3.4k citations · 5.8k across the 12 of their papers we have counts for
7 papers · 1 filter
From feature selection to continuous optimization
Hojjat Rakhshani, Lhassane Idoumghar, Julien Lepagnot +1
Metaheuristic algorithms (MAs) have seen unprecedented growth thanks to their successful applications in fields including engineering and health sciences. In this work, we investig…
InceptionTime: Finding AlexNet for Time Series Classification
Hassan Ismail Fawaz, Benjamin Lucas, Germain Forestier +7
This paper brings deep learning at the forefront of research into Time Series Classification (TSC). TSC is the area of machine learning tasked with the categorization (or labelling…
Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber +2
Purpose: Manual feedback from senior surgeons observing less experienced trainees is a laborious task that is very expensive, time-consuming and prone to subjectivity. With the num…
Adversarial Attacks on Deep Neural Networks for Time Series Classification
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber +2
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. With…
Deep Neural Network Ensembles for Time Series Classification
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber +2
Deep neural networks have revolutionized many fields such as computer vision and natural language processing. Inspired by this recent success, deep learning started to show promisi…
Transfer learning for time series classification
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber +2
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) t…
Deep learning for time series classification: a review
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber +2
Time Series Classification (TSC) is an important and challenging problem in data mining. With the increase of time series data availability, hundreds of TSC algorithms have been pr…