42 citations · 62 across the 7 of their papers we have counts for
9 papers
MVC: A Multi-Task Vision Transformer Network for COVID-19 Diagnosis from Chest X-ray Images
Huyen Tran, Duc Thanh Nguyen, John Yearwood
Medical image analysis using computer-based algorithms has attracted considerable attention from the research community and achieved tremendous progress in the last decade. With re…
Double Attention-based Lightweight Network for Plant Pest Recognition
Sivasubramaniam Janarthan, Selvarajah Thuseethan, Sutharshan Rajasegarar +1
Timely recognition of plant pests from field images is significant to avoid potential losses of crop yields. Traditional convolutional neural network-based deep learning models dem…
Learning post-processing for QRS detection using Recurrent Neural Network
Ahsan Habib, Chandan Karmakar, John Yearwood
Deep-learning based QRS-detection algorithms often require essential post-processing to refine the prediction streams for R-peak localisation. The post-processing performs signal-p…
Knowledge engineering mixed-integer linear programming: constraint typology
Vicky Mak-Hau, John Yearwood, William Moran
In this paper, we investigate the constraint typology of mixed-integer linear programming MILP formulations. MILP is a commonly used mathematical programming technique for modellin…
A Knowledge Representation Approach to Automated Mathematical Modelling
Bahadorreza Ofoghi, Vicky Mak, John Yearwood
In this paper, we propose a new mixed-integer linear programming (MILP) model ontology and a novel constraint typology of MILP formulations. MILP is a commonly used mathematical pr…
Choosing a sampling frequency for ECG QRS detection using convolutional networks
Ahsan Habib, Chandan Karmakar, John Yearwood
Automated QRS detection methods depend on the ECG data which is sampled at a certain frequency, irrespective of filter-based traditional methods or convolutional network (CNN) base…
A mixed-integer linear programming approach for soft graph clustering
Vicky Mak-Hau, John Yearwood
This paper proposes a Mixed-Integer Linear Programming approach for the Soft Graph Clustering Problem. This is the first method that simultaneously allocates membership proportion…
Robust artificial neural networks and outlier detection. Technical report
Gleb Beliakov, Andrei Kelarev, John Yearwood
Large outliers break down linear and nonlinear regression models. Robust regression methods allow one to filter out the outliers when building a model. By replacing the traditional…
A novel canonical dual computational approach for prion AGAAAAGA amyloid fibril molecular modeling
Jiapu Zhang, David Y. Gao, Johh Yearwood
Many experimental studies have shown that the prion AGAAAAGA palindrome hydrophobic region (113-120) has amyloid fibril forming properties and plays an important role in prion dise…