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Holger H. Hoos

10 papers at tracked venues · 4 at CORE A* · active 2024–2026

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Venues

AAAI ×4ECML-PKDD ×3GECCO ×2WACV ×1

Frequent coauthors

Marie Anastacio
×3
Matthias König
×3
Jan N. van Rijn
×3
Anja Jankovic
×2
Roman Kalkreuth
×2
Mitra Baratchi
×2
Duy Long Tran
×1
Erfan Moeini
×1
Christopher Vox
×1
Wadie Skaf
×1
Henning Duwe
×1
Anna L. Münz
×1

Papers

  1. Improving Evaluation of Recombination-based Cartesian Genetic Programming
    GECCO 2026 ·
    Duy Long Tran
    ,
    Anja Jankovic
    ,
    Marie Anastacio
    , Holger H. Hoos,
    Roman Kalkreuth
  2. Neural Architecture and Hyperparameter Selection Through Meta-Learning on Time Series
    AAAI 2026 ·
    Erfan Moeini
    ,
    Christopher Vox
    ,
    Marie Anastacio
    ,
    Wadie Skaf
    ,
    Mitra Baratchi
    , Holger H. Hoos
  3. Towards Consistent and Efficient Decision-Based Attacks
    WACV 2026 ·
    Henning Duwe
    ,
    Anna L. Münz
    , Holger H. Hoos
  4. Dynamic Algorithm Termination for Branch-and-Bound-based Neural Network Verification
    AAAI 2025 ·
    Konstantin Kaulen
    ,
    Matthias König
    , Holger H. Hoos
  5. KernelMatmul: Scaling Gaussian Processes to Large Time Series
    AAAI 2025 ·
    Tilman Hoffbauer
    , Holger H. Hoos,
    Jakob Bossek
  6. Mitigating Representation Bias Caused by Missing Pixels in Methane Plume Detection
    ECML-PKDD 2025 ·
    Julia Wasala
    ,
    Joannes D. Maasakkers
    ,
    Ilse Aben
    ,
    Rochelle Schneider
    , Holger H. Hoos,
    Mitra Baratchi
  7. TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming
    GECCO 2025 ·
    Roman Kalkreuth
    ,
    Fabrício Olivetti de França
    ,
    Anja Jankovic
    ,
    Marie Anastacio
    ,
    Julian Dierkes
    ,
    Zdenek Vasícek
    , Holger H. Hoos
  8. Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing
    AAAI 2024 ·
    Matthias König
    , Holger H. Hoos,
    Jan N. van Rijn
  9. Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks
    ECML-PKDD 2024 ·
    Matthias König
    ,
    Xiyue Zhang
    , Holger H. Hoos,
    Marta Kwiatkowska
    ,
    Jan N. van Rijn
  10. Edge-Based Graph Component Pooling
    ECML-PKDD 2024 ·
    Thijs Snelleman
    ,
    Bram M. Renting
    , Holger H. Hoos,
    Jan N. van Rijn