FairVis: Visual analytics for discovering intersectional bias in machine learning ÁA Cabrera, W Epperson, F Hohman, M Kahng, J Morgenstern, DH Chau IEEE Conference on Visual Analytics Science and Technology (VAST), 46-56, 2019 | 244 | 2019 |
Symphony: Composing Interactive Interfaces for Machine Learning A Bäuerle*, ÁA Cabrera*, F Hohman, M Maher, D Koski, X Suau, T Barik, ... ACM Conference on Human Factors in Computing Systems (CHI), 2022 | 71 | 2022 |
Regularizing black-box models for improved interpretability G Plumb, M Al-Shedivat, ÁA Cabrera, A Perer, E Xing, A Talwalkar Advances in Neural Information Processing Systems 33 (NeurIPS), 2020 | 67 | 2020 |
Designing Alternative Representations of Confusion Matrices to Support Non-Expert Public Understanding of Algorithm Performance H Shen, H Jin, ÁA Cabrera, A Perer, H Zhu, JI Hong Proceedings of the ACM on Human-Computer Interaction 4 (CSCW), 2020 | 65 | 2020 |
An open repository of real-time COVID-19 indicators A Reinhart, L Brooks, M Jahja, A Rumack, J Tang, S Agrawal, W Al Saeed, ... Proceedings of the National Academy of Sciences (PNAS) 118 (51), 2021 | 63 | 2021 |
Discovering and Validating AI Errors With Crowdsourced Failure Reports ÁA Cabrera, A Druck, JI Hong, A Perer Proceedings of the ACM on Human-Computer Interaction 5 (CSCW), 2021 | 59 | 2021 |
Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning ÁA Cabrera, E Fu, D Bertucci, K Holstein, A Talwalkar, JI Hong, A Perer ACM Conference on Human Factors in Computing Systems (CHI), 2023 | 48 | 2023 |
What Did My AI Learn? How Data Scientists Make Sense of Model Behavior ÁA Cabrera, MT Ribeiro, B Lee, R DeLine, A Perer, SM Drucker ACM Transactions on Computer-Human Interaction (TOCHI), 2022 | 47 | 2022 |
Improving Human-AI Collaboration with Descriptions of AI Behavior ÁA Cabrera, A Perer, JI Hong Proceedings of the ACM on Human-Computer Interaction 6 (CSCW), 2023 | 46 | 2023 |
An In-depth Look at Gemini's Language Abilities SN Akter, Z Yu, A Muhamed, T Ou, A Bäuerle, ÁA Cabrera, K Dholakia, ... arXiv preprint arXiv:2312.11444, 2023 | 20 | 2023 |
Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms N Johnson, ÁA Cabrera, G Plumb, A Talwalkar Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 11 …, 2023 | 11 | 2023 |
Interactive Classification for Deep Learning Interpretation ÁA Cabrera, F Hohman, J Lin, DH Chau Conference on Computer Vision and Pattern Recognition (CVPR), Demo, 2018 | 10 | 2018 |
Supporting User Engagement in Testing, Auditing, and Contesting AI WH Deng, MS Lam, ÁA Cabrera, D Metaxa, M Eslami, K Holstein Companion Publication of the 2023 Conference on Computer Supported …, 2023 | 8 | 2023 |
Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models G Plumb, N Johnson, ÁA Cabrera, A Talwalkar arXiv preprint arXiv:2207.04104, 2022 | 4 | 2022 |
Discovery of Intersectional Bias in Machine Learning Using Automatic Subgroup Generation ÁA Cabrera, M Kahng, F Hohman, J Morgenstern, DH Chau International Conference on Learning Representations (ICLR), Workshop on …, 2019 | 4 | 2019 |
Evaluating Systemic Error Detection Methods using Synthetic Images G Plumb, N Johnson, ÁA Cabrera, MT Ribeiro, A Talwalkar International Conference on Machine Learning (ICML), Workshop on Spurious …, 2022 | 3 | 2022 |
"Public(s)-in-the-Loop": Facilitating Deliberation of Algorithmic Decisions in Contentious Public Policy Domains H Shen, ÁA Cabrera, A Perer, J Hong ACM Conference on Human Factors in Computing Systems (CHI), Fair and …, 2020 | 3 | 2020 |
Cell Painting for cytotoxicity and mode-of-action analysis in primary human hepatocytes JD Ewald, KL Titterton, A Bäuerle, A Beatson, DA Boiko, ÁA Cabrera, ... bioRxiv, 2025 | | 2025 |
Behavior-Driven AI Development ÁA Cabrera Carnegie Mellon University, 2024 | | 2024 |