Study of Learning Entropy for onset detection of epileptic seizures in EEG time series. - Ivo Bukovsky; Matous Cejnek; Jan Vrba 001; Noriyasu Homma (IJCNN, 2016)

Feature selection via competitive levy flights. - Matej Mojzes; Martin Klimt; Jaromír Kukal; Ivo Bukovsky; Jan Vrba 001; Jan Pitel (IJCNN, 2016)

An Automated Platform for Microrobot Manipulation. - Jan Vrba 001; Charlie Maslen; Ivan Rehor; Jan Mares (SOCO, 2020)

Introduction to Extreme Seeking Entropy. - Jan Vrba 001; Jan Mares (Entropy, 2020)

A Machine Learning Approach for Gearbox System Fault Diagnosis. - Jan Vrba 001; Matous Cejnek; Jakub Steinbach; Zuzana Krbcova (Entropy, 2021)

An automated platform for assembling light-powered hydrogel microrobots and their subsequent chemical binding. - Jan Vrba 001; Charlie Maslen; Jana Maxová; Jan Duras; Ivan Rehor; Jan Mares (J. Comput. Sci., 2021)

Padasip: An open-source Python toolbox for adaptive filtering. - Matous Cejnek; Jan Vrba 001 (J. Comput. Sci., 2022)

Hydrogel Microrobots Self-Assembled into Ordered Structures with Programmable Actuation. - Jindrich Kropacek; Charlie Maslen; Bertjan van Dijk; Agustin Iniguez-Rabago; Johannes T. B. Overvelde; Alexandr Zubov; Jan Vrba 001; Petr Cigler; Frantisek Stepánek; Ivan Rehor (Adv. Intell. Syst., 2023)

Improving Voice Pathology Classification Using Artificial Data Generation. - Tomás Jirsa; Laura Verde; Fiammetta Marulli; Stefano Marrone 001; Jan Vrba 001 (KES, 2024)

Comparative Analysis of YOLO-based Models for Vocal Cord Segmentation in Laryngoscopic Images. - Jakub Steinbach; Jan Vrba 001; Tomás Jirsa; Matous Cejnek; Zuzana Urbániová (KES, 2024)

Application of Deep Learning Models for Vocal Cords Detection in Laryngoscopic Imagery. - Jan Vrba 001; Jakub Steinbach; Matous Cejnek; Tomás Jirsa; Zuzana Urbániová (KES, 2024)

Reproducible Machine Learning-based Voice Pathology Detection: Introducing the Pitch Difference Feature. - Jan Vrba 001; Jakub Steinbach; Tomás Jirsa; Laura Verde; Roberta De Fazio; Noriyasu Homma; Yuwen Zeng; Key Ichiji; Lukas Hajek; Zuzana Sedlakova; Jan Mares (CoRR, 2024)