1. 2020
  2. van Vugt, M. K., Pollock, J., Johnson, B., Gyatso, K., Norbu, N., Lodroe, T., ... Fresco, D. M. (2020). Inter-brain Synchronization in the Practice of Tibetan Monastic Debate. Mindfulness. https://doi.org/10.1007/s12671-020-01338-1
  3. 2019
  4. Mostard, W., Zijlema, B., & Wiering, M. (2019). Combining visual and contextual information for fraudulent online store classification. In Proceedings - 2019 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2019 (pp. 84-90). Association for Computing Machinery, Inc. https://doi.org/10.1145/3350546.3352504
  5. van Vugt, M. (2019). Using reason to meditate: initial findings about the effects of analytical meditation on brain and behavior. Abstract from Landelijk Mindfulness Symposium, Nijmegen, Netherlands.
  6. Dal Canton, F., Wiering, M., & Quinten, V. (2019). Early Detection of Sepsis Induced Deterioration Using Machine Learning. In M. Atzmueller, & W. Duivestijn (Eds.), BNAIC 2018: Benelux Conference on Artificial Intelligence (pp. 1-15). (Communications in Computer and Information Science; Vol. 1021). Springer. https://doi.org/10.1007/978-3-030-31978-6
  7. Van Ditmarsch, H., Gattinger, M., Kokkinis, I., & Kuijer, L. B. (2019). Reachability of Five Gossip Protocols. In E. Filiot, R. Jungers, & I. Potapov (Eds.), Reachability Problems: RP 2019: International Conference on Reachability Problems (pp. 218-231). (Lecture Notes in Computer Science; Vol. 11674). Cham: Springer. https://doi.org/10.1007/978-3-030-30806-3_17
  8. Wray, R., Taatgen, N., Lebiere, C., Pastra, K., Pirolli, P., Rosenbloom, P., ... Wiles, J. (2019). Functional knowledge requirements for interactive task learning. In K. Gluck, & J. Laird (Eds.), Interactive task learning: Humans, Robots, and Agents Acquiring New Tasks through Natural Interactions (pp. 19-51). ( Strüngmann Forum Reports; Vol. 26). The MIT Press.
  9. Ayoobi, H., Cao, M., Verbrugge, L., & Verheij, B. (2019). Handling unforeseen failures using argumentation-based learning. In International Conference on Automation Science and Engineering (CASE) 2019 (pp. 1699-1704). (IEEE International Conference on Automation Science and Engineering; Vol. 2019-August). IEEE Computer Society. https://doi.org/10.1109/COASE.2019.8843207
  10. Toral Ruiz, A., Edman, L., Spenader, J., & Yeshmagambetova, G. (2019). Neural Machine Translation for English–Kazakh with Morphological Segmentation and Synthetic Data. In Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1) (Vol. 2, pp. 386-392). Forence, Italy: Association for Computational Linguistics (ACL).
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