271 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- IMT Mines AlèsFR22 papers
- Université de MontpellierFR19 papers
- Eurom (Czechia)CZ3 papers
- University of NizwaOM3 papers
- Institut Polytechnique de BordeauxFR2 papers
- Universität HamburgDE2 papers
- Aristotle University of ThessalonikiGR1 paper
- Budapest University of Technology and EconomicsHU1 paper
- Centre Hospitalier Universitaire de NîmesFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Digital Health Cooperative Research CentreAU1 paper
- Hazara UniversityPK1 paper
27 papers
New perspectives for the fitness fatigue model: how to revisit questions about the science of sports training from the perspective of systems control theory
Jacky Montmain, Pierre Couturier, Gérard Dray
The Fitness-Fatigue model (FFM) was initially designed to gain a better physiological understanding of the impact of training loads on sports performance. For almost 50 years, simu…
Brain-to-Speech: Prosody Feature Engineering and Transformer-Based Reconstruction
Mohammed Salah Al-Radhi, Géza Németh, Andon Tchechmedjiev +1
This chapter presents a novel approach to brain-to-speech (BTS) synthesis from intracranial electroencephalography (iEEG) data, emphasizing prosody-aware feature engineering and ad…
Trends in Equal-Contribution Authorship: A Large-Scale Bibliometric Analysis of Biomedical Literature
Binbin Xu
Equal-contribution authorship, in which two or more authors are designated as having contributed equally, is increasingly common in scientific publishing. Using approximately 480,0…
Transcranial Alternating Current Stimulation (tACS) for patients with Post-Stroke Anomia: Preliminary Data on Picture Naming Performance
Maria Martzoukou, Nefeli K. Dimitriou, Binbin Xu +4
The present study evaluated the effectiveness of transcranial alternating current stimulation (tACS) treating patients with post-stroke anomia using a picture-naming task and a Sin…
Relevance-Aware Thresholding in Online Conformal Prediction for Time Series
Théo Dupuy, Binbin Xu, Stéphane Perrey +2
Uncertainty quantification has received considerable interest in recent works in Machine Learning. In particular, Conformal Prediction (CP) gains ground in this field. For the case…
Federated Learning for ICD Classification with Lightweight Models and Pretrained Embeddings
Binbin Xu, Gérard Dray
This study investigates the feasibility and performance of federated learning (FL) for multi-label ICD code classification using clinical notes from the MIMIC-IV dataset. Unlike pr…
Data Leakage and Deceptive Performance: A Critical Examination of Credit Card Fraud Detection Methodologies
Khizar Hayat, Baptiste Magnier
This study critically examines the methodological rigor in credit card fraud detection research, revealing how fundamental evaluation flaws can overshadow algorithmic sophisticatio…
Getting Inspiration for Feature Elicitation: App Store- vs. LLM-based Approach
Jialiang Wei, Anne-Lise Courbis, Thomas Lambolais +4
Over the past decade, app store (AppStore)-inspired requirements elicitation has proven to be highly beneficial. Developers often explore competitors' apps to gather inspiration fo…
How Does a Single EEG Channel Tell Us About Brain States in Brain-Computer Interfaces ?
Zaineb Ajra, Binbin Xu, Gérard Dray +2
Over recent decades, neuroimaging tools, particularly electroencephalography (EEG), have revolutionized our understanding of the brain and its functions. EEG is extensively used in…
GUing: A Mobile GUI Search Engine using a Vision-Language Model
Jialiang Wei, Anne-Lise Courbis, Thomas Lambolais +4
Graphical User Interfaces (GUIs) are central to app development projects. App developers may use the GUIs of other apps as a means of requirements refinement and rapid prototyping…
Generalized Portrait Quality Assessment
Nicolas Chahine, Sira Ferradans, Javier Vazquez-Corral +1
Automated and robust portrait quality assessment (PQA) is of paramount importance in high-impact applications such as smartphone photography. This paper presents FHIQA, a learning-…
Using Shallow Neural Networks with Functional Connectivity from EEG signals for Early Diagnosis of Alzheimer's and Frontotemporal Dementia
Zaineb Ajra, Binbin Xu, Gérard Dray +2
{Introduction: } Dementia is a neurological disorder associated with aging that can cause a loss of cognitive functions, impacting daily life. Alzheimer's disease (AD) is the most…
Zero-shot Bilingual App Reviews Mining with Large Language Models
Jialiang Wei, Anne-Lise Courbis, Thomas Lambolais +3
App reviews from app stores are crucial for improving software requirements. A large number of valuable reviews are continually being posted, describing software problems and expec…
Motion2Language, unsupervised learning of synchronized semantic motion segmentation
Karim Radouane, Andon Tchechmedjiev, Julien Lagarde +1
In this paper, we investigate building a sequence to sequence architecture for motion to language translation and synchronization. The aim is to translate motion capture inputs int…
Guided Attention for Interpretable Motion Captioning
Karim Radouane, Julien Lagarde, Sylvie Ranwez +1
Diverse and extensive work has recently been conducted on text-conditioned human motion generation. However, progress in the reverse direction, motion captioning, has seen less com…
Boosting GUI Prototyping with Diffusion Models
Jialiang Wei, Anne-Lise Courbis, Thomas Lambolais +3
GUI (graphical user interface) prototyping is a widely-used technique in requirements engineering for gathering and refining requirements, reducing development risks and increasing…
MLinter: Learning Coding Practices from Examples-Dream or Reality?
Corentin Latappy, Quentin Perez, Thomas Degueule +5
Coding practices are increasingly used by software companies. Their use promotes consistency, readability, and maintainability, which contribute to software quality. Coding practic…
Faked Speech Detection with Zero Prior Knowledge
Sahar Al Ajmi, Khizar Hayat, Alaa M. Al Obaidi +3
Audio is one of the most used ways of human communication, but at the same time it can be easily misused to trick people. With the revolution of AI, the related technologies are no…
Mental arithmetic task classification with convolutional neural network based on spectral-temporal features from EEG
Zaineb Ajra, Binbin Xu, Gérard Dray +2
In recent years, neuroscientists have been interested to the development of brain-computer interface (BCI) devices. Patients with motor disorders may benefit from BCIs as a means o…
Interacting humans use forces in specific frequencies to exchange information by touch
C Colomer, M Dhamala, G Ganesh +1
Object-mediated joint action is believed to be enabled by implicit information exchange between interacting individuals using subtle haptic signals within their interaction forces.…
Towards a Data-Driven Requirements Engineering Approach: Automatic Analysis of User Reviews
Jialiang Wei, Anne-Lise Courbis, Thomas Lambolais +3
We are concerned by Data Driven Requirements Engineering, and in particular the consideration of user's reviews. These online reviews are a rich source of information for extractin…
Seamless Copy Move Manipulation in Digital Images
Tanzila Qazi, Mushtaq Ali, Khizar Hayat
The importance and relevance of digital image forensics has attracted researchers to establish different techniques for creating as well as detecting forgeries. The core category i…
Bridging the gap between emotion and joint action
M. M. N. Bieńkiewicz, A. Smykovskyi, T. Olugbade +5
Our daily human life is filled with a myriad of joint action moments, be it children playing, adults working together (i.e., team sports), or strangers navigating through a crowd.…
Improving Patent Mining and Relevance Classification using Transformers
Théo Ding, Walter Vermeiren, Sylvie Ranwez +1
Patent analysis and mining are time-consuming and costly processes for companies, but nevertheless essential if they are willing to remain competitive. To face the overload induced…