Search Results for author: Allan Tucker

Found 5 papers, 0 papers with code

Leveraging Uncertainty in Deep Learning for Pancreatic Adenocarcinoma Grading

no code implementations15 Jun 2022 Biraja Ghoshal, Bhargab Ghoshal, Allan Tucker

Pancreatic cancers have one of the worst prognoses compared to other cancers, as they are diagnosed when cancer has progressed towards its latter stages.

Uncertainty Quantification

On Calibrated Model Uncertainty in Deep Learning

no code implementations15 Jun 2022 Biraja Ghoshal, Allan Tucker

Estimated uncertainty by approximate posteriors in Bayesian neural networks are prone to miscalibration, which leads to overconfident predictions in critical tasks that have a clear asymmetric cost or significant losses.

Uncertainty Estimation in SARS-CoV-2 B-cell Epitope Prediction for Vaccine Development

no code implementations20 Mar 2021 Bhargab Ghoshal, Biraja Ghoshal, Stephen Swift, Allan Tucker

B-cell epitopes play a key role in stimulating B-cells, triggering the primary immune response which results in antibody production as well as the establishment of long-term immunity in the form of memory cells.

Bayesian Inference

The Prevalence of Errors in Machine Learning Experiments

no code implementations10 Sep 2019 Martin Shepperd, Yuchen Guo, Ning li, Mahir Arzoky, Andrea Capiluppi, Steve Counsell, Giuseppe Destefanis, Stephen Swift, Allan Tucker, Leila Yousefi

Objective: We investigate the incidence of errors in a sample of machine learning experiments in the domain of software defect prediction.

BIG-bench Machine Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.