Publications
Fenneman, A., Sickmann, J., Pitz, T. & Stanfey, A. (2020). Two distinct and separable processes underlie individual differences in algorithm adherence: differences in predictions and differences in trust thresholds, Journal of Behavioral Decision making.
Pitz, T., Kayar, D., Gardian, W., Sickmann, J. and Alkaş, H. (2020). “Comparison of competing market mechanisms with reinforcement learning in a carpooling scenario.” Transportation Research Interdisciplinary Perspectives, 7, 2020: 100190.
DOI: https://doi.org/10.1016/j.trip.2020.100190.
Le, Q.; Bhattacharyya, A.; Chembakasseril, M. and Hartanto, R. (2020). Real-time Sign Detection and Recognition for Self-driving Mini Rovers based on Template Matching and Hierarchical Decision Structure. In Proceedings of the 12th International Conference on Agents and Artificial Intelligence – Volume 1: ICAART, ISBN 978-989-758-395-7, pages 208-215.
DOI: 10.5220/0008969702080215
Volosyak, I., Rezeika, A., Benda, M., Gembler, F., and Stawicki, P. (2020) „Towards solving of the Illiteracy phenomenon for VEP-based brain-computer interfaces“. Biomedical Physics & Engineering Express, 6, 035034.
DOI: https://doi.org/10.1088/2057-1976/ab87e6
Gembler, F., Rezeika, A., Benda, M., and Volosyak, I. (2020). „Five Shades of Grey: Exploring Quintary m-Sequences for More User-Friendly c-VEP-Based BCIs.“ Computational Intelligence and Neuroscience.
DOI: https://doi.org/10.1155/2020/7985010.
Brennan, C., McCullagh, P., Lightbody, G., Galway, L., McClean, S., Stawicki, P., Gembler, F., Volosyak, I., Armstrong, E., and Thompson, E. (2020). „Performance of a Steady-State Visual Evoked Potential and Eye Gaze Hybrid Brain-Computer Interface on Participants With and Without a Brain Injury.“ IEEE Transactions on Human-Machine Systems PP (99).
DOI: https://doi.org/10.1109/THMS.2020.2983661.
Benda, M., and Volosyak, I. (2020). „Comparison of Different Visual Feedback Methods for SSVEP-Based BCIs.“ Brain Sciences 10, no. 4: 240.
DOI: https://doi.org/10.3390/brainsci10040240.
Essig, K., Strenge, B. & Schack, T. (2019). Assistierende Technologie zur Förderung beruflichen Entwicklungspotentions. In: G.W. Maier, G. Engels & E. Steffen (Eds), Handbuch Gestaltung digitaler und vernetzter Arbeitswelten, Springer Verlag.
Kuo YJ., Mahanta A., Indreswaran A., Struck A., Hartanto R. (2019) Effect of Different Agent-Behaviour on a Traffic Simulation Framework. In: Rodrigues H. et al. (eds) EngOpt2018 Proceedings of the 6th International Conference on Engineering Optimization. EngOpt2018. Springer, Cham.
DOI: https://doi.org/10.1007/978-3-319-97773-7_14.