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Joseph Early
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Non-markovian reward modelling from trajectory labels via interpretable multiple instance learning
J Early, T Bewley, C Evers, S Ramchurn
Advances in Neural Information Processing Systems 35, 27652-27663, 2022
112022
Model Agnostic Interpretability for Multiple Instance Learning
J Early, C Evers, S Ramchurn
International Conference on Learning Representations, 2022
52022
Non-Asimov Explanations Regulating AI through Transparency
C Reed, K Grieman, J Early
arXiv preprint arXiv:2111.13041, 2021
32021
Reducing Catastrophic Forgetting when Evolving Neural Networks
J Early
arXiv preprint arXiv:1904.03178, 2019
32019
Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations
G Everett, RJ Beal, T Matthews, J Early, TJ Norman, SD Ramchurn
arXiv preprint arXiv:2302.06569, 2023
22023
Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover Classification
J Early, YJ Deweese, C Evers, S Ramchurn
arXiv preprint arXiv:2211.08247, 2022
22022
Inherently Interpretable Time Series Classification via Multiple Instance Learning
J Early, GKC Cheung, K Cutajar, H Xie, J Kandola, N Twomey
arXiv preprint arXiv:2311.10049, 2023
12023
Predicting response to neoadjuvant therapy using image capture from diagnostic biopsies of oesophageal adenocarcinoma
S Rahman, J Early, M De Vries, M Lloyd, B Grace, G Ramchurn, ...
European Journal of Surgical Oncology 47 (1), e4, 2020
12020
Extending scene-to-patch models: Multi-resolution multiple instance learning for Earth observation
J Early, YJC Deweese, C Evers, S Ramchurn
Environmental Data Science 2, e42, 2023
2023
A Risk-Based Approach to AI Regulation: System Categorisation and Explainable AI Practices
K Grieman, J Early
SCRIPTed 20, 56, 2023
2023
Revisiting Deep Fisher Vectors: Using Fisher Information to Improve Object Classification
S Ahmed, T Azim, J Early, SD Ramchurn
2022
Predicting survival and response to therapy using diagnostic biopsies: A machine learning approach to facilitate treatment decisions for oesophageal adenocarcinoma
S Rahman, J Early, B Sharpe, M Lloyd, MD Vries, B Grace, S Ramchurn, ...
British Journal of Surgery 108 (Supplement_9), znab430. 185, 2021
2021
Digital Pathology and Machine Learning for Prediction of Response to Neoadjuvant Chemotherapy in Oesophageal Adenocarcinoma
B Sharpe, S Rahman, J Early, G Vigneswaran, J Horne, B Grace, J West, ...
Journal of Pathology 255, S35-S35, 2021
2021
Neural network image capture to predict response of oesophageal adenocarcinoma to neoadjuvant therapy
S Rahman, J Early, B Sharpe, M Lloyd, B Grace, M De Vries, S Ramchurn, ...
British Journal of Surgery 108 (Supplement_5), 2021
2021
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