Researcher

Driessens, K.

Associate Professor, Assistant Professor

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  1. 2018
  2. Published
    Soemers, D. J. N. J., Brys, T., Driessens, K., Winands, M. H. M., & Nowé, A. (2018). Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2-7, 2018: The Thirtieth AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI-18) (pp. 7831-7836). AAAI Press.
  3. 2017
  4. Published
  5. Published
  6. Published
  7. Published
    Houbraken, M., Sun, C., Smirnov, E., & Driessens, K. (2017). Discovering Hidden Course Requirements and Student Competences from Grade Data. In Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization (pp. 147-152). (UMAP '17). New York, NY, USA: ACM. https://doi.org/10.1145/3099023.3099034
  8. Published
    Roschewitz, D., Driessens, K., & Collins, P. (2017). Simultaneous Ensemble Generation and Hyperparameter Optimization for Regression. In B. Verheij, & M. Wiering (Eds.), Artificial Intelligence: BNAIC 2017 (Vol. 823, pp. 116-130). ( Communications in Computer and Information Science; Vol. 823). Springer. https://doi.org/10.1007/978-3-319-76892-2_9
  9. Published
    Zeiss, R., & Driessens, K. (2017). Starting research from real-life problems: collaboration with societal and industrial partners. In W. Jansen, E. Sitzia, N. de Jong, R. Zeiss, & H. Hazen (Eds.), The UM Handbook for PBL & Research Skills. (pp. 20-31). Maastricht: EDLAB.
  10. Published
  11. Published
    Driessens, K., Koprinska, I., Santos, O. C., Smirnov, E., Yacef, K., & Zaiane, O. (2017). UMAP 2017 EdRecSys Workshop Organizers' Welcome & Organization. In Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization
  12. 2016
  13. Published
    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). (Proceedings of the 22nd European Conference on Artificial Intelligence (ECAI'16)). https://doi.org/10.3233/978-1-61499-672-9-158
  14. Published
    van Steenkiste, S., Koutnik, J., Schmidhuber, J., & Driessens, K. (2016). A Wavelet-based Encoding for Neuroevolution. In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 517-524)
  15. 2015
  16. Published
  17. Published
    Zhou, S., Smirnov, E. N., Schoenmakers, G., Peeters, R., & Driessens, K. (2015). A Non-parametric Conformity-Based Test for Transfer Decisions. In Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2015) (pp. 628-635). Vietri sul Mare, Italy.
  18. Published
    Meert, W., Nys, V., Theunis, R., Fannes, T., Ingels, M., Guns, T., ... Verhelst, M. Innovation Lab @ KU Leuven: Education, Engineering and Artificial Intelligence.
  19. Published
    Zhou, S., Schoenmakers, G., Smirnov, E. N., Peeters, R., Driessens, K., & Chen, S. (2015). Largest Source Subset Selection for Instance Transfer. In Proceedings of The 7th Asian Conference on Machine Learning (pp. 423-438). Hong Kong, China.
  20. 2014
  21. Published
    Sarjant, S., Pfahringer, B., Driessens, K., & Smith, T. (2014). A Direct Policy-Search Algorithm for Relational Reinforcement Learning. In Proceedings of the International Conference on Inductive Logic Programming (ILP 2014) (Vol. 8812, pp. 76-92). (Lecture Notes in Artificial Intelligence).
  22. Published
    Bou Ammar, H., Driessens, K., Eaton, E., Taylor, M. E., Mocanu, D. C., Weiss, G., & Tuyls, K. (2014). An automated measure of mdp similarity for transfer in reinforcement learning. In Machine Learning for Interactive Systems: Papers from the AAAI-14 Workshop
  23. Published
    Kauschinger, M., & Driessens, K. (2014). Predicting Pseudo-Random Behaviour in Professional Sports. In Proceedings of the 26th Benelux Conference on Artificial Intelligence
  24. 2013
  25. Published
    Chen, S., Ammar, H. B., Driessens, K., Tuyls, K., & Weiss, G. (2013). Automatic Transfer Between Negotiation Tasks. In Proceedings of the Autonomous Learning Agents (ALA) workshop at AAMAS 2013 Saint Paul, Minnesota, USA.
  26. Published
    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). (Lecture Notes in Computer Science).
  27. Published
    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 (Abstract). In Proceedings of the 25th Benelux Conference on Artificial Intelligence (BNAIC 2013)
  28. 2012
  29. Published
    Ammar, H. B., Taylor, M. E., Tuyls, K., Driessens, K., & Weiss, G. (2012). Reinforcement Learning Transfer Using a Sparse-Coded Inter-Task Mapping (extended abstract). In J. W. H. M. Uiterwijk, N. Roos, & M. H. M. Winands (Eds.), Proceedings of the 24th Benelux Conference on Artificial Intelligence (BNAIC 2012) (pp. 283-284). Maastricht: Department of Knowledge Engineering, Maastricht University.
  30. Published
    Ammar, H. B., Tuyls, K., Driessens, K., & Weiss, G. (2012). Reinforcement Learning Transfer via Sparse Coding. In Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012) (pp. 383-390). Valencia, Spain.
  31. 2011
  32. Published
    Broeck, G. V. D., & Driessens, K. (2011). Automatic Discretization of Actions and States in Monte-Carlo Tree Search. In T. Croonenborghs, K. Driessens, & O. Misura (Eds.), Proceedings of the ECML workshop on Machine Learning and Data Mining in Games
  33. Published
    Croonenborghs, T., Driessens, K., & Misura, O. (Eds.) (2011). ECML Workshop on Machine Learning and Data Mining in Games. Only electronically.
  34. Published
    Ikonomovska, E., Driessens, K., Dzeroski, S., & Gama, J. (2011). Adaptive Windowing for Online Learning from Multiple Inter-related Data Streams. In IEEE 11th International Conference on Data Mining Workshops (pp. 697-704). Vancouver, Canada.
  35. Published
    Sarjant, S., Pfahringer, B., Driessens, K., & Smith, T. (2011). Using the online cross-entropy method to learn relational policies for playing different games. In IEEE Conference on Computational Intelligence and Games (CIG 2011) (pp. 182-189). Seoul, South Korea.
  36. 2010
  37. Published
    Ponsen, M. J. V., Croonenborghs, T., Tuyls, K., Ramon, J., Driessens, K., Herik, H. J. V. D., & Postma, E. O. (2010). Learning with Whom to Communicate Using Relational Reinforcement Learning. In R. Babuska, & F. C. A. Groen (Eds.), Interactive Collaborative Information Systems (pp. 45-63). (Studies in Computational Intelligence). Springer.
  38. 2006
  39. Published
  40. Published
    Driessens, K., Reutemann, P., Pfahringer, B., & Leschi, C. (2006). Using weighted nearest neighbor to benefit from unlabeled data. In Lecture Notes in Computer Science: Proceedings of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2006) (Vol. 3918, pp. 60-69). (LECTURE NOTES IN ARTIFICIAL INTELLIGENCE).
  41. 2004
  42. Published
  43. 2001
  44. Published
  45. Published
    Driessens, K. (2001). Relational reinforcement learning. In MULTI-AGENT SYSTEMS AND APPLICATIONS (Vol. 2086, pp. 271-280). (LECTURE NOTES IN ARTIFICIAL INTELLIGENCE).
  46. 1999
  47. Published
    Driessens, K., Jacobs, N., Cossement, N., Monsieurs, P., & De Raedt, L. (1999). Inductive verification and validation of the KULRoT RoboCup team. In ROBOCUP-98: ROBOT SOCCER WORLD CUP II (Vol. 1604, pp. 193-206). (LECTURE NOTES IN ARTIFICIAL INTELLIGENCE).