works on

From the 4 of 15 papers with an AI index.

most citedGWTC-4.0: An Introduction to Version 4.0 of the Gravitational-Wave Transient Catalog

50 citations

15 papers

cs.SD2026

Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice

Reyhaneh Abbasi, Peter Balazs, Vincent Lostanlen +4

Bioacoustic recordings are often degraded by ambient noise, which complicates the analysis of weak or noise-overlapped vocalizations. Convolutional neural networks, particularly U-…

cs.HC2026

The Nocturnity Scale: Measuring the Sense of Being at Night in Virtual Urban Environments

Anthony Le Gourri{é}rec, Etienne Peillard, Nicolas Houel +1

Nighttime environments are increasingly used in virtual urban studies, yet darkness alone does not fully recreate the subjective sense of being at night. Prior work suggests that t…

eess.IV2026

Multi-scale radiomics in pelvic MRI for endometriosis subtyping: highlighting data heterogeneity constraints

Eliot Leguy, Chloe Mallet, Nicolas Normand +1

The paper evaluates a radiomics pipeline on pelvic MRI to subtype endometriosis, comparing multi‑scale feature representations and showing modest classification performance but lim…

cs.RO2026

Design and stability analysis of an underactuated hand with passively rotating fingers

Léonie Plancoulaine, Sylvain Guégan, Franck Plestan +1

This paper presents an innovative design and stability analysis of an underactuated robotic finger with spatial mobility, designed to enhance gripping dexterity in robotic hands. T…

cs.RO2026

The Twist Decomposition of Serial Robots Under Lower-Mobility Tasks

Luc Baron, Damien Chablat

This paper introduces a twist decomposition framework for serial manipulators performing lower mobility tasks. Rather than relying on Jacobian null-space projections, the method se…

cs.CV2026

A novel unsupervised machine learning strategy to handle multimodal cardiac PET/MRI data

Brunnhilde Ponsi, Thomas Carlier, Lara Marteau +5

The paper presents an unsupervised clustering pipeline that integrates PET and MRI cardiac images to automatically detect abnormal myocardial regions in patients with arrhythmogeni…