Michael Tangermann
Orcid: 0000-0001-6729-0290Affiliations:
- University of Freiburg, Department of Computer Science
- Berlin Institute of Technology, Machine Learning Department
- Fraunhofer FIRST, IDA group
- University of Tübingen, Department of Computer Engineering
According to our database1,
Michael Tangermann
authored at least 68 papers
between 2003 and 2024.
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Bibliography
2024
Synthesizing EEG Signals from Event-Related Potential Paradigms with Conditional Diffusion Models.
CoRR, 2024
CoRR, 2024
2023
Transfer Learning between Motor Imagery Datasets using Deep Learning - Validation of Framework and Comparison of Datasets.
CoRR, 2023
2022
Editorial: Brain-Computer Interfaces: Novel Applications and Interactive Technologies.
Frontiers Comput. Neurosci., 2022
Introducing Block-Toeplitz Covariance Matrices to Remaster Linear Discriminant Analysis for Event-related Potential Brain-computer Interfaces.
CoRR, 2022
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022
2021
Improving Covariance Matrices Derived from Tiny Training Datasets for the Classification of Event-Related Potentials with Linear Discriminant Analysis.
Neuroinformatics, 2021
Online Optimization of Stimulation Speed in an Auditory Brain-Computer Interface under Time Constraints.
CoRR, 2021
2020
Frontiers Robotics AI, 2020
2019
Rethinking BCI Paradigm and Machine Learning Algorithm as a Symbiosis: Zero Calibration, Guaranteed Convergence and High Decoding Performance.
Proceedings of the Brain-Computer Interface Research - A State-of-the-Art Summary 7, 2019
Characterizing Regularization Techniques for Spatial Filter Optimization in Oscillatory EEG Regression Problems - Guidelines Derived from Simulation and Real-World Data.
Neuroinformatics, 2019
Post-hoc Labeling of Arbitrary M/EEG Recordings for Data-Efficient Evaluation of Neural Decoding Methods.
Frontiers Neuroinformatics, 2019
Proceedings of the Robotics Research, 2019
Spatial filters for auditory evoked potentials transfer between different experimental conditions.
Proceedings of the 8th Graz Brain-Computer Interface Conference 2019, 2019
Proceedings of the 8th Graz Brain-Computer Interface Conference 2019, 2019
A Simulated Environment for Studying Partial observability in Novel adaptive Deep brain stimulation.
Proceedings of the 8th Graz Brain-Computer Interface Conference 2019, 2019
Extremely Reduced Data Sets Indicate Optimal Stimulation Parameters for Classification in Brain-Computer Interfaces.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Influence of User Tasks on EEG-based Classification Performance in a Hazard Detection Paradigm.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
A simulated environment for early development stages of reinforcement learning algorithms for closed-loop deep brain stimulation.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Method to assess the functional role of noisy brain signals by mining envelope dynamics.
CoRR, 2018
Unsupervised Learning for Brain-Computer Interfaces Based on Event-Related Potentials: Review and Online Comparison [Research Frontier].
IEEE Comput. Intell. Mag., 2018
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
2017
Post-hoc labeling of arbitrary EEG recordings for data-efficient evaluation of neural decoding methods.
CoRR, 2017
Deep learning with convolutional neural networks for brain mapping and decoding of movement-related information from the human EEG.
CoRR, 2017
Learning from Label Proportions in Brain-Computer Interfaces: Online Unsupervised Learning with Guarantees.
CoRR, 2017
Decoding Perceived Hazardousness from User's Brain States to Shape Human-Robot Interaction.
Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017
Tikhonov Regularization enhances EEG-based Spatial filtering for single-Trial Regression.
Proceedings of the From Vision to Reality, 2017
Proceedings of the From Vision to Reality, 2017
Mixing two Unsupervised estimators for Event-Related potential decoding: an Online Evaluation.
Proceedings of the From Vision to Reality, 2017
Challenging the Assumption that auditory Event-Related potentials are Independent and identically Distributed.
Proceedings of the From Vision to Reality, 2017
Proceedings of the From Vision to Reality, 2017
Proceedings of the From Vision to Reality, 2017
Closed-Loop Deep brain stimulation System for an animal Model of Parkinson's disease: a Pilot Study.
Proceedings of the From Vision to Reality, 2017
2015
Towards Noninvasive Hybrid Brain-Computer Interfaces: Framework, Practice, Clinical Application, and Beyond.
Proc. IEEE, 2015
Commonalities of Motor Performance Metrics are Revealed by Predictive Oscillatory EEG Components.
Proceedings of the 3rd International Congress on Neurotechnology, 2015
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Probing meaningfulness of oscillatory EEG components with bootstrapping, label noise and reduced training sets.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters.
NeuroImage, 2014
2013
Artif. Intell. Medicine, 2013
Artif. Intell. Medicine, 2013
Brain-computer interface controlled gaming: Evaluation of usability by severely motor restricted end-users.
Artif. Intell. Medicine, 2013
Proceedings of the International Winter Workshop on Brain-Computer Interface, 2013
2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Slow Feature Analysis - A Tool for Extraction of Discriminating Event-Related Potentials in Brain-Computer Interfaces.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Simulating the feel of brain-computer interfaces for design, development and social interaction.
Proceedings of the International Conference on Human Factors in Computing Systems, 2011
2008
Proceedings of the Computational Intelligence: Research Frontiers, 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
2007
Comput. Intell. Neurosci., 2007
2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Proceedings of the Pattern Recognition, 2006
2005
EURASIP J. Adv. Signal Process., 2005
Proceedings of the Machine Learning, 2005
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005
2004
The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials.
IEEE Trans. Biomed. Eng., 2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
2003
Towards the restoration of hand grasp function of quadriplegic patients based on an artificial neural net controller using peripheral nerve stimulation - an approach.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003