Semi-Supervised Learning With Deep Embedded Clustering for Image Classification and Segmentation. - Joseph Enguehard; Peter O'Halloran; Ali Gholipour (IEEE Access, 2019)

Neural Language Priors. - Joseph Enguehard; Dan Busbridge; Vitalii Zhelezniak; Nils Y. Hammerla (CoRR, 2019)

Neural Temporal Point Processes For Modelling Electronic Health Records. - Joseph Enguehard; Dan Busbridge; Adam Bozson; Claire Woodcock; Nils Hammerla (ML4H@NeurIPS, 2020)

Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge. - Yoganand Balagurunathan; Andrew Beers; Michael F. McNitt-Gray; Lubomir M. Hadjiiski; Sandy Napel; Dmitry B. Goldgof; Gustavo Pérez; Pablo Arbeláez; Alireza Mehrtash; Tina Kapur; Ehwa Yang; Jung Won Moon; et al. (IEEE Trans. Medical Imaging, 2021)

Sequential Integrated Gradients: a simple but effective method for explaining language models. - Joseph Enguehard (ACL (Findings), 2023)

Learning Perturbations to Explain Time Series Predictions. - Joseph Enguehard (ICML, 2023)

Time Interpret: a Unified Model Interpretability Library for Time Series. - Joseph Enguehard (CoRR, 2023)

Using the Path of Least Resistance to Explain Deep Networks. - Sina Salek; Joseph Enguehard (CoRR, 2025)