Emma Beauxis-Aussalet

22 papers B 2Journal 7Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Analysing and organising human communications for AI fairness assessment.
AI Soc.
Mirthe Dankloff, Vanja Skoric, Giovanni Sileno, Sennay Ghebreab, Jacco van Ossenbruggen, Emma Beauxis-Aussalet
2025 J jnl
Hierarchical Multi-Positive Contrastive Learning for Patent Image Retrieval.
CoRR
Kshitij Kavimandan, Angelos Nalmpantis, Emma Beauxis-Aussalet, Robert-Jan Sips
2025 — conf
How Do Companies Manage the Environmental Sustainability of AI? An Interview Study About Green AI Efforts and Regulations.
ICT4S
Ashmita Sampatsing, Sophie Vos, Emma Beauxis-Aussalet, Justus Bogner
2025 J jnl
How Do Companies Manage the Environmental Sustainability of AI? An Interview Study About Green AI Efforts and Regulations.
CoRR
Ashmita Sampatsing, Sophie Vos, Emma Beauxis-Aussalet, Justus Bogner
2024 J jnl
Analysing and Organising Human Communications for AI Fairness-Related Decisions: Use Cases from the Public Sector.
CoRR
Mirthe Dankloff, Vanja Skoric, Giovanni Sileno, Sennay Ghebreab, Jacco van Ossenbruggen, Emma Beauxis-Aussalet
2022 — conf
End-to-End Bias Mitigation in Candidate Recommender Systems with Fairness Gates.
HR@RecSys
Adam Mehdi Arafan, David Graus, Fernando P. Santos, Emma Beauxis-Aussalet
2021 — conf
Error Variance, Fairness, and the Curse on Minorities.
PKDD/ECML Workshops (2)
Emma Beauxis-Aussalet
2021 J jnl
The Role of Interactive Visualization in Fostering Trust in AI.
IEEE Computer Graphics and Applications
Emma Beauxis-Aussalet, Michael Behrisch, Rita Borgo, Duen Horng Chau, Christopher Collins, David S. Ebert, Mennatallah El-Assady, Alex Endert, Daniel A. Keim, Jörn Kohlhammer, Daniela Oelke, Jaakko Peltonen, Maria Riveiro, Tobias Schreck, Hendrik Strobelt, Jarke J. van Wijk, Theresa-Marie Rhyne
2019 — —
Statistics and Visualizations for Assessing Class Size Uncertainty.
Emma Beauxis-Aussalet
2018 — conf
Supporting End-User Understanding of Classification Errors.
ECCE
Emma Beauxis-Aussalet, Joost van Doorn, Lynda Hardman
2017 B conf
Extended Methods to Handle Classification Biases.
DSAA
Emma Beauxis-Aussalet, Lynda Hardman
2017 J jnl
Prediction Scores as a Window into Classifier Behavior.
CoRR
Medha Katehara, Emma Beauxis-Aussalet, Bilal Alsallakh
2017 — conf
The CWI World Cup Competition: Eliciting Sets of Acceptable Gambles.
ISIPTA
Erik Quaeghebeur, Chris Wesseling, Emma Beauxis-Aussalet, Teresa Piovesan, Tom F. Sterkenburg
2016 — conf
Ergonomic Considerations for the Design and the Evaluation of Uncertain Data Visualizations.
HCI (4)
Sabine Theis, Christina Bröhl, Matthias Wille, Peter Rasche, Alexander Mertens, Emma Beauxis-Aussalet, Lynda Hardman, Christopher M. Schlick
2016 J jnl
Uncertainty-aware estimation of population abundance using machine learning.
Multim. Syst.
Bastiaan J. Boom, Emma Beauxis-Aussalet, Lynda Hardman, Robert B. Fisher
2016 — ch.
Understanding Uncertainty Issues in the Exploration of Fish Counts.
Fish4Knowledge
Emma Beauxis-Aussalet, Lynda Hardman
2016 — ch.
User Information Needs.
Fish4Knowledge
Emma Beauxis-Aussalet, Lynda Hardman
2015 — conf
Multi-Purpose Exploration of Uncertain Data for the Video Monitoring of Ecosystems.
EnvirVis@EuroVis
Emma Beauxis-Aussalet, Lynda Hardman
2015 B conf
Multifactorial uncertainty assessment for monitoring population abundance using computer vision.
DSAA
Emma Beauxis-Aussalet, Lynda Hardman
2015 — conf
Supporting Non-Experts' Awareness of Uncertainty: Negative Effects of Simple Visualizations in Multiple Views.
ECCE
Emma Beauxis-Aussalet, Elvira Arslanova, Lynda Hardman
2013 — conf
A case study of trust issues in scientific video collections.
MAED@ACM Multimedia
Emma Beauxis-Aussalet, Elvira Arslanova, Lynda Hardman, Jacco van Ossenbruggen
2013 — conf
A video processing and data retrieval framework for fish population monitoring.
MAED@ACM Multimedia
Emma Beauxis-Aussalet, Simone Palazzo, Gayathri Nadarajan, Elvira Arslanova, Concetto Spampinato, Lynda Hardman