Search Results for author: Pierre-Alain Muller

Found 9 papers, 9 papers with code

Automatic alignment of surgical videos using kinematic data

1 code implementation3 Apr 2019 Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, François Petitjean, Lhassane Idoumghar, Pierre-Alain Muller

Over the past one hundred years, the classic teaching methodology of "see one, do one, teach one" has governed the surgical education systems worldwide.

Dynamic Time Warping Time Series

Adversarial Attacks on Deep Neural Networks for Time Series Classification

1 code implementation17 Mar 2019 Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller

Time Series Classification (TSC) problems are encountered in many real life data mining tasks ranging from medicine and security to human activity recognition and food safety.

Adversarial Attack Classification +4

Transfer learning for time series classification

1 code implementation5 Nov 2018 Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller

Transfer learning for deep neural networks is the process of first training a base network on a source dataset, and then transferring the learned features (the network's weights) to a second network to be trained on a target dataset.

Classification Dynamic Time Warping +4

Deep learning for time series classification: a review

7 code implementations12 Sep 2018 Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller

We give an overview of the most successful deep learning applications in various time series domains under a unified taxonomy of DNNs for TSC.

Classification General Classification +2

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

2 code implementations7 Aug 2018 Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller

This is surprising as the accuracy of deep learning models for TSC could potentially be improved, especially for small datasets that exhibit overfitting, when a data augmentation method is adopted.

Data Augmentation Dynamic Time Warping +2

Evaluating surgical skills from kinematic data using convolutional neural networks

1 code implementation7 Jun 2018 Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller

The need for automatic surgical skills assessment is increasing, especially because manual feedback from senior surgeons observing junior surgeons is prone to subjectivity and time consuming.

General Classification Skills Assessment +2

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