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Shantanu Jain
Shantanu Jain
Research Scientist, Khoury College of Computer Sciences, Northeastern University
Verified email at northeastern.edu
Title
Cited by
Cited by
Year
Estimating the class prior and posterior from noisy positives and unlabeled data
S Jain, M White, P Radivojac
Advances in Neural Information Processing Systems, 2693-2701, 2016
1382016
Recovering true classifier performance in positive-unlabeled learning
S Jain, M White, P Radivojac
Thirty-First AAAI Conference on Artificial Intelligence, 2066-2072, 2017
842017
Nonparametric semi-supervised learning of class proportions
S Jain, M White, MW Trosset, P Radivojac
arXiv preprint arXiv:1601.01944, 2016
702016
Fast Nonparametric Estimation of Class Proportions in the Positive-Unlabeled Classification Setting
D Zeiberg, S Jain, P Radivojac
Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
312020
Gpt-4o system card
A Hurst, A Lerer, AP Goucher, A Perelman, A Ramesh, A Clark, AJ Ostrow, ...
arXiv preprint arXiv:2410.21276, 2024
262024
The loss and gain of functional amino acid residues is a common mechanism causing human inherited disease
J Lugo-Martinez, V Pejaver, KA Pagel, S Jain, M Mort, DN Cooper, ...
PLoS Computational Biology 12 (8), e1005091, 2016
252016
Estimating classification accuracy in positive-unlabeled learning: characterization and correction strategies.
R Ramola, S Jain, P Radivojac
Pacific Symposium on Biocomputing, 124-135, 2019
192019
Class Prior Estimation with Biased Positives and Unlabeled Examples
S Jain, DJ Delano, H Sharma, P Radivojac
Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
182020
New mixture models for decoy-free false discovery rate estimation in mass spectrometry proteomics
Y Peng, S Jain, YF Li, M Greguš, AR Ivanov, O Vitek, P Radivojac
Bioinformatics 36 (Supplement_2), i745-i753, 2020
112020
Using Association Rules to Understand the Risk of Adverse Pregnancy Outcomes in a Diverse Population
H Chu, R Ramola, S Jain, DM Haas, S Natarajan, P Radivojac
PACIFIC SYMPOSIUM ON BIOCOMPUTING 2023: Kohala Coast, Hawaii, USA, 3–7 …, 2022
62022
CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods
S Jain, C Bakolitsa, SE Brenner, P Radivojac, J Moult, S Repo, ...
Genome Biology 25 (1), 2024
52024
An approach to identifying and quantifying bias in biomedical data
MC De Paolis Kaluza, S Jain, P Radivojac
PACIFIC SYMPOSIUM ON BIOCOMPUTING 2023: Kohala Coast, Hawaii, USA, 3–7 …, 2022
42022
Identifiability of two‐component skew normal mixtures with one known component
S Jain, M Levine, P Radivojac, MW Trosset
Scandinavian Journal of Statistics, 2019
32019
CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods
Genome Interpretation Consortium
arXiv e-prints, arXiv: 2205.05897, 2022
22022
Multi-objective prioritization of genes for high-throughput functional assays towards improved clinical variant classification
Y Chen, S Jain, D Zeiberg, LM Iakoucheva, SD Mooney, P Radivojac, ...
PACIFIC SYMPOSIUM ON BIOCOMPUTING 2023: Kohala Coast, Hawaii, USA, 3–7 …, 2022
22022
February 2017
S Jain, M White, P Radivojac
Recovering true classifier performance in positive-unlabeled learning In …, 2017
22017
Evaluation of enzyme activity predictions for variants of unknown significance in Arylsulfatase A
S Jain, M Trinidad, TB Nguyen, K Jones, SD Neto, F Ge, A Glagovsky, ...
bioRxiv, 2024
12024
Leveraging structure for improved classification of grouped biased data
D Zeiberg, S Jain, P Radivojac
Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 11113 …, 2023
12023
Algorithms and Approaches for Positive-Unlabeled Learning
S Jain
Indiana University, 2018
12018
Evaluating predictors of kinase activity of STK11 variants identified in primary human non-small cell lung cancers
Y Chen, K Lee, J Woo, D Kim, C Keum, G Babbi, R Casadio, PL Martelli, ...
Research Square, rs. 3. rs-4587317, 2024
2024
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