Improving Image-Based Localization with Deep Learning: The Impact of the Loss Function. - Isaac Ronald Ward; M. A. Asim K. Jalwana; Mohammed Bennamoun (PSIVT Workshops, 2019)

Optical Flow Techniques for Facial Expression Analysis: Performance Evaluation and Improvements. - Benjamin Allaert; Isaac Ronald Ward; Ioan Marius Bilasco; Chaabane Djeraba; Mohammed Bennamoun (CoRR, 2019)

RGB-D image-based Object Detection: from Traditional Methods to Deep Learning Techniques. - Isaac Ronald Ward; Hamid Laga; Mohammed Bennamoun (CoRR, 2019)

A Practical Guide to Graph Neural Networks. - Isaac Ronald Ward; Jack Joyner; Casey Lickfold; Stash Rowe; Yulan Guo; Mohammed Bennamoun (CoRR, 2020)

Explainable artificial intelligence for pharmacovigilance: What features are important when predicting adverse outcomes? - Isaac Ronald Ward; Ling Wang 005; Juan Lu; Mohammed Bennamoun; Girish Dwivedi; Frank M. Sanfilippo (Comput. Methods Programs Biomed., 2021)

Improving Contrastive Learning on Visually Homogeneous Mars Rover Images. - Isaac Ronald Ward; Charles Moore; Kai Pak; Jingdao Chen; Edwin Goh (ECCV Workshops (1), 2022)

A comparative study on optical flow for facial expression analysis. - Benjamin Allaert; Isaac Ronald Ward; Ioan Marius Bilasco; Chabane Djeraba; Mohammed Bennamoun (Neurocomputing, 2022)

A Practical Tutorial on Graph Neural Networks. - Isaac Ronald Ward; Jack Joyner; Casey Lickfold; Yulan Guo; Mohammed Bennamoun (ACM Comput. Surv., 2022)

Reconstruction of Sea Surface Temperature under Clouds using Masked Autoencoders. - Edwin Goh; Alice Yepremyan; Isaac Ronald Ward; Jinbo Wang 002; Brian Wilson (IGARSS, 2023)

Optimal Control of Mechanical Ventilators with Learned Respiratory Dynamics. - Isaac Ronald Ward; Dylan M. Asmar; Mansur M. Arief; Jana Krystofova Mike; Mykel J. Kochenderfer (CBMS, 2024)