| 2019 | HSI | Effective Training of RBF Networks. | Pawel Rzycki, Janusz Kolbusz, Aleksander Malinowski, Bogdan M. Wilamowski |
| 2019 | HSI | The Impact of Architecture on the Deep Neural Networks Training. | Pawel Rzycki, Janusz Kolbusz, Aleksander Malinowski, Bogdan M. Wilamowski |
| 2019 | ICAISC | Constructive Cascade Learning Algorithm for Fully Connected Networks. | Xing Wu, Pawel Rzycki, Janusz Kolbusz, Bogdan M. Wilamowski |
| 2018 | ICAISC | Neural Networks Saturation Reduction. | Janusz Kolbusz, Pawel Rzycki, Oleksandr Lysenko, Bogdan M. Wilamowski |
| 2018 | ICAISC | Soft Patterns Reduction for RBF Network Performance Improvement. | Pawel Rzycki, Janusz Kolbusz, Oleksandr Lysenko, Bogdan M. Wilamowski |
| 2018 | IECON | Implementation of Deep Neural Networks for Industry Applications. | Pawel Rzycki, Janusz Kolbusz, Grzegorz Krzos, Bogdan M. Wilamowski |
| 2017 | ICAISC | The Study of Architecture MLP with Linear Neurons in Order to Eliminate the "vanishing Gradient" Problem. | Janusz Kolbusz, Pawel Rzycki, Bogdan M. Wilamowski |
| 2017 | ICAISC | Improvement of RBF Training by Removing of Selected Pattern. | Pawel Rzycki, Janusz Kolbusz, Oleksandr Lysenko, Bogdan M. Wilamowski |
| 2016 | ICAISC | Estimation of Deep Neural Networks Capabilities Using Polynomial Approach. | Pawel Rzycki, Janusz Kolbusz, Roman Korostenskyi, Bogdan M. Wilamowski |
| 2016 | ICAISC | Single Layer Feedforward Networks Construction Based on Orthogonal Least Square and Particle Swarm Optimization. | Xing Wu, Pawel Rzycki, Bogdan M. Wilamowski |
| 2015 | ICAISC | Using Parity-N Problems as a Way to Compare Abilities of Shallow, Very Shallow and Very Deep Architectures. | Pawel Rzycki, Janusz Kolbusz, Tomasz Bartczak, Bogdan M. Wilamowski |