1 code implementation • 15 Dec 2023 • Hassan Ismail Fawaz, Ganesh Del Grosso, Tanguy Kerdoncuff, Aurelie Boisbunon, Illyyne Saffar
Unsupervised Domain Adaptation (UDA) aims to harness labeled source data to train models for unlabeled target data.
1 code implementation • 28 Sep 2023 • Ali Ismail-Fawaz, Hassan Ismail Fawaz, François Petitjean, Maxime Devanne, Jonathan Weber, Stefano Berretti, Geoffrey I. Webb, Germain Forestier
Our approach uses a new form of time series average, the ShapeDTW Barycentric Average.
2 code implementations • 1 Oct 2020 • Hassan Ismail Fawaz
In this context, deep learning has emerged in recent years as one of the most effective methods for tackling the supervised classification task, particularly in the field of computer vision.
Ranked #1 on Time Series Classification on FordA (mean average precision metric)
10 code implementations • 11 Sep 2019 • Hassan Ismail Fawaz, Benjamin Lucas, Germain Forestier, Charlotte Pelletier, Daniel F. Schmidt, Jonathan Weber, Geoffrey I. Webb, Lhassane Idoumghar, Pierre-Alain Muller, François Petitjean
TSC is the area of machine learning tasked with the categorization (or labelling) of time series.
1 code implementation • 20 Aug 2019 • Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller
The method is validated on the JIGSAWS dataset for two surgical skills evaluation tasks: classification and regression.
1 code implementation • 3 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.
1 code implementation • 17 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.
2 code implementations • 15 Mar 2019 • Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller
Deep neural networks have revolutionized many fields such as computer vision and natural language processing.
1 code implementation • 5 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.
7 code implementations • 12 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.
2 code implementations • 7 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.
1 code implementation • 7 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.
Ranked #1 on Surgical Skills Evaluation on JIGSAWS