Pawel Andrzej Herman

According to our database1, Pawel Andrzej Herman authored at least 21 papers between 2007 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Semi-supervised learning with Bayesian Confidence Propagation Neural Network.
CoRR, 2021

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

Automatic Particle Trajectory Classification in Plasma Simulations.
Proceedings of the 6th IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2020

Detection of Ischemic Infarct Core in Non-contrast Computed Tomography.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Learning representations in Bayesian Confidence Propagation neural networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Automated classification of plasma regions using 3D particle energy distribution.
CoRR, 2019

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

Sequence Disambiguation with Synaptic Traces in Associative Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Characterizing Deep-Learning I/O Workloads in TensorFlow.
Proceedings of the 3rd IEEE/ACM International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems, 2018

Pedestrian simulation as multi-objective reinforcement learning.
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

Odor recognition in an attractor network model of the mammalian olfactory cortex.
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

Computational Models of Modulation of Oscillatory Dynamics.
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.
NeuroImage, 2013

Theta and Gamma Power Increases and Alpha/Beta Power Decreases with Memory Load in an Attractor Network Model.
J. Cogn. Neurosci., 2011

Are You Really Looking? Finding the Answer through Fixation Patterns and EEG.
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

A comparison of fuzzy strategies for corporate acquisition analysis.
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