Maxime Devanne
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View article: Conflict management in a distance to prototype-based evidential neural network
Conflict management in a distance to prototype-based evidential neural network Open
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View article: Deep Neural Network Architectures for Advanced Hiking Map Generation
Deep Neural Network Architectures for Advanced Hiking Map Generation Open
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View article: A Comparative Study of CNNs and Vision-Language Models for Chart Image Classification
A Comparative Study of CNNs and Vision-Language Models for Chart Image Classification Open
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View article: COCALITE: A Hybrid Model COmbining CAtch22 and LITE for Time Series Classification
COCALITE: A Hybrid Model COmbining CAtch22 and LITE for Time Series Classification Open
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View article: Look Into the LITE in Deep Learning for Time Series Classification
Look Into the LITE in Deep Learning for Time Series Classification Open
Deep learning models have been shown to be a powerful solution for Time Series Classification (TSC). State-of-the-art architectures, while producing promising results on the UCR and the UEA archives , present a high number of trainable par…
View article: A Medical Low-Back Pain Physical Rehabilitation Database for Human Body Movement Analysis
A Medical Low-Back Pain Physical Rehabilitation Database for Human Body Movement Analysis Open
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View article: A Medical Low-Back Pain Physical Rehabilitation Dataset for Human Body Movement Analysis
A Medical Low-Back Pain Physical Rehabilitation Dataset for Human Body Movement Analysis Open
While automatic monitoring and coaching of exercises are showing encouraging results in non-medical applications, they still have limitations such as errors and limited use contexts. To allow the development and assessment of physical reha…
View article: Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of Metrics
Establishing a Unified Evaluation Framework for Human Motion Generation: A Comparative Analysis of Metrics Open
The development of generative artificial intelligence for human motion generation has expanded rapidly, necessitating a unified evaluation framework. This paper presents a detailed review of eight evaluation metrics for human motion genera…
View article: Document Information Extraction: An Analysis of Invoice Anatomy
Document Information Extraction: An Analysis of Invoice Anatomy Open
In this paper, we present a new approach of document information extraction by studying the document anatomy where we investigated the possible variants and forms it could have for each document component. To overcome the lack of publicly …
View article: Finding Foundation Models for Time Series Classification with a PreText Task
Finding Foundation Models for Time Series Classification with a PreText Task Open
Over the past decade, Time Series Classification (TSC) has gained an increasing attention. While various methods were explored, deep learning - particularly through Convolutional Neural Networks (CNNs)-stands out as an effective approach. …
View article: LITE: Light Inception with boosTing tEchniques for Time Series Classification
LITE: Light Inception with boosTing tEchniques for Time Series Classification Open
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View article: ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging
ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging Open
Time series data can be found in almost every domain, ranging from the medical field to manufacturing and wireless communication. Generating realistic and useful exemplars and prototypes is a fundamental data analysis task. In this paper, …
View article: An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set
An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set Open
The measurement of progress using benchmarks evaluations is ubiquitous in computer science and machine learning. However, common approaches to analyzing and presenting the results of benchmark comparisons of multiple algorithms over multip…
View article: Enhancing Time Series Classification with Self-Supervised Learning
Enhancing Time Series Classification with Self-Supervised Learning Open
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View article: Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters
Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters Open
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View article: Deep Learning Based Architecture Reduction on Camera-Lidar Fusion for Autonomous Vehicles
Deep Learning Based Architecture Reduction on Camera-Lidar Fusion for Autonomous Vehicles Open
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View article: A study of Knowledge Distillation in Fully Convolutional Network for Time Series Classification
A study of Knowledge Distillation in Fully Convolutional Network for Time Series Classification Open
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View article: Real-time road detection implementation of UNet architecture for autonomous driving
Real-time road detection implementation of UNet architecture for autonomous driving Open
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