Analog filter pair design on the basis of a gyrator-capacitor prototype circuit. - Andrzej Handkiewicz; Piotr Katarzynski; Szymon Szczesny; Jaroslaw Wencel; Pawel Sniatala (Int. J. Circuit Theory Appl., 2012)

Automated design of Switched Current Sigma-Delta Modulator with a new comparator structure. - Pawel Sniatala; Andrzej Handkiewicz; Mariusz Naumowicz; Szymon Szczesny; Michal Melosik; Piotr Katarzynski; Marek Kropidlowski (MIXDES, 2013)

Design automation of a lossless multiport network and its application to image filtering. - Andrzej Handkiewicz; Piotr Katarzynski; Szymon Szczesny; Mariusz Naumowicz; Michal Melosik; Pawel Sniatala; Marek Kropidlowski (Expert Syst. Appl., 2014)

SI-Studio, a layout generator of current mode circuits. - Andrzej Handkiewicz; Szymon Szczesny; Mariusz Naumowicz; Piotr Katarzynski; Michal Melosik; Pawel Sniatala; Marek Kropidlowski (Expert Syst. Appl., 2015)

Current-Mode FPAA with CMRR Elimination and Low Sensitivity to Mismatch. - Szymon Szczesny (Circuits Syst. Signal Process., 2017)

HDL-Based Synthesis System With Debugger for Current-Mode FPAA. - Szymon Szczesny (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Spiking Neural Network with Linear Computational Complexity for Waveform Analysis in Amperometry. - Szymon Szczesny; Damian Huderek; Lukasz Przyborowski (Sensors, 2021)

Exocytotic vesicle fusion classification for early disease diagnosis using a mobile GPU microsystem. - Szymon Szczesny; Pawel Pietrzak (Neural Comput. Appl., 2022)

Explainable spiking neural network for real time feature classification. - Szymon Szczesny; Damian Huderek; Lukasz Przyborowski (J. Exp. Theor. Artif. Intell., 2023)

Overview of Spiking Neural Network Learning Approaches and Their Computational Complexities. - Pawel Pietrzak; Szymon Szczesny; Damian Huderek; Lukasz Przyborowski (Sensors, 2023)

Sensor data analysis and development of machine learning models for detection of glaucoma. - Hubert Swierczynski; Juliusz Pukacki; Szymon Szczesny; Cezary Mazurek; Robert Wasilewicz (Biomed. Signal Process. Control., 2023)

A spiking neural network based on thalamo-cortical neurons for self-learning agent applications. - Damian Huderek; Szymon Szczesny; Pawel Pietrzak; Raul Rato; Lukasz Przyborowski (Int. J. Appl. Math. Comput. Sci., 2024)