1. 2017
  2. Training Set Edition Using Rough Set Theory for Semi-supervised Classification

    Grau, I., Napoles, G., Sengupta, D., Garcia Lorenzo, M. M. & Nowe, A., Oct 2017, 2nd International Symposium on Fuzzy and Rough Sets. Editorial Feijoó, p. 1-10 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference paperResearch

  3. Exploring resistance pathways for first-generation NS3/4A protease inhibitors boceprevir and telaprevir using Bayesian network learning

    Cuypers, L., Libin, P., Schrooten, Y., Theys, K., Di Maio, V. C., Cento, V., Lunar, M. M., Nevens, F., Poljak, M., Ceccherini-Silberstein, F., Nowé, A., Van Laethem, K. & Vandamme, A-M., Sep 2017, In : Infection, Genetics and Evolution. 53, p. 15-23 9 p.

    Research output: Contribution to journalArticleResearchpeer-review

  4. MultiMAuS: a Multi-modal Authentication Simulator for Fraud Detection Research

    Zintgraf, L., Lopez-Rojas, E. A., Roijers, D. & Nowe, A., Sep 2017, 29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017. Longo, F., Affenzeller, M., Piera, M. A., Bruzzone, A. G. & Jimenez, E. (eds.). p. 360-369 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference paperResearch

  5. Hierarchical Reinforcement Learning on Robots

    Steckelmacher, D., Delvaux, S. & Nowe, A., 21 Aug 2017

    Research output: Non-textual formDigital or Visual ProductsResearch

  6. Socio-cognitively inspired ant colony optimization

    Byrski, A., Swiderska, E., Lasisz, J., Kisiel-Dorohinicki, M., Lenaerts, T., Samson, D., Indurkhya, B. & Nowe, A., Jul 2017, In : Journal of Computational Science. 21, p. 397-406 10 p.

    Research output: Contribution to journalArticleResearchpeer-review

  7. An Importance Sampling Approach to the Estimation of Algorithm Performance in Automated Algorithm Design

    Adriaensen, S., Moons, F. & Nowe, A., 19 Jun 2017, Learning and Intelligent Optimization - 11th International Conference, LION 11, Revised Selected Papers. Kvasov, D. E., Sergeyev, Y. D., Battiti, R., Battiti, R., Kvasov, D. E. & Sergeyev, Y. D. (eds.). Springer, p. 3-17 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10556 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference paperResearch

  8. Hierarchical Reinforcement Learning with Option Observation Initiation Sets

    Steckelmacher, D., Roijers, D., Harutyunyan, A., Vrancx, P. & Nowe, A., 8 Jun 2017.

    Research output: Unpublished contribution to conferencePosterResearch

  9. Efficient evaluation of influenza mitigation strategies using preventive bandits

    Libin, P., Verstraeten, T., Theys, K., Roijers, D., Vrancx, P. & Nowe, A., 9 May 2017, p. 67-85. 19 p.

    Research output: Unpublished contribution to conferenceOtherResearch

  10. Analysing Congestion Problems in Multi-agent Reinforcement Learning

    Radulescu, R., Vrancx, P. & Nowe, A., 8 May 2017, 16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017. Durfee, E., Winikoff, M., Larson, K. & Das, S. (eds.). Vol. 3. p. 1705-1707 3 p.

    Research output: Chapter in Book/Report/Conference proceedingConference paperResearch

  11. Analysing Congestion Problems in Multi-agent Reinforcement Learning

    Radulescu, R., Vrancx, P. & Nowe, A., 8 May 2017, Proceedings of the Adaptive and Learning Agents Workshop 2017 (ALA-17) at AAMAS. 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference paperResearch

Previous 12 3 4 5 6 7 8 9 ...40 Next

ID: 46958