Joseph Enguehard

According to our database, Joseph Enguehard authored at least 7 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Time Interpret: a Unified Model Interpretability Library for Time Series.

Joseph Enguehard

CoRR, 2023

Learning Perturbations to Explain Time Series Predictions.

Joseph Enguehard

Proceedings of the International Conference on Machine Learning, 2023

Sequential Integrated Gradients: a simple but effective method for explaining language models.

Joseph Enguehard

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2021

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, Gabriel Bernardino Perez, Ricard Delgado-Gonzalo, Mohammad Mehdi Farhangi, Amir A. Amini, Renkun Ni, Xue Feng, Aditya Bagari, Kiran Vaidhya, Benjamin Veasey, Wiem Safta, Hichem Frigui, Joseph Enguehard, Ali Gholipour, Laura Silvana Castillo, Laura Alexandra Daza, Paul F. Pinsky, Jayashree Kalpathy-Cramer, Keyvan Farahani

IEEE Trans. Medical Imaging, 2021

2020

Neural Temporal Point Processes For Modelling Electronic Health Records.

Joseph Enguehard, Dan Busbridge, Adam Bozson, Claire Woodcock, Nils Hammerla

Proceedings of the Machine Learning for Health Workshop, 2020

2019

Neural Language Priors.

Joseph Enguehard, Dan Busbridge, Vitalii Zhelezniak, Nils Y. Hammerla

CoRR, 2019

Semi-Supervised Learning With Deep Embedded Clustering for Image Classification and Segmentation.

Joseph Enguehard, Peter O'Halloran, Ali Gholipour

IEEE Access, 2019