Novel Algorithm for the On-Line Signature Verification. - Marcin Zalasinski; Krzysztof Cpalka (ICAISC (2), 2012)

A New Method for Designing and Complexity Reduction of Neuro-fuzzy Systems for Nonlinear Modelling. - Krystian Lapa; Marcin Zalasinski; Krzysztof Cpalka (ICAISC (1), 2013)

Novel Algorithm for the On-Line Signature Verification Using Selected Discretization Points Groups. - Marcin Zalasinski; Krzysztof Cpalka (ICAISC (1), 2013)

New Approach for the On-Line Signature Verification Based on Method of Horizontal Partitioning. - Marcin Zalasinski; Krzysztof Cpalka (ICAISC (2), 2013)

New Algorithm for Evolutionary Selection of the Dynamic Signature Global Features. - Marcin Zalasinski; Krystian Lapa; Krzysztof Cpalka (ICAISC (2), 2013)

New Method for Dynamic Signature Verification Using Hybrid Partitioning. - Marcin Zalasinski; Krzysztof Cpalka; Meng Joo Er (ICAISC (2), 2014)

New Method for Dynamic Signature Verification Based on Global Features. - Marcin Zalasinski; Krzysztof Cpalka; Yoichi Hayashi (ICAISC (2), 2014)

On-line signature verification using vertical signature partitioning. - Krzysztof Cpalka; Marcin Zalasinski (Expert Syst. Appl., 2014)

A new method for designing neuro-fuzzy systems for nonlinear modelling with interpretability aspects. - Krzysztof Cpalka; Krystian Lapa; Andrzej Przybyl; Marcin Zalasinski (Neurocomputing, 2014)

New method for the on-line signature verification based on horizontal partitioning. - Krzysztof Cpalka; Marcin Zalasinski; Leszek Rutkowski (Pattern Recognit., 2014)

A New Method for the Dynamic Signature Verification Based on the Stable Partitions of the Signature. - Marcin Zalasinski; Krzysztof Cpalka; Meng Joo Er (ICAISC, 2015)

New Fast Algorithm for the Dynamic Signature Verification Using Global Features Values. - Marcin Zalasinski; Krzysztof Cpalka; Yoichi Hayashi (ICAISC, 2015)

New Algorithm for On-line Signature Verification Using Characteristic Global Features. - Marcin Zalasinski (ISAT (4), 2015)

New Algorithm for On-line Signature Verification Using Characteristic Hybrid Partitions. - Marcin Zalasinski; Krzysztof Cpalka (ISAT (4), 2015)

A New Approach to the Dynamic Signature Verification Aimed at Minimizing the Number of Global Features. - Marcin Zalasinski; Krzysztof Cpalka; Yoichi Hayashi (ICAISC (2), 2016)

An Idea of the Dynamic Signature Verification Based on a Hybrid Approach. - Marcin Zalasinski; Krzysztof Cpalka; Elisabeth Rakus-Andersson (ICAISC (2), 2016)

Estimating CPU Features by Browser Fingerprinting. - Takamichi Saito; Koki Yasuda; Takayuki Ishikawa; Rio Hosoi; Kazushi Takahashi; Yongyan Chen; Marcin Zalasinski (IMIS, 2016)

A new algorithm for identity verification based on the analysis of a handwritten dynamic signature. - Krzysztof Cpalka; Marcin Zalasinski; Leszek Rutkowski (Appl. Soft Comput., 2016)

Stability Evaluation of the Dynamic Signature Partitions Over Time. - Marcin Zalasinski; Krzysztof Cpalka; Meng Joo Er (ICAISC (1), 2017)

A Method for Genetic Selection of the Most Characteristic Descriptors of the Dynamic Signature. - Marcin Zalasinski; Krzysztof Cpalka; Yoichi Hayashi (ICAISC (1), 2017)

A Method for Changes Prediction of the Dynamic Signature Global Features over Time. - Marcin Zalasinski; Krystian Lapa; Krzysztof Cpalka; Takamichi Saito (ICAISC (1), 2017)

A Method for Genetic Selection of the Dynamic Signature Global Features' Subset. - Marcin Zalasinski; Krzysztof Cpalka (ISAT (1), 2017)

Fuzzy-Genetic Approach to Identity Verification Using a Handwritten Signature. - Marcin Zalasinski; Krzysztof Cpalka; Leszek Rutkowski (Advances in Data Analysis with Computational Intelligence Methods, 2018)

Stability of Features Describing the Dynamic Signature Biometric Attribute. - Marcin Zalasinski; Krzysztof Cpalka; Konrad Grzanek (ICAISC (2), 2018)

Prediction of values of the dynamic signature features. - Marcin Zalasinski; Krystian Lapa; Krzysztof Cpalka (Expert Syst. Appl., 2018)

A new method for signature verification based on selection of the most important partitions of the dynamic signature. - Marcin Zalasinski; Krzysztof Cpalka (Neurocomputing, 2018)

The Method of Predicting Changes of a Dynamic Signature Using Possibilities of Population-Based Algorithms. - Marcin Zalasinski; Krystian Lapa; Krzysztof Cpalka; Alina Marchlewska (ICAISC (1), 2019)

Algorithm Based on Population With a Flexible Search Mechanism. - Krystian Lapa; Krzysztof Cpalka; Marcin Zalasinski (IEEE Access, 2019)

An interpretable fuzzy system in the on-line signature scalable verification. - Marcin Zalasinski; Krzysztof Cpalka; Krystian Lapa (FUZZ-IEEE, 2020)

Signature Partitioning Using Selected Population-Based Algorithms. - Marcin Zalasinski; Krzysztof Cpalka; Tacjana Niksa-Rynkiewicz; Yoichi Hayashi (ICAISC (1), 2020)

The Dynamic Signature Verification Using population-Based Vertical Partitioning. - Marcin Zalasinski; Krzysztof Cpalka; Tacjana Niksa-Rynkiewicz (ICONIP (1), 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)

Intelligent Approach to the Prediction of Changes in Biometric Attributes. - Marcin Zalasinski; Krystian Lapa; Magdalena Laskowska (IEEE Trans. Fuzzy Syst., 2020)

Dynamic Signature Vertical Partitioning Using Selected Population-Based Algorithms. - Marcin Zalasinski; Tacjana Niksa-Rynkiewicz; Krzysztof Cpalka (ICAISC (2), 2021)

Monitoring Regenerative Heat Exchanger in Steam Power Plant by Making Use of the Recurrent Neural Network. - Tacjana Niksa-Rynkiewicz; Natalia Szewczuk-Krypa; Anna Witkowska; Krzysztof Cpalka; Marcin Zalasinski; Andrzej Cader (J. Artif. Intell. Soft Comput. Res., 2021)

Dynamic Signature Verification Using Selected Regions. - Marcin Zalasinski; Piotr Duda; Stanislaw Lota; Krzysztof Cpalka (ICAISC (2), 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)

A New Method of Verification of Dynamic Signatures Changing over Time with Decomposition and Selection of Characteristic Descriptors. - Mateusz Mastalerczyk; Tomasz Szczepanik; Marcin Zalasinski (ICAISC (2), 2023)

PV Solar Power Forecasting Using a Subset of Characteristic Features Selected by AI Methods. - Tomasz Szczepanik; Marcin Zalasinski (ICAISC (3), 2024)

Evaluating Neural Network Models For Predicting Dynamic Signature Signals. - Marcin Zalasinski; Andrzej Cader; Zofia Patora-Wysocka; Min Xiao 001 (J. Artif. Intell. Soft Comput. Res., 2024)

A Machine Learning System for Energy Forecasting with Feature Importance Analysis. - Marcin Zalasinski; Tomasz Szczepanik; Piotr Dobosz (ICCS (Workshops 4), 2025)