Biraja Ghoshal

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 12

Top Topics

Binding Peptides

Weakly Supervised

Unsupervised Learning

Top Venues

Publications

Biraja Ghoshal, Allan Tucker
On Calibrated Model Uncertainty in Deep Learning. CoRR (2022)
Biraja Ghoshal, Bhargab Ghoshal, Allan Tucker
Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma Grading. CoRR (2022)
Biraja Ghoshal, Bhargab Ghoshal, Allan Tucker
Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma Grading. MIUA (2022)
Biraja Ghoshal, Allan Tucker
On Cost-Sensitive Calibrated Uncertainty in Deep Learning: An application on COVID-19 detection. CBMS (2021)
Biraja Ghoshal, Allan Tucker
Hyperspherical Weight Uncertainty in Neural Networks. IDA (2021)
Bhargab Ghoshal, Biraja Ghoshal, Stephen Swift, Allan Tucker
Uncertainty Estimation in SARS-CoV-2 B-cell Epitope Prediction for Vaccine Development. CoRR (2021)
Bhargab Ghoshal, Biraja Ghoshal, Stephen Swift, Allan Tucker
Uncertainty Estimation in SARS-CoV-2 B-Cell Epitope Prediction for Vaccine Development. AIME (2021)
Biraja Ghoshal, Stephen Swift, Allan Tucker
Bayesian Deep Active Learning for Medical Image Analysis. AIME (2021)
Biraja Ghoshal, Allan Tucker, Bal Sanghera, Wai Lup Wong
Estimating uncertainty in deep learning for reporting confidence to clinicians in medical image segmentation and diseases detection. Comput. Intell. 37 (2) (2021)
Biraja Ghoshal, Allan Tucker
Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection. CoRR (2020)
Biraja Ghoshal, Cecilia Lindskog, Allan Tucker
Estimating Uncertainty in Deep Learning for Reporting Confidence: An Application on Cell Type Prediction in Testes Based on Proteomics. IDA (2020)
Biraja Ghoshal, Allan Tucker, Bal Sanghera, Wai Lup Wong
Estimating Uncertainty in Deep Learning for Reporting Confidence to Clinicians when Segmenting Nuclei Image Data. CBMS (2019)