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Acurate Human Modeling in Video – ACHMOV
The technological advancements made over the past decade now allow the acquisition of vast amounts of visual information through the use of image capturing devices like digital cameras or camcorders. A central subject of interest in video are the humans, their motions, actions or expressions, the w
AdaPting and exPLaining fairnEss for Preference-based assIgnmEnt – APPLE-PIE
Many real-life applications deal with preference-based assignments. In such multi-agent problems, agents have preferences over items (activities, resources, or even other agents), and these preferences must be aggregated into a collective decision which is an assignment of agents to these items. One
Adaptive Automated Scientific Laboratory – AdaLab
Our proposal integrates the scientific method with 21st century automation technology, with the goal of making scientific discovery more efficient (cheaper, faster, better). A Robot Scientist is a physically implemented laboratory automation system that exploits techniques from the field of artifici
Adaptive Co-Construction of Ethics for LifElong TRrustworthy AI – ACCELER-AI
As many applications involving Artificial Intelligence (AI) may have a beneficial or harmful impact on humans, there is a societal and a research debate about the way to incorporate ethical capabilities into them. This urges AI researchers to develop more ethically-capable agents shifting from ethic
Adaptive Distributional and Algorithmic Robustness – ADAR
In machine learning, safety concerns arise from various factors, including data variability, algorithm instability, fairness and privacy constraints, and unpredictable environmental changes. Distributionally Robust Optimization (DRO) tackles these challenges by optimizing models across potential dat
Adaptive Fiabilisation of Multi-Agent Cooperative Applications – FACOMA
The possibility of partial failures is a fundamental characteristic of distributed applications. The fault tolerance research community has developped solutions (algorithms and architectures), mostly based on the concept of replication, applied for instance to data bases. But, these techniques are
Adaptive Learning for Intelligent Crowdsourcing and Information Access – ALICIA
Data management is becoming increasingly user-centric, with users shifting from their role of pure information consumers to generators and evaluators of content of all sorts. Indeed, we are witnessing the emergence of a plethora of systems, especially on the Web, in which users contribute, access an
Adaptive Optics PSF Prediction – APPLY
Adaptive Optics for astronomy has revolutionized the ground-based telescopes by providing the highest achievable image quality of the world. All the current 8/10m telescopes are progressively turned into adaptive telescopes, relying on complex AO systems integrated inside the telescope itself, and p
Adaptive Sound Field Synthesis for Hearing Aid Research – ASFHEAR
Hearing loss affects a growing number of people, and has a huge social and economic impact. It is essential to provide hearing-impaired people with adequate hearing aids so that they can participate fully in society. To achieve this, hearing aid research area requires high-performance diagnostic too
Adaptive composite materials with machine learning and 4D printing – REDeSIGN4D
REDeSIGN4D explores new bio-inspired, programmable shape-changing structures with controlled environmental impact. They are produced from flax fibers, combined with the use of innovative 4D printing, functionalization, multi-physics numerical simulation, and machine learning processes. Inspired by b
