A Primer on the Signature Method in Machine Learning. - Ilya Chevyrev; Andrey Kormilitzin (CoRR, 2016)

Few-shot Learning for Named Entity Recognition in Medical Text. - Maximilian Hofer; Andrey Kormilitzin; Paul W. Goldberg; Alejo J. Nevado-Holgado (CoRR, 2018)

The Signature-Based Model for Early Detection of Sepsis From Electronic Health Records in the Intensive Care Unit. - James Morrill; Andrey Kormilitzin; Alejo J. Nevado-Holgado; Sumanth Swaminathan; Sam Howison; Terry J. Lyons (CinC, 2019)

Deep Learning for Estimating Synaptic Health of Primary Neuronal Cell Culture. - Andrey Kormilitzin; Xinyu Yang; William H. Stone; Caroline Woffindale; Francesca Nicholls; Elena Ribe; Alejo J. Nevado-Holgado; Noel J. Buckley (CoRR, 2019)

An efficient representation of chronological events in medical texts. - Andrey Kormilitzin; Nemanja Vaci; Qiang Liu 009; Hao Ni 001; Goran Nenadic; Alejo J. Nevado-Holgado (LOUHI@EMNLP, 2020)

Med7: a transferable clinical natural language processing model for electronic health records. - Andrey Kormilitzin; Nemanja Vaci; Qiang Liu 009; Alejo J. Nevado-Holgado (CoRR, 2020)

Population Gradients improve performance across data-sets and architectures in object classification. - Yurika Sakai; Andrey Kormilitzin; Qiang Liu 009; Alejo J. Nevado-Holgado (CoRR, 2020)

Maximizing the use of social and behavioural information from secondary care mental health electronic health records. - Sarah M. Goodday; Andrey Kormilitzin; Nemanja Vaci; Qiang Liu 009; Andrea Cipriani; Tanya Smith; Alejo J. Nevado-Holgado (J. Biomed. Informatics, 2020)

Named entity recognition in electronic health records using transfer learning bootstrapped Neural Networks. - Luka Gligic; Andrey Kormilitzin; Paul Goldberg 001; Alejo J. Nevado-Holgado (Neural Networks, 2020)

Med7: A transferable clinical natural language processing model for electronic health records. - Andrey Kormilitzin; Nemanja Vaci; Qiang Liu 003; Alejo J. Nevado-Holgado (Artif. Intell. Medicine, 2021)

Rationale production to support clinical decision-making. - Niall Taylor; Lei Sha; Dan W. Joyce; Thomas Lukasiewicz; Alejo J. Nevado-Holgado; Andrey Kormilitzin (CoRR, 2021)

Clinical Prompt Learning with Frozen Language Models. - Niall Taylor; Yi Zhang 120; Dan W. Joyce; Alejo J. Nevado-Holgado; Andrey Kormilitzin (CoRR, 2022)

Validation of UK Biobank data for mental health outcomes: A pilot study using secondary care electronic health records. - Zhenpeng Li; Andrey Kormilitzin; Marco Fernandes; Nemanja Vaci; Qiang Liu 003; Danielle Newby; Sarah M. Goodday; Tanya Smith; Alejo J. Nevado-Holgado; Laura Winchester (Int. J. Medical Informatics, 2022)

Explainable artificial intelligence for mental health through transparency and interpretability for understandability. - Dan W. Joyce; Andrey Kormilitzin; Katharine A. Smith; Andrea Cipriani (npj Digit. Medicine, 2023)

Harnessing the potential of machine learning and artificial intelligence for dementia research. - Janice M. Ranson; Magda Bucholc; Donald Lyall; Danielle Newby; Laura Winchester; Neil P. Oxtoby; Michele Veldsman; Timothy Rittman; Sarah J. Marzi; Nathan G. Skene; Ahmad Al Khleifat; Isabelle F. Foote; et al. (Brain Informatics, 2023)

Efficiency at scale: Investigating the performance of diminutive language models in clinical tasks. - Niall Taylor; Upamanyu Ghose; Omid Rohanian; Mohammadmahdi Nouriborji; Andrey Kormilitzin; David A. Clifton; Alejo J. Nevado-Holgado (Artif. Intell. Medicine, 2024)

Model development for bespoke large language models for digital triage assistance in mental health care. - Niall Taylor; Andrey Kormilitzin; Isabelle Lorge; Alejo J. Nevado-Holgado; Andrea Cipriani; Dan W. Joyce (Artif. Intell. Medicine, 2024)

Developing healthcare language model embedding spaces. - Niall Taylor; Dan Schofield; Andrey Kormilitzin; Dan W. Joyce; Alejo J. Nevado-Holgado (Artif. Intell. Medicine, 2024)

Bespoke Large Language Models for Digital Triage Assistance in Mental Health Care. - Niall Taylor; Andrey Kormilitzin; Isabelle Lorge; Alejo J. Nevado-Holgado; Dan W. Joyce (CoRR, 2024)

Large Language Models Perform on Par with Experts Identifying Mental Health Factors in Adolescent Online Forums. - Isabelle Lorge; Dan W. Joyce; Andrey Kormilitzin (CoRR, 2024)

Clinical Prompt Learning With Frozen Language Models. - Niall Taylor; Yi Zhang 120; Dan W. Joyce; Ziming Gao; Andrey Kormilitzin; Alejo J. Nevado-Holgado (IEEE Trans. Neural Networks Learn. Syst., 2024)

Detecting the clinical features of difficult-to-treat depression using synthetic data from large language models. - Isabelle Lorge; Dan W. Joyce; Niall Taylor; Alejo J. Nevado-Holgado; Andrea Cipriani; Andrey Kormilitzin (Comput. Biol. Medicine, 2025)

Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning. - Torben Berndt; Benjamin Walker 001; Tiexin Qin; Jan Stühmer; Andrey Kormilitzin (CoRR, 2025)