| 2020 | AIED | The Potential for the Use of Deep Neural Networks in e-Learning Student Evaluation with New Data Augmentation Method. | Andrzej Cader |
| 2020 | ICAISC | Grid-Based Approach to Determining Parameters of the DBSCAN Algorithm. | Artur Starczewski, Andrzej Cader |
| 2019 | ICAISC | Modifications of the Givens Training Algorithm for Artificial Neural Networks. | Jaroslaw Bilski, Bartosz Kowalczyk, Andrzej Cader |
| 2019 | ICAISC | Resource-Aware Data Stream Mining Using the Restricted Boltzmann Machine. | Maciej Jaworski, Leszek Rutkowski, Piotr Duda, Andrzej Cader |
| 2019 | ICAISC | Determining the Eps Parameter of the DBSCAN Algorithm. | Artur Starczewski, Andrzej Cader |
| 2018 | ICAISC | Symbolic Regression with the AMSTA+GP in a Non-linear Modelling of Dynamic Objects. | Lukasz Bartczuk, Piotr Dziwiski, Andrzej Cader |
| 2018 | ICAISC | Outliers Detection in Regressions by Nonparametric Parzen Kernel Estimation. | Tomasz Galkowski, Andrzej Cader |
| 2018 | ICAISC | A Fuzzy Measure for Recognition of Handwritten Letter Strokes. | Michal R. Wrbel, Katarzyna Nieszporek, Janusz T. Starczewski, Andrzej Cader |
| 2012 | ICAISC | Enhanced Approach of Traffic Profiling for Dimensioning of Mobile Wireless Networks. | Mateusz Sztukowski, Henryk Maciejewski, Andrzej Cader |
| 2010 | ICAISC | Protrace: Effective Recursion Tracing and Debugging Library for Functional Programming Style in Common Lisp. | Konrad Grzanek, Andrzej Cader |
| 2006 | ICAISC | New Interpolation Method with Fractal Curves. | Andrzej Cader, Marcin Krupski |
| 2004 | ICAISC | Virtual Modeling and Optimal Design of Intelligent Micro-accelerometers. | Slawomir Wiak, Andrzej Cader, Pawel Drzymala, Henryk Welfle |