A New Evaluation Method for E-Learning Systems. - Krzysztof Przybyszewski (ICAISC, 2006)

AI Methods for a Prediction of the Pedagogical Efficiency Factors for Classical and e-Learning System. - Krzysztof Przybyszewski (ICAISC (2), 2010)

Approval Voting as a Method of Prediction in Political Votings. Case of Polish Elections. - Krzysztof Przybyszewski; Honorata Sosnowska (Trans. Comput. Collect. Intell., 2016)

A Population Based Algorithm and Fuzzy Decision Trees for Nonlinear Modeling. - Piotr Dziwiñski; Lukasz Bartczuk; Krzysztof Przybyszewski (ICAISC (2), 2018)

Application of the Bag-of-Words Algorithm in Classification the Quality of Sales Leads. - Marcin Gabryel; Robertas Damasevicius; Krzysztof Przybyszewski (ICAISC (1), 2018)

Improvement of the Simplified Silhouette Validity Index. - Artur Starczewski; Krzysztof Przybyszewski (ICAISC (2), 2018)

Comparing Results of Voting by Statistical Rank Tests. - Krzysztof Przybyszewski; Honorata Sosnowska (Trans. Comput. Collect. Intell., 2018)

The Dynamically Modified BoW Algorithm Used in Assessing Clicks in Online Ads. - Marcin Gabryel; Krzysztof Przybyszewski (ICAISC (2), 2019)

A New Concept of Nonparametric Kernel Approach for Edge Detection. - Tomasz Galkowski; Krzysztof Przybyszewski (ICAISC (2), 2019)

Methods of Searching for Similar Device Fingerprints Using Changes in Unstable Parameters. - Marcin Gabryel; Krzysztof Przybyszewski (ICAISC (2), 2020)

A Novel Drift Detection Algorithm Based on Features' Importance Analysis in a Data Streams Environment. - Piotr Duda; Krzysztof Przybyszewski; Lipo Wang (J. Artif. Intell. Soft Comput. Res., 2020)

An Algorithm for the Evolutionary-Fuzzy Generation of on-Line Signature Hybrid Descriptors. - Marcin Zalasinski; Krzysztof Cpalka; Lukasz Laskowski; Donald C. Wunsch; Krzysztof Przybyszewski (J. Artif. Intell. Soft Comput. Res., 2020)

On-Line Signature Partitioning Using a Population Based Algorithm. - Marcin Zalasinski; Krystian Lapa; Krzysztof Cpalka; Krzysztof Przybyszewski; Gary G. Yen (J. Artif. Intell. Soft Comput. Res., 2020)

An Approach to Generalization of the Intuitionistic Fuzzy Topsis Method in the Framework of Evidence Theory. - Ludmila Dymova; Krzysztof Kaczmarek; Pavel V. Sevastjanov; Lukasz Sulkowski; Krzysztof Przybyszewski (J. Artif. Intell. Soft Comput. Res., 2021)

A Novel Approach to Type-Reduction and Design of Interval Type-2 Fuzzy Logic Systems. - Janusz T. Starczewski; Krzysztof Przybyszewski; Aleksander Byrski; Eulalia Szmidt; Christian Napoli 001 (J. Artif. Intell. Soft Comput. Res., 2022)

Evolutionary Algorithm for Selecting Dynamic Signatures Partitioning Approach. - Marcin Zalasinski; Lukasz Laskowski; Tacjana Niksa-Rynkiewicz; Krzysztof Cpalka; Aleksander Byrski; Krzysztof Przybyszewski; Pawel Trippner; Shi Dong 001 (J. Artif. Intell. Soft Comput. Res., 2022)

The human factor in cybersecurity: from risk profiles to resilience. - Zofia Przymus; Karolina Malagocka; Krzysztof Przybyszewski (KES, 2024)

Exponential State Estimation for Delayed Competitive Neural Network Via Stochastic Sampled-Data Control with Markov Jump Parameters Under Actuator Failure. - Yang Cao 003; Subhashri Alwarappan Ravisankar; A. Chandrasekar 001; Thirunavukkarasu Radhika; Krzysztof Przybyszewski (J. Artif. Intell. Soft Comput. Res., 2024)