Hassan Ismail Fawaz

According to our database, Hassan Ismail Fawaz authored at least 18 papers between 2018 and 2023.

Collaborative distances:

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

2023

Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark.

Hassan Ismail Fawaz, Ganesh Del Grosso, Tanguy Kerdoncuff, Aurelie Boisbunon, Illyyne Saffar

CoRR, 2023

ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging.

Ali Ismail-Fawaz, Hassan Ismail Fawaz, François Petitjean, Maxime Devanne, Jonathan Weber, Stefano Berretti, Geoffrey I. Webb, Germain Forestier

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023

2022

Smooth Perturbations for Time Series Adversarial Attacks.

Gautier Pialla, Hassan Ismail Fawaz, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller, Christoph Bergmeir, Daniel F. Schmidt, Geoffrey I. Webb, Germain Forestier

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2020

Deep learning for time series classification. (Apprentissage profond pour la classification des séries temporelles).

Hassan Ismail Fawaz

PhD thesis, 2020

InceptionTime: Finding AlexNet for time series classification.

Hassan Ismail Fawaz, Benjamin Lucas, Germain Forestier, Charlotte Pelletier, Daniel F. Schmidt, Jonathan Weber, Geoffrey I. Webb, Lhassane Idoumghar, Pierre-Alain Muller, François Petitjean

Data Min. Knowl. Discov., 2020

Deep learning for time series classification.

Hassan Ismail Fawaz

CoRR, 2020

Neural Architecture Search for Time Series Classification.

Hojjat Rakhshani, Hassan Ismail Fawaz, Lhassane Idoumghar, Germain Forestier, Julien Lepagnot, Jonathan Weber, Mathieu Brévilliers, Pierre-Alain Muller

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Knowledge-driven Biometric Authentication in Virtual Reality.

Florian Mathis, Hassan Ismail Fawaz, Mohamed Khamis

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

2019

Deep learning for time series classification: a review.

Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller

Data Min. Knowl. Discov., 2019

Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks.

Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller

Int. J. Comput. Assist. Radiol. Surg., 2019

Adversarial Attacks on Deep Neural Networks for Time Series Classification.

Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller

Proceedings of the International Joint Conference on Neural Networks, 2019

Deep Neural Network Ensembles for Time Series Classification.

Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller

Proceedings of the International Joint Conference on Neural Networks, 2019

Augmentation de données pour la classification de séries temporelles par réseaux de neurones profonds résiduels.

Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller

Proceedings of the Extraction et Gestion des connaissances, 2019

Automatic Alignment of Surgical Videos Using Kinematic Data.

Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, François Petitjean, Lhassane Idoumghar, Pierre-Alain Muller

Proceedings of the Artificial Intelligence in Medicine, 2019

2018

Data augmentation using synthetic data for time series classification with deep residual networks.

Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller

CoRR, 2018

Surgical motion analysis using discriminative interpretable patterns.

Germain Forestier, François Petitjean, Pavel Senin, Fabien Despinoy, Arnaud Huaulmé, Hassan Ismail Fawaz, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller, Pierre Jannin

Artif. Intell. Medicine, 2018

Evaluating Surgical Skills from Kinematic Data Using Convolutional Neural Networks.

Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Transfer learning for time series classification.

Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018