Using Generative Adversarial Networks to Develop a Realistic Human Behavior Simulator. - Ali el Hassouni; Mark Hoogendoorn; Vesa Muhonen (PRIMA, 2018)

A Scalable Logo Recognition Model with Deep Meta-Learning. - Mark de Blaauw; Diederik M. Roijers; Vesa Muhonen (BNAIC/BENELEARN, 2019)

End-to-end Personalization of Digital Health Interventions using Raw Sensor Data with Deep Reinforcement Learning. - Ali el Hassouni; Mark Hoogendoorn; A. E. Eiben; Martijn van Otterlo; Vesa Muhonen (WI, 2019)

The FAIR Funder pilot programme to make it easy for funders to require and for grantees to produce FAIR Data. - Peter Wittenburg; Hana Pergl Sustkova; Annalisa Montesanti; Margreet Bloemers; S. H. de Waard; Mark A. Musen; John B. Graybeal; Kristina M. Hettne; Annika Jacobsen; Robert Pergl; Rob W. W. Hooft; Christine Staiger; et al. (CoRR, 2019)

Structural and Functional Representativity of GANs for Data Generation in Sequential Decision Making. - Ali el Hassouni; Mark Hoogendoorn; A. E. Eiben; Vesa Muhonen (LOD (1), 2020)

pH-RL: A Personalization Architecture to Bring Reinforcement Learning to Health Practice. - Ali el Hassouni; Mark Hoogendoorn; Marketa Ciharova; Annet Kleiboer; Khadicha Amarti; Vesa Muhonen; Heleen Riper; A. E. Eiben (LOD, 2021)