Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research Interest Keywords
- Statistics
- Machine Learning and Data Science
- Artificial intelligence
- Probability Theory
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The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Chatterjee: Collaborative Research: C1: Learning the Universal Free Energy Function
THE NATIONAL SCIENCE FOUNDATION
3/15/20 → 2/29/24
Project: Research project
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Chatterjee: Collaborative Research: C3: Machine Learning methods for multi-disciplinary multi-scales problems
THE NATIONAL SCIENCE FOUNDATION
1/1/20 → 12/31/23
Project: Research project
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ATD:Collaborative Research: Multivariate quantiles for r
THE NATIONAL SCIENCE FOUNDATION
9/1/17 → 8/31/21
Project: Research project
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On conditional statistical procedures for simultaneous m
Chatterjee, A. & St. George, S.
THE NATIONAL SCIENCE FOUNDATION
9/1/16 → 8/31/20
Project: Research project
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A Bayesian framework for studying climate anomalies and social conflicts
Mukherjee, U. K., Bagozzi, B. E. & Chatterjee, S., Mar 2023, In: Environmetrics. 34, 2, e2778.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Simultaneous selection of multiple important single nucleotide polymorphisms in familial genome wide association studies data
Majumdar, S., Basu, S., McGue, M. & Chatterjee, S., Dec 2023, In: Scientific reports. 13, 1, 8476.Research output: Contribution to journal › Article › peer-review
Open Access -
Feature Selection using e-values
Majumdar, S. & Chatterjee, S., 2022, In: Proceedings of Machine Learning Research. 162, p. 14753-14773 21 p.Research output: Contribution to journal › Conference article › peer-review
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Machine Learning Methods for Multiscale Physics and Urban Engineering Problems
Sharma, S., Thompson, M., Laefer, D., Lawler, M., McIlhany, K., Pauluis, O., Trinkle, D. R. & Chatterjee, S., Aug 2022, In: Entropy. 24, 8, 1134.Research output: Contribution to journal › Article › peer-review
Open Access -
On weighted multivariate sign functions
Majumdar, S. & Chatterjee, S., Sep 2022, In: Journal of Multivariate Analysis. 191, 105013.Research output: Contribution to journal › Article › peer-review
Open Access