Ahmed Abdulaal

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 12

Top Topics

Temporal Dimension

Multivariate Time Series

Prognostic Models

Top Venues

BMC Medical Informatics Decis. Mak.

Publications

Ahmed Abdulaal, Adamos Hadjivasiliou, Nina Montaña Brown, Tiantian He, Ayodeji Ijishakin, Ivana Drobnjak, Daniel C. Castro, Daniel C. Alexander
Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning. ICLR (2024)
Ahmed Abdulaal, Ali Polat, Hari Narayan, Wenrong Zeng, Yimin Yi
Dynamic Pricing for Multi-Retailer Delivery Platforms with Additive Deep Learning and Evolutionary Optimization. KDD (2024)
Ayodeji Ijishakin, Adamos Hadjivasiliou, Ahmed Abdulaal, Nina Montaña Brown, Florence Townend, Edoardo Gioele Spinelli, Massimo Fillipi, Federica Agosta, James Cole, Andrea Malaspina
Normative Diffusion Autoencoders: Application to Amyotrophic Lateral Sclerosis. CoRR (2024)
Nina Montaña Brown, Shaheer U. Saeed, Ahmed Abdulaal, Thomas Dowrick, Yakup Kilic, Sophie Wilkinson, Jack Gao, Meghavi Mashar, Chloe He, Alkisti Stavropoulou, Emma Thomson, Zachary M. C. Baum, Simone Foti, Brian R. Davidson, Yipeng Hu, Matthew J. Clarkson
SARAMIS: Simulation Assets for Robotic Assisted and Minimally Invasive Surgery. NeurIPS (2023)
Tiantian He, Elinor Thompson, Anna Schroder, Neil P. Oxtoby, Ahmed Abdulaal, Frederik Barkhof, Daniel C. Alexander
A coupled-mechanisms modelling framework for neurodegeneration. CoRR (2023)
Ayodeji Ijishakin, Ahmed Abdulaal, Adamos Hadjivasiliou, Sophie Martin, James Cole
Interpretable Alzheimer's Disease Classification Via a Contrastive Diffusion Autoencoder. CoRR (2023)
Tiantian He, Elinor Thompson, Anna Schroder, Neil P. Oxtoby, Ahmed Abdulaal, Frederik Barkhof, Daniel C. Alexander
A Coupled-Mechanisms Modelling Framework for Neurodegeneration. MICCAI (8) (2023)
Ahmed Abdulaal, Zhuanghua Liu, Tomer Lancewicki
Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization. KDD (2021)
Ahmed Abdulaal, Tomer Lancewicki
Real-Time Synchronization in Neural Networks for Multivariate Time Series Anomaly Detection. ICASSP (2021)
Ahmed Al-Hindawi, Ahmed Abdulaal, Timothy M. Rawson, Saleh A. Alqahtani, Nabeela Mughal, Luke S. P. Moore
COVID-19 Prognostic Models: A Pro-con Debate for Machine Learning vs. Traditional Statistics. Frontiers Digit. Health 3 (2021)
Ahmed Abdulaal, Aatish Patel, Esmita Charani, Sarah Denny, Saleh A. Alqahtani, Gary W. Davies, Nabeela Mughal, Luke S. P. Moore
Comparison of deep learning with regression analysis in creating predictive models for SARS-CoV-2 outcomes. BMC Medical Informatics Decis. Mak. 20 (1) (2020)
Ahmed Abdulaal, Shihab Asfour
A Fuzzy Genetic Algorithm Classifier: The Impact of Time-Series Load Data Temporal Dimension on Classification Performance. ICMLA (2016)