A Fuzzy Genetic Algorithm Classifier: The Impact of Time-Series Load Data Temporal Dimension on Classification Performance. - Ahmed Abdulaal; Shihab S. Asfour (ICMLA, 2016)

Comparison of deep learning with regression analysis in creating predictive models for SARS-CoV-2 outcomes. - Ahmed Abdulaal; Aatish Patel; Esmita Charani; Sarah Denny; Saleh A. Alqahtani; Gary W. Davies; Nabeela Mughal; Luke S. P. Moore (BMC Medical Informatics Decis. Mak., 2020)

Real-Time Synchronization in Neural Networks for Multivariate Time Series Anomaly Detection. - Ahmed Abdulaal; Tomer Lancewicki (ICASSP, 2021)

Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization. - Ahmed Abdulaal; Zhuanghua Liu; Tomer Lancewicki (KDD, 2021)

COVID-19 Prognostic Models: A Pro-con Debate for Machine Learning vs. Traditional Statistics. - Ahmed Al-Hindawi; Ahmed Abdulaal; Timothy M. Rawson; Saleh A. Alqahtani; Nabeela Mughal; Luke S. P. Moore (Frontiers Digit. Health, 2021)

A Coupled-Mechanisms Modelling Framework for Neurodegeneration. - Tiantian He 002; Elinor Thompson; Anna Schroder; Neil P. Oxtoby; Ahmed Abdulaal; Frederik Barkhof; Daniel C. Alexander (MICCAI (8), 2023)

SARAMIS: Simulation Assets for Robotic Assisted and Minimally Invasive Surgery. - Nina Montaña Brown; Shaheer U. Saeed; Ahmed Abdulaal; Thomas Dowrick; Yakup Kilic; Sophie Wilkinson; Jack Gao; Meghavi Mashar; Chloe He 002; Alkisti Stavropoulou; Emma Thomson; Zachary M. C. Baum; et al. (NeurIPS, 2023)

Interpretable Alzheimer's Disease Classification Via a Contrastive Diffusion Autoencoder. - Ayodeji Ijishakin; Ahmed Abdulaal; Adamos Hadjivasiliou; Sophie Martin; James Cole (CoRR, 2023)

Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning. - Ahmed Abdulaal; Adamos Hadjivasiliou; Nina Montaña Brown; Tiantian He 002; Ayodeji Ijishakin; Ivana Drobnjak; Daniel C. Castro; Daniel C. Alexander (ICLR, 2024)

Dynamic Pricing for Multi-Retailer Delivery Platforms with Additive Deep Learning and Evolutionary Optimization. - Ahmed Abdulaal; Ali Polat; Hari Narayan; Wenrong Zeng; Yimin Yi (KDD, 2024)

Normative Diffusion Autoencoders: Application to Amyotrophic Lateral Sclerosis. - Ayodeji Ijishakin; Adamos Hadjivasiliou; Ahmed Abdulaal; Nina Montaña Brown; Florence Townend; Edoardo Gioele Spinelli; Massimo Fillipi; Federica Agosta; James Cole; Andrea Malaspina (CoRR, 2024)

Disentangled Diffusion Autoencoder for Harmonization of Multi-site Neuroimaging Data. - Ayodeji Ijishakin; Ana Lawry Aguila; Elizabeth Levitis; Ahmed Abdulaal; André Altmann; James Cole (CoRR, 2024)

An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation. - Ahmed Abdulaal; Hugo Fry; Nina Montaña Brown; Ayodeji Ijishakin; Jack Gao; Stephanie L. Hyland; Daniel C. Alexander; Daniel C. Castro (CoRR, 2024)

DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations. - Aryo Pradipta Gema; Chen Jin; Ahmed Abdulaal; Tom Diethe; Philip Teare; Beatrice Alex; Pasquale Minervini; Amrutha Saseendran (CoRR, 2024)

Balancing Act: Diversity and Consistency in Large Language Model Ensembles. - Ahmed Abdulaal; Chen Jin; Nina Montaña Brown; Aryo Pradipta Gema; Daniel C. Castro; Daniel C. Alexander; Philip Alexander Teare; Tom Diethe; Dino Oglic; Amrutha Saseendran (ICLR, 2025)