Yannick Benezeth
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View article: A Deep Shrinkage Network for Direction-of-Arrival Estimation with Sparse Prior
A Deep Shrinkage Network for Direction-of-Arrival Estimation with Sparse Prior Open
Direction-of-arrival (DOA) estimation of underwater multipath signals plays a indispensable role in both military and civilian underwater applications. Despite its importance, accurately estimating DOA under multipath conditions is challen…
View article: Measuring Physiological Data to Estimate Stress Through Robot-Orchestrated Interaction in Children's Hospital
Measuring Physiological Data to Estimate Stress Through Robot-Orchestrated Interaction in Children's Hospital Open
International audience
View article: Correction: Impacts of multicollinearity on CAPT modalities: An heterogeneous machine learning framework for computer-assisted French phoneme pronunciation training
Correction: Impacts of multicollinearity on CAPT modalities: An heterogeneous machine learning framework for computer-assisted French phoneme pronunciation training Open
[This corrects the article DOI: 10.1371/journal.pone.0257901.].
View article: A RTL Implementation of Heterogeneous Machine Learning Network for French Computer Assisted Pronunciation Training
A RTL Implementation of Heterogeneous Machine Learning Network for French Computer Assisted Pronunciation Training Open
Computer-assisted pronunciation training (CAPT) is a helpful method for self-directed or long-distance foreign language learning. It greatly benefits from the progress, and of acoustic signal processing and artificial intelligence techniqu…
View article: Gated Recurrent Unit-Based RNN for Remote Photoplethysmography Signal Segmentation
Gated Recurrent Unit-Based RNN for Remote Photoplethysmography Signal Segmentation Open
International audience
View article: Additional file 3 of Performance analysis of remote photoplethysmography deep filtering using long short-term memory neural network
Additional file 3 of Performance analysis of remote photoplethysmography deep filtering using long short-term memory neural network Open
Additional file 3. Table with the names of the subjects in the COHFACE database and their reliable segments.
View article: Additional file 2 of Performance analysis of remote photoplethysmography deep filtering using long short-term memory neural network
Additional file 2 of Performance analysis of remote photoplethysmography deep filtering using long short-term memory neural network Open
Additional file 2. Table with the names of the subjects in the VIPL-HR database and their reliable segments.
View article: Additional file 1 of Performance analysis of remote photoplethysmography deep filtering using long short-term memory neural network
Additional file 1 of Performance analysis of remote photoplethysmography deep filtering using long short-term memory neural network Open
Additional file 1. Table with the names of the subjects in the MMSE-HR database and their reliable segments.
View article: Automatic Assessment of Emotion Dysregulation in American, French, and Tunisian Adults and New Developments in Deep Multimodal Fusion: Cross-sectional Study
Automatic Assessment of Emotion Dysregulation in American, French, and Tunisian Adults and New Developments in Deep Multimodal Fusion: Cross-sectional Study Open
Background Emotion dysregulation is a key dimension of adult psychological functioning. There is an interest in developing a computer-based, multimodal, and automatic measure. Objective We wanted to train a deep multimodal fusion model to …
View article: Automatic Assessment of Emotion Dysregulation in American, French, and Tunisian Adults and New Developments in Deep Multimodal Fusion: Cross-sectional Study (Preprint)
Automatic Assessment of Emotion Dysregulation in American, French, and Tunisian Adults and New Developments in Deep Multimodal Fusion: Cross-sectional Study (Preprint) Open
BACKGROUND Emotion dysregulation is a key dimension of adult psychological functioning. There is an interest in developing a computer-based, multimodal, and automatic measure. OBJECTIVE We wanted to train a deep multimodal fusion model …
View article: Impacts of multicollinearity on CAPT modalities: An heterogeneous machine learning framework for computer-assisted French phoneme pronunciation training
Impacts of multicollinearity on CAPT modalities: An heterogeneous machine learning framework for computer-assisted French phoneme pronunciation training Open
Phoneme pronunciations are usually considered as basic skills for learning a foreign language. Practicing the pronunciations in a computer-assisted way is helpful in a self-directed or long-distance learning environment. Recent researches …
View article: UBFC-Phys: A Multimodal Database For Psychophysiological Studies of Social Stress
UBFC-Phys: A Multimodal Database For Psychophysiological Studies of Social Stress Open
International audience
View article: Iterative Boundaries Implicit Identification for Superpixels Segmentation: A Real-Time Approach
Iterative Boundaries Implicit Identification for Superpixels Segmentation: A Real-Time Approach Open
Superpixel algorithms group visually coherent pixels and form an alternative representation of the regular structure of the pixel grid. This fundamental low-level computer vision preprocessing step greatly reduces the complexity of subsequ…
View article: Multispectral imaging detects gastritis consistently in mouse model and in humans
Multispectral imaging detects gastritis consistently in mouse model and in humans Open
Gastritis constitutes the initial step of the gastric carcinogenesis process. Gastritis diagnosis is based on histological examination of biopsies. Non-invasive real-time methods to detect mucosal inflammation are needed. Tissue optical pr…
View article: Long Short-Term Memory Deep-Filter in Remote Photoplethysmography
Long Short-Term Memory Deep-Filter in Remote Photoplethysmography Open
International audience
View article: Video-Based Pulse Rate Variability Measurement Using Periodic Variance Maximization and Adaptive Two-Window Peak Detection
Video-Based Pulse Rate Variability Measurement Using Periodic Variance Maximization and Adaptive Two-Window Peak Detection Open
Many previous studies have shown that the remote photoplethysmography (rPPG) can measure the Heart Rate (HR) signal with very high accuracy. The remote measurement of the Pulse Rate Variability (PRV) signal is also possible, but this is mu…
View article: Peer Review #1 of "Intrinsic RGB and multispectral images recovery by independent quadratic programming (v0.1)"
Peer Review #1 of "Intrinsic RGB and multispectral images recovery by independent quadratic programming (v0.1)" Open
This work introduces a method to estimate reflectance, shading, and specularity from a single image.Reflectance, shading, and specularity are intrinsic images derived from the dichromatic model.Estimation of these intrinsic images has many…
View article: Peer Review #2 of "Intrinsic RGB and multispectral images recovery by independent quadratic programming (v0.1)"
Peer Review #2 of "Intrinsic RGB and multispectral images recovery by independent quadratic programming (v0.1)" Open
This work introduces a method to estimate reflectance, shading, and specularity from a single image.Reflectance, shading, and specularity are intrinsic images derived from the dichromatic model.Estimation of these intrinsic images has many…
View article: Peer Review #2 of "Intrinsic RGB and multispectral images recovery by independent quadratic programming (v0.2)"
Peer Review #2 of "Intrinsic RGB and multispectral images recovery by independent quadratic programming (v0.2)" Open
This work introduces a method to estimate reflectance, shading, and specularity from a single image.Reflectance, shading, and specularity are intrinsic images derived from the dichromatic model.Estimation of these intrinsic images has many…
View article: Intrinsic RGB and multispectral images recovery by independent quadratic programming
Intrinsic RGB and multispectral images recovery by independent quadratic programming Open
This work introduces a method to estimate reflectance, shading, and specularity from a single image. Reflectance, shading, and specularity are intrinsic images derived from the dichromatic model. Estimation of these intrinsic images has ma…
View article: Pre-Cancerous Stomach Lesion Detections with Multispectral-Augmented Endoscopic Prototype
Pre-Cancerous Stomach Lesion Detections with Multispectral-Augmented Endoscopic Prototype Open
In this paper, we are interested in the in vivo detection of pre-cancerous stomach lesions. Pre-cancerous lesions are unfortunately rarely explored in research papers as most of them are focused on cancer detection or conducted ex-vivo. Fo…
View article: Color Converting of Endoscopic Images Using Decomposition Theory and Principal Component Analysis
Color Converting of Endoscopic Images Using Decomposition Theory and Principal Component Analysis Open
International audience
View article: Probabilistic Signal Quality Metric for Reduced Complexity Unsupervised Remote Photoplethysmography
Probabilistic Signal Quality Metric for Reduced Complexity Unsupervised Remote Photoplethysmography Open
International audience
View article: Model-based Region of Interest Segmentation for Remote Photoplethysmography
Model-based Region of Interest Segmentation for Remote Photoplethysmography Open
International audience