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Joseph Enguehard
Joseph Enguehard
Robin AI
Verified email at robinai.com
Title
Cited by
Cited by
Year
Semi-supervised learning with deep embedded clustering for image classification and segmentation
J Enguehard, P O’Halloran, A Gholipour
Ieee Access 7, 11093-11104, 2019
932019
Neural temporal point processes for modelling electronic health records
J Enguehard, D Busbridge, A Bozson, C Woodcock, N Hammerla
Machine Learning for Health, 85-113, 2020
312020
Sequential Integrated Gradients: a simple but effective method for explaining language models
J Enguehard
arXiv preprint arXiv:2305.15853, 2023
192023
Lung nodule malignancy prediction in sequential ct scans: Summary of isbi 2018 challenge
Y Balagurunathan, A Beers, M Mcnitt-Gray, L Hadjiiski, S Napel, ...
IEEE transactions on medical imaging 40 (12), 3748-3761, 2021
192021
Learning perturbations to explain time series predictions
J Enguehard
International Conference on Machine Learning, 9329-9342, 2023
82023
Neural language priors
J Enguehard, D Busbridge, V Zhelezniak, N Hammerla
arXiv preprint arXiv:1910.03492, 2019
42019
Time Interpret: a Unified Model Interpretability Library for Time Series
J Enguehard
arXiv preprint arXiv:2306.02968, 2023
22023
Continuous Time Self Attention for Improved Computational Predictions
JHT Enguehard, DW Busbridge, A Bozson
US Patent App. 16/884,752, 2021
12021
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