dr. Marijn van Wingerden
Universitair docent
TSHD: Tilburg School of Humanities and Digital Sciences
TSHD: Department of Cognitive Science and Artificial Intelligence
E.J.M.vanWingerden@tilburguniversity.edu
Kamer
D 125
Vakken
- Research Project and Thesis CSAI
- Master thesis/Data Science in Action
- PASS PM DSS
- PASS M DSS
- Bachelorthesis CSAI
Recente publicaties
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Uncovering psychiatric phenotypes using unsupervised machine learning…
Hofman, A., Lier, I., Ikram, M. A., van Wingerden, M., & Luik, A. I. (2023). Uncovering psychiatric phenotypes using unsupervised machine learning: A data-driven symptoms approach. European Psychiatry, 66(1), 1-9. Article e27. -
50-kHz ultrasonic vocalizations do not signal social anhedonia in tra…
Seidisarouei, M., Schäble, S., van Wingerden, M., Trossbach, S. V., Korth, C., & Kalenscher, T. (2023). 50-kHz ultrasonic vocalizations do not signal social anhedonia in transgenic DISC1 rats. Brain and Behavior, 13(5), 1-10. Article e2984. -
Effect of social instability stress in adolescence or adulthood on se…
Herlehy, R. A., Lim, S., Murray, S. H., Baumbach, J. L., van Wingerden, M., & McCormick, C. M. (2022). Effect of social instability stress in adolescence or adulthood on sensitivity to sucrose concentration in a social context in male and female Long-Evans rats. Developmental Psychobiology, 64(6), e22293. Article e22293. -
Social anhedonia as a Disrupted-in-Schizophrenia 1-dependent phenotype
Seidisarouei, M., Schäble, S., van Wingerden, M., Trossbach, S. V., Korth, C., & Kalenscher, T. (2022). Social anhedonia as a Disrupted-in-Schizophrenia 1-dependent phenotype. Scientific Reports, 12(1), 10182. Article 10182. -
Clustering of trauma patients based on longitudinal data and the appl…
Stoitsas, K., Bahulikar, S., de Munter, L., de Jongh, M. A. C., Jansen, M. A. C., Jung, M. M., van Wingerden, M., & Van Deun, K. (2022). Clustering of trauma patients based on longitudinal data and the application of machine learning to predict recovery. Scientific Reports, 12(1), Article 16990.