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Results: 177
Number of items: 177
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Lekanne gezegd Deprez, H., & Visser, A. (2020, June 26). The Dutch Nao Team synthetic dataset [Data set]. Universiteit van Amsterdam. https://doi.org/10.21942/uva.12570902.v1
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de Jong, M. B., & Visser, A. (2020). Combining Structure from Motion with visual SLAM for the Katwijk Beach dataset. In L. Cao, W. Kosters, & J. Lijffijt (Eds.), BNAIC/BeNeLearn 2020: proceedings : Leiden, the Netherlands, November 19-20, 2020 (pp. 420-422). Universiteit Leiden. http://bnaic.liacs.leidenuniv.nl/bnaic2020proceedings.pdf -
Visser, A., Nardin, L. G., & Castro, S. (2019). Integrating the latest Artificial Intelligence algorithms into the RoboCup Rescue Simulation framework. In D. Holz, K. Genter, M. Saad, & O. von Stryk (Eds.), RoboCup 2018: Robot World Cup XXII (pp. 476-487). (Lecture Notes in Computer Science; Vol. 11374), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-030-27544-0_39
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Hughes, J., Shimizu, M., & Visser, A. (2019). A Review of Robot Rescue Simulation Platforms for Robotics Education. In S. Chalup, T. Niemueller, J. Suthakorn, & M.-A. Williams (Eds.), RoboCup 2019: Robot World Cup XXIII (pp. 86-98). (Lecture Notes in Computer Science; Vol. 11531), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-030-35699-6_7
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Meijer, A.-RJ., & Visser, A. (2019). A residual neural-network model to predict visual cortex measurements. In K. Beuls, B. Bogaerts, G. Bontempi, P. Geurts, N. Harley, B. Lebichot, T. Lenaerts, G. Louppe, & P. Van Eecke (Eds.), Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019): Brussels, Belgium, November 6-8, 2019 Article 97 (CEUR Workshop Proceedings; Vol. 2491). CEUR-WS. http://ceur-ws.org/Vol-2491/short97.pdf -
Meijer, A.-RJ., & Visser, A. (2019). A shallow residual neural network to predict the visual cortex response. Universiteit van Amsterdam. https://arxiv.org/abs/1906.11578 -
Kronemeijer, P., Lagrand, C., Negrijn, S., van der Meer, M., van der Wal, D., Nzuanzu, J., Hesselink, R., Zwerink, W., Komarlu Narendra Gupta, A. R., & Visser, A. (2019). Team Qualification Document for RoboCup 2019, Sydney, Australia: Dutch Nao Team. Universiteit van Amsterdam. http://www.dutchnaoteam.nl/wp-content/uploads/2019/01/DNT_TeamQualificationDocument2019.pdf -
van Heusden, R., & Visser, A. (2018). Making a robot stop a penalty. In M. Atzmueller, & W. Duivesteijn (Eds.), 30th Benelux Conference on Artificial Intelligence: BNAIC 2018 Preproceedings : November 8-9, 2018, Jheronimus Academy of Data Science (JADS), 's-Hertogenbosch, The Netherlands (pp. 89-90). (BNAIC; Vol. 30). Jheronimus Academy of Data Science.
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