activity
20192026
most citedBoosting GUI Prototyping with Diffusion Models

15 citations · 47 across the 9 of their papers we have counts for

collaborators

9 papers

eess.SP2026

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…

cs.CL2025

FineFreq: A Multilingual Character Frequency Dataset from Web-Scale Text

Binbin Xu

We present FineFreq, a large-scale multilingual character frequency dataset derived from the FineWeb and FineWeb2 corpora, covering over 1900 languages and spanning 2013-2025. The…

cs.SE2023★ 15 cited

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…

eess.SP2022★ 12 cited

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…

cs.CL2022

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…

cs.CV2021★ 2 cited

Identity-Disentangled Neural Deformation Model for Dynamic Meshes

Binbin Xu, Lingni Ma, Yuting Ye +3

Neural shape models can represent complex 3D shapes with a compact latent space. When applied to dynamically deforming shapes such as the human hands, however, they would need to p…

cs.CL2021

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…

cs.CL2021★ 10 cited

A Benchmarking on Cloud based Speech-To-Text Services for French Speech and Background Noise Effect

Binbin Xu, Chongyang Tao, Zidu Feng +2

This study presents a large scale benchmarking on cloud based Speech-To-Text systems: {Google Cloud Speech-To-Text}, {Microsoft Azure Cognitive Services}, {Amazon Transcribe}, {IBM…

cs.CL2019★ 8 cited

Pre-training A Neural Language Model Improves The Sample Efficiency of an Emergency Room Classification Model

Binbin Xu, Cédric Gil-Jardiné, Frantz Thiessard +3

To build a French national electronic injury surveillance system based on emergency room visits, we aim to develop a coding system to classify their causes from clinical notes in f…