Support Vector-Enhanced Design of a T2FL Approach to Motor Imagery-Related EEG Pattern Recognition. - Pawel Andrzej Herman; Girijesh Prasad; T. Martin McGinnity (FUZZ-IEEE, 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)

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 (SMC, 2008)

Are You Really Looking? Finding the Answer through Fixation Patterns and EEG. - Anne-Marie Brouwer; Maarten A. Hogervorst; Pawel Andrzej Herman; Frank Kooi (HCI (16), 2009)

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)

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)

Computational Models of Modulation of Oscillatory Dynamics. - Pawel Andrzej Herman (Encyclopedia of Computational Neuroscience, 2014)

Evaluating Categorisation in Real Life - An Argument Against Simple but Impractical Metrics. - Vide Karlsson; Pawel Andrzej Herman; Jussi Karlgren (CLEF, 2016)

Odor recognition in an attractor network model of the mammalian olfactory cortex. - Pawel Andrzej Herman; Simon Benjaminsson; Anders Lansner (IJCNN, 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)

Pedestrian simulation as multi-objective reinforcement learning. - Naresh Balaji Ravichandran; Fangkai Yang; Christopher Peters 001; Anders Lansner; Pawel Andrzej Herman (IVA, 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 (PDSW-DISCS@SC, 2018)

Sequence Disambiguation with Synaptic Traces in Associative Neural Networks. - Ramon H. Martinez; Oskar Kviman; Anders Lansner; Pawel Andrzej Herman (ICANN (1), 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 (ISICDM, 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)

Learning representations in Bayesian Confidence Propagation neural networks. - Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman (IJCNN, 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 (MLMI@MICCAI, 2020)

Automatic Particle Trajectory Classification in Plasma Simulations. - Stefano Markidis; Ivy Bo Peng; Artur Podobas; Itthinat Jongsuebchoke; Gabriel Bengtsson; Pawel Andrzej Herman (MLHPC/AI4S@SC, 2020)

Semi-supervised learning with Bayesian Confidence Propagation Neural Network. - Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman (ESANN, 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 (HEART, 2021)

Brain-Like Approaches to Unsupervised Learning of Hidden Representations - A Comparative Study. - Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman (ICANN (5), 2021)

Incremental Attractor Neural Network Modelling of the Lifespan Retrieval Curve. - Patrícia Pereira; Anders Lansner; Pawel Andrzej Herman (IJCNN, 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 (LOD (2), 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 (PDP, 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)

Spiking neural networks with Hebbian plasticity for unsupervised representation learning. - Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman (ESANN, 2023)

Hebbian fast plasticity and working memory. - Anders Lansner; Florian Fiebig; Pawel Andrzej Herman (CoRR, 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)

Beyond Gut Feel: Using Time Series Transformers to Find Investment Gems. - Lele Cao; Gustaf Halvardsson; Andrew McCornack; Vilhelm von Ehrenheim; Pawel Andrzej Herman (ICANN (9), 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 002; Pawel Andrzej Herman; Mats Nordahl; Ruibo Tu; Vilhelm von Ehrenheim (KDD, 2024)

Benchmarking Hebbian learning rules for associative memory. - Anders Lansner; Naresh Balaji Ravichandran; Pawel Andrzej Herman (CoRR, 2024)

Spiking representation learning for associative memories. - Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman (CoRR, 2024)

A Rose by Another Name? Odor Misnaming is Associated with Linguistic Properties. - Thomas Hörberg; Murathan Kurfali; Maria Larsson; Erika J. Laukka; Pawel Andrzej Herman; Jonas K. Olofsson (Cogn. Sci., 2024)

A Reconfigurable Stream-Based FPGA Accelerator for Bayesian Confidence Propagation Neural Networks. - Muhammad Ihsan Al Hafiz; Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman; Artur Podobas (ARC, 2025)

Unsupervised representation learning with Hebbian synaptic and structural plasticity in brain-like feedforward neural networks. - Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman (Neurocomputing, 2025)

Embedded FPGA Acceleration of Brain-Like Neural Networks: Online Learning to Scalable Inference. - Muhammad Ihsan Al Hafiz; Naresh Balaji Ravichandran; Anders Lansner; Pawel Andrzej Herman; Artur Podobas (CoRR, 2025)