| Machine learning and artificial intelligence in the service of medicine: Necessity or potentiality? T Alsuliman, D Humaidan, L Sliman Current research in translational medicine 68 (4), 245-251, 2020 | 98 | 2020 |
| Learning, planning, and control in a monolithic neural event inference architecture MV Butz, D Bilkey, D Humaidan, A Knott, S Otte Neural Networks 117, 135-144, 2019 | 57 | 2019 |
| Fostering Event Compression Using Gated Surprise D Humaidan, S Otte, MV Butz International Conference on Artificial Neural Networks (ICANN 2020) 12396 …, 2020 | 4 | 2020 |
| Inferring event-predictive goal-directed object manipulations in REPRISE MV Butz, T Menge, D Humaidan, S Otte Artificial Neural Networks and Machine Learning–ICANN 2019: Theoretical …, 2019 | 4 | 2019 |
| Adding phosphorylation events to the core oscillator driving the cell cycle of fission yeast D Humaidan, F Breinig, V Helms PloS one 13 (12), e0208515, 2018 | 3 | 2018 |
| Towards real-time EEG–TMS modulation of brain state in a closed-loop approach D Humaidan, J Xu, M Kirchhoff, GL Romani, RJ Ilmoniemi, U Ziemann Clinical Neurophysiology 158, 212-217, 2024 | 2 | 2024 |
| Reinforcement machine learning for closed-loop rTMS stimulation of brain networks D Humaidan, DE Vetter, J Metsomaa, M Ermolova, U Ziemann Brain Stimulation: Basic, Translational, and Clinical Research in …, 2021 | 1 | 2021 |
| Latent event-predictive encodings through counterfactual regularization D Humaidan, S Otte, C Gumbsch, C Wu, MV Butz arXiv preprint arXiv:2105.05894, 2021 | 1 | 2021 |
| Decoding Motor Excitability in TMS using EEG-Features: An Exploratory Machine Learning Approach L Haxel, P Belardinelli, M Ermolova, D Humaidan, JH Macke, U Ziemann bioRxiv, 2024.02. 27.582361, 2024 | | 2024 |
| Enhancing the connectivity in a 2-node motor network using reinforcement learning-based closed-loop rTMS D Humaidan Brain Stimulation: Basic, Translational, and Clinical Research in …, 2023 | | 2023 |
| Fostering event-predictive encodings in recurrent neural networks D Humaidan Universität Tübingen, 2022 | | 2022 |
| Introduction to medical data and big data exploitation in research: Errors, solutions and trends. T Alsuliman, D Humaidan, L Sliman, R Duléry Current Research in Translational Medicine 69 (4), 103310-103310, 2021 | | 2021 |
| AI Without Math: Making AI and ML Comprehensible R MCarl, J Lobana, H von Stackelberg, K Schell, B Leschchinskiy, ... | | 2019 |
Martin V. ButzProfessor of Cognitive Modeling, Computer Science, Psychology, Eberhard Karls Universität TübingenVerified email at uni-tuebingen.de
