| Bias in automated speaker recognition W Hutiri, AY Ding Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 53 | 2022 |
| Sveva fair: A framework for evaluating fairness in speaker verification W Toussaint, AY Ding arXiv preprint arXiv:2107.12049, 2021 | 14 | 2021 |
| Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence W Toussaint, AY Ding CogMI 2020, 2020 | 14 | 2020 |
| Comparison of clustering techniques for residential load profiles in South Africa W Toussaint, D Moodley CEUR, 2019 | 14 | 2019 |
| Introducing v0. 5 of the ai safety benchmark from mlcommons B Vidgen, A Agrawal, AM Ahmed, V Akinwande, N Al-Nuaimi, N Alfaraj, ... arXiv preprint arXiv:2404.12241, 2024 | 13 | 2024 |
| Clustering residential electricity consumption data to create archetypes that capture household behaviour in South Africa W Toussaint, D Moodley South African Computer Journal 32 (2), 1-34, 2020 | 13 | 2020 |
| Tiny, always-on, and fragile: Bias propagation through design choices in on-device machine learning workflows W Hutiri, AY Ding, F Kawsar, A Mathur ACM Transactions on Software Engineering and Methodology 32 (6), 1-37, 2023 | 11* | 2023 |
| Beyond data transactions: a framework for meaningfully informed data donation A Gomez Ortega, J Bourgeois, WT Hutiri, G Kortuem AI & SOCIETY, 1-18, 2023 | 10 | 2023 |
| Characterising the role of pre-processing parameters in audio-based embedded machine learning W Toussaint, A Mathur, AY Ding, F Kawsar Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems …, 2021 | 9 | 2021 |
| Design Guidelines for Inclusive Speaker Verification Evaluation Datasets W Hutiri, L Gorce, AY Ding Interspeech 2022, 2022 | 8 | 2022 |
| Not My Voice! A Taxonomy of Ethical and Safety Harms of Speech Generators W Hutiri, O Papakyriakopoulos, A Xiang The 2024 ACM Conference on Fairness, Accountability, and Transparency, 359-376, 2024 | 7 | 2024 |
| Evaluation of clustering techniques for generating household energy consumption patterns in a developing country W Toussaint University of Cape Town, Faculty of Science, Computer Science Department, 2019 | 7 | 2019 |
| Design Considerations for High Impact, Automated Echocardiogram Analysis W Toussaint, D Van Veen, C Irwin, Y Nachmany, M Barreiro-Perez, ... ICML 2020 ML for Global Health Workshop, 2020 | 6 | 2020 |
| Benchmark Dataset Dynamics, Bias and Privacy Challenges in Voice Biometrics Research C Rusti, A Leschanowsky, C Quinlan, M Pnacek, L Gorce, W Hutiri International Joint Conference on Biometrics (IJCB), 2023 | 5* | 2023 |
| Towards trustworthy edge intelligence: Insights from voice-activated services W Hutiri, AY Ding 2022 IEEE International Conference on Services Computing (SCC), 239-248, 2022 | 4 | 2022 |
| Design Patterns for Detecting and Mitigating Bias in Edge AI W Hutiri Delft University of Technology, 2023 | 2 | 2023 |
| Design considerations for data daemons: Co-creating design futures to explore ethical personal data management W Toussaint, AG Ortega, J Vroon, J Harty, G Solmaz, O Kudina, ... arXiv preprint arXiv:2106.14975, 2021 | 2 | 2021 |
| Identifying optimal clustering structures for residential energy consumption patterns using competency questions W Toussaint, D Moodley Conference of the South African Institute of Computer Scientists and …, 2020 | 2 | 2020 |
| Automating cluster analysis to generate customer archetypes for residential energy consumers in south africa W Toussaint, D Moodley arXiv preprint arXiv:2006.07197, 2020 | 2 | 2020 |
| The Domestic Electrical Load (DEL) Study Datasets for South Africa W Toussaint Data Descriptor, 2020 | 1* | 2020 |
Aaron Yi DINGAssociate Professor, TU DelftVerified email at tudelft.nl
