5 papers
Uncertainty Estimation in SARS-CoV-2 B-cell Epitope Prediction for Vaccine Development
Bhargab Ghoshal, Biraja Ghoshal, Stephen Swift +1
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 immuni…
Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection
Biraja Ghoshal, Allan Tucker
Deep Learning has achieved state of the art performance in medical imaging. However, these methods for disease detection focus exclusively on improving the accuracy of classificati…
The Prevalence of Errors in Machine Learning Experiments
Martin Shepperd, Yuchen Guo, Ning Li +7
Context: Conducting experiments is central to research machine learning research to benchmark, evaluate and compare learning algorithms. Consequently it is important we conduct rel…
Specimens as research objects: reconciliation across distributed repositories to enable metadata propagation
Nicky Nicolson, Alan Paton, Sarah Phillips +1
Botanical specimens are shared as long-term consultable research objects in a global network of specimen repositories. Multiple specimens are generated from a shared field collecti…
Learning Bayesian Networks from Big Data with Greedy Search: Computational Complexity and Efficient Implementation
Marco Scutari, Claudia Vitolo, Allan Tucker
Learning the structure of Bayesian networks from data is known to be a computationally challenging, NP-hard problem. The literature has long investigated how to perform structure l…