Artificial Intelligence & Cognitive Engineering

Organisational unit: Research Institute

  1. 2017
  2. Pawara, P., Okafor, E., Schomaker, L., & Wiering, M. (2017). Data Augmentation for Plant Classification. In Advanced Concepts for Intelligent Vision Systems (Acivs 2017) [112]
  3. Ghosh, S., Heifetz, A., Verbrugge, R., & Weerd, H. D. (2017). What Drives People's Choices in Turn-Taking Games, if not Game-Theoretic Rationality? In J. Lang (Ed.), Proceedings 6th Conference on Theoretical Aspects of Rationality and Knowledge (TARK 2017), Liverpool, U.K.: Proceedings (pp. 265-284). (Electronic Proceedings in Theoretical Computer Science (EPTCS); Vol. 251). Open Publishing Association. DOI: 10.4204/EPTCS.251.19
  4. Moye, A. S., & van Vugt, M. (2017). A computational model of focused attention meditation and its transfer to a sustained attention task. In M. K. van Vugt, A. P. Banks, & W. G. Kennedy (Eds.), Proceedings of the 15th International Conference on Cognitive Modeling (pp. 43-48). Coventry, UK: University of Warwick, Inclusive Technology Ltd.
  5. ESM-MERGE investigators (2017). How does rumination impact cognition? A first mechanistic model. In M. van Vugt, A. P. Banks, & W. G. Kennedy (Eds.), Proceedings of the 15th International Conference on Cognitive Modeling (pp. 25-30). Coventry, UK: University of Warwick, Inclusive Technology Ltd.
  6. Okafor, E., Smit, R., Schomaker, L., & Wiering, M. (2017). Operational Data Augmentation in Classifying Single Aerial Images of Animals. In IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA), 2017 (pp. 354-360)
  7. de Koster, A., Spenader, J., & Dotlacil, J. (2017). Children's Understanding of Distributivity and Adjectives of Comparison. In M. LaMendola, & J. Scott (Eds.), Proceedings of the 41st annual Boston University Conference on Language Development (Vol. 1, pp. 373-386). [30] Cascadilla Press.
  8. Valentijn, E. A., Begeman, K., Belikov, A., Boxhoorn, D. R., Brinchmann, J., McFarland, J., ... van Dijk, G. J. W. (2017). Target and (Astro-)WISE technologies - Data federations and its applications. In Astroinformatics 2017 (pp. 333-340). (Proceedings IAU Symposium; Vol. 12, issue S325, Astroinformatics). International Astronomical Union. DOI: 10.1017/S1743921317000254
  9. Dijkstra, K., van de Loosdrecht, J., Schomaker, L., & Wiering, M. (2017). Hyper-spectral frequency selection for the classification of vegetation diseases. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (2017 ed., Vol. ESANN 2017 proceedings, pp. 483-488). Bruges (Belgium).
  10. van der Ree, M., Roerdink, J., Phillips, C., Garraux, G., Salmon, E., & Wiering, M. (2017). Support Vector Components Analysis. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning: ESANN
  11. Shantia, A., Bidoia, F., Schomaker, L., & Wiering, M. (2017). Dynamic Parameter Update for Robot Navigation Systems through Unsupervised Environmental Situational Analysis. In IEEE Symposium Series on Computational Intelligence (pp. 1-7). Institute of Electrical and Electronics Engineers Inc.. DOI: 10.1109/SSCI.2016.7850238
  12. Okafor, E., Pawara, P., Karaaba, M., Surinta, O., Codreanu, V., Schomaker, L., & Wiering, M. (2017). Comparative study between deep learning and bag of visual words for wild-animal recognition. In 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016 (2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016). Institute of Electrical and Electronics Engineers Inc.. DOI: 10.1109/SSCI.2016.7850111
  13. Paul, K., & Cnossen, F. (2017). A Cognitive Neuroscience Perspective on Skill Acquisition in Catheter-based Interventions. In P. Lanzer (Ed.), Textbook of Catheter-Based Cardiovascular Interventions Springer Nature.
  14. Dhali, M., He, S., Popovic, M., Tigchelaar, E., & Schomaker, L. (2017). A Digital Palaeographic Approach towards Writer Identification in the Dead Sea Scrolls. In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, 693-702, 2017, Porto, Portugal (pp. 693-702). DOI: 10.5220/0006249706930702
  15. Jager, W., Verbrugge, R., Flache, A., de Roo, G., Hoogduin, L., & Hemelrijk, C. (Eds.) (2017). Advances in Social Simulation 2015. (Advances in Intelligent Systems and Computing; Vol. 528). Springer International Publishing. DOI: 10.1007/978-3-319-47253-9
  16. Elderman, R., Pater, L., Thie, A., Drugan, M., & Wiering, M. (2017). Adversarial Reinforcement Learning in a Cyber Security Simulation}. In International Conference on Agents and Artificial Intelligence (ICAART)
  17. He, S. (2017). Beyond OCR: Handwritten manuscript attribute understanding [Groningen]: University of Groningen
  18. Pawara, P., Okafor, E., Surinta, O., Schomaker, L., & Wiering, M. (2017). Comparing Local Descriptors and Bags of Visual Words to Deep Convolutional Neural Networks for Plant Recognition. In 6th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2017) ICPRAM .
  19. Köder, F., van der Meer, J. W., & Spenader, J. (2017). The interpretation of Dutch direct speech reports by Frisian-Dutch bilinguals. In From Semantics to Dialectometry: Festschrift for John Nerbonne. Tributes (Vol. 32, pp. 171-179). College Publications.
  20. Wagenaar, M., Okafor, E., Frencken, W., & Wiering, M. (2017). Using Deep Convolutional Neural Networks to Predict Goal-Scoring Opportunities in Soccer. In International Conference on Pattern Recognition Applications and Methods (ICPRAM)
  21. 2016
  22. Tijsma, A., Drugan, M., & Wiering, M. (2016). Comparing Exploration Strategies for Q-learning in Random Stochastic Mazes. In Adaptive Dynamic Programming and Reinforcement Learning (Symposium Series on Computational Intelligence).
  23. Pieters, M., & Wiering, M. (2016). Q-learning with Experience Replay in a Dynamic Environment. In Adaptive Dynamic Programming and Reinforcement Learning (ADPRL) (Symposium Series on Computational Intelligence (SSCI)).
  24. Paul, K., Cnossen, F., Taatgen, N., Lanzer, P., & Villringer, A. (2016). Brain Plasticity Related to Psychomotor Skills in Catheter-based Interventions. 1-1. Poster session presented at Donders Discussion, Nijmegen, Netherlands.
  25. Nieboer, P., Cnossen, F., Bulstra, S., Stevens, M., & Jaarsma, D. (2016). Can I handle the scalpel? Different views on critical subtask assessment between residents and expert surgeons. Poster session presented at International Meeting for Behavioural Sciences Applied to Surgery and Acute Care Settings, Aberdeen, United Kingdom.
  26. Schutten, M., & Wiering, M. (2016). An Analysis on Better Testing than Training Performances on the Iris Dataset. In Belgian Dutch Artificial Intelligence Conference
  27. Maas, J. L., Okafor, E., & Wiering, M. (2016). The Dual Codebook: Combining Bags of Visual Words in Image Classification. In Belgian-Dutch Artificial Intelligence Conference (BNAIC)
  28. Doesburg, F., Cnossen, F., Dieperink, W., Bult, W., & Nijsten, M. W. (2016). Improved usability of a multi-infusion setup using a central control display. 147-148. Poster session presented at 29th Annual Congress European Society of Intensive Care Medicine Milan, Milan, Italy.DOI: 10.1186/s40635-016-0098-x
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