Center Problem for Third-Order ODEs. - Adam Mahdi (Int. J. Bifurc. Chaos, 2013)

Center conditions and cyclicity for a family of cubic systems: Computer algebra approach. - Brigita Fercec; Adam Mahdi (Math. Comput. Simul., 2013)

Modeling the Afferent Dynamics of the Baroreflex Control System. - Adam Mahdi; Jacob Sturdy; Johnny T. Ottesen; Mette S. Olufsen (PLoS Comput. Biol., 2013)

An ensemble Kalman filter for statistical estimation of physics constrained nonlinear regression models. - John Harlim; Adam Mahdi; Andrew J. Majda (J. Comput. Phys., 2014)

Structural identifiability of battery equivalent circuit models. - Seyed Mohammad Mahdi Alavi; Adam Mahdi; Stephen J. Payne; David A. Howey (CoRR, 2015)

Comparing Feature Based Classifiers and Convolutional Neural Networks to Detect Arrhythmia from Short Segments of ECG. - Fernando Andreotti; Oliver Carr; Marco A. F. Pimentel; Adam Mahdi; Maarten De Vos (CinC, 2017)

A hybrid symbolic-numerical approach to the center-focus problem. - Adam Mahdi; Claudio Gomes Pessoa; Jonathan D. Hauenstein (J. Symb. Comput., 2017)

Conservation Laws in Biochemical Reaction Networks. - Adam Mahdi; Antoni Ferragut; Cláudia Valls; Carsten Wiuf (SIAM J. Appl. Dyn. Syst., 2017)

Identifiability of Generalized Randles Circuit Models. - Seyed Mohammad Mahdi Alavi; Adam Mahdi; Stephen J. Payne; David A. Howey (IEEE Trans. Control. Syst. Technol., 2017)

Visualisation of long-term ECG signals applied to post-intensive care patients. - Delaram Jarchi; Adam Mahdi; Lionel Tarassenko; David A. Clifton (BSN, 2018)

Estimation of HRV and SpO2 from wrist-worn commercial sensors for clinical settings. - Delaram Jarchi; Dario Salvi; Carmelo Velardo; Adam Mahdi; Lionel Tarassenko; David A. Clifton (BSN, 2018)

Bayesian Inference in Non-Markovian State-Space Models With Applications to Battery Fractional-Order Systems. - Pierre E. Jacob; Seyed Mohammad Mahdi Alavi; Adam Mahdi; Stephen J. Payne; David A. Howey (IEEE Trans. Control. Syst. Technol., 2018)

Uncertainty-Aware Model for Reliable Prediction of Sepsis in the ICU. - Marco A. F. Pimentel; Adam Mahdi; Oliver Redfern; Mauro D. Santos; Lionel Tarassenko (CinC, 2019)

Deep Learning Classification of Cardiomegaly Using Combined Imaging and Non-imaging ICU Data. - Declan Grant; Bartlomiej W. Papiez; Guy Parsons; Lionel Tarassenko; Adam Mahdi (MIUA, 2021)

Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection. - Benjamin Walker 001; Felix Krones; Ivan Kiskin; Guy Parsons; Terence Lyons; Adam Mahdi (CinC, 2022)

Multimodal Cardiomegaly Classification with Image-Derived Digital Biomarkers. - Benjamin Duvieusart; Felix Krones; Guy Parsons; Lionel Tarassenko; Bartlomiej W. Papiez; Adam Mahdi (MIUA, 2022)

Multimodal Deep Learning Approach to Predicting Neurological Recovery From Coma After Cardiac Arrest. - Felix Krones; Benjamin Walker 001; Guy Parsons; Terry J. Lyons; Adam Mahdi (CinC, 2023)

LT-ViT: A Vision Transformer for Multi-Label Chest X-Ray Classification. - Umar Marikkar; Sara Atito 001; Muhammad Awais 001; Adam Mahdi (ICIP, 2023)

Dual Bayesian ResNet: A Deep Learning Approach to Heart Murmur Detection. - Benjamin Walker 001; Felix Krones; Ivan Kiskin; Guy Parsons; Terry J. Lyons; Adam Mahdi (CoRR, 2023)

Exploring the Landscape of Large Language Models In Medical Question Answering: Observations and Open Questions. - Karolina Korgul; Andrew M. Bean; Felix Krones; Robert McCraith; Adam Mahdi (CoRR, 2023)

Identifiability Analysis and Noninvasive Online Estimation of the First-Order Neural Activation Dynamics in the Brain With Closed-Loop Transcranial Magnetic Stimulation. - Seyed Mohammad Mahdi Alavi; Adam Mahdi; Fidel Vila-Rodriguez; Stefan M. Goetz (IEEE Trans. Biomed. Eng., 2023)

Unsupervised Learning Approaches for Identifying ICU Patient Subgroups: Do Results Generalise? - Harry Mayne; Guy Parsons; Adam Mahdi (CoRR, 2024)

Multimodal deep learning approach to predicting neurological recovery from coma after cardiac arrest. - Felix H. Krones; Ben Walker; Guy Parsons; Terry J. Lyons; Adam Mahdi (CoRR, 2024)

Feasibility of machine learning-based rice yield prediction in India at the district level using climate reanalysis data. - Djavan De Clercq; Adam Mahdi (CoRR, 2024)

Fine-tuning Large Language Models with Human-inspired Learning Strategies in Medical Question Answering. - Yushi Yang; Andrew M. Bean; Robert McCraith; Adam Mahdi (CoRR, 2024)

Combining Hough Transform and Deep Learning Approaches to Reconstruct ECG Signals From Printouts. - Felix Krones; Ben Walker; Terry J. Lyons; Adam Mahdi (CoRR, 2024)

Improving In-Context Learning with Small Language Model Ensembles. - M. Mehdi Mojarradi; Lingyi Yang; Robert McCraith; Adam Mahdi (CoRR, 2024)

Ablation is Not Enough to Emulate DPO: How Neuron Dynamics Drive Toxicity Reduction. - Yushi Yang; Filip Sondej; Harry Mayne; Adam Mahdi (CoRR, 2024)

Can sparse autoencoders be used to decompose and interpret steering vectors? - Harry Mayne; Yushi Yang; Adam Mahdi (CoRR, 2024)

Evaluating the role of 'Constitutions' for learning from AI feedback. - Saskia Redgate; Andrew M. Bean; Adam Mahdi (CoRR, 2024)

Large language models can help boost food production, but be mindful of their risks. - Djavan De Clercq; Elias Nehring; Harry Mayne; Adam Mahdi (Frontiers Artif. Intell., 2024)

Modern computational approaches for rice yield prediction: A systematic review of statistical and machine learning-based methods. - Djavan De Clercq; Adam Mahdi (Comput. Electron. Agric., 2025)

Review of multimodal machine learning approaches in healthcare. - Felix Krones; Umar Marikkar; Guy Parsons; Adam Szmul; Adam Mahdi (Inf. Fusion, 2025)

A systematic review on patient and public attitudes toward health monitoring technologies across countries. - Tiantian Chen; Ekaterina Hertog; Adam Mahdi; Samantha Vanderslott (npj Digit. Medicine, 2025)

LINGOLY-TOO: Disentangling Memorisation from Reasoning with Linguistic Templatisation and Orthographic Obfuscation. - Jude Khouja; Karolina Korgul; Simi Hellsten; Lingyi Yang; Vlad Neacsu; Harry Mayne; Ryan Kearns; Andrew M. Bean; Adam Mahdi (CoRR, 2025)

Clinical knowledge in LLMs does not translate to human interactions. - Andrew M. Bean; Rebecca Payne; Guy Parsons; Hannah Rose Kirk; Juan Ciro; Rafael Mosquera; Sara Hincapié Monsalve; Aruna S. Ekanayaka; Lionel Tarassenko; Luc Rocher; Adam Mahdi (CoRR, 2025)