Publikationen von Timo von Oertzen

Omar, A., von Oertzen, T., & Augustin, T. (2022). Learning from categorical data subject to non-random misclassification and non-response under prior quasi-near-ignorance using an imprecise Dirichlet model. In D. Ciucci, I. Couso, J. Medina, D. Ślęzak, D. Petturiti, B. Bouchon-Meunier, & R. R. Yager (Eds.), Information processing and management of uncertainty in knowledge-based systems, 19th International Conference, IPMU 2022, Milan, Italy, July 11–15, 2022. Proceedings: Part II (pp. 532–544). Springer. https://doi.org/10.1007/978-3-031-08974-9_43

Bodirsky, M., Jonsson, P., & von Oertzen, T. (2009). Semilinear program feasibility. In S. Albers, A. Marchetti-Spaccamela, Y. Matias, S. E. Nikoletseas, & W. Thomas (Eds.), Automata, languages and programming: 36th International Colloquium, ICALP 2009, Rhodes, Greece, July 5-12, 2009, Proceedings, Part II (pp. 79–90). Springer. https://doi.org/10.1007/978-3-642-02930-1_7

Czienskowski, P., Schellenbach, M., & von Oertzen, T. (2008). Feedback-controlled locomotion in virtual environments. In A. Gulz, C. Magnusson, L. Malmborg, H. Eftring, & B. Jönsson Tollmar K. (Eds.), NordiCHI 2008: Building bridges: Proceedings of the 5th Nordic Conference on Human-Computer Interaction, Lund, Sweden, 20-22 October, 2008 (pp. 447–450). ACM Press.

Adolf, J. K. (2017). Contextualizing the dynamics of affective functioning: Conceptual and statistical considerations [Doktorarbeit, Humboldt-Universität zu Berlin]. https://doi.org/10.18452/19412

Czienskowski, P. (2012). Qualitätsgewinne von Quelllokalisation im EEG durch individuelle Hirnmodelle in altersvergleichenden Studien [Diplomarbeit, Technische Universität Berlin].

Karch, J. D. (2012). Combination of classifiers to increase accuracy of EEG classification [Diplomarbeit, Freie Universität Berlin].

Schilling, F. (2012). Entwurf eines verteilten Systems für die Klassifikation multivariater Zeitreihen im psychophysiologischen Kontext [Diplomarbeit, Freie Universität Berlin].

Beckmann, M. (2010). Vorhersage von Gedächtnisleistung anhand von elektroenzephalographischen Aufzeichnungen [Masterarbeit, Freie Universität Berlin].

Wrzus, C., Brandmaier, A. M., von Oertzen, T., Müller, V., Wagner, G. G., & Riediger, M. (2012). A new approach for assessing sleep duration and postures from ambulatory accelerometry (SOEPpapers on Multidisciplinary Panel Data Research No. 507).

Diemerling, H., Stresemann, L., Braun, T., & von Oertzen, T. (2023). Implementing machine learning techniques for continuous emotion prediction from uniformly segmented voice recordings. PsyArXiv, August 8, 2023. https://doi.org/10.31219/osf.io/5rkxj