A video processing and data retrieval framework for fish population monitoring. - Emma Beauxis-Aussalet; Simone Palazzo; Gayathri Nadarajan; Elvira Arslanova; Concetto Spampinato; Lynda Hardman (MAED@ACM Multimedia, 2013)

A case study of trust issues in scientific video collections. - Emma Beauxis-Aussalet; Elvira Arslanova; Lynda Hardman; Jacco van Ossenbruggen (MAED@ACM Multimedia, 2013)

A rule-based event detection system for real-life underwater domain. - Concetto Spampinato; Emmanuelle Beauxis-Aussalet; Simone Palazzo; Cigdem Beyan; Jacco van Ossenbruggen; Jiyin He; Bas Boom; Xuan Huang (Mach. Vis. Appl., 2014)

Multifactorial uncertainty assessment for monitoring population abundance using computer vision. - Emma Beauxis-Aussalet; Lynda Hardman (DSAA, 2015)

Supporting Non-Experts' Awareness of Uncertainty: Negative Effects of Simple Visualizations in Multiple Views. - Emma Beauxis-Aussalet; Elvira Arslanova; Lynda Hardman (ECCE, 2015)

Multi-Purpose Exploration of Uncertain Data for the Video Monitoring of Ecosystems. - Emma Beauxis-Aussalet; Lynda Hardman (EnvirVis@EuroVis, 2015)

Ergonomic Considerations for the Design and the Evaluation of Uncertain Data Visualizations. - Sabine Theis; Christina Bröhl; Matthias Wille; Peter Rasche; Alexander Mertens; Emma Beauxis-Aussalet; Lynda Hardman; Christopher M. Schlick (HCI (4), 2016)

Uncertainty-aware estimation of population abundance using machine learning. - Bastiaan J. Boom; Emma Beauxis-Aussalet; Lynda Hardman; Robert B. Fisher (Multim. Syst., 2016)

User Information Needs. - Emma Beauxis-Aussalet; Lynda Hardman (Fish4Knowledge, 2016)

Understanding Uncertainty Issues in the Exploration of Fish Counts. - Emma Beauxis-Aussalet; Lynda Hardman (Fish4Knowledge, 2016)

Extended Methods to Handle Classification Biases. - Emma Beauxis-Aussalet; Lynda Hardman (DSAA, 2017)

The CWI World Cup Competition: Eliciting Sets of Acceptable Gambles. - Erik Quaeghebeur; Chris Wesseling; Emma Beauxis-Aussalet; Teresa Piovesan; Tom F. Sterkenburg (ISIPTA, 2017)

Prediction Scores as a Window into Classifier Behavior. - Medha Katehara; Emma Beauxis-Aussalet; Bilal Alsallakh (CoRR, 2017)

Supporting End-User Understanding of Classification Errors. - Emma Beauxis-Aussalet; Joost van Doorn; Lynda Hardman (ECCE, 2018)

Error Variance, Fairness, and the Curse on Minorities. - Emma Beauxis-Aussalet (PKDD/ECML Workshops (2), 2021)

The Role of Interactive Visualization in Fostering Trust in AI. - Emma Beauxis-Aussalet; Michael Behrisch 001; Rita Borgo; Duen Horng Chau; Christopher Collins 001; David S. Ebert; Mennatallah El-Assady; Alex Endert; Daniel A. Keim; Jörn Kohlhammer; Daniela Oelke; Jaakko Peltonen; et al. (IEEE Computer Graphics and Applications, 2021)

End-to-End Bias Mitigation in Candidate Recommender Systems with Fairness Gates. - Adam Mehdi Arafan; David Graus; Fernando P. Santos; Emma Beauxis-Aussalet (HR@RecSys, 2022)

Analysing and Organising Human Communications for AI Fairness-Related Decisions: Use Cases from the Public Sector. - Mirthe Dankloff; Vanja Skoric; Giovanni Sileno; Sennay Ghebreab; Jacco van Ossenbruggen; Emma Beauxis-Aussalet (CoRR, 2024)

Analysing and organising human communications for AI fairness assessment. - Mirthe Dankloff; Vanja Skoric; Giovanni Sileno; Sennay Ghebreab; Jacco van Ossenbruggen; Emma Beauxis-Aussalet (AI Soc., 2025)

How Do Companies Manage the Environmental Sustainability of AI? An Interview Study About Green AI Efforts and Regulations. - Ashmita Sampatsing; Sophie Vos; Emma Beauxis-Aussalet; Justus Bogner (CoRR, 2025)

Hierarchical Multi-Positive Contrastive Learning for Patent Image Retrieval. - Kshitij Kavimandan; Angelos Nalmpantis; Emma Beauxis-Aussalet; Robert-Jan Sips (CoRR, 2025)

FedFlex: Federated Learning for Diverse Netflix Recommendations. - Sven Lankester; Manel Slokom; Gustavo de Carvalho Bertoli; Matias Vizcaino; Emmanuelle Beauxis-Aussalet; Laura Hollink (CoRR, 2025)