Systolic Architectures for Soft Computing Algorithms. - Jaroslaw Bilski; Jacek Smolag; Jacek M. Zurada (PPAM, 2003)

Momentum Modification of the RLS Algorithms. - Jaroslaw Bilski (ICAISC, 2004)

Parallel Realisation of QR Algorithm for Neural Networks Learning. - Jaroslaw Bilski; Slawomir Litwinski; Jacek Smolag (ICAISC, 2004)

Parallel Realisation of the Recurrent RTRN Neural Network Learning. - Jaroslaw Bilski; Jacek Smolag (ICAISC, 2008)

Parallel Realisation of the Recurrent Elman Neural Network Learning. - Jaroslaw Bilski; Jacek Smolag (ICAISC (2), 2010)

Parallel Realisation of the Recurrent Multi Layer Perceptron Learning. - Jaroslaw Bilski; Jacek Smolag (ICAISC (1), 2012)

Parallel Approach to Learning of the Recurrent Jordan Neural Network. - Jaroslaw Bilski; Jacek Smolag (ICAISC (1), 2013)

The Parallel Approach to the Conjugate Gradient Learning Algorithm for the Feedforward Neural Networks. - Jaroslaw Bilski; Jacek Smolag; Alexander I. Galushkin (ICAISC (1), 2014)

Parallel Approach to the Levenberg-Marquardt Learning Algorithm for Feedforward Neural Networks. - Jaroslaw Bilski; Jacek Smolag; Jacek M. Zurada (ICAISC (1), 2015)

Parallel Architectures for Learning the RTRN and Elman Dynamic Neural Networks. - Jaroslaw Bilski; Jacek Smolag (IEEE Trans. Parallel Distributed Syst., 2015)

A New Proposition of the Activation Function for Significant Improvement of Neural Networks Performance. - Jaroslaw Bilski; Alexander I. Galushkin (ICAISC (1), 2016)

Application of the Givens Rotations in the Neural Network Learning Algorithm. - Jaroslaw Bilski; Bartosz Kowalczyk; Jacek M. Zurada (ICAISC (1), 2016)

Parallel Learning of Feedforward Neural Networks Without Error Backpropagation. - Jaroslaw Bilski; Bogdan M. Wilamowski (ICAISC (1), 2016)

Parallel Implementation of the Givens Rotations in the Neural Network Learning Algorithm. - Jaroslaw Bilski; Bartosz Kowalczyk; Jacek M. Zurada (ICAISC (1), 2017)

Parallel Levenberg-Marquardt Algorithm Without Error Backpropagation. - Jaroslaw Bilski; Bogdan M. Wilamowski (ICAISC (1), 2017)

Parallel Realizations of the Iterative Statistical Reconstruction Algorithm for 3D Computed Tomography. - Robert Cierniak; Jaroslaw Bilski; Jacek Smolag; Piotr Pluta; Nimit Shah (ICAISC (1), 2017)

The Parallel Modification to the Levenberg-Marquardt Algorithm. - Jaroslaw Bilski; Bartosz Kowalczyk; Konrad Grzanek (ICAISC (1), 2018)

Modifications of the Givens Training Algorithm for Artificial Neural Networks. - Jaroslaw Bilski; Bartosz Kowalczyk; Andrzej Cader (ICAISC (1), 2019)

Realizations of the Statistical Reconstruction Method Based on the Continuous-to-Continuous Data Model. - Robert Cierniak; Jaroslaw Bilski; Piotr Pluta; Zbigniew Filutowicz (ICAISC (2), 2019)

A New Algorithm with a Line Search for Feedforward Neural Networks Training. - Jaroslaw Bilski; Bartosz Kowalczyk; Jacek M. Zurada (ICAISC (1), 2020)

Fast Conjugate Gradient Algorithm for Feedforward Neural Networks. - Jaroslaw Bilski; Jacek Smolag (ICAISC (1), 2020)

Local Levenberg-Marquardt Algorithm for Learning Feedforwad Neural Networks. - Jaroslaw Bilski; Bartosz Kowalczyk; Alina Marchlewska; Jacek M. Zurada (J. Artif. Intell. Soft Comput. Res., 2020)

A New Variant of the GQR Algorithm for Feedforward Neural Networks Training. - Jaroslaw Bilski; Bartosz Kowalczyk (ICAISC (1), 2021)

Modification of Learning Feedforward Neural Networks with the BP Method. - Jaroslaw Bilski; Jacek Smolag; Patryk Najgebauer (ICAISC (1), 2021)

A novel method for speed training acceleration of recurrent neural networks. - Jaroslaw Bilski; Leszek Rutkowski; Jacek Smolag; Dacheng Tao (Inf. Sci., 2021)

A Novel Fast Feedforward Neural Networks Training Algorithm. - Jaroslaw Bilski; Bartosz Kowalczyk; Andrzej Marjanski; Michal Gandor; Jacek M. Zurada (J. Artif. Intell. Soft Comput. Res., 2021)

A Fast Learning Algorithm for the Multi-layer Neural Network. - Jaroslaw Bilski; Bartosz Kowalczyk (ICAISC (1), 2022)

A New Computational Approach to the Levenberg-Marquardt Learning Algorithm. - Jaroslaw Bilski; Bartosz Kowalczyk; Jacek Smolag (ICAISC (1), 2022)

Towards a Very Fast Feedforward Multilayer Neural Networks Training Algorithm. - Jaroslaw Bilski; Bartosz Kowalczyk; Marek Kisiel-Dorohinicki; Agnieszka Siwocha; Jacek M. Zurada (J. Artif. Intell. Soft Comput. Res., 2022)

A Novel Approach to the GQR Algorithm for Neural Networks Training. - Jaroslaw Bilski; Bartosz Kowalczyk (ICAISC (1), 2023)

On Speeding up the Levenberg-Marquardt Learning Algorithm. - Jaroslaw Bilski; Bartosz Kowalczyk; Jacek Smolag (ICAISC (1), 2023)

Fast Computational Approach to the Levenberg-Marquardt Algorithm for Training Feedforward Neural Networks. - Jaroslaw Bilski; Jacek Smolag; Bartosz Kowalczyk; Konrad Grzanek; Ivan Izonin (J. Artif. Intell. Soft Comput. Res., 2023)

Practical Considerations in Implementing Neural Network Training with Vector Instructions. - Jaroslaw Bilski; Bartosz Kowalczyk (ICAISC (1), 2024)

Accelerating Neural Network Training with FSGQR: A Scalable and High-Performance Alternative to Adam. - Jaroslaw Bilski; Bartosz Kowalczyk; Ludmila Dymova; Min Xiao 001 (J. Artif. Intell. Soft Comput. Res., 2025)