Dania Humaidan

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Martin V. ButzProfessor of Cognitive Modeling, Computer Science, Psychology, Eberhard Karls Universität TübingenVerified email at uni-tuebingen.de
Sebastian OtteInstitute for Robotics and Cognitive SystemsVerified email at uni-luebeck.de
Tamim AlsulimanVerified email at chru-lille.fr
David BilkeyProfessor of Psychology, University of OtagoVerified email at otago.ac.nz
Volkhard HelmsSaarland University, Saarbruecken, GermanyVerified email at bioinformatik.uni-saarland.de
Frank BreinigUniversität des SaarlandesVerified email at microbiol.uni-sb.de
Charley M. WuHuman and Machine Cognition Lab, University of TübingenVerified email at uni-tuebingen.de
Jodie LobanaMcMaster UniversityVerified email at mcmaster.ca
Ulf ZiemannProfessor of Neurology, Eberhard-Karls University of TübingenVerified email at uni-tuebingen.de
Layth SLIMANUniversity Paris Pantheon-Assas- Efrei

Dania Humaidan

Neurology resident and postdoctoral researcher

Verified email at uni-tuebingen.de - Homepage

Cognitive Modeling Machine Learning Neural Networks Computational Neuroscience


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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	76	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	56	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
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
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
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		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		2021
AI Without Math: Making AI and ML Comprehensible R MCarl, J Lobana, H von Stackelberg, K Schell, B Leschchinskiy, ...		2019

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