Pawel Andrzej Herman

According to our database, Pawel Andrzej Herman authored at least 33 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unsupervised representation learning with Hebbian synaptic and structural plasticity in brain-like feedforward neural networks.

Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman

CoRR, 2024

Spiking representation learning for associative memories.

Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman

CoRR, 2024

Benchmarking Hebbian learning rules for associative memory.

Anders Lansner, Naresh Balaji Ravichandran, Pawel Andrzej Herman

CoRR, 2024

Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask.

Zineb Senane, Lele Cao, Valentin Leonhard Buchner, Yusuke Tashiro, Lei You, Pawel Andrzej Herman, Mats Nordahl, Ruibo Tu, Vilhelm von Ehrenheim

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Beyond Gut Feel: Using Time Series Transformers to Find Investment Gems.

Lele Cao, Gustaf Halvardsson, Andrew McCornack, Vilhelm von Ehrenheim, Pawel Andrzej Herman

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

Sourcing Investment Targets for Venture and Growth Capital Using Multivariate Time Series Transformer.

Lele Cao, Gustaf Halvardsson, Andrew McCornack, Vilhelm von Ehrenheim, Pawel Andrzej Herman

CoRR, 2023

Hebbian fast plasticity and working memory.

Anders Lansner, Florian Fiebig, Pawel Andrzej Herman

CoRR, 2023

Spiking neural networks with Hebbian plasticity for unsupervised representation learning.

Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022

A Long Short-term Memory Based Recurrent Neural Network for Interventional MRI Reconstruction.

Ruiyang Zhao, Zhao He, Tao Wang, Suhao Qiu, Pawel Andrzej Herman, Yanle Hu, Chencheng Zhang, Dinggang Shen, Bomin Sun, Guang-Zhong Yang, Yuan Feng

CoRR, 2022

NoaSci: A Numerical Object Array Library for I/O of Scientific Applications on Object Storage.

Steven Wei Der Chien, Artur Podobas, Martin Svedin, Andriy Tkachuk, Salem El Sayed, Pawel Andrzej Herman, Ganesan Umanesan, Sai Narasimhamurthy, Stefano Markidis

Proceedings of the 30th Euromicro International Conference on Parallel, 2022

Brain-like Combination of Feedforward and Recurrent Network Components Achieves Prototype Extraction and Robust Pattern Recognition.

Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

Incremental Attractor Neural Network Modelling of the Lifespan Retrieval Curve.

Patrícia Pereira, Anders Lansner, Pawel Andrzej Herman

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Brain-Like Approaches to Unsupervised Learning of Hidden Representations - A Comparative Study.

Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman

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.

Artur Podobas, Martin Svedin, Steven Wei Der Chien, Ivy Bo Peng, Naresh Balaji Ravichandran, Pawel Andrzej Herman, Anders Lansner, Stefano Markidis

Proceedings of the HEART '21: 11th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, 2021

Semi-supervised learning with Bayesian Confidence Propagation Neural Network.

Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

Automatic Particle Trajectory Classification in Plasma Simulations.

Stefano Markidis, Ivy Bo Peng, Artur Podobas, Itthinat Jongsuebchoke, Gabriel Bengtsson, Pawel Andrzej Herman

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.

Maximilian Hornung, Oliver Taubmann, Hendrik Ditt, Björn H. Menze, Pawel Andrzej Herman, Erik Fransén

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Learning representations in Bayesian Confidence Propagation neural networks.

Naresh Balaji Ravichandran, Anders Lansner, Pawel Andrzej Herman

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

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

Vyacheslav Olshevsky, Yuri V. Khotyaintsev, Andrey Divin, Gian Luca Delzanno, Sven Anderzen, Pawel Andrzej Herman, Steven Wei Der Chien, Levon Avanov, Stefano Markidis

CoRR, 2019

Post-Operative Electrode Placement Prediction in Deep Brain Stimulation Using Support Vector Regression.

Alexa Singer, Chencheng Zhang, Tao Wang, Suhao Qiu, Dianyou Li, Yiping P. Du, Zhi-Pei Liang, Pawel Andrzej Herman, Bomin Sun, Yuan Feng

Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

Sequence Disambiguation with Synaptic Traces in Associative Neural Networks.

Ramon H. Martinez, Oskar Kviman, Anders Lansner, Pawel Andrzej Herman

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2018

Characterizing Deep-Learning I/O Workloads in TensorFlow.

Steven Wei Der Chien, Stefano Markidis, Chaitanya Prasad Sishtla, Luís Santos, Pawel Andrzej Herman, Sai Narasimhamurthy, Erwin Laure

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.

Naresh Balaji Ravichandran, Fangkai Yang, Christopher E. Peters, Anders Lansner, Pawel Andrzej Herman

Proceedings of the 18th International Conference on Intelligent Virtual Agents, 2018

2017

Designing an Interval Type-2 Fuzzy Logic System for Handling Uncertainty Effects in Brain-Computer Interface Classification of Motor Imagery Induced EEG Patterns.

Pawel Andrzej Herman, Girijesh Prasad, Thomas Martin McGinnity

IEEE Trans. Fuzzy Syst., 2017

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

Pawel Andrzej Herman, Simon Benjaminsson, Anders Lansner

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Evaluating Categorisation in Real Life - An Argument Against Simple but Impractical Metrics.

Vide Karlsson, Pawel Andrzej Herman, Jussi Karlgren

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2016

2014

Computational Models of Modulation of Oscillatory Dynamics.

Pawel Andrzej Herman

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

2013

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.

Mikael Lundqvist, Pawel Andrzej Herman, J. Matias Palva, Satu Palva, David Silverstein, Anders Lansner

NeuroImage, 2013

2011

Theta and Gamma Power Increases and Alpha/Beta Power Decreases with Memory Load in an Attractor Network Model.

Mikael Lundqvist, Pawel Andrzej Herman, Anders Lansner

J. Cogn. Neurosci., 2011

2009

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

Anne-Marie Brouwer, Maarten A. Hogervorst, Pawel Andrzej Herman, Frank Kooi

Proceedings of the Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience, 2009

2008

Designing a robust type-2 fuzzy logic classifier for non-stationary systems with application in brain-computer interfacing.

Pawel Andrzej Herman, Girijesh Prasad, Thomas Martin McGinnity

Proceedings of the IEEE International Conference on Systems, 2008

2007

A comparison of fuzzy strategies for corporate acquisition analysis.

Cornelius Glackin, Liam P. Maguire, Ronan T. McIvor, Paul K. Humphreys, Pawel Andrzej Herman

Fuzzy Sets Syst., 2007

Support Vector-Enhanced Design of a T2FL Approach to Motor Imagery-Related EEG Pattern Recognition.

Pawel Andrzej Herman, Girijesh Prasad, T. Martin McGinnity

Proceedings of the FUZZ-IEEE 2007, 2007