Snigdhansu Chatterjee

35 papers A* 6A 4C 1Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Profile Least Squares Estimation in Networks With Covariates. IEEE Trans. Netw. Sci. Eng. Swati Chandna, Benjamin E. Bagozzi, Snigdhansu Chatterjee
2023	A	`conf`	Probabilistic Inverse Modeling: An Application in Hydrology. SDM Somya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar
2023	J	`jnl`	Uncertainty Quantification in Inverse Models in Hydrology. CoRR Somya Sharma Chatterjee, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar
2022	J	`jnl`	Feature Selection using e-values. CoRR Subhabrata Majumdar, Snigdhansu Chatterjee
2022	A*	`conf`	Feature selection using e-values. ICML Subhabrata Majumdar, Snigdhansu Chatterjee
2022	J	`jnl`	Machine Learning Methods for Multiscale Physics and Urban Engineering Problems. Entropy Somya Sharma, Marten Thompson, Debra F. Laefer, Michael Lawler, Kevin L. McIlhany, Olivier Pauluis, Dallas R. Trinkle, Snigdhansu Chatterjee
2022	J	`jnl`	On weighted multivariate sign functions. J. Multivar. Anal. Subhabrata Majumdar, Snigdhansu Chatterjee
2022	J	`jnl`	Probabilistic Inverse Modeling: An Application in Hydrology. CoRR Somya Sharma, Rahul Ghosh, Arvind Renganathan, Xiang Li, Snigdhansu Chatterjee, John Nieber, Christopher J. Duffy, Vipin Kumar
2021	J	`jnl`	Approximate Bayesian Computation for Physical Inverse Modeling. CoRR Neel Chatterjee, Somya Sharma, Sarah L. Swisher, Snigdhansu Chatterjee
2021	J	`jnl`	Generalized Multivariate Signs for Nonparametric Hypothesis Testing in High Dimensions. CoRR Subhabrata Majumdar, Snigdhansu Chatterjee
2021	J	`jnl`	Winsorization for Robust Bayesian Neural Networks. Entropy Somya Sharma, Snigdhansu Chatterjee
2020	J	`jnl`	Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks. IEEE Trans. Knowl. Data Eng. Saurabh Agrawal, Michael S. Steinbach, Daniel Boley, Snigdhansu Chatterjee, Gowtham Atluri, Anh The Dang, Stefan Liess, Vipin Kumar
2020	J	`jnl`	Semiparametric modeling of time-varying activation and connectivity in task-based fMRI data. Comput. Stat. Data Anal. Jun Young Park, Jörg Polzehl, Snigdhansu Chatterjee, André Brechmann, Mark Fiecas
2019	J	`jnl`	A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series. CoRR Saurabh Agrawal, Saurabh Verma, Anuj Karpatne, Stefan Liess, Snigdhansu Chatterjee, Vipin Kumar
2018	J	`jnl`	Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks. CoRR Saurabh Agrawal, Michael S. Steinbach, Daniel Boley, Snigdhansu Chatterjee, Gowtham Atluri, Anh The Dang, Stefan Liess, Vipin Kumar
2018	J	`jnl`	Mining Sub-Interval Relationships In Time Series Data. CoRR Saurabh Agrawal, Saurabh Verma, Gowtham Atluri, Anuj Karpatne, Stefan Liess, Angus W. MacDonald III, Snigdhansu Chatterjee, Vipin Kumar
2017	A*	`conf`	Tripoles: A New Class of Relationships in Time Series Data. KDD Saurabh Agrawal, Gowtham Atluri, Anuj Karpatne, William Haltom, Stefan Liess, Snigdhansu Chatterjee, Vipin Kumar
2016	A	`conf`	A general framework to increase the robustness of model-based change point detection algorithms to outliers and noise. SDM Xi C. Chen, Yuanshun Yao, Sichao Shi, Snigdhansu Chatterjee, Vipin Kumar, James H. Faghmous
2015	A*	`conf`	Fast and Robust Supervised Learning in High Dimensions Using the Geometry of the Data. ICDM Ujjal Kumar Mukherjee, Subhabrata Majumdar, Snigdhansu Chatterjee
2014	—	`conf`	Fast algorithm for computing weighted projection quantiles and data depth for high-dimensional large data clouds. IEEE BigData Ujjal Kumar Mukherjee, Snigdhansu Chatterjee
2013	A*	`conf`	A Parameter-Free Spatio-Temporal Pattern Mining Model to Catalog Global Ocean Dynamics. ICDM James H. Faghmous, Matthew Le, Muhammed Uluyol, Vipin Kumar, Snigdhansu Chatterjee
2013	—	`ch.`	Computational Data Sciences for Actionable Insights on Climate Extremes and Uncertainty. Computational Intelligent Data Analysis for Sustainable Development Auroop R. Ganguly, Evan Kodra, Snigdhansu Chatterjee, Arindam Banerjee, Habib N. Najm
2013	A	`conf`	Contextual Time Series Change Detection. SDM Xi C. Chen, Karsten Steinhaeuser, Shyam Boriah, Snigdhansu Chatterjee, Vipin Kumar
2012	A	`conf`	Sparse Group Lasso: Consistency and Climate Applications. SDM Soumyadeep Chatterjee, Karsten Steinhaeuser, Arindam Banerjee, Snigdhansu Chatterjee, Auroop R. Ganguly
2012	C	`conf`	Spatially penalized regression for dependence analysis of rare events: A study in precipitation extremes. IGARSS Debasish Das, Auroop R. Ganguly, Snigdhansu Chatterjee, Vipin Kumar, Zoran Obradovic
2012	A*	`conf`	Testing the significance of spatio-temporal teleconnection patterns. KDD Jaya Kawale, Snigdhansu Chatterjee, Dominick Ormsby, Karsten Steinhaeuser, Stefan Liess, Vipin Kumar
2011	—	`conf`	Anomaly Construction in Climate Data: Issues and Challenges. CIDU Jaya Kawale, Snigdhansu Chatterjee, Arjun Kumar, Stefan Liess, Michael S. Steinbach, Vipin Kumar
2011	J	`jnl`	High dimensional data analysis using multivariate generalized spatial quantiles. J. Multivar. Anal. Nitai D. Mukhopadhyay, Snigdhansu Chatterjee
2011	A*	`conf`	Probabilistic Matrix Addition. ICML Amrudin Agovic, Arindam Banerjee, Snigdhansu Chatterjee
2011	—	`conf`	Sparse Group Lasso for Regression on Land Climate Variables. ICDM Workshops Soumyadeep Chatterjee, Arindam Banerjee, Snigdhansu Chatterjee, Auroop R. Ganguly
2008	J	`jnl`	Reply to "Comment on causality and pathway search in microarray time series experiment". Bioinform. Nitai D. Mukhopadhyay, Snigdhansu Chatterjee
2008	J	`jnl`	Structural Equation Modeling, A Bayesian Approach. Technometrics Snigdhansu Chatterjee
2007	J	`jnl`	Causality and pathway search in microarray time series experiment. Bioinform. Nitai D. Mukhopadhyay, Snigdhansu Chatterjee
2005	J	`jnl`	Procrustes Problems. Technometrics Snigdhansu Chatterjee
2004	J	`jnl`	Order Statistics. Technometrics Snigdhansu Chatterjee