Publicaties

Meesters, M., Heck, P. & Serebrenik, A. (2022) What Is an AI Engineer? An Empirical Analysis of Job Ads in The Netherlands. https://doi.org/10.1145/3522664.3528594

Schouten, G., Sangiovanni, M., Hogeweg, L. & Kalkman, V. (2021) Large-scale Monitoring of Wildflowers: Data and AI Challenges. NWO Life 2021 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), pp. 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 Ensemble Learning with Crowdsourced Features Improve Skin Lesion Diagnosis. arXiv preprintarXiv:2004.14745v2.

Schouten, G., Boosten-Ovtchinnikova, M., Paszkowski, B. & Van den Boogaard, L. (2019) Take out what you can: quantitative analysis of the open question results from the National Student Survey (artikel). 16-06-2019. https://surfsharekit.nl/public/2a90d9aa-c004-4329-b9ae-98c6304de057

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.

Populair:

Wernaart, B., Arets, D., Pen, C. & Schouten, G. (2022) Datacenters: een noodzakelijke infrastructuur die niemand wil. AG Connect, 10 maart 2022.

Wernaart, B., Arets, D., Pen, C.J. & Schouten, G. (2022) Datacenters verdienen beter debat. AG Connect. Maart 2022

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.

Geleijns, B., Baert, R., Kuijpers, N. & Schouten, G. (2021) Met Big Data rijgedrag ZE-Bussen beoordelen. OV Magazine. 1 maart 2021

Terburg, S. (2021) Wij hebben het bedrijfsleven nodig. Regio Business. 26 januari 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