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ORCIDVipin Kumar 0001
Person information
- affiliation: University of Minnesota, Department of Computer Science and Engineering, USA
Other persons with the same name
- Vipin Kumar — disambiguation page
- Vipin Kumar 0002 — Jawaharlal Nehru University, School of Computer and Systems Sciences, New Delhi, India
- Vipin Kumar 0003
![[0000-0002-7068-5426]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-7068-5426")
— Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany (and 1 more) - Vipin Kumar 0004 — Lovely Professional University, Department of Computer Science Engineering, India
- Vipin Kumar 0005 — Bharat Electronics Limited, Product Development & Innovation Center, Bangalore, India
- Vipin Kumar 0006 — University of Maryland College Park, Laboratory for Pattern Analysis, Computer Science Departmen, MD, USA
- Vipin Kumar 0007 — National Institute of Technology Sikkim, Department of Electronics and Communication Engineering, Ravangla, India
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Books and Theses
- 2019
[b3]Pang-Ning Tan, Michael S. Steinbach, Anuj Karpatne, Vipin Kumar:
Introduction to Data Mining (Second Edition). Pearson 2019- 2005
- [b2]Pang-Ning Tan, Michael S. Steinbach, Vipin Kumar:
Introduction to Data Mining. Addison-Wesley 2005, ISBN 0-321-32136-7 - 1994
- [b1]Vipin Kumar, Ananth Grama, Anshul Gupta, George Karypis:
Introduction to Parallel Computing. Benjamin/Cummings 1994, ISBN 0-8053-3170-0
Journal Articles
- 2025
- [j98]Haoyu Yang, Michael S. Steinbach, Genevieve B. Melton, Vipin Kumar, György J. Simon:
Combining self-supervision and privileged information for representation learning from tabular data. Knowl. Inf. Syst. 67(8): 6907-6935 (2025) - 2023
- [j97]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): 66:1-66:37 (2023) - [j96]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): 141 (2023) - 2021
- [j95]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): 72-79 (2021) - [j94]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): 1740 (2021) - [j93]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): 20:1-20:26 (2021) - [j92]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): 11:1-11:49 (2021) - [j91]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): 2476-2486 (2021) - 2020
- [j90]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): 6 (2020) - [j89]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): 636 (2020) - [j88]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): 1798-1811 (2020) - 2019
- [j87]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:
Intelligent systems for geosciences: an essential research agenda. Commun. ACM 62(1): 76-84 (2019) - [j86]Xiaowei Jia, Ankush Khandelwal, Kimberly Carlson, James Gerber, Paul C. West, Vipin Kumar:
Plantation Mapping in Southeast Asia. Frontiers Big Data 2: 46 (2019) - [j85]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): 1544-1554 (2019) - 2018
- [j84]Pranjul Yadav, Michael S. Steinbach, Vipin Kumar, György J. Simon:
Mining Electronic Health Records (EHRs): A Survey. ACM Comput. Surv. 50(6): 85:1-85:40 (2018) - [j83]Gowtham Atluri, Anuj Karpatne, Vipin Kumar:
Spatio-Temporal Data Mining: A Survey of Problems and Methods. ACM Comput. Surv. 51(4): 83:1-83:41 (2018) - [j82]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): 69 (2018) - [j81]Chengzhang Zhu, Longbing Cao, Qiang Liu, Jianping Yin, Vipin Kumar:
Heterogeneous Metric Learning of Categorical Data with Hierarchical Couplings. IEEE Trans. Knowl. Data Eng. 30(7): 1254-1267 (2018) - 2017
- [j80]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. 08(04): 1012-1021 (2017) - [j79]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): 2318-2331 (2017) - [j78]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): 2484-2497 (2017) - 2016
- [j77]Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra, Steven G. Johnson:
Application of an Ontology for Characterizing Data Quality for a Secondary Use of EHR Data. Appl. Clin. Inform. 07(01): 69-88 (2016) - [j76]Wonsuk Oh, Era Kim, M. Regina Castro, Pedro J. Caraballo, Vipin Kumar, Michael S. Steinbach, György J. Simon:
Type 2 Diabetes Mellitus Trajectories and Associated Risks. Big Data 4(1): 25-30 (2016) - [j75]Gowtham Atluri, Angus W. MacDonald III, Kelvin O. Lim, Vipin Kumar:
The Brain-Network Paradigm: Using Functional Imaging Data to Study How the Brain Works. Computer 49(10): 65-71 (2016) - [j74]Catherine H. Olson, Sanjoy Dey, Vipin Kumar, Karen A. Monsen, Bonnie L. Westra:
Clustering of elderly patient subgroups to identify medication-related readmission risks. Int. J. Medical Informatics 85(1): 43-52 (2016) - [j73]Naoki Abe, Yiqun Xie, Shashi Shekhar, Chid Apté, Vipin Kumar, Mitch Tuinstra, Ranga Raju Vatsavai:
Data Science for Food, Energy and Water: A Workshop Report. SIGKDD Explor. 18(2): 1-4 (2016) - 2015
- [j72]Nicholas Johnson, Huanan Zhang, Gang Fang, Vipin Kumar, Rui Kuang:
SubPatCNV: approximate subspace pattern mining for mapping copy-number variations. BMC Bioinform. 16: 16:1-16:12 (2015) - [j71]James H. Faghmous, Vipin Kumar, Shashi Shekhar:
Computing and Climate. Comput. Sci. Eng. 17(6): 6-8 (2015) - [j70]Longbing Cao, Philip S. Yu, Vipin Kumar:
Nonoccurring Behavior Analytics: A New Area. IEEE Intell. Syst. 30(6): 4-11 (2015) - 2014
- [j69]James H. Faghmous, Vipin Kumar:
A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science. Big Data 2(3): 155-163 (2014) - [j68]James H. Faghmous, Arindam Banerjee, Shashi Shekhar, Michael S. Steinbach, Vipin Kumar, Auroop R. Ganguly, Nagiza F. Samatova:
Theory-Guided Data Science for Climate Change. Computer 47(11): 74-78 (2014) - [j67]Varun Chandola, Varun Mithal, Vipin Kumar:
A reference based analysis framework for understanding anomaly detection techniques for symbolic sequences. Data Min. Knowl. Discov. 28(3): 702-735 (2014) - [j66]Michael S. Steinbach, Sean Landman, Vipin Kumar, Haoyu Yu:
Identification of co-occurring insertions in cancer genomes using association analysis. Int. J. Data Min. Bioinform. 10(1): 65-82 (2014) - [j65]Karthik Kambatla, Giorgios Kollias, Vipin Kumar, Ananth Grama:
Trends in big data analytics. J. Parallel Distributed Comput. 74(7): 2561-2573 (2014) - 2013
- [j64]Jaya Kawale, Stefan Liess, Arjun Kumar, Michael S. Steinbach, Peter K. Snyder, Vipin Kumar, Auroop R. Ganguly, Nagiza F. Samatova, Fredrick H. M. Semazzi:
A graph-based approach to find teleconnections in climate data. Stat. Anal. Data Min. 6(3): 158-179 (2013) - 2012
- [j63]Gang Fang, Gaurav Pandey, Wen Wang, Manish Gupta, Michael S. Steinbach, Vipin Kumar:
Mining Low-Support Discriminative Patterns from Dense and High-Dimensional Data. IEEE Trans. Knowl. Data Eng. 24(2): 279-294 (2012) - [j62]Varun Chandola, Arindam Banerjee, Vipin Kumar:
Anomaly Detection for Discrete Sequences: A Survey. IEEE Trans. Knowl. Data Eng. 24(5): 823-839 (2012) - 2011
- [j61]Rohit Gupta, Navneet Rao, Vipin Kumar:
Discovery of error-tolerant biclusters from noisy gene expression data. BMC Bioinform. 12(S-12): S1 (2011) - [j60]Varun Mithal, Ashish Garg, Shyam Boriah, Michael S. Steinbach, Vipin Kumar, Christopher Potter, Steven A. Klooster, Juan Carlos Castilla-Rubio:
Monitoring global forest cover using data mining. ACM Trans. Intell. Syst. Technol. 2(4): 36:1-36:24 (2011) - 2010
- [j59]Gaurav Pandey, Bin Zhang, Aaron N. Chang, Chad L. Myers, Jun Zhu, Vipin Kumar, Eric E. Schadt:
An Integrative Multi-Network and Multi-Classifier Approach to Predict Genetic Interactions. PLoS Comput. Biol. 6(9) (2010) - 2009
- [j58]Gaurav Pandey, Chad L. Myers, Vipin Kumar:
Incorporating functional inter-relationships into protein function prediction algorithms. BMC Bioinform. 10 (2009) - [j57]Varun Chandola, Arindam Banerjee, Vipin Kumar:
Anomaly detection: A survey. ACM Comput. Surv. 41(3): 15:1-15:58 (2009) - [j56]Hui Xiong, Michael S. Steinbach, Arifin Ruslim, Vipin Kumar:
Characterizing pattern preserving clustering. Knowl. Inf. Syst. 19(3): 311-336 (2009) - 2008
- [j55]TaeHyun Hwang, Hugues Sicotte, Ze Tian, Baolin Wu, Jean-Pierre A. Kocher, Dennis A. Wigle, Vipin Kumar, Rui Kuang:
Robust and efficient identification of biomarkers by classifying features on graphs. Bioinform. 24(18): 2023-2029 (2008) - [j54]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:
Top 10 algorithms in data mining. Knowl. Inf. Syst. 14(1): 1-37 (2008) - [j53]Arnold Goodman, Chandrika Kamath, Vipin Kumar:
Data Analysis in the 21st Century. Stat. Anal. Data Min. 1(1): 1-3 (2008) - 2007
- [j52]Michael S. Steinbach, Vipin Kumar:
Generalizing the notion of confidence. Knowl. Inf. Syst. 12(3): 279-299 (2007) - [j51]Varun Chandola, Vipin Kumar:
Summarization - compressing data into an informative representation. Knowl. Inf. Syst. 12(3): 355-378 (2007) - 2006
- [j50]Hui Xiong, Pang-Ning Tan, Vipin Kumar:
Hyperclique pattern discovery. Data Min. Knowl. Discov. 13(2): 219-242 (2006) - [j49]Hui Xiong, Gaurav Pandey, Michael S. Steinbach, Vipin Kumar:
Enhancing Data Analysis with Noise Removal. IEEE Trans. Knowl. Data Eng. 18(2): 304-319 (2006) - [j48]Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Kumar:
TAPER: A Two-Step Approach for All-Strong-Pairs Correlation Query in Large Databases. IEEE Trans. Knowl. Data Eng. 18(4): 493-508 (2006) - [j47]Hui Xiong, Michael S. Steinbach, Vipin Kumar:
Privacy leakage in multi-relational databases: a semi-supervised learning perspective. VLDB J. 15(4): 388-402 (2006) - 2005
- [j46]Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar:
IDR/QR: An Incremental Dimension Reduction Algorithm via QR Decomposition. IEEE Trans. Knowl. Data Eng. 17(9): 1208-1222 (2005) - 2004
- [j45]Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava:
Selecting the right objective measure for association analysis. Inf. Syst. 29(4): 293-313 (2004) - 2003
- [j44]Daniel J. Challou, Maria L. Gini, Vipin Kumar, George Karypis:
Predicting the Performance of Randomized Parallel Search: An Application to Robot Motion Planning. J. Intell. Robotic Syst. 38(1): 31-53 (2003) - 2002
- [j43]Jiawei Han, Russ B. Altman, Vipin Kumar, Heikki Mannila, Daryl Pregibon:
Emerging scientific applications in data mining. Commun. ACM 45(8): 54-58 (2002) - [j42]Kirk Schloegel, George Karypis, Vipin Kumar:
Parallel static and dynamic multi-constraint graph partitioning. Concurr. Comput. Pract. Exp. 14(3): 219-240 (2002) - [j41]Pang-Ning Tan, Vipin Kumar:
Discovery of Web Robot Sessions Based on their Navigational Patterns. Data Min. Knowl. Discov. 6(1): 9-35 (2002) - 2001
- [j40]Vipin Kumar, Sanjay Ranka, Vineet Singh:
Guest Editors' Introduction: Special Issue on High-Performance Data Mining. J. Parallel Distributed Comput. 61(3): 281-284 (2001) - [j39]Kirk Schloegel, George Karypis, Vipin Kumar:
Wavefront Diffusion and LMSR: Algorithms for Dynamic Repartitioning of Adaptive Meshes. IEEE Trans. Parallel Distributed Syst. 12(5): 451-466 (2001) - 2000
- [j38]Hillol Kargupta, Joydeep Ghosh, Vipin Kumar, Zoran Obradovic:
Report from the Workshop on Distributed and Parallel Knowledge Discovery, ACM SIGKDD-2000. SIGKDD Explor. 2(2): 108-109 (2000) - [j37]Eui-Hong Han, George Karypis, Vipin Kumar:
Scalable Parallel Data Mining for Association Rules. IEEE Trans. Knowl. Data Eng. 12(3): 377-352 (2000) - [j36]George Karypis, Vipin Kumar:
Multilevel k-way Hypergraph Partitioning. VLSI Design 11(3): 285-300 (2000) - 1999
- [j35]Daniel Boley, Maria L. Gini, Robert Gross, Eui-Hong Han, Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher, Jerome Moore:
Document Categorization and Query Generation on the World Wide Web Using WebACE. Artif. Intell. Rev. 13(5-6): 365-391 (1999) - [j34]George Karypis, Eui-Hong Han, Vipin Kumar:
Chameleon: Hierarchical Clustering Using Dynamic Modeling. Computer 32(8): 68-75 (1999) - [j33]Anurag Srivastava, Eui-Hong Han, Vipin Kumar, Vineet Singh:
Parallel Formulations of Decision-Tree Classification Algorithms. Data Min. Knowl. Discov. 3(3): 237-261 (1999) - [j32]Daniel Boley, Maria L. Gini, Robert Gross, Eui-Hong Han, Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher, Jerome Moore:
Partitioning-based clustering for Web document categorization. Decis. Support Syst. 27(3): 329-341 (1999) - [j31]William Leinberger, Vipin Kumar:
Information power grid: The new frontier in parallel computing? IEEE Concurr. 7(4): 75-84 (1999) - [j30]George Karypis, Vipin Kumar:
Parallel Multilevel series k-Way Partitioning Scheme for Irregular Graphs. SIAM Rev. 41(2): 278-300 (1999) - [j29]Ananth Grama, Vipin Kumar:
State of the Art in Parallel Search Techniques for Discrete Optimization Problems. IEEE Trans. Knowl. Data Eng. 11(1): 28-35 (1999) - [j28]George Karypis, Rajat Aggarwal, Vipin Kumar, Shashi Shekhar:
Multilevel hypergraph partitioning: applications in VLSI domain. IEEE Trans. Very Large Scale Integr. Syst. 7(1): 69-79 (1999) - 1998
- [j27]Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad Mobasher:
Hypergraph Based Clustering in High-Dimensional Data Sets: A Summary of Results. IEEE Data Eng. Bull. 21(1): 15-22 (1998) - [j26]George Karypis, Vipin Kumar:
A Parallel Algorithm for Multilevel Graph Partitioning and Sparse Matrix Ordering. J. Parallel Distributed Comput. 48(1): 71-95 (1998) - [j25]George Karypis, Vipin Kumar:
Multilevel k-way Partitioning Scheme for Irregular Graphs. J. Parallel Distributed Comput. 48(1): 96-129 (1998) - [j24]Ananth Grama, Vipin Kumar, Ahmed H. Sameh:
Scalable Parallel Formulations of the Barnes-Hut Method for n-Body Simulations. Parallel Comput. 24(5-6): 797-822 (1998) - [j23]Ananth Grama, Vipin Kumar, Ahmed H. Sameh:
Parallel Hierarchical Solvers and Preconditioners for Boundary Element Methods. SIAM J. Sci. Comput. 20(1): 337-358 (1998) - [j22]George Karypis, Vipin Kumar:
A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs. SIAM J. Sci. Comput. 20(1): 359-392 (1998) - [j21]Shashi Shekhar, Sivakumar Ravada, Vipin Kumar, Douglas Chubb, Greg Turner:
Declustering and Load-Balancing Methods for Parallelizing Geographic Information Systems. IEEE Trans. Knowl. Data Eng. 10(4): 632-655 (1998) - 1997
- [j20]Kirk Schloegel, George Karypis, Vipin Kumar:
Multilevel Diffusion Schemes for Repartitioning of Adaptive Meshes. J. Parallel Distributed Comput. 47(2): 109-124 (1997) - [j19]Anshul Gupta, George Karypis, Vipin Kumar:
Highly Scalable Parallel Algorithms for Sparse Matrix Factorization. IEEE Trans. Parallel Distributed Syst. 8(5): 502-520 (1997) - 1996
- [j18]Shashi Shekhar, Sivakumar Ravada, Vipin Kumar, Douglas Chubb, Greg Turner:
Parallelizing a GIS on a Shared Address Space Architecture. Computer 29(12): 42-48 (1996) - 1995
- [j17]Ananth Grama, Vipin Kumar:
Parallel Search Algorithms for Discrete Optimization Problems. INFORMS J. Comput. 7(4): 365-385 (1995) - [j16]Anshul Gupta, Vipin Kumar, Ahmed H. Sameh:
Performance and Scalability of Preconditioned Conjugate Gradient Methods on Parallel Computers. IEEE Trans. Parallel Distributed Syst. 6(5): 455-469 (1995) - 1994
- [j15]Vipin Kumar, Ananth Grama, Nageshwara Rao Vempaty:
Scalable Load Balancing Techniques for Parallel Computers. J. Parallel Distributed Comput. 22(1): 60-79 (1994) - [j14]George Karypis, Vipin Kumar:
Unstructured Tree Search on SIMD Parallel Computers. IEEE Trans. Parallel Distributed Syst. 5(10): 1057-1072 (1994) - [j13]Vipin Kumar, Shashi Shekhar, Minesh B. Amin:
A Scalable Parallel Formulation of the Backpropagation Algorithm for Hypercubes and Related Architectures. IEEE Trans. Parallel Distributed Syst. 5(10): 1073-1090 (1994) - 1993
- [j12]Ananth Grama, Anshul Gupta, Vipin Kumar:
Isoefficiency: measuring the scalability of parallel algorithms and architectures. IEEE Parallel Distributed Technol. Syst. Appl. 1(3): 12-21 (1993) - [j11]Anshul Gupta, Vipin Kumar:
Performance Properties of Large Scale Parallel Systems. J. Parallel Distributed Comput. 19(3): 234-244 (1993) - [j10]V. Nageshwara Rao, Vipin Kumar:
On the Efficiency of Parallel Backtracking. IEEE Trans. Parallel Distributed Syst. 4(4): 427-437 (1993) - [j9]Anshul Gupta, Vipin Kumar:
The Scalability of FFT on Parallel Computers. IEEE Trans. Parallel Distributed Syst. 4(8): 922-932 (1993) - 1991
- [j8]Vineet Singh, Vipin Kumar, Gul Agha, Chris Tomlinson:
Efficient algorithms for parallel sorting on mesh multicomputers. Int. J. Parallel Program. 20(2): 95-131 (1991) - [j7]Yow-Jian Lin, Vipin Kumar:
AND-Parallel Execution of Logic Programs on a Shared-Memory Multiprocessor. J. Log. Program. 10(2): 155-178 (1991) - [j6]Vipin Kumar, Vineet Singh:
Scalability of Parallel Algorithms for the All-Pairs Shortest-Path Problem. J. Parallel Distributed Comput. 13(2): 124-138 (1991) - [j5]Sunil Arvindam, Vipin Kumar, V. Nageshwara Rao, Vineet Singh:
Automatic test pattern generation on parallel processors. Parallel Comput. 17(12): 1323-1342 (1991) - 1988
- [j4]Vipin Kumar, Yow-Jian Lin:
A Data-Dependency-Based Intelligent Backtracking Scheme for Prolog. J. Log. Program. 5(2): 165-181 (1988) - [j3]V. Nageshwara Rao, Vipin Kumar:
Concurrent Access of Priority Queues. IEEE Trans. Computers 37(12): 1657-1665 (1988) - 1987
- [j2]V. Nageshwara Rao, Vipin Kumar:
Parallel depth first search. Part I. Implementation. Int. J. Parallel Program. 16(6): 479-499 (1987) - [j1]Vipin Kumar, V. Nageshwara Rao:
Parallel depth first search. Part II. Analysis. Int. J. Parallel Program. 16(6): 501-519 (1987)
Conference and Workshop Papers
- 2025
- [c237]Arvind Renganathan, Rahul Ghosh, Ankush Khandelwal, Vipin Kumar:
Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Environmental Systems. SDM 2025: 11-20 - 2024
- [c236]Haoyu Yang, Michael S. Steinbach, Genevieve B. Melton, Vipin Kumar, György J. Simon:
Combining Self-Supervision and Privileged Information for Representation Learning from Tabular Data. ICDM 2024: 550-559 - [c235]Kshitij Tayal, Arvind Renganathan, Xiaowei Jia, Vipin Kumar, Dan Lu:
ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction. ICDM 2024: 857-862 - [c234]Shaoming Xu, Ankush Khandelwal, Arvind Renganathan, Vipin Kumar:
Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling. SDM 2024: 307-315 - [c233]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: 334-342 - [c232]Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar:
Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. SDM 2024: 445-453 - [c231]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: 589-597 - 2023
- [c230]Vipin Kumar:
Knowledge-Guided Machine Learning: A New Framework for Accelerating Scientific Discovery and Addressing Global Environmental Challenges. IEEE Big Data 2023: 2 - [c229]Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar:
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. ICDM 2023: 588-597 - [c228]Xindong Wu, Xingquan Zhu, Elena Baralis, Ruqian Lu, Vipin Kumar, Leszek Rutkowski, Jie Tang:
On Computing Paradigms - Where Will Large Language Models Be Going. ICDM 2023: 1577-1582 - [c227]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: 1-11 - [c226]Praveen Ravirathinam, Rahul Ghosh, Ke Wang, Keyang Xuan, Ankush Khandelwal, Hilary Dugan, Paul C. Hanson, Vipin Kumar:
Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets. SDM 2023: 487-495 - [c225]Shaoming Xu, Ankush Khandelwal, Xiang Li, Xiaowei Jia, Licheng Liu, Jared Willard, Rahul Ghosh, Kelly Cutler, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar:
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. SDM 2023: 649-657 - [c224]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: 847-855 - 2022
- [c223]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: 3:1-3:10 - [c222]Rahul Ghosh, Bangyan Li, Kshitij Tayal, Vipin Kumar, Xiaowei Jia:
Meta-Transfer Learning: An application to Streamflow modeling in River-streams. ICDM 2022: 161-170 - [c221]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: 465-474 - [c220]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: 702-710 - 2021
- [c219]Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar:
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping. IEEE BigData 2021: 1399-1408 - [c218]Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar:
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels. IEEE BigData 2021: 1625-1632 - [c217]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:
Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks. SDM 2021: 612-620 - 2020
- [c216]Kshitij Tayal, Rahul Ghosh, Vipin Kumar:
Model-agnostic Methods for Text Classification with Inherent Noise. COLING (Industry) 2020: 202-213 - [c215]Kshitij Tayal, Nikhil Rao, Saurabh Agarwal, Xiaowei Jia, Karthik Subbian, Vipin Kumar:
Regularized Graph Convolutional Networks for Short Text Classification. COLING (Industry) 2020: 236-242 - [c214]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: 3494-3496 - [c213]Xiaowei Jia, Handong Zhao, Zhe Lin, Ajinkya Kale, Vipin Kumar:
Personalized Image Retrieval with Sparse Graph Representation Learning. KDD 2020: 2735-2743 - [c212]Huaxiu Yao, Xiaowei Jia, Vipin Kumar, Zhenhui Li:
Learning with Small Data. KDD 2020: 3539-3540 - [c211]Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar:
Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data. SDM 2020: 253-261 - 2019
- [c210]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: 1981-1990 - [c209]Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar:
Spatio-temporal classification at multiple resolutions using multi-view regularization. IEEE BigData 2019: 4117-4120 - [c208]Xiaowei Jia, Mengdie Wang, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar:
Recurrent Generative Networks for Multi-Resolution Satellite Data: An Application in Cropland Monitoring. IJCAI 2019: 2628-2634 - [c207]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: 111-112 - [c206]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: 1665-1673 - [c205]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: 288-292 - [c204]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: 513-521 - [c203]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: 540-548 - [c202]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: 558-566 - 2018
- [c201]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: 415-422 - [c200]Guruprasad Nayak, Varun Mithal, Xiaowei Jia, Vipin Kumar:
Classifying Multivariate Time Series by Learning Sequence-level Discriminative Patterns. SDM 2018: 252-260 - 2017
- [c199]Xiaowei Jia, Yifan Hu, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar:
Joint sparse auto-encoder: A semi-supervised spatio-temporal approach in mapping large-scale croplands. IEEE BigData 2017: 1173-1182 - [c198]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: 374-379 - [c197]Anuj Karpatne, Vipin Kumar:
Big Data in Climate: Opportunities and Challenges for Machine Learning. KDD 2017: 21-22 - [c196]Saurabh Agrawal, Gowtham Atluri, Anuj Karpatne, William Haltom, Stefan Liess, Snigdhansu Chatterjee, Vipin Kumar:
Tripoles: A New Class of Relationships in Time Series Data. KDD 2017: 697-706 - [c195]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: 867-876 - [c194]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: 171-179 - 2016
- [c193]Soumyadeep Chatterjee, Stefan Liess, Arindam Banerjee, Vipin Kumar:
Understanding Dominant Factors for Precipitation over the Great Lakes Region. AAAI 2016: 3821-3827 - [c192]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:
Causality-Guided Feature Selection. ADMA 2016: 391-405 - [c191]Steven G. Johnson, Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra:
Quantifying the Effect of Data Quality on the Correctness of an eMeasure. AMIA 2016 - [c190]Xiaowei Jia, Ankush Khandelwal, James Gerber, Kimberly Carlson, Paul C. West, Vipin Kumar:
Learning large-scale plantation mapping from imperfect annotators. IEEE BigData 2016: 1192-1201 - [c189]Xiaowei Jia, Xi Chen, Anuj Karpatne, Vipin Kumar:
Identifying dynamic changes with noisy labels in spatial-temporal data: A study on large-scale water monitoring application. IEEE BigData 2016: 1328-1333 - [c188]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:
A Data Mining Approach to Determine Sepsis Guideline Impact on Inpatient Mortality and Complications. CRI 2016 - [c187]Xi C. Chen, Yuanshun Yao, Sichao Shi, Snigdhansu Chatterjee, Vipin Kumar, James H. Faghmous:
A general framework to increase the robustness of model-based change point detection algorithms to outliers and noise. SDM 2016: 162-170 - [c186]Vipin Kumar:
Big Data in Climate: Opportunities and Challenges for Machine Learning. SIGIR 2016: 3 - 2015
- [c185]Sanjoy Dey, Katherine Hauwiller, Pranjul Yadav, Michael S. Steinbach, György J. Simon, Vipin Kumar, Connie White-Delaney, Bonnie L. Westra:
Predicting the Factors of Improvement of Health Status of Home Health Care Patients: A Holistic Data Mining Approach. AMIA 2015 - [c184]Steven G. Johnson, Stuart M. Speedie, György J. Simon, Vipin Kumar, Bonnie L. Westra:
A Data Quality Ontology for the Secondary Use of EHR Data. AMIA 2015 - [c183]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:
Clustering Health Data to Discover EBP Interventions for Sepsis Prevention and Treatment for Health Disparities. AMIA 2015 - [c182]Anuj Karpatne, Vipin Kumar:
Adaptive Heterogeneous Ensemble Learning Using the Context of Test Instances. ICDM 2015: 787-792 - [c181]Ankush Khandelwal, Varun Mithal, Vipin Kumar:
Post Classification Label Refinement Using Implicit Ordering Constraint Among Data Instances. ICDM 2015: 799-804 - [c180]Pranjul Yadav, Michael S. Steinbach, Lisiane Pruinelli, Bonnie L. Westra, Connie Delaney, Vipin Kumar, György J. Simon:
Forensic Style Analysis with Survival Trajectories. ICDM 2015: 1069-1074 - [c179]Anuj Karpatne, Vipin Kumar:
Building Predictive Models for Noisy and Heterogeneous Data: An Application in Global Monitoring of Inland Water Dynamics. ICDM Workshops 2015: 1530-1531 - [c178]Xi C. Chen, Vipin Kumar, James H. Faghmous:
Online Change Detection Algorithm for Noisy Time-Series: An Application Tonear-Real Time Burned Area Mapping. ICDM Workshops 2015: 1536-1537 - [c177]Xi C. Chen, James H. Faghmous, Ankush Khandelwal, Vipin Kumar:
Clustering Dynamic Spatio-Temporal Patterns in The Presence of Noise and Missing Data. IJCAI 2015: 2575-2581 - [c176]Gonzalo A. Bello, Michael P. Angus, Navya Pedemane, Jitendra K. Harlalka, Fredrick H. M. Semazzi, Vipin Kumar, Nagiza F. Samatova:
Response-Guided Community Detection: Application to Climate Index Discovery. ECML/PKDD (2) 2015: 736-751 - [c175]Kai Zhang, Qiaojun Wang, Zhengzhang Chen, Ivan Marsic, Vipin Kumar, Guofei Jiang, Jie Zhang:
From Categorical to Numerical: Multiple Transitive Distance Learning and Embedding. SDM 2015: 46-54 - [c174]Karthik Subbian, Charu C. Aggarwal, Jaideep Srivastava, Vipin Kumar:
Rare Class Detection in Networks. SDM 2015: 406-414 - [c173]Anuj Karpatne, Ankush Khandelwal, Vipin Kumar:
Ensemble Learning Methods for Binary Classification with Multi-modality within the Classes. SDM 2015: 730-738 - 2014
- [c172]James H. Faghmous, Hung Nguyen, Matthew Le, Vipin Kumar:
Spatio-Temporal Consistency as a Means to Identify Unlabeled Objects in a Continuous Data Field. AAAI 2014: 410-416 - [c171]Lisiane Pruinelli, Sanjoy Dey, György J. Simon, Pranjul Yadav, Andrew Hangsleben, Katherine Hauwiller, Vipin Kumar, Connie White-Delaney, Michael S. Steinbach, Bonnie L. Westra:
Data Mining Methodologies to Discover Best practices for Diabetic Patients with Health Disparities. AMIA 2014 - [c170]Vanja Paunic, Michael S. Steinbach, Abeer Madbouly, Vipin Kumar:
Amb-EM: a SNP-based prediction of HLA alleles using ambiguous HLA data. BCB 2014: 104-113 - [c169]Anuj Karpatne, Ankush Khandelwal, Shyam Boriah, Vipin Kumar:
Predictive Learning in the Presence of Heterogeneity and Limited Training Data. SDM 2014: 253-261 - [c168]Gowtham Atluri, Michael S. Steinbach, Kelvin O. Lim, Angus W. MacDonald III, Vipin Kumar:
Discovering Groups of Time Series with Similar Behavior in Multiple Small Intervals of Time. SDM 2014: 1001-1009 - [c167]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:
Memory-efficient Query-driven Community Detection with Application to Complex Disease Associations. SDM 2014: 1010-1018 - [c166]Sanjoy Dey, György J. Simon, Bonnie L. Westra, Michael S. Steinbach, Vipin Kumar:
Mining Interpretable and Predictive Diagnosis Codes from Multi-source Electronic Health Records. SDM 2014: 1055-1063 - 2013
- [c165]James H. Faghmous, Muhammed Uluyol, Luke Styles, Matthew Le, Varun Mithal, Shyam Boriah, Vipin Kumar:
Multiple Hypothesis Object Tracking For Unsupervised Self-Learning: An Ocean Eddy Tracking Application. AAAI 2013: 1277-1283 - [c164]Sanjoy Dey, Jeremy Weed, Joanna Fakhoury, Jacob Cooner, György J. Simon, Michael S. Steinbach, Bonnie L. Westra, Vipin Kumar:
Data Mining to Predict Mobility Outcomes for Older Adults Receiving Home Health Care. AMIA 2013 - [c163]Vanja Paunic, Michael S. Steinbach, Abeer Madbouly, Vipin Kumar:
Evaluation of Label Dependency for the Prediction of HLA Genes. BCB 2013: 296 - [c162]James H. Faghmous, Matthew Le, Muhammed Uluyol, Vipin Kumar, Snigdhansu Chatterjee:
A Parameter-Free Spatio-Temporal Pattern Mining Model to Catalog Global Ocean Dynamics. ICDM 2013: 151-160 - [c161]Igor Melnyk, Pranjul Yadav, Michael S. Steinbach, Jaideep Srivastava, Vipin Kumar, Arindam Banerjee:
Detection of Precursors to Aviation Safety Incidents Due to Human Factors. ICDM Workshops 2013: 407-412 - [c160]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:
Coupled Heterogeneous Association Rule Mining (CHARM): Application Toward Inference of Modulatory Climate Relationships. ICDM 2013: 1055-1060 - [c159]Zhengzhang Chen, Alok N. Choudhary, John Jenkins, Vipin Kumar, Anatoli V. Melechko, Jinfeng Rao, Nagiza F. Samatova, Fredrick H. M. Semazzi:
Automatic Detection and Correction of Multi-class Classification Errors Using System Whole-part Relationships. SDM 2013: 494-502 - [c158]Xi C. Chen, Karsten Steinhaeuser, Shyam Boriah, Snigdhansu Chatterjee, Vipin Kumar:
Contextual Time Series Change Detection. SDM 2013: 503-511 - [c157]Shyam Boriah, Ankush Khandelwal, Vipin Kumar, Varun Mithal, Karsten Steinhaeuser:
Change Detection from Temporal Sequences of Class Labels: Application to Land Cover Change Mapping. SDM 2013: 650-658 - 2012
- [c156]James H. Faghmous, Yashu Chamber, Shyam Boriah, Frode Vikebø, Stefan Liess, Michel dos Santos Mesquita, Vipin Kumar:
A Novel and Scalable Spatio-Temporal Technique for Ocean Eddy Monitoring. AAAI 2012: 281-287 - [c155]Sanjoy Dey, Kelvin O. Lim, Gowtham Atluri, Angus W. MacDonald III, Michael S. Steinbach, Vipin Kumar:
A pattern mining based integrative framework for biomarker discovery. BCB 2012: 498-505 - [c154]Varun Mithal, Zachary O'Connor, Karsten Steinhaeuser, Shyam Boriah, Vipin Kumar, Christopher Potter, Steven A. Klooster:
Time series change detection using segmentation: A case study for land cover monitoring. CIDU 2012: 63-70 - [c153]Anuj Karpatne, Mace Blank, Michael Lau, Shyam Boriah, Karsten Steinhaeuser, Michael S. Steinbach, Vipin Kumar:
Importance of vegetation type in forest cover estimation. CIDU 2012: 71-78 - [c152]James H. Faghmous, Luke Styles, Varun Mithal, Shyam Boriah, Stefan Liess, Vipin Kumar, Frode Vikebø, Michel dos Santos Mesquita:
EddyScan: A physically consistent ocean eddy monitoring application. CIDU 2012: 96-103 - [c151]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:
A new data mining framework for forest fire mapping. CIDU 2012: 104-111 - [c150]Jaya Kawale, Stefan Liess, Vipin Kumar, Upmanu Lall, Auroop R. Ganguly:
Mining time-lagged relationships in spatio-temporal climate data. CIDU 2012: 130-135 - [c149]Sriram Lakshminarasimhan, Prabhat Kumar, Wei-keng Liao, Alok N. Choudhary, Vipin Kumar, Nagiza F. Samatova:
On the path to sustainable, scalable, and energy-efficient data analytics: Challenges, promises, and future directions. IGCC 2012: 1-6 - [c148]Gowtham Atluri, Sanjoy Dey, Gang Fang, Sean Landman, Vanja Paunic, Wen Wang, Michael S. Steinbach, Vipin Kumar:
Invited: Discovering combinatorial biomarkers. ICCABS 2012: 1-2 - [c147]Ivan Brugere, Karsten Steinhaeuser, Shyam Boriah, Vipin Kumar:
Approximate Search on Massive Spatiotemporal Datasets. ICDM Workshops 2012: 773-780 - [c146]Doel L. Gonzalez, Zhengzhang Chen, Isaac K. Tetteh, Tatdow Pansombut, Fredrick H. M. Semazzi, Vipin Kumar, Anatoli V. Melechko, Nagiza F. Samatova:
Hierarchical Classifier-Regression Ensemble for Multi-phase Non-linear Dynamic System Response Prediction: Application to Climate Analysis. ICDM Workshops 2012: 781-788 - [c145]Vanja Paunic, Michael S. Steinbach, Vipin Kumar, Martin Maiers:
Prediction of HLA Genes from SNP Data and HLA Haplotype Frequencies. ICDM Workshops 2012: 964-971 - [c144]Debasish Das, Auroop R. Ganguly, Snigdhansu Chatterjee, Vipin Kumar, Zoran Obradovic:
Spatially penalized regression for dependence analysis of rare events: A study in precipitation extremes. IGARSS 2012: 1948-1951 - [c143]Jaya Kawale, Snigdhansu Chatterjee, Dominick Ormsby, Karsten Steinhaeuser, Stefan Liess, Vipin Kumar:
Testing the significance of spatio-temporal teleconnection patterns. KDD 2012: 642-650 - [c142]Saurabh V. Pendse, Isaac K. Tetteh, Fredrick H. M. Semazzi, Vipin Kumar, Nagiza F. Samatova:
Toward Data-driven, Semi-automatic Inference of Phenomenological Physical Models: Application to Eastern Sahel Rainfall. SDM 2012: 35-46 - 2011
- [c141]Jaya Kawale, Stefan Liess, Arjun Kumar, Michael S. Steinbach, Auroop R. Ganguly, Nagiza F. Samatova, Fredrick H. M. Semazzi, Peter K. Snyder, Vipin Kumar:
Data Guided Discovery of Dynamic Climate Dipoles. CIDU 2011: 30-44 - [c140]Varun Mithal, Ashish Garg, Ivan Brugere, Shyam Boriah, Vipin Kumar, Michael S. Steinbach, Christopher Potter, Steven A. Klooster:
Incorporating Natural Variation into Time Series-Based Land Cover Change Detection. CIDU 2011: 45-59 - [c139]Ashish Garg, Lydia Manikonda, Shashank Kumar, Vikrant Krishna, Shyam Boriah, Michael S. Steinbach, Durga Toshnival, Vipin Kumar, Christopher Potter, Steven A. Klooster:
A Model-Free Time Series Segmentation Approach for Land Cover Change Detection. CIDU 2011: 144-158 - [c138]Jaya Kawale, Snigdhansu Chatterjee, Arjun Kumar, Stefan Liess, Michael S. Steinbach, Vipin Kumar:
Anomaly Construction in Climate Data: Issues and Challenges. CIDU 2011: 189-203 - [c137]Yashu Chamber, Ashish Garg, Varun Mithal, Ivan Brugere, Vipin Kumar, Michael Lau, Michael S. Steinbach, Christopher Potter, Steven A. Klooster, Vikrant Krishna, Shyam Boriah:
A Novel Time Series Based Approach to Detect Gradual Vegetation Changes in Forests. CIDU 2011: 248-262 - [c136]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:
Gopher: Global observation of Planetary Health and Ecosystem Resources. IGARSS 2011: 1449-1452 - [c135]Huseyin Sencan, Zhengzhang Chen, William Hendrix, Tatdow Pansombut, Fredrick H. M. Semazzi, Alok N. Choudhary, Vipin Kumar, Anatoli V. Melechko, Nagiza F. Samatova:
Classification of Emerging Extreme Event Tracks in Multivariate Spatio-Temporal Physical Systems Using Dynamic Network Structures: Application to Hurricane Track Prediction. IJCAI 2011: 1478-1484 - [c134]György J. Simon, Vipin Kumar, Peter W. Li:
A simple statistical model and association rule filtering for classification. KDD 2011: 823-831 - [c133]Michael S. Steinbach, Haoyu Yu, Gang Fang, Vipin Kumar:
Using Constraints to Generate and Explore Higher Order Discriminative Patterns. PAKDD (1) 2011: 338-350 - [c132]Jaya Kawale, Michael S. Steinbach, Vipin Kumar:
Discovering Dynamic Dipoles in Climate Data. SDM 2011: 107-118 - 2010
- [c131]Michael S. Steinbach, Haoyu Yu, Vipin Kumar:
Identification of co-occurring insertions in cancer genomes using association analysis. BIBM Workshops 2010: 494-499 - [c130]Rohit Gupta, Smita Agrawal, Navneet Rao, Ze Tian, Rui Kuang, Vipin Kumar:
Integrative Biomarker Discovery for Breast Cancer Metastasis from Gene Expression and Protein Interaction Data Using Error-tolerant Pattern Mining. BICoB 2010: 171-177 - [c129]Shyam Boriah, Varun Mithal, Ashish Garg, Vipin Kumar, Michael S. Steinbach, Christopher Potter, Steven A. Klooster:
A Comparative Study Of Algorithms For Land Cover Change. CIDU 2010: 175-188 - [c128]Caitlin Race, Michael S. Steinbach, Auroop R. Ganguly, Fredrick H. M. Semazzi, Vipin Kumar:
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 2010: 204-212 - [c127]Varun Chandola, Shyam Boriah, Vipin Kumar:
A reference based analysis framework for analyzing system call traces. CSIIRW 2010: 33 - [c126]Shyam Boriah, Varun Mithal, Ashish Garg, Michael S. Steinbach, Vipin Kumar, Christopher Potter, Steven A. Klooster, Juan Carlos Castilla-Rubio:
Automated detection of forest cover changes. IGARSS 2010: 44-47 - [c125]Vipin Kumar:
Discovery of Patterns in Global Earth Science Data Using Data Mining. PAKDD (1) 2010: 2 - [c124]Gang Fang, Rui Kuang, Gaurav Pandey, Michael S. Steinbach, Chad L. Myers, Vipin Kumar:
Subspace Differential Coexpression Analysis: Problem Definition and a General Approach. Pacific Symposium on Biocomputing 2010: 145-156 - 2009
- [c123]Gowtham Atluri, Rohit Gupta, Gang Fang, Gaurav Pandey, Michael S. Steinbach, Vipin Kumar:
Association Analysis Techniques for Bioinformatics Problems. BICoB 2009: 1-13 - [c122]Gaurav Pandey, Gowtham Atluri, Gang Fang, Rohit Gupta, Michael S. Steinbach, Vipin Kumar:
Association analysis techniques for analyzing complex biological data sets. GENSiPS 2009: 1-4 - [c121]Gaurav Pandey, Gowtham Atluri, Michael S. Steinbach, Chad L. Myers, Vipin Kumar:
An association analysis approach to biclustering. KDD 2009: 677-686 - [c120]Varun Chandola, Shyam Boriah, Vipin Kumar:
A Framework for Exploring Categorical Data. SDM 2009: 187-198 - 2008
- [c119]Gaurav Pandey, Lakshmi Naarayanan Ramakrishnan, Michael S. Steinbach, Vipin Kumar:
Systematic Evaluation of Scaling Methods for Gene Expression Data. BIBM 2008: 376-381 - [c118]Varun Chandola, Varun Mithal, Vipin Kumar:
Comparative Evaluation of Anomaly Detection Techniques for Sequence Data. ICDM 2008: 743-748 - [c117]Rohit Gupta, Gang Fang, Blayne Field, Michael S. Steinbach, Vipin Kumar:
Quantitative evaluation of approximate frequent pattern mining algorithms. KDD 2008: 301-309 - [c116]György J. Simon, Vipin Kumar, Zhi-Li Zhang:
Semi-supervised approach to rapid and reliable labeling of large data sets. KDD 2008: 641-649 - [c115]Shyam Boriah, Vipin Kumar, Michael S. Steinbach, Christopher Potter, Steven A. Klooster:
Land cover change detection: a case study. KDD 2008: 857-865 - [c114]Shyam Boriah, Varun Chandola, Vipin Kumar:
Similarity Measures for Categorical Data: A Comparative Evaluation. SDM 2008: 243-254 - 2007
- [c113]Vipin Kumar:
High Performance Data Mining - Application for Discovery of Patterns in the Global Climate System. HiPC 2007: 4 - [c112]Jon B. Weissman, Vipin Kumar, Varun Chandola, Eric Eilertson, Levent Ertöz, György J. Simon, Seonho Kim, Jinoh Kim:
DDDAS/ITR: A Data Mining and Exploration Middleware for Grid and Distributed Computing. International Conference on Computational Science (1) 2007: 1222-1229 - [c111]Gaurav Pandey, Michael S. Steinbach, Rohit Gupta, Tushar Garg, Vipin Kumar:
Association analysis-based transformations for protein interaction networks: a function prediction case study. KDD 2007: 540-549 - [c110]György J. Simon, Vipin Kumar, Zhi-Li Zhang:
Estimating False Negatives for Classification Problems with Cluster Structure. SDM 2007: 599-604 - 2006
- [c109]Prasanna Kumar Desikan, Nishith Pathak, Jaideep Srivastava, Vipin Kumar:
Divide and conquer approach for efficient pagerank computation. ICWE 2006: 233-240 - [c108]György J. Simon, Hui Xiong, Eric Eilertson, Vipin Kumar:
Scan Detection: A Data Mining Approach. SDM 2006: 118-129 - 2005
- [c107]Benjamin W. Mayer, Huzefa Rangwala, Rohit Gupta, Jaideep Srivastava, George Karypis, Vipin Kumar, Piet C. de Groen:
Feature Mining for Prediction of Degree of Liver Fibrosis. AMIA 2005 - [c106]Hui Xiong, Michael S. Steinbach, Vipin Kumar:
Privacy leakage in multi-relational databases via pattern based semi-supervised learning. CIKM 2005: 355-356 - [c105]Varun Chandola, Vipin Kumar:
Summarization - Compressing Data into an Informative Representation. ICDM 2005: 98-105 - [c104]Michael S. Steinbach, Vipin Kumar:
Generalizing the Notion of Confidence. ICDM 2005: 402-409 - [c103]Aleksandar Lazarevic, Vipin Kumar:
Feature bagging for outlier detection. KDD 2005: 157-166 - [c102]Hui Xiong, Xiaofeng He, Chris H. Q. Ding, Ya Zhang, Vipin Kumar, Stephen R. Holbrook:
Identification of Functional Modules in Protein Complexes via Hyperclique Pattern Discovery. Pacific Symposium on Biocomputing 2005 - [c101]Prasanna Kumar Desikan, Nishith Pathak, Jaideep Srivastava, Vipin Kumar:
Incremental page rank computation on evolving graphs. WWW (Special interest tracks and posters) 2005: 1094-1095 - 2004
- [c100]Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar:
Support envelopes: a technique for exploring the structure of association patterns. KDD 2004: 296-305 - [c99]Hui Xiong, Shashi Shekhar, Pang-Ning Tan, Vipin Kumar:
Exploiting a support-based upper bound of Pearson's correlation coefficient for efficiently identifying strongly correlated pairs. KDD 2004: 334-343 - [c98]Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Janardan, Vipin Kumar:
IDR/QR: an incremental dimension reduction algorithm via QR decomposition. KDD 2004: 364-373 - [c97]Michael S. Steinbach, Pang-Ning Tan, Hui Xiong, Vipin Kumar:
Generalizing the notion of support. KDD 2004: 689-694 - [c96]Hui Xiong, Shashi Shekhar, Yan Huang, Vipin Kumar, Xiaobin Ma, Jin Soung Yoo:
A Framework for Discovering Co-Location Patterns in Data Sets with Extended Spatial Objects. SDM 2004: 78-89 - [c95]Aysel Ozgur, Pang-Ning Tan, Vipin Kumar:
RBA: An Integrated Framework for Regression based on Association Rules. SDM 2004: 210-221 - [c94]Hui Xiong, Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar:
HICAP: Hierarchical Clustering with Pattern Preservation. SDM 2004: 279-290 - [c93]Mahesh V. Joshi, Vipin Kumar:
CREDOS: Classification Using Ripple Down Structure (A Case for Rare Classes). SDM 2004: 321-332 - 2003
- [c92]Aleksandar Lazarevic, Ramdev Kanapady, Kumar K. Tamma, Chandrika Kamath, Vipin Kumar:
Damage prediction in structural mechanics using partitioning approach. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2003: 202-210 - [c91]David R. Musicant, Vipin Kumar, Aysel Ozgur:
Optimizing F-Measure with Support Vector Machines. FLAIRS 2003: 356-360 - [c90]Aleksandar Lazarevic, Ramdev Kanapady, Chandrika Kamath, Vipin Kumar, Kumar K. Tamma:
Localized Prediction of Continuous Target Variables Using Hierarchical Clustering. ICDM 2003: 139-146 - [c89]Hui Xiong, Pang-Ning Tan, Vipin Kumar:
Mining Strong Affinity Association Patterns in Data Sets with Skewed Support Distribution. ICDM 2003: 387-394 - [c88]Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar, Steven A. Klooster, Christopher Potter:
Discovery of climate indices using clustering. KDD 2003: 446-455 - [c87]Pusheng Zhang, Yan Huang, Shashi Shekhar, Vipin Kumar:
Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach. PAKDD 2003: 532-544 - [c86]Jinmei Xu, Hui Xiong, Sam Yuan Sung, Vipin Kumar:
A New Clustering Algorithm for Transaction Data via Caucus. PAKDD 2003: 551-562 - [c85]Aleksandar Lazarevic, Levent Ertöz, Vipin Kumar, Aysel Ozgur, Jaideep Srivastava:
A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection. SDM 2003: 25-36 - [c84]Levent Ertöz, Michael S. Steinbach, Vipin Kumar:
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data. SDM 2003: 47-58 - [c83]Pusheng Zhang, Yan Huang, Shashi Shekhar, Vipin Kumar:
Exploiting Spatial Autocorrelation to Efficiently Process Correlation-Based Similarity Queries. SSTD 2003: 449-468 - [c82]B. Uygar Oztekin, Levent Ertöz, Vipin Kumar:
Usage Aware PageRank. WWW (Posters) 2003 - 2002
- [c81]Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava:
Selecting the right interestingness measure for association patterns. KDD 2002: 32-41 - [c80]Mahesh V. Joshi, Ramesh C. Agarwal, Vipin Kumar:
Predicting rare classes: can boosting make any weak learner strong? KDD 2002: 297-306 - [c79]Mahesh V. Joshi, Ramesh C. Agarwal, Vipin Kumar:
Predicting Rare Classes: Comparing Two-Phase Rule Induction to Cost-Sensitive Boosting. PKDD 2002: 237-249 - [c78]Vipin Kumar, Mahesh V. Joshi, Eui-Hong Han, Pang-Ning Tan, Michael S. Steinbach:
High Performance Data Mining. VECPAR 2002: 111-125 - [c77]B. Uygar Oztekin, George Karypis, Vipin Kumar:
Expert agreement and content based reranking in a meta search environment using Mearf. WWW 2002: 333-344 - 2001
- [c76]Kirk Schloegel, George Karypis, Vipin Kumar:
Graph Partitioning for Dynamic, Adaptive and Multi-phase Scientific Simulations. CLUSTER 2001: 271-273 - [c75]Ananth Grama, Vipin Kumar, Sanjay Ranka, Vineet Singh:
Architecture Independent Analysis of Parallel Programs. International Conference on Computational Science (2) 2001: 599-608 - [c74]Mahesh V. Joshi, Vipin Kumar, Ramesh C. Agarwal:
Evaluating Boosting Algorithms to Classify Rare Classes: Comparison and Improvements. ICDM 2001: 257-264 - [c73]Pang-Ning Tan, Vipin Kumar:
Mining Indirect Associations in Web Data. WebKDD 2001: 145-166 - [c72]Eui-Hong Han, George Karypis, Vipin Kumar:
Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification. PAKDD 2001: 53-65 - [c71]Mahesh V. Joshi, Ramesh C. Agarwal, Vipin Kumar:
Mining Needle in a Haystack: Classifying Rare Classes via Two-phase Rule Induction. SIGMOD Conference 2001: 91-102 - 2000
- [c70]William Leinberger, George Karypis, Vipin Kumar:
Memory Management Techniques for Gang Scheduling. Euro-Par 2000: 252-261 - [c69]Kirk Schloegel, George Karypis, Vipin Kumar:
Parallel Multilevel Algorithms for Multi-constraint Graph Partitioning (Distinguished Paper). Euro-Par 2000: 296-310 - [c68]William Leinberger, George Karypis, Vipin Kumar:
Load Balancing Across Near-Homogeneous Multi-Resource Servers. Heterogeneous Computing Workshop 2000: 60-71 - [c67]Vipin Kumar, Kirk Schloegel, George Karypis:
Graph Partitioning for Dynamic, Adaptive, and Multi-phase Computations. IPDPS Workshops 2000: 476-476 - [c66]Vipin Kumar, Mohammed J. Zaki:
High performance data mining (tutorial PM-3). KDD Tutorial Notes 2000: 309-425 - [c65]Hillol Kargupta, Philip Chan, Vipin Kumar, Zoran Obradovic:
Distributed and parallel knowledge discovery (workshop session - title only). KDD 2000: 534 - [c64]Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava:
Indirect Association: Mining Higher Order Dependencies in Data. PKDD 2000: 632-637 - [c63]Kirk Schloegel, George Karypis, Vipin Kumar:
A Unified Algorithm for Load-balancing Adaptive Scientific Simulations. SC 2000: 59 - 1999
- [c62]George Karypis, Vipin Kumar:
Multilevel k-way Hypergraph Partitioning. DAC 1999: 343-348 - [c61]Kirk Schloegel, George Karypis, Vipin Kumar:
A New Algorithm for Multi-objective Graph Partitioning. Euro-Par 1999: 322-331 - [c60]Vipin Kumar, Jaideep Srivastava:
High Performance Data Mining. HiPC 1999: 177 - [c59]William Leinberger, George Karypis, Vipin Kumar:
Multi-Capacity Bin Packing Algorithms with Applications to Job Scheduling under Multiple Constraints. ICPP 1999: 404-412 - [c58]Mahesh V. Joshi, Eui-Hong Han, George Karypis, Vipin Kumar:
Efficient Parallel Algorithms for Mining Associations. Large-Scale Parallel Data Mining 1999: 83-126 - [c57]Mahesh V. Joshi, George Karypis, Vipin Kumar, Anshul Gupta, Fred G. Gustavson:
PSPASES: An Efficient and Scalable Parallel Sparse Direct Solver. PP 1999 - [c56]Kirk Schloegel, George Karypis, Vipin Kumar:
Dynamic Repartitioning of Adaptively Refined Meshes. PP 1999 - [c55]William Leinberger, George Karypis, Vipin Kumar:
Job Scheduling in the presence of Multiple Resource Requirements. SC 1999: 47 - 1998
- [c54]Eui-Hong Han, Daniel Boley, Maria L. Gini, Robert Gross, Kyle Hastings, George Karypis, Vipin Kumar, Bamshad Mobasher, Jerome Moore:
WebACE: A Web Agent for Document Categorization and Exploration. Agents 1998: 408-415 - [c53]Anurag Srivastava, Eui-Hong Han, Vipin Kumar, Vineet Singh:
Parallel Formulations of Decision-Tree Classification Algorithms. ICPP 1998: 237-244 - [c52]Mahesh V. Joshi, George Karypis, Vipin Kumar:
ScalParC: A New Scalable and Efficient Parallel Classification Algorithm for Mining Large Datasets. IPPS/SPDP 1998: 573-579 - [c51]Anshul Gupta, Mahesh V. Joshi, Vipin Kumar:
WSSMP: A High-Performance Serial and Parallel Symmetric Sparse Linear Solver. PARA 1998: 182-194 - [c50]George Karypis, Vipin Kumar:
Multilevel Algorithms for Multi-Constraint Graph Partitioning. SC 1998: 28 - [c49]Kirk Schloegel, George Karypis, Vipin Kumar:
Dynamic Repartitioning of Adaptively Refined Meshes. SC 1998: 29 - [c48]Kirk Schloegel, George Karypis, Vipin Kumar:
Load Balancing of Dynamic and Adaptive Mesh-Based Computations. SRDS 1998: 311 - 1997
- [c47]George Karypis, Rajat Aggarwal, Vipin Kumar, Shashi Shekhar:
Multilevel Hypergraph Partitioning: Application in VLSI Domain. DAC 1997: 526-529 - [c46]Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad Mobasher:
Clustering Based On Association Rule Hypergraphs. DMKD 1997 - [c45]Kirk Schloegel, George Karypis, Vipin Kumar:
Repartitioning of Adaptive Meshes: Experiments with Multilevel Diffusion. Euro-Par 1997: 945-949 - [c44]Mahesh V. Joshi, Anshul Gupta, George Karypis, Vipin Kumar:
A high performance two dimensional scalable parallel algorithm for solving sparse triangular systems. HiPC 1997: 137-143 - [c43]Anshul Gupta, Fred G. Gustavson, Mahesh V. Joshi, George Karypis, Vipin Kumar:
Design and Implementation of a Scalable Parallel Direct Solver for Sparse Symmetric Positive Definite Systems: Preliminary Results. PP 1997 - [c42]George Karypis, Vipin Kumar:
A Coarse-Grain Parallel Formulation of Multilevel k-way Graph Partitioning Algorithm. PP 1997 - [c41]Vipin Kumar, George Karypis, Ananth Grama:
Role of Message-Passing in Performance Oriented Parallel Programming. PP 1997 - [c40]George Karypis, Vipin Kumar:
Parallel Threshold-based ILU Factorization. SC 1997: 28 - [c39]Eui-Hong Han, George Karypis, Vipin Kumar:
Scalable Parallel Data Mining for Association Rules. SIGMOD Conference 1997: 277-288 - 1996
- [c38]George Karypis, Vipin Kumar:
Parallel Multilevel Graph Partitioning. IPPS 1996: 314-319 - [c37]Ananth Grama, Vipin Kumar, Ahmed H. Sameh:
Parallel Hierarchical Solvers and Preconditioners for Boundary Element Methods. SC 1996: 34 - [c36]George Karypis, Vipin Kumar:
Parallel Multilevel k-way Partitioning Scheme for Irregular Graphs. SC 1996: 35 - 1995
- [c35]George Karypis, Vipin Kumar:
Multilevel Graph Partitioning Schemes. ICPP (3) 1995: 113-122 - [c34]Daniel J. Challou, Daniel Boley, Maria L. Gini, Vipin Kumar:
A parallel Formulation of Informed Randomized Search for Robot Motion Planning Problems. ICRA 1995: 709-714 - [c33]George Karypis, Anshul Gupta, Vipin Kumar:
A Highly Parallel Interior Point Algorithm. PP 1995: 110-112 - [c32]Ananth Grama, Vipin Kumar, Ahmed H. Sameh:
N-Body Simulations Using Message Passsing Parallel Computers. PP 1995: 355-360 - [c31]Anshul Gupta, Vipin Kumar:
Optimally Scalable Parallel Sparse Cholesky Factorization. PP 1995: 442-447 - [c30]George Karypis, Vipin Kumar:
Analysis of Multilevel Graph Partitioning. SC 1995: 29 - [c29]Anshul Gupta, Vipin Kumar:
Parallel Algorithms for Forward and Back Substitution in Direct Solution of Sparse Linear Systems. SC 1995: 74 - [c28]Ananth Grama, Vipin Kumar, Ahmed H. Sameh:
Parallel Matrix-Vector Product Using Approximate Hierarchical Methods. SC 1995: 75 - [c27]Shashi Shekhar, Sivakumar Ravada, Vipin Kumar, Douglas Chubb, Greg Turner:
Load Balancing in High Performance GIS: Declustering Polygonal Maps. SSD 1995: 196-215 - 1994
- [c26]George Karypis, Anshul Gupta, Vipin Kumar:
Experiences with a Parallel Formulation of an Interior Point Algorithm. Parallel Processing of Discrete Optimization Problems 1994: 163-180 - [c25]George Karypis, Anshul Gupta, Vipin Kumar:
A parallel formulation of interior point algorithms. SC 1994: 204-213 - [c24]Ananth Grama, Vipin Kumar, Ahmed H. Sameh:
Scalable parallel formulations of the Barnes-Hut method for n-body simulations. SC 1994: 439-448 - [c23]Anshul Gupta, Vipin Kumar:
A scalable parallel algorithm for sparse Cholesky factorization. SC 1994: 793-802 - 1993
- [c22]Anshul Gupta, Vipin Kumar:
Scalability of Parallel Algorithms for Matrix Multiplication. ICPP (3) 1993: 115-123 - [c21]Daniel J. Challou, Maria L. Gini, Vipin Kumar:
Parallel Search Algorithms for Robot Motion Planning. ICRA (2) 1993: 46-51 - [c20]Vipin Kumar, Ananth Y. Grama:
Parallel search algorithms for discrete optimization problems. System Modelling and Optimization 1993: 55-69 - [c19]George Karypis, Vipin Kumar:
Efficient Parallel Mappings of a Dynamic Programming Algorithm: A Summary of Results. IPPS 1993: 563-568 - [c18]Anshul Gupta, Vipin Kumar, Ahmed H. Sameh:
Performance and Scalability of Preconditioned Conjugate Gradient Methods on the CM-5. PPSC 1993: 664-674 - 1992
- [c17]Ananth Grama, Vipin Kumar:
Scalability Analysis of Partitioning Strategies for Finite Element Graphs: A Summary of Results. SC 1992: 83-92 - [c16]George Karypis, Vipin Kumar:
Unstructured Tree Search on SIMD Parallel Computers: A Summary of Results. SC 1992: 453-462 - 1991
- [c15]Nageshwara Rao Vempaty, Vipin Kumar, Richard E. Korf:
Depth-First Versus Best-First Search. AAAI 1991: 434-440 - [c14]Vipin Kumar, Anshul Gupta:
Analysis of scalability of parallel algorithms and architectures: a survey. ICS 1991: 396-405 - [c13]Vineet Singh, Vipin Kumar, Gul Agha, Chris Tomlinson:
Scalability of Parallel Sorting on Mesh Multicomputers. IPPS 1991: 92-101 - 1990
- [c12]Vipin Kumar, Vineet Singh:
Scalability of Parallel Algorithms for the All-Pairs Shortest Path Problem: A Summary of Results. ICPP (3) 1990: 136-140 - 1989
- [c11]Sunil Arvindam, Vipin Kumar, V. Nageshwara Rao:
Floorplan optimization on multiprocessors. ICCD 1989: 109-114 - [c10]Sunil Arvindam, Vipin Kumar, V. Nageshwara Rao, Vineet Singh:
Automatic Test Pattern Generation on Multiprocessors: A Summary of Results. KBCS 1989: 41-51 - 1988
- [c9]Vipin Kumar, K. Ramesh, V. Nageshwara Rao:
Parallel Best-First Search of State-Space Graphs: A Summary of Results. AAAI 1988: 122-127 - [c8]Yow-Jian Lin, Vipin Kumar:
Performance of And-Paralle Execution of Logic Programs on a Shared-Memory Multiprocessor. FGCS 1988: 851-860 - [c7]V. Nageshwara Rao, Vipin Kumar:
Superlinear Speedup in Parallel State-Space Search. FSTTCS 1988: 161-174 - [c6]Yow-Jian Lin, Vipin Kumar:
AND-Parallel Execution of Logic Programs on a Shared Memory Multiprocessor: A Summary of Results. ICLP/SLP 1988: 1123-1141 - 1987
- [c5]V. Nageshwara Rao, Vipin Kumar, K. Ramesh:
A Parallel Implementation of Iterative-Deepening-A*. AAAI 1987: 178-182 - [c4]Vipin Kumar, Yow-Jian Lin:
An Intelligent Backtracking Scheme for Prolog. SLP 1987: 406-414 - 1986
- [c3]Vipin Kumar, Yow-Jian Lin:
A Framework for Intelligent Backtracking in Logic Programs. FSTTCS 1986: 108-123 - [c2]Yow-Jian Lin, Vipin Kumar, Clement H. C. Leung:
An Intelligent Backtracking Algorithm for Parallel Execution of Logic Programs. ICLP 1986: 55-68 - [c1]Vipin Kumar, Yow-Jian Lin:
A Parallel Execution Scheme for Exploiting and Parallelism of Logic Programs. ICPP 1986: 972-975
Parts in Books or Collections
- 2016
- [p6]Anuj Karpatne, Ankush Khandelwal, Xi Chen, Varun Mithal, James H. Faghmous, Vipin Kumar:
Global Monitoring of Inland Water Dynamics: State-of-the-Art, Challenges, and Opportunities. Computational Sustainability 2016: 121-147 - 2015
- [p5]Sanjoy Dey, Rohit Gupta, Michael S. Steinbach, Vipin Kumar:
Predictive Models for Integrating Clinical and Genomic Data. Healthcare Data Analytics 2015: 433-465 - 2013
- [p4]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:
Earth Science Applications of Sensor Data. Managing and Mining Sensor Data 2013: 505-530 - 2009
- [p3]Chandrika Kamath, Nikil Wale, George Karypis, Gaurav Pandey, Vipin Kumar, Krishna Rajan, Nagiza F. Samatova, Paul Breimyer, Guruprasad Kora, Chongle Pan, Srikanth B. Yoginath:
Scientific Data Analysis. Scientific Data Management 2009 - 2008
- [p2]Shyam Boriah, Vipin Kumar, Michael S. Steinbach, Pang-Ning Tan, Christopher Potter, Steven A. Klooster:
Detecting Ecosystem Disturbances and Land Cover Change Using Data Mining. Next Generation of Data Mining 2008 - 2003
- [p1]Levent Ertöz, Michael S. Steinbach, Vipin Kumar:
Finding Topics in Collections of Documents: A Shared Nearest Neighbor Approach. Clustering and Information Retrieval 2003: 83-104
Editorship
- 2025
- [e26]Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu:
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. Lecture Notes in Computer Science 15870, Springer 2025, ISBN 978-981-96-8169-3 [contents] - [e25]Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu:
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. Lecture Notes in Computer Science 15871, Springer 2025, ISBN 978-981-96-8172-3 [contents] - [e24]Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu:
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. Lecture Notes in Computer Science 15872, Springer 2025, ISBN 978-981-96-8179-2 [contents] - [e23]Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu:
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. Lecture Notes in Computer Science 15873, Springer 2025, ISBN 978-981-96-8182-2 [contents] - [e22]Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu:
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. Lecture Notes in Computer Science 15874, Springer 2025, ISBN 978-981-96-8185-3 [contents] - [e21]Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Xiangmin Zhou, Guansong Pang, João Gama:
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. Lecture Notes in Computer Science 15875, Springer 2025, ISBN 978-981-96-8294-2 [contents] - [e20]Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Xiangmin Zhou, Guansong Pang, João Gama:
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. Lecture Notes in Computer Science 15876, Springer 2025, ISBN 978-981-96-8297-3 [contents] - 2019
- [e19]Ankur Teredesai, Vipin Kumar, Ying Li, Rómer Rosales, Evimaria Terzi, George Karypis:
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019. ACM 2019, ISBN 978-1-4503-6201-6 [contents] - 2008
- [e18]Hillol Kargupta, Jiawei Han, Philip S. Yu, Rajeev Motwani, Vipin Kumar:
Next Generation of Data Mining. Chapman and Hall / CRC Data Mining and Knowledge Discovery Series, CRC Press / Chapman and Hall / Taylor & Francis 2008, ISBN 978-1-4200-8586-0 [contents] - 2006
- [e17]Marina L. Gavrilova, Osvaldo Gervasi, Vipin Kumar, Chih Jeng Kenneth Tan, David Taniar, Antonio Laganà, Youngsong Mun, Hyunseung Choo:
Computational Science and Its Applications - ICCSA 2006, International Conference, Glasgow, UK, May 8-11, 2006, Proceedings, Part I. Lecture Notes in Computer Science 3980, Springer 2006, ISBN 3-540-34070-X [contents] - [e16]Marina L. Gavrilova, Osvaldo Gervasi, Vipin Kumar, Chih Jeng Kenneth Tan, David Taniar, Antonio Laganà, Youngsong Mun, Hyunseung Choo:
Computational Science and Its Applications - ICCSA 2006, International Conference, Glasgow, UK, May 8-11, 2006, Proceedings, Part II. Lecture Notes in Computer Science 3981, Springer 2006, ISBN 3-540-34072-6 [contents] - [e15]Marina L. Gavrilova, Osvaldo Gervasi, Vipin Kumar, Chih Jeng Kenneth Tan, David Taniar, Antonio Laganà, Youngsong Mun, Hyunseung Choo:
Computational Science and Its Applications - ICCSA 2006, International Conference, Glasgow, UK, May 8-11, 2006, Proceedings, Part III. Lecture Notes in Computer Science 3982, Springer 2006, ISBN 3-540-34075-0 [contents] - [e14]Marina L. Gavrilova, Osvaldo Gervasi, Vipin Kumar, Chih Jeng Kenneth Tan, David Taniar, Antonio Laganà, Youngsong Mun, Hyunseung Choo:
Computational Science and Its Applications - ICCSA 2006, International Conference, Glasgow, UK, May 8-11, 2006, Proceedings, Part IV. Lecture Notes in Computer Science 3983, Springer 2006, ISBN 3-540-34077-7 [contents] - [e13]Marina L. Gavrilova, Osvaldo Gervasi, Vipin Kumar, Chih Jeng Kenneth Tan, David Taniar, Antonio Laganà, Youngsong Mun, Hyunseung Choo:
Computational Science and Its Applications - ICCSA 2006, International Conference, Glasgow, UK, May 8-11, 2006, Proceedings, Part V. Lecture Notes in Computer Science 3984, Springer 2006, ISBN 3-540-34079-3 [contents] - 2005
- [e12]Osvaldo Gervasi, Marina L. Gavrilova, Vipin Kumar, Antonio Laganà, Heow Pueh Lee, Youngsong Mun, David Taniar, Chih Jeng Kenneth Tan:
Computational Science and Its Applications - ICCSA 2005, International Conference, Singapore, May 9-12, 2005, Proceedings, Part I. Lecture Notes in Computer Science 3480, Springer 2005, ISBN 3-540-25860-4 [contents] - [e11]Osvaldo Gervasi, Marina L. Gavrilova, Vipin Kumar, Antonio Laganà, Heow Pueh Lee, Youngsong Mun, David Taniar, Chih Jeng Kenneth Tan:
Computational Science and Its Applications - ICCSA 2005, International Conference, Singapore, May 9-12, 2005, Proceedings, Part II. Lecture Notes in Computer Science 3481, Springer 2005, ISBN 3-540-25861-2 [contents] - [e10]Osvaldo Gervasi, Marina L. Gavrilova, Vipin Kumar, Antonio Laganà, Heow Pueh Lee, Youngsong Mun, David Taniar, Chih Jeng Kenneth Tan:
Computational Science and Its Applications - ICCSA 2005, International Conference, Singapore, May 9-12, 2005, Proceedings, Part III. Lecture Notes in Computer Science 3482, Springer 2005, ISBN 3-540-25862-0 [contents] - [e9]Osvaldo Gervasi, Marina L. Gavrilova, Vipin Kumar, Antonio Laganà, Heow Pueh Lee, Youngsong Mun, David Taniar, Chih Jeng Kenneth Tan:
Computational Science and Its Applications - ICCSA 2005, International Conference, Singapore, May 9-12, 2005, Proceedings, Part IV. Lecture Notes in Computer Science 3483, Springer 2005, ISBN 3-540-25863-9 [contents] - 2004
- [e8]Antonio Laganà, Marina L. Gavrilova, Vipin Kumar, Youngsong Mun, Chih Jeng Kenneth Tan, Osvaldo Gervasi:
Computational Science and Its Applications - ICCSA 2004, International Conference, Assisi, Italy, May 14-17, 2004, Proceedings, Part I. Lecture Notes in Computer Science 3043, Springer 2004, ISBN 3-540-22054-2 [contents] - [e7]Antonio Laganà, Marina L. Gavrilova, Vipin Kumar, Youngsong Mun, Chih Jeng Kenneth Tan, Osvaldo Gervasi:
Computational Science and Its Applications - ICCSA 2004, International Conference, Assisi, Italy, May 14-17, 2004, Proceedings, Part II. Lecture Notes in Computer Science 3044, Springer 2004, ISBN 3-540-22056-9 [contents] - [e6]Antonio Laganà, Marina L. Gavrilova, Vipin Kumar, Youngsong Mun, Chih Jeng Kenneth Tan, Osvaldo Gervasi:
Computational Science and Its Applications - ICCSA 2004, International Conference, Assisi, Italy, May 14-17, 2004, Proceedings, Part III. Lecture Notes in Computer Science 3045, Springer 2004, ISBN 3-540-22057-7 [contents] - [e5]Antonio Laganà, Marina L. Gavrilova, Vipin Kumar, Youngsong Mun, Chih Jeng Kenneth Tan, Osvaldo Gervasi:
Computational Science and Its Applications - ICCSA 2004, International Conference, Assisi, Italy, May 14-17, 2004, Proceedings, Part IV. Lecture Notes in Computer Science 3046, Springer 2004, ISBN 3-540-22060-7 [contents] - 2003
- [e4]Vipin Kumar, Marina L. Gavrilova, Chih Jeng Kenneth Tan, Pierre L'Ecuyer:
Computational Science and Its Applications - ICCSA 2003, International Conference, Montreal, Canada, May 18-21, 2003, Proceedings, Part I. Lecture Notes in Computer Science 2667, Springer 2003, ISBN 3-540-40155-5 [contents] - [e3]Vipin Kumar, Marina L. Gavrilova, Chih Jeng Kenneth Tan, Pierre L'Ecuyer:
Computational Science and Its Applications - ICCSA 2003, International Conference, Montreal, Canada, May 18-21, 2003, Proceedings, Part II. Lecture Notes in Computer Science 2668, Springer 2003, ISBN 3-540-40161-X [contents] - [e2]Vipin Kumar, Marina L. Gavrilova, Chih Jeng Kenneth Tan, Pierre L'Ecuyer:
Computational Science and Its Applications - ICCSA 2003, International Conference, Montreal, Canada, May 18-21, 2003, Proceedings, Part III. Lecture Notes in Computer Science 2669, Springer 2003, ISBN 3-540-40156-3 [contents] - 2002
- [e1]Robert L. Grossman, Jiawei Han, Vipin Kumar, Heikki Mannila, Rajeev Motwani:
Proceedings of the Second SIAM International Conference on Data Mining, Arlington, VA, USA, April 11-13, 2002. SIAM 2002, ISBN 978-0-89871-517-0 [contents]
Reference Works
- 2017
- [r5]Varun Chandola, Arindam Banerjee, Vipin Kumar:
Active Learning. Encyclopedia of Machine Learning and Data Mining 2017: 42-56 - 2009
- [r4]Hui Xiong, Michael S. Steinbach, Pang-Ning Tan, Vipin Kumar, Wenjun Zhou:
Pattern Preserving Clustering. Encyclopedia of Data Warehousing and Mining 2009: 1505-1510 - [r3]Ananth Grama, Vipin Kumar:
Load Balancing for Parallel Optimization Techniques. Encyclopedia of Optimization 2009: 1905-1911 - 2007
- [r2]Ananth Grama, Vipin Kumar:
Scalability of Parallel Programs. Handbook of Parallel Computing 2007 - 2004
- [r1]Vipin Kumar, Pang-Ning Tan, Michael S. Steinbach:
Data Mining. Handbook of Data Structures and Applications 2004
Data and Artifacts
- 2021
- [d3]Jacob A. Zwart, Samantha K. Oliver, William Watkins, Jeffrey M. Sadler, Alison P. Appling, Hayley Corson-Dosch, Xiaowei Jia, Vipin Kumar, Jordan S. Read:
Source code: Near-term forecasts of stream temperature using process-guided deep learning and data assimilation. Version 0.9.0. Zenodo, 2021 [all versions]
- [d2]Jacob A. Zwart, Samantha K. Oliver, William Watkins, Jeffrey M. Sadler, Alison P. Appling, Hayley Corson-Dosch, Xiaowei Jia, Vipin Kumar, Jordan S. Read:
Source code: Near-term forecasts of stream temperature using process-guided deep learning and data assimilation. Version 0.9.0. Zenodo, 2021 [all versions] - [d1]Jacob A. Zwart, Samantha K. Oliver, William Watkins, Jeffrey M. Sadler, Alison P. Appling, Hayley Corson-Dosch, Xiaowei Jia, Vipin Kumar, Jordan S. Read:
Source code: Near-term forecasts of stream temperature using process-guided deep learning and data assimilation. Version 1.0.0. Zenodo, 2021 [all versions]
Informal and Other Publications
- 2024
- [i52]Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar:
Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. CoRR abs/2401.15875 (2024) - [i51]Anuj Karpatne, Xiaowei Jia, Vipin Kumar:
Knowledge-guided Machine Learning: Current Trends and Future Prospects. CoRR abs/2403.15989 (2024) - [i50]Praveen Ravirathinam, Ankush Khandelwal, Rahul Ghosh, Vipin Kumar:
Towards a Knowledge guided Multimodal Foundation Model for Spatio-Temporal Remote Sensing Applications. CoRR abs/2407.19660 (2024) - [i49]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 abs/2407.20152 (2024) - [i48]Kshitij Tayal, Arvind Renganathan, Xiaowei Jia, Vipin Kumar, Dan Lu:
ExoTST: Exogenous-Aware Temporal Sequence Transformer for Time Series Prediction. CoRR abs/2410.12184 (2024) - [i47]Shaoming Xu, Arvind Renganathan, Ankush Khandelwal, Rahul Ghosh, Xiang Li, Licheng Liu, Kshitij Tayal, Peter Harrington, Xiaowei Jia, Zhenong Jin, John Nieber, Vipin Kumar:
Hierarchical Conditional Multi-Task Learning for Streamflow Modeling. CoRR abs/2410.14137 (2024) - [i46]Jared D. Willard, Fabio Ciulla, Helen Weierbach, Vipin Kumar, Charuleka Varadharajan:
Evaluating Deep Learning Approaches for Predictions in Unmonitored Basins with Continental-scale Stream Temperature Models. CoRR abs/2410.19865 (2024) - 2023
- [i45]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 abs/2301.00363 (2023) - [i44]Rahul Ghosh, Haoyu Yang, Ankush Khandelwal, Erhu He, Arvind Renganathan, Somya Sharma, Xiaowei Jia, Vipin Kumar:
Entity Aware Modelling: A Survey. CoRR abs/2302.08406 (2023) - [i43]Longbing Cao, Hui Chen, Xuhui Fan, João Gama, Yew-Soon Ong, Vipin Kumar:
Bayesian Federated Learning: A Survey. CoRR abs/2304.13267 (2023) - [i42]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:
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence. CoRR abs/2307.07522 (2023) - [i41]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 abs/2308.09766 (2023) - [i40]Kshitij Tayal, Arvind Renganathan, Rahul Ghosh, Xiaowei Jia, Vipin Kumar:
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling. CoRR abs/2309.10291 (2023) - [i39]Shaoming Xu, Ankush Khandelwal, Arvind Renganathan, Vipin Kumar:
Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling. CoRR abs/2309.16882 (2023) - [i38]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. CoRR abs/2310.01593 (2023) - [i37]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 abs/2310.02193 (2023) - [i36]Arvind Renganathan, Rahul Ghosh, Ankush Khandelwal, Vipin Kumar:
Task Aware Modulation using Representation Learning: An Approach for Few Shot Learning in Heterogeneous Systems. CoRR abs/2310.04727 (2023) - 2022
- [i35]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 abs/2210.06213 (2022) - [i34]Praveen Ravirathinam, Rahul Ghosh, Ke Wang, Keyang Xuan, Ankush Khandelwal, Hilary Dugan, Paul C. Hanson, Vipin Kumar:
Spatiotemporal Classification with limited labels using Constrained Clustering for large datasets. CoRR abs/2210.07522 (2022) - [i33]Shaoming Xu, Ankush Khandelwal, Xiang Li, Xiaowei Jia, Licheng Liu, Jared Willard, Rahul Ghosh, Kelly Cutler, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar:
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications. CoRR abs/2210.08347 (2022) - [i32]Jia Li, Xiang Li, Xiaowei Jia, Michael S. Steinbach, Vipin Kumar:
Realization of Causal Representation Learning to Adjust Confounding Bias in Latent Space. CoRR abs/2211.08573 (2022) - 2021
- [i31]Rahul Ghosh, Xiaowei Jia, Vipin Kumar:
Land Cover Mapping in Limited Labels Scenario: A Survey. CoRR abs/2103.02429 (2021) - [i30]Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar:
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping. CoRR abs/2105.02963 (2021) - [i29]Kshitij Tayal, Raunak Manekar, Zhong Zhuang, David Yang, Vipin Kumar, Felix Hofmann, Ju Sun:
Phase Retrieval using Single-Instance Deep Generative Prior. CoRR abs/2106.04812 (2021) - [i28]Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar:
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels. CoRR abs/2107.12499 (2021) - [i27]Rahul Ghosh, Xiaowei Jia, Chenxi Lin, Zhenong Jin, Vipin Kumar:
Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping. CoRR abs/2108.07323 (2021) - [i26]Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Vipin Kumar:
Weakly Supervised Classification Using Group-Level Labels. CoRR abs/2108.07330 (2021) - [i25]Rahul Ghosh, Arvind Renganathan, Ankush Khandelwal, Xiaowei Jia, Xiang Li, John Nieber, Christopher J. Duffy, Vipin Kumar:
Knowledge-guided Self-supervised Learning for estimating River-Basin Characteristics. CoRR abs/2109.06429 (2021) - 2020
- [i24]Guruprasad Nayak, Rahul Ghosh, Xiaowei Jia, Varun Mithal, Vipin Kumar:
Semi-supervised Classification using Attention-based Regularization on Coarse-resolution Data. CoRR abs/2001.00994 (2020) - [i23]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 abs/2001.11086 (2020) - [i22]Jared Willard, Xiaowei Jia, Shaoming Xu, Michael S. Steinbach, Vipin Kumar:
Integrating Physics-Based Modeling with Machine Learning: A Survey. CoRR abs/2003.04919 (2020) - [i21]Kshitij Tayal, Chieh-Hsin Lai, Vipin Kumar, Ju Sun:
Inverse Problems, Deep Learning, and Symmetry Breaking. CoRR abs/2003.09077 (2020) - [i20]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:
Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks. CoRR abs/2009.12575 (2020) - [i19]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 abs/2011.05369 (2020) - [i18]Jia Li, Xiaowei Jia, Haoyu Yang, Vipin Kumar, Michael S. Steinbach, György J. Simon:
Teaching deep learning causal effects improves predictive performance. CoRR abs/2011.05466 (2020) - [i17]Ankush Khandelwal, Shaoming Xu, Xiang Li, Xiaowei Jia, Michael S. Steinbach, Christopher J. Duffy, John Nieber, Vipin Kumar:
Physics Guided Machine Learning Methods for Hydrology. CoRR abs/2012.02854 (2020) - 2019
- [i16]Xiaowei Jia, Ankush Khandelwal, Vipin Kumar:
Automated Monitoring Cropland Using Remote Sensing Data: Challenges and Opportunities for Machine Learning. CoRR abs/1904.04329 (2019) - [i15]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 abs/1906.01450 (2019) - 2018
- [i14]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 abs/1802.06095 (2018) - [i13]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 abs/1810.02880 (2018) - [i12]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 abs/1810.02950 (2018) - [i11]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 abs/1810.13075 (2018) - 2017
- [i10]Pranjul Yadav, Michael S. Steinbach, Vipin Kumar, György J. Simon:
Mining Electronic Health Records: A Survey. CoRR abs/1702.03222 (2017) - [i9]Anuj Karpatne, William Watkins, Jordan S. Read, Vipin Kumar:
Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling. CoRR abs/1710.11431 (2017) - [i8]Anuj Karpatne, Imme Ebert-Uphoff, Sai Ravela, Hassan Ali Babaie, Vipin Kumar:
Machine Learning for the Geosciences: Challenges and Opportunities. CoRR abs/1711.04708 (2017) - [i7]Gowtham Atluri, Anuj Karpatne, Vipin Kumar:
Spatio-Temporal Data Mining: A Survey of Problems and Methods. CoRR abs/1711.04710 (2017) - [i6]Ankush Khandelwal, Anuj Karpatne, Vipin Kumar:
ORBIT: Ordering Based Information Transfer Across Space and Time for Global Surface Water Monitoring. CoRR abs/1711.05799 (2017) - [i5]Xiaowei Jia, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar:
Discovery of Shifting Patterns in Sequence Classification. CoRR abs/1712.07203 (2017) - 2016
- [i4]Pranjul Yadav, Lisiane Pruinelli, Alexander Hoff, Michael S. Steinbach, Bonnie L. Westra, Vipin Kumar, György J. Simon:
Causal Inference in Observational Data. CoRR abs/1611.04660 (2016) - [i3]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. CoRR abs/1612.08544 (2016) - 2012
- [i2]Gaurav Pandey, Sahil Manocha, Gowtham Atluri, Vipin Kumar:
Enhancing the functional content of protein interaction networks. CoRR abs/1210.6912 (2012) - 2011
- [i1]Gang Fang, Wen Wang, Benjamin Oatley, Brian Van Ness, Michael S. Steinbach, Vipin Kumar:
Characterizing Discriminative Patterns. CoRR abs/1102.4104 (2011)
Coauthor Index
Ananth Grama
aka: Ananth Y. Grama
aka: Ananth Y. Grama
[j97] [j93] [j89] [j86] [c235] [c232] [c229] [c225] [c223] [c222] [c221] [c220] [c219] [c218] [c217] [c215] [c214] [c213] [c212] [c211] [c209] [c208] [c206] [c204] [c203] [c202] [c200] [c199] [c195] [c194] [c190] [c189] [d3] [d2] [d1] [i52] [i51] [i48] [i47] [i45] [i44] [i41] [i40] [i33] [i32] [i31] [i30] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i20] [i19] [i18] [i17] [i16] [i13] [i11] [i5]
[b1] [j44] [j42] [j39] [j37] [j36] [j35] [j34] [j32] [j30] [j28] [j27] [j26] [j25] [j22] [j20] [j19] [j14] [c107] [c77] [c76] [c72] [c70] [c69] [c68] [c67] [c63] [c62] [c61] [c59] [c58] [c57] [c56] [c55] [c54] [c52] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c36] [c35] [c33] [c30] [c26] [c25] [c19] [c16] [p3] [e19]
V. Nageshwara Rao
aka: Nageshwara Rao Vempaty
aka: Nageshwara Rao Vempaty
[b3] [b2] [j98] [j97] [j95] [j93] [j92] [j91] [j90] [j88] [j84] [j79] [j76] [j68] [j66] [j64] [j63] [j60] [j56] [j54] [j52] [j49] [j47] [c236] [c233] [c231] [c227] [c225] [c217] [c214] [c210] [c205] [c202] [c201] [c198] [c188] [c185] [c183] [c180] [c171] [c170] [c168] [c166] [c164] [c163] [c161] [c155] [c153] [c151] [c148] [c145] [c141] [c140] [c139] [c138] [c137] [c136] [c133] [c132] [c131] [c129] [c128] [c126] [c124] [c123] [c122] [c121] [c119] [c117] [c115] [c111] [c106] [c104] [c100] [c97] [c94] [c88] [c84] [c78] [p5] [p4] [p2] [p1] [r4] [r1] [i49] [i38] [i33] [i32] [i23] [i22] [i20] [i18] [i17] [i13] [i12] [i11] [i10] [i4] [i3] [i1]
Jared Willard
aka: Jared D. Willard
aka: Jared D. Willard
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