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Dominik Grimm

Prof. Dr.

 https://orcid.org/0000-0003-2085-4591
20112025

Publikationen pro Jahr

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  • 2024

    Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural Combinatorial Optimization

    Pirnay, J. & Grimm, D. G., 16 Okt. 2024, ECAI 2024 - 27th European Conference on Artificial Intelligence, Including 13th Conference on Prestigious Applications of Intelligent Systems, PAIS 2024, Proceedings. Endriss, U., Melo, F. S., Bach, K., Bugarin-Diz, A., Alonso-Moral, J. M., Barro, S. & Heintz, F. (Hrsg.). IOS Press BV, S. 1927-1934 8 S. (Frontiers in Artificial Intelligence and Applications; Band 392).

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

    Open Access
  • 2022

    Dynamically Self-adjusting Gaussian Processes for Data Stream Modelling

    Hüwel, J. D., Haselbeck, F., Grimm, D. G. & Beecks, C., 2022, KI 2022: Advances in Artificial Intelligence - 45th German Conference on AI, Proceedings. Bergmann, R., Malburg, L., Rodermund, S. C. & Timm, I. J. (Hrsg.). Springer Science and Business Media Deutschland GmbH, S. 96-114 19 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 13404 LNAI).

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

    Open Access
    4 Zitate (Scopus)
  • 2021

    EVARS-GPR: EVent-Triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data

    Haselbeck, F. & Grimm, D. G., 2021, KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Proceedings. Edelkamp, S., Möller, R. & Rueckert, E. (Hrsg.). Springer Science and Business Media Deutschland GmbH, S. 135-157 23 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 12873 LNAI).

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

    3 Zitate (Scopus)
  • 2014

    Multi-task feature selection on multiple networks via maximum flows

    Sugiyama, M., Azencott, C. A., Grimm, D., Kawahara, Y. & Borgwardt, K. M., 2014, SIAM International Conference on Data Mining 2014, SDM 2014. Zaki, M. J., Banerjee, A., Parthasarathy, S., Ning-Tan, P., Obradovic, Z. & Kamath, C. (Hrsg.). Society for Industrial and Applied Mathematics Publications, S. 199-207 9 S. (SIAM International Conference on Data Mining 2014, SDM 2014; Band 1).

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

    10 Zitate (Scopus)
  • 2013

    Geometric tree kernels: Classification of COPD from airway tree geometry

    Feragen, A., Petersen, J., Grimm, D., Dirksen, A., Pedersen, J. H., Borgwardt, K. & De Bruijne, M., 2013, Information Processing in Medical Imaging - 23rd International Conference, IPMI 2013, Proceedings. S. 171-183 13 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 7917 LNCS).

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

    Open Access
    12 Zitate (Scopus)
  • 2011

    Computational inference of difficult word boundaries in DNA languages

    Tsafnat, G., Setzermann, P., Partridge, S. R. & Grimm, D., 2011, Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL'11. (ACM International Conference Proceeding Series).

    Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

    3 Zitate (Scopus)