Dania Humaidan
Dania Humaidan
Neurology resident and postdoctoral researcher
Verified email at - Homepage
Cited by
Cited by
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
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
Fostering Event Compression Using Gated Surprise
D Humaidan, S Otte, MV Butz
International Conference on Artificial Neural Networks (ICANN 2020) 12396 …, 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
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
Latent event-predictive encodings through counterfactual regularization
D Humaidan, S Otte, C Gumbsch, C Wu, MV Butz
arXiv preprint arXiv:2105.05894, 2021
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
Fostering event-predictive encodings in recurrent neural networks
D Humaidan
Universität Tübingen, 2022
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
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
AI Without Math: Making AI and ML Comprehensible
R MCarl, J Lobana, H von Stackelberg, K Schell, B Leschchinskiy, ...
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