Kurt Driessens (K.)

• Dzeroski, S., De Raedt, L., & Driessens, K. (2001). Relational reinforcement learning. Machine Learning, 43(1-2), 7-52. https://doi.org/10.1023/A:1007694015589

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• Driessens, K., Ramon, J., & Gaertner, T. (2006). Graph kernels and Gaussian processes for relational reinforcement learning. Machine Learning, 64(1-3), 91-119. https://doi.org/10.1007/s10994-006-8258-y

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• Ammar, H. B., Mocanu, D. C., Taylor, M. E., Driessens, K., Tuyls, K., & Weiss, G. (2013). Automatically Mapped Transfer Between Reinforcement Learning Tasks via Three-Way Restricted Boltzmann Machines. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2013) (Vol. 8189, pp. 449-464) https://doi.org/10.1007/978-3-642-40991-2_29

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• Mocanu, D. C., Bou Ammar, H., Lowet, D., Driessens, K., Liotta, A., Weiss, G., & Tuyls, K. (2015). Factored four way conditional restricted Boltzmann machines for activity recognition. Pattern Recognition Letters, 66, 100-108. https://doi.org/10.1016/j.patrec.2015.01.013

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• Lejeune, D., & Driessens, K. (2016). A Data Driven Similarity Measure and Example Mapping Function for General , Unlabelled Data Sets. In Proceedings of the 22nd European Conference on Artificial Intelligence (ECAI'16) (pp. 158-166) https://doi.org/10.3233/978-1-61499-672-9-158

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• Nicotra, D., Lucio Martinez, M., de Vries, J. A., Merk, M., Driessens, K., Westra, R. L., Dibenedetto, D., & Cámpora Pérez, D. H. (2023). A quantum algorithm for track reconstruction in the LHCb vertex detector. Journal of Instrumentation, 18(11), Article P11028. https://doi.org/10.1088/1748-0221/18/11/P11028

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• Lopez, M., Bonizzi, P., Driessens, K., Koekoek, G., de Vries, J., & Westra, R. (2023). Searching for ring-like structures in the Cosmic Microwave Background. Monthly Notices of the Royal Astronomical Society: Letters, 519(1), 922-930. https://doi.org/10.1093/mnras/stac3485

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• Kroner, A., Senden, M., Driessens, K., & Goebel, R. (2020). Contextual encoder-decoder network for visual saliency prediction. Neural Networks, 129, 261-270. https://doi.org/10.1016/j.neunet.2020.05.004

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