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ORCIDSnigdhansu Chatterjee
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2020 – today
- 2023
[c14]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- [i8]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) - 2022
- [j11]Somya Sharma
, Marten Thompson, Debra F. Laefer, Michael Lawler, Kevin L. McIlhany, Olivier Pauluis, Dallas R. Trinkle, Snigdhansu Chatterjee:
Machine Learning Methods for Multiscale Physics and Urban Engineering Problems. Entropy 24(8): 1134 (2022) - [j10]Subhabrata Majumdar, Snigdhansu Chatterjee:
On weighted multivariate sign functions. J. Multivar. Anal. 191: 105013 (2022) - [c13]Subhabrata Majumdar, Snigdhansu Chatterjee:
Feature selection using e-values. ICML 2022: 14753-14773 - [i7]Subhabrata Majumdar, Snigdhansu Chatterjee:
Feature Selection using e-values. CoRR abs/2206.05391 (2022) - [i6]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) - 2021
- [j9]Somya Sharma, Snigdhansu Chatterjee:
Winsorization for Robust Bayesian Neural Networks. Entropy 23(11): 1546 (2021) - [i5]Subhabrata Majumdar, Snigdhansu Chatterjee:
Generalized Multivariate Signs for Nonparametric Hypothesis Testing in High Dimensions. CoRR abs/2107.01103 (2021) - [i4]Neel Chatterjee, Somya Sharma, Sarah L. Swisher, Snigdhansu Chatterjee:
Approximate Bayesian Computation for Physical Inverse Modeling. CoRR abs/2111.13296 (2021) - 2020
- [j8]Jun Young Park, Jörg Polzehl, Snigdhansu Chatterjee, André Brechmann, Mark Fiecas:
Semiparametric modeling of time-varying activation and connectivity in task-based fMRI data. Comput. Stat. Data Anal. 150: 107006 (2020) - [j7]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)
2010 – 2019
- 2019
- [i3]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
- [i2]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) - [i1]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) - 2017
- [c12]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 - 2016
- [c11]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 - 2015
- [c10]Ujjal Kumar Mukherjee, Subhabrata Majumdar, Snigdhansu Chatterjee:
Fast and Robust Supervised Learning in High Dimensions Using the Geometry of the Data. ICDM 2015: 109-123 - 2014
- [c9]Ujjal Kumar Mukherjee, Snigdhansu Chatterjee:
Fast algorithm for computing weighted projection quantiles and data depth for high-dimensional large data clouds. IEEE BigData 2014: 64-71 - 2013
- [c8]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 - [c7]Xi C. Chen, Karsten Steinhaeuser, Shyam Boriah, Snigdhansu Chatterjee, Vipin Kumar:
Contextual Time Series Change Detection. SDM 2013: 503-511 - 2012
- [c6]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 - [c5]Jaya Kawale, Snigdhansu Chatterjee, Dominick Ormsby, Karsten Steinhaeuser, Stefan Liess, Vipin Kumar:
Testing the significance of spatio-temporal teleconnection patterns. KDD 2012: 642-650 - [c4]Soumyadeep Chatterjee, Karsten Steinhaeuser, Arindam Banerjee, Snigdhansu Chatterjee, Auroop R. Ganguly:
Sparse Group Lasso: Consistency and Climate Applications. SDM 2012: 47-58 - 2011
- [j6]Nitai D. Mukhopadhyay, Snigdhansu Chatterjee:
High dimensional data analysis using multivariate generalized spatial quantiles. J. Multivar. Anal. 102(4): 768-780 (2011) - [c3]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 - [c2]Soumyadeep Chatterjee, Arindam Banerjee, Snigdhansu Chatterjee, Auroop R. Ganguly:
Sparse Group Lasso for Regression on Land Climate Variables. ICDM Workshops 2011: 1-8 - [c1]Amrudin Agovic, Arindam Banerjee, Snigdhansu Chatterjee:
Probabilistic Matrix Addition. ICML 2011: 1025-1032
2000 – 2009
- 2008
- [j5]Nitai D. Mukhopadhyay, Snigdhansu Chatterjee:
Reply to "Comment on causality and pathway search in microarray time series experiment". Bioinform. 24(7): 1033 (2008) - [j4]Snigdhansu Chatterjee:
Structural Equation Modeling, A Bayesian Approach. Technometrics 50(3): 411-412 (2008) - 2007
- [j3]Nitai D. Mukhopadhyay, Snigdhansu Chatterjee:
Causality and pathway search in microarray time series experiment. Bioinform. 23(4): 442-449 (2007) - 2005
- [j2]Snigdhansu Chatterjee:
Procrustes Problems. Technometrics 47(3): 376 (2005) - 2004
- [j1]Snigdhansu Chatterjee:
Order Statistics. Technometrics 46(3): 364-365 (2004)
Coauthor Index
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