On the Use of Syntactic Pattern Recognition Methods, Neural Networks, and Fuzzy Systems for Short-Term Electrical Load Forecasting. - Janusz Jurek; Tomasz Peszek (CORES, 2005)

Model of Syntactic Recognition of Distorted String Patterns with the Help of GDPLL(k)-Based Automata. - Janusz Jurek; Tomasz Peszek (CORES, 2013)

Parallel Processing Model for Syntactic Pattern Recognition-Based Electrical Load Forecast. - Mariusz Flasinski; Janusz Jurek; Tomasz Peszek (PPAM (1), 2013)

Application of Syntactic Pattern Recognition Methods for Electrical Load Forecasting. - Mariusz Flasinski; Janusz Jurek; Tomasz Peszek (CORES, 2015)

Analysis of Fuzzy String Patterns with the Help of Syntactic Pattern Recognition. - Mariusz Flasinski; Janusz Jurek; Tomasz Peszek (FQAS, 2015)

Fuzzy Transducers as a Tool for Translating Noisy Data in Electrical Load Forecast System. - Mariusz Flasinski; Janusz Jurek; Tomasz Peszek (PPAM (1), 2015)

Time Series Prediction for Electric Power Industry with the Help of Syntactic Pattern Recognition. - Mariusz Flasinski; Janusz Jurek; Tomasz Peszek (ICCVG, 2016)

Hybrid Learning Model for Syntactic Pattern Recognition. - Mariusz Flasinski; Janusz Jurek; Tomasz Peszek (CORES/IP&C/ACS, 2021)

On the learning of vague languages for syntactic pattern recognition. - Mariusz Flasinski; Janusz Jurek; Tomasz Peszek (Pattern Anal. Appl., 2023)

Multi-Derivational Parsing of Vague Languages - The New Paradigm of Syntactic Pattern Recognition. - Mariusz Flasinski; Janusz Jurek; Tomasz Peszek (IEEE Trans. Pattern Anal. Mach. Intell., 2024)