Année 2024

Activities co-definition in a smart environment: human-system perception alignment

Clustering Comparable Corpora: From Dataset Creation to Deep Learning Models and their Evaluation

Reversibility for Concurrent Memory Models

Relaxed Concurrency, Proven Concurrency

Simulation and machine learning models for bias assessment and reduction in leaf area density estimators in tropical forests

Neural-Symbolic Integration of Knowledge Extraction and Reasoning on Graph-Structured Data

Statistical learning on high-dimensional structured data

Automatically building micro-architectural CPU models for the performance study of computational kernels

Quantitative Verification and Runtime Techniques for Industrial Automation Systems

Multi-target learning for predictive justice

Multi-target learning for predictive justice

Cultural evolution of knowledge within cognitively-restricted agents: accuracy, specialization and benefits

Object Discovery in Images, Videos, and 3D Scenes

Contrastive Methods for Enhanced Representation Learning

Personalized Federated Learning for Sensor-based Human Activity Recognition in Pervasive Heterogeneous Environments

Optimal regrets in Markov decision processes

The Domain Name System: a Tool and a Target for Internet-Wide Measurements

Theoretical guarantees and improvement of large dimensional multi-task semi-supervised classification

Développement d’une méthodologie basé sur l’apprentissage automatique pour la classification de nanoparticules à partir de données de Diffusion de rayons-X au Petits Angles (SAXS)

Affect-aware Natural Language Generation: application to dialogue and cognitive remediation session summarization in low-resource settings

Efficient Message-Passing Decoding of Quantum LDPC Codes

Formal Modeling for Testing of System-on-Chip Resource Isolation

Online Distributed Learning : A Projection-Free Approach

Deep Learning for 3D Spatial Data Analysis: Methods and Applications in the Fourier Domain

Efficiency and Fairness in Matching Problems

A Versatile Methodology for Assessing the Electricity Consumption and Environmental Footprint of Machine Learning Training: from Supercomputers to Edge Devices

A Theory of Distributed Reversible Systems with Failures and Recovery

Dimensions de variation de la parole spontanée pour l’étude inter-corpus des performances de systèmes de reconnaissance automatique de la parole

Causal discovery from heterogeneous time series with application to IT monitoring data

Measuring, Analysing and Mitigating Malicious Activities on the Internet: A Study on DNS, Open Proxies and Domain Name Defensive Registrations

Multimodal human-robot collaboration in shared tasks

Mission planning for integrated marine robotic systems

Engineering Instrumentation for Runtime Verification and Monitoring

Interaction through programmable soft materials

Mean Field Methods for Heterogeneous and Coupled Systems

Modelling, Runtime Analysis and Quantitative Verification of Business Processe

Specification-based Intrusion Detection for hybrid Industrial control systems

Expert evaluation of a computer-aided creative translation scenario: A translation studies perspective on human-adapted literary machine translation and its ethical and societal implication

Model Architectures and Training Techniques for Multilingual Speech-to-Text Translation

Deep Learning for Numerical Simulation at Scale

Gestion collaborative des pannes en cascades sur les objets connectés

Navigation Sociale Adaptative du Robot en Environnement Humain dans une Ecologie Réelle d'Usages