271 citations
- IMT Mines AlèsFR20 papers
- Université de MontpellierFR17 papers
- Eurom (Czechia)CZ3 papers
- Universität HamburgDE2 papers
- University of NizwaOM2 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
- Institute for Neurosciences of MontpellierFR1 paper
- Institut Mines-TélécomFR1 paper
23 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…