Vrba, J.; Steinbach, J.; Jirsa, T.; Urbániová, Z.
Towards a Digital Twin for Voice Pathology: Analyzing Microphone Effects on Acoustic Feature Extraction
Procedia Computer Science, 2025.
Urbániová, Z.; Verešpejová, Ľ.; Kulkovská, D.; Steinbach, J.; Jirsa, T.; Vrba, J.; Chovanec, M.
Optimizing voice analysis for pathology detection: challenges in data processing
Otorinolaryngologie a foniatrie, 2025.
Vrba, J.; et al.
Reproducible Machine Learning-based Voice Pathology Detection: Introducing the Pitch Difference Feature
Journal of Voice, 2025.
Zeng.T; et al.
Bilateral Information-Guided Diagnosis of Breast Masses in Mammography Using Vision Transformer
IEEE Journal of Biomedical and Health Informatics, 2025.
Jirsa, T.; Janstová, D.; Tomeš, J.; Vrba, J.; Setnička, V.; Mareš, J.
Advancements in Automatization for In Vivo Raman Spectroscopy
International Conference on Applied Electronics (AE), 2024.
Steinbach, J.; Seiner, J.; Vrba, J.
Pipeline Leakage Detection via Extreme Seeking Entropy
Software Engineering Methods in Systems and Network Systems, Springer, 2024.
Steinbach, J.; Urbániová, Z.; Vrba, J.
Vocal Folds Image Segmentation Based on YOLO Network
Software Engineering Methods in Systems and Network Systems, Springer, 2024.
Steinbach, J.; Vrba, J.; Jirsa, T.; Cejnek, M.; Urbániová, Z.
Comparative Analysis of YOLO-based Models for Vocal Cord Segmentation in Laryngoscopic Images
Procedia Computer Science, 2024.
Vrba, J.; Steinbach, J.; Cejnek, M.; Jirsa, T.; Urbániová, Z.
Application of Deep Learning Models for Vocal Cords Detection in Laryngoscopic Imagery
Procedia Computer Science, 2024.
Cejnek, M.; Vrba, J.; Jura, J.; Trnka, P.; Zelený, L.
Comparative Analysis of Popular CNN Based Deep Learning Models for Tree Trunk Detection in Orchards
Neural Network World, 2024.
Jirsa, T.; Verde, L.; Marulli, F.; Marrone, S.; Vrba, J.
Improving Voice Pathology Classification Using Artificial Data Generation
Procedia Computer Science, 2024.
Kropáček, J.; et al.
Hydrogel Microrobots Self-Assembled into Ordered Structures with Programmable Actuation
Advanced Intelligent Systems, 2023.
Steinbach, J.; Vrba, J.; Urbániová. Z
Voice Recording Setup in Clinical Practice
Software Engineering Application in Systems Design, Springer, 2023.
Steinbach, J.;Mazúr. R; Vrba, J..
Trends in Voice Recording Classification: Comparison of Conventional Features and Image Analysis Approach
Data Science and Algorithms in Systems, Springer, 2023.
Cejnek, M.; Vrba, J.
Padasip: An open-source Python toolbox for adaptive filtering
Journal of Computational Science, 2022.
Steinbach.K.; Vrba, J.
Adaptive Filters Detection of State Change in Pseudomonas Putida Cultivation
Cybernetics Perspectives in Systems, 2022.
Bárotáv.D; Kukal.J; Mareš.J; Vrba.J.
Envelope Time as Measure of Control Quality
23rd International Conference on Process Control (PC), 2021.
Steinbach, J.; Vrba, J.
Computational Time Evaluation of the Various Methods of Parameter Estimation for Pareto Distribution
Data Science and Intelligent Systems, Springer, 2021.
Vrba.J.; Maslen.Ch.; Maxova.J.; Duras.J.; Rehor.I.; Mares.J.
An Automated Platform for Assembling Light-Powered Hydrogel Microrobots and Their Subsequent Chemical Binding
Journal of Computational Science, 2021.
Vrba, J.; Cejnek.M.; Steinbach.J.; Krbocova.Z.
A Machine Learning Approach for Gearbox System Fault Diagnosis
Entropy, 2021.
Cejnek, M.; Vrba, J.
Online centered NLMS algorithm for concept drift compensation
Neural Network World, 2021.
Vrba, J.; Maslen.Ch.; Rehr.I.; Mares.J.
An Automated Platform for Microrobot Manipulation
15th International Conference on Soft Computing Models in Industrial and Environmental Applications, Springer, 2020.
Vrba.J.; Mares.J.
ROC Analysis of Extreme Seeking Entropy for Trend Change Detection
International Conference on Applied Electronics (AE), 2020.
Vrba, J.; Mareš, J.
Introduction to Extreme Seeking Entropy
Entropy, 2020.