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ORCIDEmma Beauxis-Aussalet
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- affiliation: Centrum Wiskunde & Informatica, Amsterdam, Netherlands
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2020 – today
- 2024
[i2]Mirthe Dankloff, Vanja Skoric, Giovanni Sileno, Sennay Ghebreab, Jacco van Ossenbruggen, Emma Beauxis-Aussalet:
Analysing and Organising Human Communications for AI Fairness-Related Decisions: Use Cases from the Public Sector. CoRR abs/2404.00022 (2024)- 2022
- [c11]Adam Mehdi Arafan, David Graus, Fernando P. Santos, Emma Beauxis-Aussalet:
End-to-End Bias Mitigation in Candidate Recommender Systems with Fairness Gates. HR@RecSys 2022 - 2021
- [j3]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:
The Role of Interactive Visualization in Fostering Trust in AI. IEEE Computer Graphics and Applications 41(6): 7-12 (2021) - [c10]Emma Beauxis-Aussalet:
Error Variance, Fairness, and the Curse on Minorities. PKDD/ECML Workshops (2) 2021: 352-365
2010 – 2019
- 2018
- [c9]Emma Beauxis-Aussalet, Joost van Doorn, Lynda Hardman:
Supporting End-User Understanding of Classification Errors. ECCE 2018: 10:1-10:8 - 2017
- [c8]Emma Beauxis-Aussalet, Lynda Hardman:
Extended Methods to Handle Classification Biases. DSAA 2017: 765-774 - [c7]Erik Quaeghebeur, Chris Wesseling, Emma Beauxis-Aussalet, Teresa Piovesan, Tom F. Sterkenburg:
The CWI World Cup Competition: Eliciting Sets of Acceptable Gambles. ISIPTA 2017: 277-288 - [i1]Medha Katehara, Emma Beauxis-Aussalet, Bilal Alsallakh:
Prediction Scores as a Window into Classifier Behavior. CoRR abs/1711.06795 (2017) - 2016
- [j2]Bastiaan J. Boom, Emma Beauxis-Aussalet, Lynda Hardman, Robert B. Fisher:
Uncertainty-aware estimation of population abundance using machine learning. Multim. Syst. 22(6): 737-749 (2016) - [c6]Sabine Theis, Christina Bröhl, Matthias Wille, Peter Rasche, Alexander Mertens, Emma Beauxis-Aussalet, Lynda Hardman, Christopher M. Schlick:
Ergonomic Considerations for the Design and the Evaluation of Uncertain Data Visualizations. HCI (4) 2016: 191-202 - [p2]Emma Beauxis-Aussalet, Lynda Hardman:
User Information Needs. Fish4Knowledge 2016: 19-30 - [p1]Emma Beauxis-Aussalet, Lynda Hardman:
Understanding Uncertainty Issues in the Exploration of Fish Counts. Fish4Knowledge 2016: 181-205 - 2015
- [c5]Emma Beauxis-Aussalet, Lynda Hardman:
Multifactorial uncertainty assessment for monitoring population abundance using computer vision. DSAA 2015: 1-10 - [c4]Emma Beauxis-Aussalet, Elvira Arslanova, Lynda Hardman:
Supporting Non-Experts' Awareness of Uncertainty: Negative Effects of Simple Visualizations in Multiple Views. ECCE 2015: 20:1-20:8 - [c3]Emma Beauxis-Aussalet, Lynda Hardman:
Multi-Purpose Exploration of Uncertain Data for the Video Monitoring of Ecosystems. EnvirVis@EuroVis 2015: 7-11 - 2014
- [j1]Concetto Spampinato, Emmanuelle Beauxis-Aussalet, Simone Palazzo, Cigdem Beyan, Jacco van Ossenbruggen, Jiyin He, Bas Boom, Xuan Huang:
A rule-based event detection system for real-life underwater domain. Mach. Vis. Appl. 25(1): 99-117 (2014) - 2013
- [c2]Emma Beauxis-Aussalet, Simone Palazzo, Gayathri Nadarajan, Elvira Arslanova, Concetto Spampinato, Lynda Hardman:
A video processing and data retrieval framework for fish population monitoring. MAED@ACM Multimedia 2013: 15-20 - [c1]Emma Beauxis-Aussalet, Elvira Arslanova, Lynda Hardman, Jacco van Ossenbruggen:
A case study of trust issues in scientific video collections. MAED@ACM Multimedia 2013: 41-46
Coauthor Index
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