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

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)

Predicting Success of Bank Direct Marketing by Neuro-fuzzy Systems. - Magdalena Scherer; Jacek Smolag; Adam Gaweda (ICAISC (2), 2016)

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)

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

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

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)

A Comprehensive Survey of Retrieval-Augmented Large Language Models for Decision Making in Agriculture: Unsolved Problems and Research Opportunities. - Artem Vizniuk; Grygorii Diachenko; Ivan Laktionov; Agnieszka Siwocha; Min Xiao 001; Jacek Smolag (J. Artif. Intell. Soft Comput. Res., 2025)