A Student-Oriented University Ontology. - Annemie Vorstermans; Pavol Tanuska; Werner Verschelde; Michal Kebísek (DMIN, 2010)

Data mining in the industry. - Michal Kebísek (2012)

Analysis of Temperature Impact on Production Process with Focus on Data Integration and Transformation. - Michal Kebísek; Lukás Spendla; Pavol Tanuska (CSOC (3), 2017)

Decision Trees Accuracy Improvement for Production Errors Classification. - Michal Kebísek; Lukás Spendla; Pavol Tanuska; Lukas Hrcka (CSOS (1), 2018)

Integration of Production Line with the Wonderware Platform. - Andrea Vaclavova; Michal Kebísek (CSOS (1), 2018)

Neural Network Comparison for Paint Errors Classification for Automotive Industry in Compliance with Industry 4.0 Concept. - Michal Kebísek; Lukás Spendla; Pavol Tanuska; Gabriel Gaspar; Lukas Hrcka (CSOC (2), 2019)

Smart Anomaly Detection and Prediction for Assembly Process Maintenance in Compliance with Industry 4.0. - Pavol Tanuska; Lukás Spendla; Michal Kebísek; Rastislav Duris; Maximilian Stremy (Sensors, 2021)

Data Integration from Heterogeneous Control Levels for the Purposes of Analysis within Industry 4.0 Concept. - Tibor Horák; Peter Strelec; Michal Kebísek; Pavol Tanuska; Andrea Vaclavova (Sensors, 2022)

Proposal for an IIoT Device Solution According to Industry 4.0 Concept. - Andrea Vaclavova; Peter Strelec; Tibor Horák; Michal Kebísek; Pavol Tanuska; Ladislav Huraj (Sensors, 2022)

Detection of a Quasiperiodic Phenomenon of a Binary Star System Using Convolutional Neural Network. - Denis Benka; Sabína Vasová; Michal Kebísek; Maximilian Stremy (Intell. Autom. Soft Comput., 2023)