hong Han, Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher, Jerome Moore
1999	J	`jnl`	State of the Art in Parallel Search Techniques for Discrete Optimization Problems. IEEE Trans. Knowl. Data Eng. Ananth Grama, Vipin Kumar
1998	J	`jnl`	A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs. SIAM J. Sci. Comput. George Karypis, Vipin Kumar
1998	J	`jnl`	A Parallel Algorithm for Multilevel Graph Partitioning and Sparse Matrix Ordering. J. Parallel Distributed Comput. George Karypis, Vipin Kumar
1998	J	`jnl`	Declustering and Load-Balancing Methods for Parallelizing Geographic Information Systems. IEEE Trans. Knowl. Data Eng. Shashi Shekhar, Sivakumar Ravada, Vipin Kumar, Douglas Chubb, Greg Turner
1998	A	`conf`	Dynamic Repartitioning of Adaptively Refined Meshes. SC Kirk Schloegel, George Karypis, Vipin Kumar
1998	J	`jnl`	Hypergraph Based Clustering in High-Dimensional Data Sets: A Summary of Results. IEEE Data Eng. Bull. Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad Mobasher
1998	B	`conf`	Load Balancing of Dynamic and Adaptive Mesh-Based Computations. SRDS Kirk Schloegel, George Karypis, Vipin Kumar
1998	A	`conf`	Multilevel Algorithms for Multi-Constraint Graph Partitioning. SC George Karypis, Vipin Kumar
1998	J	`jnl`	Multilevel k-way Partitioning Scheme for Irregular Graphs. J. Parallel Distributed Comput. George Karypis, Vipin Kumar
1998	B	`conf`	Parallel Formulations of Decision-Tree Classification Algorithms. ICPP Anurag Srivastava, Eui-Hong Han, Vipin Kumar, Vineet Singh
1998	J	`jnl`	Parallel Hierarchical Solvers and Preconditioners for Boundary Element Methods. SIAM J. Sci. Comput. Ananth Grama, Vipin Kumar, Ahmed H. Sameh
1998	—	`conf`	ScalParC: A New Scalable and Efficient Parallel Classification Algorithm for Mining Large Datasets. IPPS/SPDP Mahesh V. Joshi, George Karypis, Vipin Kumar
1998	J	`jnl`	Scalable Parallel Formulations of the Barnes-Hut Method for Parallel Comput. Ananth Grama, Vipin Kumar, Ahmed H. Sameh
1998	—	`conf`	WSSMP: A High-Performance Serial and Parallel Symmetric Sparse Linear Solver. PARA Anshul Gupta, Mahesh V. Joshi, Vipin Kumar
1998	—	`conf`	WebACE: A Web Agent for Document Categorization and Exploration. Agents Eui-Hong Han, Daniel Boley, Maria L. Gini, Robert Gross, Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher, Jerome Moore
1997	—	`conf`	A Coarse-Grain Parallel Formulation of Multilevel k-way Graph Partitioning Algorithm. PP George Karypis, Vipin Kumar
1997	Misc	`conf`	A high performance two dimensional scalable parallel algorithm for solving sparse triangular systems. HiPC Mahesh V. Joshi, Anshul Gupta, George Karypis, Vipin Kumar
1997	—	`conf`	Clustering Based On Association Rule Hypergraphs. DMKD Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad Mobasher
1997	—	`conf`	Design and Implementation of a Scalable Parallel Direct Solver for Sparse Symmetric Positive Definite Systems: Preliminary Results. PP Anshul Gupta, Fred G. Gustavson, Mahesh V. Joshi, George Karypis, Vipin Kumar
1997	J	`jnl`	Highly Scalable Parallel Algorithms for Sparse Matrix Factorization. IEEE Trans. Parallel Distributed Syst. Anshul Gupta, George Karypis, Vipin Kumar
1997	J	`jnl`	Multilevel Diffusion Schemes for Repartitioning of Adaptive Meshes. J. Parallel Distributed Comput. Kirk Schloegel, George Karypis, Vipin Kumar
1997	A*	`conf`	Multilevel Hypergraph Partitioning: Application in VLSI Domain. DAC George Karypis, Rajat Aggarwal, Vipin Kumar, Shashi Shekhar
1997	A	`conf`	Parallel Threshold-based ILU Factorization. SC George Karypis, Vipin Kumar
1997	—	`conf`	Repartitioning of Adaptive Meshes: Experiments with Multilevel Diffusion. Euro-Par Kirk Schloegel, George Karypis, Vipin Kumar
1997	—	`conf`	Role of Message-Passing in Performance Oriented Parallel Programming. PP Vipin Kumar, George Karypis, Ananth Grama
1997	—	`conf`	Scalable Parallel Data Mining for Association Rules. SIGMOD Conference Eui-Hong Han, George Karypis, Vipin Kumar
1996	A	`conf`	Parallel Hierarchical Solvers and Preconditioners for Boundary Element Methods. SC Ananth Grama, Vipin Kumar, Ahmed H. Sameh
1996	—	`conf`	Parallel Multilevel Graph Partitioning. IPPS George Karypis, Vipin Kumar
1996	A	`conf`	Parallel Multilevel k-way Partitioning Scheme for Irregular Graphs. SC George Karypis, Vipin Kumar
1996	J	`jnl`	Parallelizing a GIS on a Shared Address Space Architecture. Computer Shashi Shekhar, Sivakumar Ravada, Vipin Kumar, Douglas Chubb, Greg Turner
1995	—	`conf`	A Highly Parallel Interior Point Algorithm. PP George Karypis, Anshul Gupta, Vipin Kumar
1995	A*	`conf`	A parallel Formulation of Informed Randomized Search for Robot Motion Planning Problems. ICRA Daniel J. Challou, Daniel Boley, Maria L. Gini, Vipin Kumar
1995	A	`conf`	Analysis of Multilevel Graph Partitioning. SC George Karypis, Vipin Kumar
1995	—	`conf`	Load Balancing in High Performance GIS: Declustering Polygonal Maps. SSD Shashi Shekhar, Sivakumar Ravada, Vipin Kumar, Douglas Chubb, Greg Turner
1995	—	`conf`	Multilevel Graph Partitioning Schemes. ICPP (3) George Karypis, Vipin Kumar
1995	—	`conf`	N-Body Simulations Using Message Passsing Parallel Computers. PP Ananth Grama, Vipin Kumar, Ahmed H. Sameh
1995	—	`conf`	Optimally Scalable Parallel Sparse Cholesky Factorization. PP Anshul Gupta, Vipin Kumar
1995	A	`conf`	Parallel Algorithms for Forward and Back Substitution in Direct Solution of Sparse Linear Systems. SC Anshul Gupta, Vipin Kumar
1995	A	`conf`	Parallel Matrix-Vector Product Using Approximate Hierarchical Methods. SC Ananth Grama, Vipin Kumar, Ahmed H. Sameh
1995	J	`jnl`	Parallel Search Algorithms for Discrete Optimization Problems. INFORMS J. Comput. Ananth Grama, Vipin Kumar
1995	J	`jnl`	Performance and Scalability of Preconditioned Conjugate Gradient Methods on Parallel Computers. IEEE Trans. Parallel Distributed Syst. Anshul Gupta, Vipin Kumar, Ahmed H. Sameh
1994	J	`jnl`	A Scalable Parallel Formulation of the Backpropagation Algorithm for Hypercubes and Related Architectures. IEEE Trans. Parallel Distributed Syst. Vipin Kumar, Shashi Shekhar, Minesh B. Amin
1994	A	`conf`	A parallel formulation of interior point algorithms. SC George Karypis, Anshul Gupta, Vipin Kumar
1994	A	`conf`	A scalable parallel algorithm for sparse Cholesky factorization. SC Anshul Gupta, Vipin Kumar
1994	—	`conf`	Experiences with a Parallel Formulation of an Interior Point Algorithm. Parallel Processing of Discrete Optimization Problems George Karypis, Anshul Gupta, Vipin Kumar
1994	—	`book`	Introduction to Parallel Computing. Vipin Kumar, Ananth Grama, Anshul Gupta, George Karypis
1994	J	`jnl`	Scalable Load Balancing Techniques for Parallel Computers. J. Parallel Distributed Comput. Vipin Kumar, Ananth Grama, Nageshwara Rao Vempaty
1994	A	`conf`	Scalable parallel formulations of the Barnes-Hut method for SC Ananth Grama, Vipin Kumar, Ahmed H. Sameh
1994	J	`jnl`	Unstructured Tree Search on SIMD Parallel Computers. IEEE Trans. Parallel Distributed Syst. George Karypis, Vipin Kumar
1993	—	`conf`	Efficient Parallel Mappings of a Dynamic Programming Algorithm: A Summary of Results. IPPS George Karypis, Vipin Kumar
1993	J	`jnl`	Isoefficiency: measuring the scalability of parallel algorithms and architectures. IEEE Parallel Distributed Technol. Syst. Appl. Ananth Grama, Anshul Gupta, Vipin Kumar
1993	J	`jnl`	On the Efficiency of Parallel Backtracking. IEEE Trans. Parallel Distributed Syst. V. Nageshwara Rao, Vipin Kumar
1993	—	`conf`	Parallel Search Algorithms for Robot Motion Planning. ICRA (2) Daniel J. Challou, Maria L. Gini, Vipin Kumar
1993	—	`conf`	Parallel search algorithms for discrete optimization problems. System Modelling and Optimization Vipin Kumar, Ananth Y. Grama
1993	J	`jnl`	Performance Properties of Large Scale Parallel Systems. J. Parallel Distributed Comput. Anshul Gupta, Vipin Kumar
1993	—	`conf`	Performance and Scalability of Preconditioned Conjugate Gradient Methods on the CM-5. PPSC Anshul Gupta, Vipin Kumar, Ahmed H. Sameh
1993	—	`conf`	Scalability of Parallel Algorithms for Matrix Multiplication. ICPP (3) Anshul Gupta, Vipin Kumar
1993	J	`jnl`	The Scalability of FFT on Parallel Computers. IEEE Trans. Parallel Distributed Syst. Anshul Gupta, Vipin Kumar
1992	A	`conf`	Scalability Analysis of Partitioning Strategies for Finite Element Graphs: A Summary of Results. SC Ananth Grama, Vipin Kumar
1992	A	`conf`	Unstructured Tree Search on SIMD Parallel Computers: A Summary of Results. SC George Karypis, Vipin Kumar
1991	J	`jnl`	AND-Parallel Execution of Logic Programs on a Shared-Memory Multiprocessor. J. Log. Program. Yow-Jian Lin, Vipin Kumar
1991	A	`conf`	Analysis of scalability of parallel algorithms and architectures: a survey. ICS Vipin Kumar, Anshul Gupta
1991	J	`jnl`	Automatic test pattern generation on parallel processors. Parallel Comput. Sunil Arvindam, Vipin Kumar, V. Nageshwara Rao, Vineet Singh
1991	A*	`conf`	Depth-First Versus Best-First Search. AAAI Nageshwara Rao Vempaty, Vipin Kumar, Richard E. Korf
1991	J	`jnl`	Efficient algorithms for parallel sorting on mesh multicomputers. Int. J. Parallel Program. Vineet Singh, Vipin Kumar, Gul Agha, Chris Tomlinson
1991	J	`jnl`	Scalability of Parallel Algorithms for the All-Pairs Shortest-Path Problem. J. Parallel Distributed Comput. Vipin Kumar, Vineet Singh
1991	—	`conf`	Scalability of Parallel Sorting on Mesh Multicomputers. IPPS Vineet Singh, Vipin Kumar, Gul Agha, Chris Tomlinson
1990	—	`conf`	Scalability of Parallel Algorithms for the All-Pairs Shortest Path Problem: A Summary of Results. ICPP (3) Vipin Kumar, Vineet Singh
1989	—	`conf`	Automatic Test Pattern Generation on Multiprocessors: A Summary of Results. KBCS Sunil Arvindam, Vipin Kumar, V. Nageshwara Rao, Vineet Singh
1989	C	`conf`	Floorplan optimization on multiprocessors. ICCD Sunil Arvindam, Vipin Kumar, V. Nageshwara Rao
1988	J	`jnl`	A Data-Dependency-Based Intelligent Backtracking Scheme for Prolog. J. Log. Program. Vipin Kumar, Yow-Jian Lin
1988	—	`conf`	AND-Parallel Execution of Logic Programs on a Shared Memory Multiprocessor: A Summary of Results. ICLP/SLP Yow-Jian Lin, Vipin Kumar
1988	J	`jnl`	Concurrent Access of Priority Queues. IEEE Trans. Computers V. Nageshwara Rao, Vipin Kumar
1988	A*	`conf`	Parallel Best-First Search of State-Space Graphs: A Summary of Results. AAAI Vipin Kumar, K. Ramesh, V. Nageshwara Rao
1988	—	`conf`	Performance of And-Paralle Execution of Logic Programs on a Shared-Memory Multiprocessor. FGCS Yow-Jian Lin, Vipin Kumar
1988	—	`conf`	Superlinear Speedup in Parallel State-Space Search. FSTTCS V. Nageshwara Rao, Vipin Kumar
1987	A*	`conf`	A Parallel Implementation of Iterative-Deepening-A*. AAAI V. Nageshwara Rao, Vipin Kumar, K. Ramesh
1987	—	`conf`	An Intelligent Backtracking Scheme for Prolog. SLP Vipin Kumar, Yow-Jian Lin
1987	J	`jnl`	Parallel depth first search. Part I. Implementation. Int. J. Parallel Program. V. Nageshwara Rao, Vipin Kumar
1987	J	`jnl`	Parallel depth first search. Part II. Analysis. Int. J. Parallel Program. Vipin Kumar, V. Nageshwara Rao
1986	—	`conf`	A Framework for Intelligent Backtracking in Logic Programs. FSTTCS Vipin Kumar, Yow-Jian Lin
1986	B	`conf`	A Parallel Execution Scheme for Exploiting and Parallelism of Logic Programs. ICPP Vipin Kumar, Yow-Jian Lin
1986	B	`conf`	An Intelligent Backtracking Algorithm for Parallel Execution of Logic Programs. ICLP Yow-Jian Lin, Vipin Kumar, Clement H. C. Leung