Pawel Andrzej Herman
According to our database1, Pawel Andrzej Herman authored at least 21 papers between 2007 and 2021.
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Brain-Like Approaches to Unsupervised Learning of Hidden Representations - A Comparative Study.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAs.
Proceedings of the HEART '21: 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, 2021
Proceedings of the 6th IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Post-Operative Electrode Placement Prediction in Deep Brain Stimulation Using Support Vector Regression.
Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019
Proceedings of the 3rd IEEE/ACM International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems, 2018
Proceedings of the 18th International Conference on Intelligent Virtual Agents, 2018
Designing an Interval Type-2 Fuzzy Logic System for Handling Uncertainty Effects in Brain-Computer Interface Classification of Motor Imagery Induced EEG Patterns.
IEEE Trans. Fuzzy Syst., 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Evaluating Categorisation in Real Life - An Argument Against Simple but Impractical Metrics.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2016
Proceedings of the Encyclopedia of Computational Neuroscience, 2014
Stimulus detection rate and latency, firing rates and 1-40 Hz oscillatory power are modulated by infra-slow fluctuations in a bistable attractor network model.
Theta and Gamma Power Increases and Alpha/Beta Power Decreases with Memory Load in an Attractor Network Model.
J. Cogn. Neurosci., 2011
Proceedings of the Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience, 2009
Designing a robust type-2 fuzzy logic classifier for non-stationary systems with application in brain-computer interfacing.
Proceedings of the IEEE International Conference on Systems, 2008
Fuzzy Sets Syst., 2007
Support Vector-Enhanced Design of a T2FL Approach to Motor Imagery-Related EEG Pattern Recognition.
Proceedings of the FUZZ-IEEE 2007, 2007