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2020 – today
- 2024
[c7]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- [c6]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: 4741-4751 - [i6]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 abs/2407.14191 (2024) - [i5]Ayodeji Ijishakin, Ana Lawry Aguila, Elizabeth Levitis, Ahmed Abdulaal, André Altmann, James Cole:
Disentangled Diffusion Autoencoder for Harmonization of Multi-site Neuroimaging Data. CoRR abs/2408.15890 (2024) - [i4]Ahmed Abdulaal, Hugo Fry, Nina Montaña Brown, Ayodeji Ijishakin, Jack Gao, Stephanie L. Hyland, Daniel C. Alexander, Daniel C. Castro:
An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation. CoRR abs/2410.03334 (2024) - [i3]Aryo Pradipta Gema, Chen Jin, Ahmed Abdulaal, Tom Diethe, Philip Teare, Beatrice Alex, Pasquale Minervini, Amrutha Saseendran:
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations. CoRR abs/2410.18860 (2024) - 2023
- [c5]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: 459-469 - [c4]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 - [i2]Ayodeji Ijishakin, Ahmed Abdulaal, Adamos Hadjivasiliou, Sophie Martin, James Cole:
Interpretable Alzheimer's Disease Classification Via a Contrastive Diffusion Autoencoder. CoRR abs/2306.03022 (2023) - [i1]Tiantian He, Elinor Thompson, Anna Schroder, Neil P. Oxtoby, Ahmed Abdulaal, Frederik Barkhof, Daniel C. Alexander:
A coupled-mechanisms modelling framework for neurodegeneration. CoRR abs/2308.05536 (2023) - 2021
- [j2]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: 637944 (2021) - [c3]Ahmed Abdulaal, Tomer Lancewicki:
Real-Time Synchronization in Neural Networks for Multivariate Time Series Anomaly Detection. ICASSP 2021: 3570-3574 - [c2]Ahmed Abdulaal, Zhuanghua Liu, Tomer Lancewicki:
Practical Approach to Asynchronous Multivariate Time Series Anomaly Detection and Localization. KDD 2021: 2485-2494 - 2020
- [j1]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): 299 (2020)
2010 – 2019
- 2016
- [c1]Ahmed Abdulaal, Shihab S. Asfour:
A Fuzzy Genetic Algorithm Classifier: The Impact of Time-Series Load Data Temporal Dimension on Classification Performance. ICMLA 2016: 1050-1054
Coauthor Index
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