Take out what you can: quantitative analysis of the open question results from the National Student Survey (artikel), 16-06-2019, Gerard Schouten (Lector); Masha Boosten-Ovtchinnikova ((Staf)Medewerker); Bartosz Paszkowski (Docent); Levi van den Bogaard ((Staf)Medewerker)
Schouten, G., Sangiovanni, M., Hogeweg, L. & Kalkman, V. (2021): Large-scale Monitoring of Wildflowers: Data and AI Challenges.NWO Life2021 Conference
Heck, P.M., Schouten, G. & Cruz, L. (2021): A Software Engineering Perspective on Building Production-Ready Machine Learning Systems.In: Chkoniya V. (ed.),Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry, pp.23-54. https://doi.org/10.4018/978-1-7998-6985-6.ch002.
Heck, P.M. &Schouten,G. (2021): Lessons Learned from Educating AI Engineers,2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI (WAIN), 2021, pp.1-4, https://arxiv.org/abs/2103.10703
Peeters, M.W.H., Schouten, G. & Wouters, E.J.M. (2021): Wearables for Residents of Nursing Homes with Dementia to Signal Challenging Behaviour: Values, Attitudes and Needs.Gerontechnology, 20(2), 1-13. https://doi.org/10.4017/gt.2021.20.2.7.06
Schouten, G., Sangiovanni, M. & van den Heuvel, WJ.(2021): IoT Beehives and Open Data to Gauge Urban Biodiversity.In: Arai K. (ed)Advances in Information and Communication. FICC 2021. Springer. https://doi.org/10.1007/978-3-030-73100-7_17
Abbasi-Sureshjani, S., Raumanns, R., Michels, B.E.J., Schouten, G. & Cheplygina, V. (2020): Risk of Training Diagnostic Algorithms on Data with Demographic Bias.MICCAI.Lecture Notes in Computer Science, 12446, pp.183-192 https://doi.org/10.1007/978-3-030-61166-8_20.
Heck, P.M. & Schouten, G. (2020): Turning Software Engineers into AI Engineers.arXiv preprint arXiv:2011.01590.
Raumanns, R., Contar, E.K., Schouten, G. & Cheplygina, V. (2020): Multi-task EnsembleLearningwith Crowdsourced Features Improve Skin Lesion Diagnosis.arXiv preprintarXiv:2004.14745v2.
Janssen, O.T.A. & Schouten, G. (2019): Machine Learning and the whole Transparency Thing. Medium blogpost https://medium.com/@o.t.a.janssen/machine-learning-and-the-whole-transparency-thing-ac85577be382.
Aarts, S., Schouten, G. & Wernaart, B. (2017). Ethiek in Onderzoek van de Toekomst. Chapter in: Ethiek van Praktijkgericht Onderzoek, Bohn Stafleu van Loghum. ISBN: 9789036817516.
Schouten, G. (2016). Big Data? Natuurlijk! Inauguration booklet, Fontys.
Arets, D., Graaf, M., Schouten, G. & Wernaart, B. (2021): We moeten ons ook wapenen tegen de ‘data-warlords’, die met nullen en enen vechten. De Volkskrant, 10 november 2021
Schouten, G. (2021): Laat het HBO AI aanpakken. Eindhovens Dagblad, 17 april 2021.
Schouten, G. (2018): Met Data Science de Wereld een beetje mooier Maken. Publiek Denken Magazine.
Schouten, G. (2018). Interview Lector van het Jaar. Podcast, ScienceGuide. https://soundcloud.com/user-143389502/scienceguide-podcast-lector-van-het-jaar
