| Year |
Student |
Thesis | Supervisors | Programme | Content |
|---|
| 2026 | Arp, L. (Laurens) | The State of the Earth: Ill-Posed Estimation of Physical Parameters fr... | Baratchi, dr. M., Hoos, prof.dr. H.H., prof.dr. P.M. van Bodegom | PhD | |
| 2026 | Anastacio, M.I.A. (Marie) | Sampling Strategies in Automated Algorithm Configuration | Hoos, prof.dr. H.H., Bäck, prof.dr. T.H.W. | PhD | |
| 2025‑2026 | Rojas, P. (Pablo) | Unsupervised Adversarial Attack Detection via Student-Teacher-Based An... | Rijn van, dr. J.N., Hoos, prof.dr. H.H. | CS | |
| 2025 | Köning, H.M.T. (Matthias) | Automated Machine Learning for Neural Network Verification | Hoos, prof.dr. H.H., Rijn van, dr. J.N. | PhD | |
| 2025 | Renting, B.M. (Bram) | Learning in Automated Negotiation | Hoos, prof.dr. H.H., Jonker, prof.dr. C.M., Moerland, dr. T. | PhD | |
| 2025 | Vinkhuijzen, L.T. (Lieuwe) | Data Structures From Quantum Circuit Verification And How To Compare T... | Hoos, prof.dr. H.H., Laarman, dr. A.W., dr. T. Coopmans | PhD | |
| 2024‑2025 | Jiang, K. (Kaiteng) | Multimodal Self-supervised Music Genre Classification with Audio and L... | Hoos, prof.dr. H.H., dr. I. Vatolkin | CS | |
| 2024 | Wang, C. (Can) | Automated Machine Learning for Dynamic Energy Management using Time-Se... | Bäck, prof.dr. T.H.W., Hoos, prof.dr. H.H., Baratchi, dr. M. | PhD | |
| 2023‑2024 | Oberkofler, T.F. (Tobias) | On Adaptive Multi-Modal Trajectory Prediction | Baratchi, dr. M., dr. J. Alonso-Mora, Hoos, prof.dr. H.H. | CS | |
| 2023‑2024 | Shavit, H. (Hadar) | Algorithm Selection for SAT Using Graph Neural Networks | Marie Anastacio, Bram Renting, Hoos, prof.dr. H.H. | CS | |
| 2023‑2024 | Kareem, J. (Jasmin) | Per-instance Algorithm Selection for MIP-based Neural Network Verifica... | H.M.T. König MSc, Rijn van, dr. J.N., Hoos, prof.dr. H.H. | CS | |
| 2023‑2024 | Spek, C. (Corné) | Auto-Verify: A framework for portfolio-based neural network verificati... | H.M.T. König MSc, Rijn van, dr. J.N., Hoos, prof.dr. H.H. | CS | |
| 2023‑2024 | Collenburg, S. van (Sven) | Automated Machine Learning for Sea Ice Concentration Charting | Rijn van, dr. J.N., Hoos, prof.dr. H.H., A. Stokholm | Inf | |
| 2022‑2023 | Toussaint, G. | Content-agnostic cascade-wise ranking of Fake News on Online Social Me... | Rijn van, dr. J.N., Hoos, prof.dr. H.H., Takes, prof.dr. F.W. | CS | |
| 2022‑2023 | Vermeulen, S.C. (Sam) | Self-Monitoring Automated Algorithm Configuration | dr. K. van der Blom, Hoos, prof.dr. H.H. | Inf | |
| 2022 | Latour, A.L.D. (Anna) | Optimal Decision Making under Constraints and Uncertainity | Hoos, prof.dr. H.H., Kok, prof.dr. J.N., Nijssen, dr. S.G.R. | PhD | |
| 2021‑2022 | Zetten, van Wessel | Interpretable Machine Learning and Bias Detection for Machine Learning... | Ramackers, dr. G.J., Hoos, prof.dr. H.H. | IiB&PS | |
| 2021‑2022 | Schlender, T. | The Bigger Fish A comparison of state-of-the-art QSAR models on low re... | Rijn van, dr. J.N., Hoos, prof.dr. H.H. | CS | |
| 2021‑2022 | Snelleman, T. | Coronary Artery Extraction using Geometrical Deep Learning on Medical ... | Rijn van, dr. J.N., Hoos, prof.dr. H.H. | CS | |
| 2021‑2022 | Tetteroo, J. | Automated machine learning for COVID-19 forecasting | Baratchi, dr. M., Hoos, prof.dr. H.H. | CS | |
| 2020‑2021 | Arp, Laurens | A Markov Reward Process-Based Approach to Spatial Interpolation | Baratchi, dr. M., Hoos, prof.dr. H.H. | CS | |
| 2020‑2021 | Dong, Siyuan | Learning Transferable Architectures for Image Denoising | Rijn van, dr. J.N., Hoos, prof.dr. H.H. | CS | |
| 2020‑2021 | Ottervanger, Giles | MultiETSC: Automated Machine Learning for Early Time Series Classifica... | Baratchi, dr. M., Hoos, prof.dr. H.H. | CS | |
| 2020‑2021 | Rook, Jeroen | Caching in Model Counters: A Journey through Space and Time | Hoos, prof.dr. H.H., Nijssen, dr. S.G.R. | CS | |
| 2020‑2021 | Middelkoop, R. | Parallel algorithm portfolios in Sparkle | Blom, Hoos, prof.dr. H.H. | I&E | |
| 2019‑2020 | König, M. | Cascaded Fine-Tuning of Deep Convolutional Neural Networks for Age Est... | Hoos, prof.dr. H.H., Rijn van, dr. J.N. | CrIT | |
| 2019‑2020 | Fokkinga, Daniël | Programming a Stochastic Constraint Optimisation Algorithm, by Optimis... | Hoos, prof.dr. H.H., dr. A.L.D. Latour, M.I.A. Anastacio | CS | |
| 2019‑2020 | Avoird, S. (Stan) van der | Prediction and Technical Analysis of the Bitcoin Crypto Currency Using... | Rijn van, dr. J.N., Hoos, prof.dr. H.H. | Inf | |
| 2019‑2020 | Meijhuis, M.J. (Mark) | Using Machine Learning to Predict Price Trends in Foreign Exchange Rat... | Rijn van, dr. J.N., Hoos, prof.dr. H.H. | Inf | |
| 2018‑2019 | Engelen, Jesper van | Semi-supervised Ensemble Learning | Hoos, prof.dr. H.H., Leeuwen van, prof.dr. M. | CS | |
| 2018‑2019 | Schut, F.G.B. | Machine Learning and Technical Analysis for Foreign Exchange Data with... | Rijn van, dr. J.N., Hoos, prof.dr. H.H. | I&E | |
| 2017‑2018 | Ottervanger, Gilles B. | ACE: Academic Collaboration Explorer. An Author-centered View on Acade... | Hoos, prof.dr. H.H., M.I.A. Anastacio | I&E | |
| 2017‑2018 | Burggraaf, F (Florijn) | Predicting Scientific Impact | Hoos, prof.dr. H.H., dr. C. Luo | Inf | |