Rusti, C., Leschanowsky, A., Quinlan, C., Pnacek, M., Gorce, L. and Hutiri, W. 2023. “Benchmark Dataset Dynamics, Bias and Privacy Challenges in Voice Biometrics Research”. IEEE International Joint Conference on Biometrics (IJCB), https://arxiv.org/abs/2304.03858
Gómez Ortega, A., Bourgeois, J., Hutiri, W. and Kortuem, G., 2023, “Beyond Data Transactions: A Framework for Meaningfully Informed Data Donation”. In ACM Journal on AI & Society, https://doi.org/10.1007/s00146-023-01755-5
Hutiri, W., Ding, A. Y., Kawsar, F. and Mathur, A. “Tiny, Always‑on and Fragile: Bias Propagation through Design Choices in On‑device Machine Learning WorkFlows”. ACM Transactions on Software Engineering and Methodology, 4 2023. https://doi.org/10.1145/3591867
Hutiri, W., Gorce, L., Ding, A.Y. 2022. “Design Guidelines for Inclusive Speaker Verification Evaluation Datasets”. Proc. Interspeech 2022, 1293-1297, https://doi.org/10.21437/Interspeech.2022-10799
Hutiri, W. and Ding, A. Y. 2022. “Bias in Automated Speaker Recognition.” In 2022 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’22), June 21–24, 2022, Seoul, Republic of Korea. ACM, New York, NY, USA, https://doi.org/10.1145/3531146.3533089
Hutiri, W. and Ding, A. Y. 2022. “Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services”, in 2022 IEEE International Conference on Services Computing (SCC), Barcelona, Spain, 2022 pp. 239-248. https://doi.org/10.1109/SCC55611.2022.00043
Toussaint, W. and Ding, A. Y., “Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence,” 2020 IEEE Second International Conference on Cognitive Machine Intelligence (CogMI), 2020, pp. 177-184, https://doi.org/10.1109/CogMI50398.2020.00030
Toussaint, W. and Moodley, D. 2020. “Clustering Residential Electricity Consumption Data to Create Archetypes that Capture Household Behaviour in South Africa”. South African Computer Journal 32(2), 1–34. https://doi.org/10.18489/sacj.v32i2.845
Toussaint, W. and Moodley, D. 2020. “Identifying optimal clustering structures for residential energy consumption patterns using competency questions.” In Conference of the South African Institute of Computer Scientists and Information Technologists 2020 (SAICSIT ‘20). ACM, New York, NY, USA, 66–73. https://doi.org/10.1145/3410886.3410887
Toussaint, W. and Moodley, D. 2019. “Comparison of Clustering Techniques for Residential Load Profiles in South Africa.” In Proceedings of the South African Forum for AI Research. URL http://ceur-ws.org/Vol-2540/FAIR2019_paper_55.pdf.
Workshop papers
Toussaint, W., Mathur, A., Ding, A. Y., Kawsar, F., 2021. “Characterising the Role of Pre-Processing Parameters in Audio-based Embedded Machine Learning”, In The 3rd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things (AIChallengeIoT 21), November 15–17, 2021, Coimbra, Portugal. ACM, New York, NY, USA, 7 pages. https://doi.org/10.1145/3485730.3493448
Wiebke Toussaint, Dave Van Veen, Courtney Irwin, Yoni Nachmany, Manuel Barreiro-Perez, Elena Díaz-Peláez, Sara Guerreiro de Sousa, Liliana Millán, Pedro L. Sánchez, Antonio Sánchez-Puente, Jesús Sampedro-Gómez, P. Ignacio Dorado-Díaz, Víctor Vicente-Palacios. 2020. “Design Considerations for High Impact, Automated Echocardiogram Analysis.” ICML 2020 Workshop on ML for Global Health. URL https://arxiv.org/abs/2006.06292
Toussaint, W. and Moodley, D. 2020. “Using competency questions to select optimal clustering structures for residential energy consumption patterns.” ICLR 2020 Workshop on Machine Learning in Real Life. URL https://arxiv.org/abs/2006.00934.
Other publications
Toussaint, W., Ortega, A.G., Vroon, J., Harty, J., Solmaz, G., Kudina, O., Peltonen, E., Bourgeois, J. and Ding, A.Y., 2021. “Design Considerations for Data Daemons: Co-creating Design Futures to Explore Ethical Personal Data Management.” arXiv preprint https://arxiv.org/abs/2106.14975
Toussaint, Wiebke. The Domestic Electrical Load (DEL) Study Datasets for South Africa. 2020. doi:10.25375/uct.11774691.v1.
Toussaint, Wiebke. Evaluation of Clustering Techniques for Generating Household Energy Consumption Patterns in a Developing Country Context. 2019. URL http://hdl.handle.net/11427/30905. (Masters thesis)
Toussaint, Wiebke. Training engineerings for local engineering excellence. Journal of Humanitarian Engineering 7, 1. 2019. doi:10.36479/jhe.v7i1.159.
Toussaint, Wiebke. Domestic Electrical Load Survey - Key Variables 1994-2014 [dataset]. version 1. Johannesburg: SANEDI [funders]. Cape Town: UCT Energy Research Centre [producers], 2014. Cape Town: DataFirst [distributor], 2019. doi:10.25828/mf8s-hh79
Eskom, Stellenbosch University, University of Cape Town. Domestic Electrical Load Metering Data 1994-2014 [dataset]. version 1. Johannesburg: Eskom, Cape Town: UCT, Stellenbosch: US [producers], 2014. Cape Town: DataFirst [distributor], 2019. doi:10.25828/p3k7-r965
Eskom, Stellenbosch University, University of Cape Town. Domestic Electrical Load Survey 1994-2014 [dataset]. version 1. Johannesburg: Eskom, Cape Town: UCT, Stellenbosch: US [producers], 2014. Cape Town: DataFirst [distributor], 2019. doi:10.25828/kzer-gd88
Eskom, Stellenbosch University, University of Cape Town. Domestic Electrical Load Survey-Secure Data 1994-2014 [dataset]. version 1. Johannesburg: Eskom, Cape Town: UCT, Stellenbosch: US [producers], 2014. Cape Town: DataFirst [distributor], 2019. doi:10.25828/7jtv-mc31
Software
bt4vt: python library bias tests for voice technologies
usal_echo: python data science pipeline to automate echocardiogram analysis
delarchetypes: python library for constructing South African residential electricity consumer archetypes from the Domestic Electrical Load Study data
Toussaint, Wiebke. delretrieve: Data Retrieval of the South African Domestic Electrical Load Study, version 1.01. Zenodo. doi:10.5281/zenodo.3605425 (2019).
Toussaint, Wiebke. delprocess: Data Processing of the South African Domestic Electrical Load Study, version 1.01. Zenodo. doi:10.5281/zenodo.3605422 (2019).