Heinke Hihn

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	Toate	Din 2020
Referințe bibliografice	130	115
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Daniel Alexander BraunProfessor, Ulm UniversityAdresă de e-mail confirmată pe uni-ulm.de
Friedhelm SchwenkerUlm University, Institute of Neural Information ProcessingAdresă de e-mail confirmată pe uni-ulm.de
Sebastian GottwaldPostDoc, Institute of Neural Information Processing, University of UlmAdresă de e-mail confirmată pe uni-ulm.de
Hans A. KestlerProfessor, Institute of Medical Systems Biology, Ulm UniversityAdresă de e-mail confirmată pe uni-ulm.de
Patrick ThiamInstitute of Neural Information Processing, Ulm University, GermanyAdresă de e-mail confirmată pe uni-ulm.de
sascha meudtulm universityAdresă de e-mail confirmată pe uni-ulm.de
Peter BellmannInstitute of Medical Systems Biology & Institute of Neural Information Processing, Ulm UniversityAdresă de e-mail confirmată pe uni-ulm.de

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Heinke Hihn

Ulm University, Institute for Neural Information Processing

Adresă de e-mail confirmată pe uni-ulm.de - Pagina de pornire

Machine Learning Reinforcement Learning


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Multi-modal pain intensity assessment based on physiological signals: A deep learning perspective P Thiam, H Hihn, DA Braun, HA Kestler, F Schwenker Frontiers in Physiology 12, 720464, 2021	41	2021
Specialization in hierarchical learning systems: A unified information-theoretic approach for supervised, unsupervised and reinforcement learning H Hihn, DA Braun Neural Processing Letters 52 (3), 2319-2352, 2020	20	2020
An information-theoretic on-line learning principle for specialization in hierarchical decision-making systems H Hihn, S Gottwald, DA Braun 2019 IEEE 58th conference on decision and control (CDC), 3677-3684, 2019	17	2019
Bounded rational decision-making with adaptive neural network priors H Hihn, S Gottwald, DA Braun Artificial Neural Networks in Pattern Recognition: 8th IAPR TC3 Workshop …, 2018	11	2018
Inferring mental overload based on postural behavior and gestures H Hihn, S Meudt, F Schwenker Proceedings of the 2nd workshop on emotion representations and modelling for …, 2016	10	2016
Hierarchically structured task-agnostic continual learning H Hihn, DA Braun Machine Learning 112 (2), 655-686, 2023	9	2023
Mixture-of-Variational-Experts for Continual Learning H Hihn, DA Braun ICLR 2022 Workshop on Agent Learning in Open-Endedness, 2021	6	2021
Hierarchical expert networks for meta-learning H Hihn, DA Braun ICML 2020 Workshop on Lifelong Machine Learning, 2019	6	2019
Binary classification: counterbalancing class imbalance by applying regression models in combination with one-sided label shifts P Bellmann, H Hihn, DA Braun, F Schwenker Proceedings of the 13th International Conference on Agents and Artificial …, 2020	4	2020
On gestures and postural behavior as a modality in ensemble methods H Hihn, S Meudt, F Schwenker Artificial Neural Networks in Pattern Recognition: 7th IAPR TC3 Workshop …, 2016	4	2016
Online continual learning through unsupervised mutual information maximization H Hihn, DA Braun Neurocomputing 578, 127422, 2024	2	2024
Adaptive learning models for information-efficient lifelong machine learning H Hihn Universität Ulm, 2025		2025

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