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Agathe Balayn
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2020 – today
- 2024
- [j3]Gaole He, Agathe Balayn, Stefan Buijsman, Jie Yang, Ujwal Gadiraju:
Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making? J. Artif. Intell. Res. 81: 117-162 (2024) - [c16]Lorenzo Corti
, Rembrandt Oltmans
"It Is a Moving Process": Understanding the Evolution of Explainability Needs of Clinicians in Pulmonary Medicine. CHI 2024: 441:1-441:21 - [c15]Agathe Balayn, Yulu Pi, David Gray Widder, Kars Alfrink, Mireia Yurrita, Sohini Upadhyay, Naveena Karusala, Henrietta Lyons, Cagatay Turkay, Christelle Tessono, Blair Attard-Frost, Ujwal Gadiraju:
From Stem to Stern: Contestability Along AI Value Chains. CSCW Companion 2024: 720-723 - [i11]Agathe Balayn, Mireia Yurrita, Fanny Rancourt, Fabio Casati, Ujwal Gadiraju:
An Empirical Exploration of Trust Dynamics in LLM Supply Chains. CoRR abs/2405.16310 (2024) - [i10]Agathe Balayn, Lorenzo Corti, Fanny Rancourt, Fabio Casati, Ujwal Gadiraju:
Understanding Stakeholders' Perceptions and Needs Across the LLM Supply Chain. CoRR abs/2405.16311 (2024) - [i9]Agathe Balayn, Yulu Pi, David Gray Widder, Kars Alfrink, Mireia Yurrita, Sohini Upadhyay, Naveena Karusala, Henrietta Lyons, Cagatay Turkay, Christelle Tessono, Blair Attard-Frost, Ujwal Gadiraju:
From Stem to Stern: Contestability Along AI Value Chains. CoRR abs/2408.01051 (2024) - 2023
- [b1]Agathe Balayn:
On developers' practices for hazard diagnosis in machine learning systems. Delft University of Technology, Netherlands, 2023 - [c14]Agathe Balayn
"☑ Fairness Toolkits, A Checkbox Culture?" On the Factors that Fragment Developer Practices in Handling Algorithmic Harms. AIES 2023: 482-495 - [c13]Agathe Balayn
Faulty or Ready? Handling Failures in Deep-Learning Computer Vision Models until Deployment: A Study of Practices, Challenges, and Needs. CHI 2023: 11:1-11:20 - [c12]Mireia Yurrita
Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability. CHI 2023: 134:1-134:21 - [c11]Luca Nannini
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK. FAccT 2023: 1198-1212 - [c10]Shahin Sharifi Noorian
Perspective: Leveraging Human Understanding for Identifying and Characterizing Image Atypicality. IUI 2023: 650-663 - [c9]Nirmal Roy
Hear Me Out: A Study on the Use of the Voice Modality for Crowdsourced Relevance Assessments. SIGIR 2023: 718-728 - [i8]Nirmal Roy, Agathe Balayn, David Maxwell, Claudia Hauff:
Hear Me Out: A Study on the Use of the Voice Modality for Crowdsourced Relevance Assessments. CoRR abs/2304.10881 (2023) - [i7]Luca Nannini
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK. CoRR abs/2304.11218 (2023) - [i6]Mireia Yurrita, Agathe Balayn, Ujwal Gadiraju:
Generating Process-Centric Explanations to Enable Contestability in Algorithmic Decision-Making: Challenges and Opportunities. CoRR abs/2305.00739 (2023) - 2022
- [c8]Agathe Balayn, Natasa Rikalo, Christoph Lofi, Jie Yang
How can Explainability Methods be Used to Support Bug Identification in Computer Vision Models? CHI 2022: 184:1-184:16 - [c7]Mireia Yurrita, Dave Murray-Rust
Towards a multi-stakeholder value-based assessment framework for algorithmic systems. FAccT 2022: 535-563 - [c6]Gaole He
It Is like Finding a Polar Bear in the Savannah! Concept-Level AI Explanations with Analogical Inference from Commonsense Knowledge. HCOMP 2022: 89-101 - [c5]Agathe Balayn, Gaole He
Ready Player One! Eliciting Diverse Knowledge Using A Configurable Game. WWW 2022: 1709-1719 - [i5]Mireia Yurrita, Dave Murray-Rust, Agathe Balayn, Alessandro Bozzon:
Towards a multi-stakeholder value-based assessment framework for algorithmic systems. CoRR abs/2205.04525 (2022) - [i4]Andrea Tocchetti, Lorenzo Corti, Agathe Balayn, Mireia Yurrita, Philip Lippmann, Marco Brambilla, Jie Yang
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities. CoRR abs/2210.08906 (2022) - 2021
- [j2]Agathe Balayn, Jie Yang, Zoltán Szlávik, Alessandro Bozzon
Automatic Identification of Harmful, Aggressive, Abusive, and Offensive Language on the Web: A Survey of Technical Biases Informed by Psychology Literature. ACM Trans. Soc. Comput. 4(3): 11:1-11:56 (2021) - [j1]Agathe Balayn
Managing bias and unfairness in data for decision support: a survey of machine learning and data engineering approaches to identify and mitigate bias and unfairness within data management and analytics systems. VLDB J. 30(5): 739-768 (2021) - [c4]Agathe Balayn, Panagiotis Soilis, Christoph Lofi, Jie Yang
What do You Mean? Interpreting Image Classification with Crowdsourced Concept Extraction and Analysis. WWW 2021: 1937-1948 - [i3]Agathe Balayn, Bogdan Kulynych, Seda F. Gürses:
Exploring Data Pipelines through the Process Lens: a Reference Model forComputer Vision. CoRR abs/2107.01824 (2021)
2010 – 2019
- 2019
- [i2]Agathe Balayn, Alessandro Bozzon, Zoltán Szlávik:
Unfairness towards subjective opinions in Machine Learning. CoRR abs/1911.02455 (2019) - [i1]Agathe Balayn, Alessandro Bozzon:
Designing Evaluations of Machine Learning Models for Subjective Inference: The Case of Sentence Toxicity. CoRR abs/1911.02471 (2019) - 2018
- [c3]Agathe Balayn, Panagiotis Mavridis, Alessandro Bozzon, Benjamin Timmermans, Zoltán Szlávik:
Expert Disagreement in Sequential Labeling: A Case Study on Adjudication in Medical Time Series Analysis (short paper). SAD/CrowdBias@HCOMP 2018: 67-71 - [c2]Agathe Balayn, Heike Brock, Kazuhiro Nakadai:
Data-driven development of Virtual Sign Language Communication Agents. RO-MAN 2018: 370-377 - 2016
- [c1]Agathe Balayn, Jeffrey Frederic Queißer
Adaptive handling assistance for industrial lightweight robots in simulation. SIMPAR 2016: 1-8
Coauthor Index
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