T. Peszek

On the learning of vague languages for syntactic pattern recognition

J. Jurek, M. Flasiński, T. Peszek, 2022, Pattern Analysis and Applications.

Time Series Prediction for Electric Power Industry with the Help of Syntactic Pattern Recognition

Mariusz Flasinski, Janusz Jurek, Tomasz Peszek, 2016, ICCVG.

Fuzzy Transducers as a Tool for Translating Noisy Data in Electrical Load Forecast System

Mariusz Flasinski, Janusz Jurek, Tomasz Peszek, 2015, PPAM.

Analysis of Fuzzy String Patterns with the Help of Syntactic Pattern Recognition

Mariusz Flasinski, Janusz Jurek, Tomasz Peszek, 2015, FQAS.

Application of Syntactic Pattern Recognition Methods for Electrical Load Forecasting

Mariusz Flasinski, Janusz Jurek, Tomasz Peszek, 2015, CORES.

Parallel Processing Model for Syntactic Pattern Recognition-Based Electrical Load Forecast

Mariusz Flasinski, Janusz Jurek, Tomasz Peszek, 2013, PPAM.

Model of Syntactic Recognition of Distorted String Patterns with the Help of GDPLL(k)-Based Automata

Janusz Jurek, Tomasz Peszek, J. Jurek, 2013, CORES.

Multi-Derivational Parsing of Vague Languages— The New Paradigm of Syntactic Pattern Recognition

J. Jurek, M. Flasiński, T. Peszek, 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Hybrid Learning Model for Syntactic Pattern Recognition

Mariusz Flasinski, Janusz Jurek, Tomasz Peszek, 2021, CORES/IP&C/ACS.