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Publications associées (31)
Vapor compression and energy dissipation in a collapsing laser-induced bubble
Mohamed Farhat, Danail Obreschkow, Davide Bernardo Preso, Armand Baptiste Sieber
The composition of the gaseous phase of cavitation bubbles and its role on the collapse remains to date poorly understood. In this work, experiments of single cavitation bubbles in aqueous ammonia serve as a novel approach to investigate the effect of the ...
Melville2024On Artificial Intelligence and Manipulation
The increasing diffusion of novel digital and online sociotechnical systems for arational behavioral influence based on Artificial Intelligence (AI), such as social media, microtargeting advertising, and personalized search algorithms, has brought about ne ...
SPRINGER2023A Practical Influence Approximation for Privacy-Preserving Data Filtering in Federated Learning
Boi Faltings, Ljubomir Rokvic, Panayiotis Danassis
Federated Learning by nature is susceptible to low-quality, corrupted, or even malicious data that can severely degrade the quality of the learned model. Traditional techniques for data valuation cannot be applied as the data is never revealed. We present ...
2023Advances in Bias-aware Recommendation on the Web
The goal of this tutorial is to provide the WSDM community with recent advances on the assessment and mitigation of data and algorithmic bias in recommender systems. We first introduce conceptual foundations, by presenting the state of the art and describi ...
ASSOC COMPUTING MACHINERY2021p Recommender systems: Past, present, future
The origins of modern recommender systems date back to the early 1990s when they were mainly applied experimentally to personal email and information filtering. Today, 30 years later, personalized recommendations are ubiquitous and research in this highly ...
AMER ASSOC ARTIFICIAL INTELL2021