output
20062026
most citedDemodulation of spatial carrier images : performance analysis of several algorithms using a single image

23 citations

30 papers

q-bio.QM2026★ 6 cited

CryoAnomaly: Few-Shot Cryo-EM Particle Picking via Anomaly-Guided Hard Negative Suppression

Riku Itsuji, Rintaro Otsubo, Ryo Fujii +4

Cryo-electron microscopy (cryo-EM) is crucial for analyzing 3D biological structures, in which automated particle picking is essential for the workflow. However, fully supervised m…

physics.ao-ph2026

Impact of geophysical fields on Deep Learning-based Lagrangian drift simulations

Daria Botvynko, Carlos Granero-Belinchon, Simon Van Gennip +2

We assess the influence of different Eulerian geophysical input fields on Lagrangian drift simulations using DriftNet, a learning-based method designed to simulate Lagrangian drift…

cs.CL2025★ 6 cited

Resource for Error Analysis in Text Simplification: New Taxonomy and Test Collection

Benjamin Vendeville, Liana Ermakova, Pierre De Loor

The general public often encounters complex texts but does not have the time or expertise to fully understand them, leading to the spread of misinformation. Automatic Text Simplifi…

cs.HC2025★ 4 cited

Evaluating the Effects of Situated and Embedded Visualisation in Augmented Reality Guidance for Isolated Medical Assistance

Frederick George Vickery, Sébastien Kubicki, Charlotte Hoareau +4

One huge advantage of Augmented Reality (AR) is its numerous possibilities of displaying information in the physical world, especially when applying Situated Analytics (SitA). AR d…

cs.AI2024

What killed the cat? Towards a logical formalization of curiosity (and suspense, and surprise) in narratives

Florence Dupin de Saint-Cyr, Anne-Gwenn Bosser, Benjamin Callac +1

We provide a unified framework in which the three emotions at the heart of narrative tension (curiosity, suspense and surprise) are formalized. This framework is built on nonmonoto…

eess.SY2024★ 6 cited

Advanced POD-Based Performance Evaluation of Classifiers Applied to Human Driver Lane Changing Prediction

Zahra Rastin, Dirk Söffker

Machine learning (ML) classifiers serve as essential tools facilitating classification and prediction across various domains. The performance of these algorithms should be known to…