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Mr Joseph Early

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Email: j.a.early@soton.ac.uk

Publications
Publications

Publications

9 publications
Page 1 of 1
Inherently interpretable time series classification via multiple instance learning
Joseph Early,
Gavin K.C. Cheung,
Kurt Cutajar,
Hanting Xie,
Jas Kandola,
& Niall Twomey
, 2023
DOI: 10.48550/arXiv.2311.10049
Type: other
Inferring player location in sports matches
Gregory Everett,
Ryan J. Beal,
Tim Matthews,
Joseph Early,
Timothy J. Norman,
& Sarvapali D. Ramchurn
, 2023
DOI: 10.48550/arXiv.2302.06569
Type: other
Revisiting deep fisher vectors
Sarah Ahmed,
Tayyaba Azim,
Joseph Arthur Early,
& Sarvapali Ramchurn
, 2022
Type: conference
Scene-to-Patch earth observation: multiple instance learning for land cover classification
Joseph Early,
Ying-Jung Deweese,
Christine Evers,
& Sarvapali Ramchurn
, 2022
Type: other
Non-markovian reward modelling from trajectory labels via interpretable multiple instance learning
Joseph Early,
Tom Bewley,
Christine Evers,
& Sarvapali Ramchurn
, 2022 , arXiv
DOI: 10.48550/arXiv.2205.15367
Type: article
Model agnostic interpretability for multiple instance learning
Joseph Early,
Christine Evers,
& Sarvapali Ramchurn
, 2022
Type: conference
Non-Markovian reward modelling from trajectory labels via Interpretable multiple instance learning
Joseph Early,
Tom Bewley,
Christine Evers,
& Sarvapali Ramchurn
, 2022
Type: conference
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,
Z. Walters,
S. Ramchurn,
& T. Underwood
, 2021 , The Journal of Pathology , 255 , S35
Type: conference
Non-asimov explanations regulating AI through transparency
Chris Reed,
Keri Grieman,
& Joseph Early
, 2021 , Nordic Yearbook of Law and Informatics
DOI: 10.48550/arXiv.2111.13041
Type: article
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