Mining features of software reliability using multimethod data-mining approach. - Matej Mertik; Mitja Lenic; Milan Zorman; Maurizio Pighin (IASTED Conf. on Software Engineering and Applications, 2004)

iAPERAS - Intelligent Athlete's Personal Assistant. - Mateja Verlic; Milan Zorman; Matej Mertik (CBMS, 2005)

Using Visual Interpretation of Small Ensembles in Microarray Analysis. - Gregor Stiglic; Matej Mertik; Vili Podgorelec; Peter Kokol (CBMS, 2006)

Estimating Software Quality with Advanced Data Mining Techniques. - Matej Mertik; Mitja Lenic; Gregor Stiglic; Peter Kokol (ICSEA, 2006)

Improving Clinical Path Management Strategies by Constructive Induction. - Matej Mertik; Milan Zorman; Bojan Zalar (CBMS, 2007)

Detecting Fault Modules Using Bioinformatics Techniques. - Gregor Stiglic; Matej Mertik; Peter Kokol; Maurizio Pighin (Int. J. Softw. Eng. Knowl. Eng., 2007)

A Conceptual Development of Quench Prediction App build on LSTM and ELQA framework. - Matej Mertik; Maciej Wielgosz; Andrzej Skoczen (CoRR, 2016)

Using LSTM recurrent neural networks for detecting anomalous behavior of LHC superconducting magnets. - Maciej Wielgosz; Andrzej Skoczen; Matej Mertik (CoRR, 2016)

A Conceptual Framework for Supporting a Rapid Design of Web Applications for Data Analysis of Electrical Quality Assurance Data for the LHC. - Matej Mertik; Maciej Wielgosz (CoRR, 2017)

Recurrent Neural Networks for anomaly detection in the Post-Mortem time series of LHC superconducting magnets. - Maciej Wielgosz; Andrzej Skoczen; Matej Mertik (CoRR, 2017)

The prototype of the HL-LHC magnets monitoring system based on Recurrent Neural Networks and adaptive quantization. - Maciej Wielgosz; Matej Mertik; Andrzej Skoczen (CoRR, 2017)

Data engineering for the electrical quality assurance of the LHC - a preliminary study. - Matej Mertik; Knud Dahlerup-Petersen (Int. J. Data Min. Model. Manag., 2017)

The model of an anomaly detector for HiLumi LHC magnets based on Recurrent Neural Networks and adaptive quantization. - Maciej Wielgosz; Matej Mertik; Andrzej Skoczen; Ernesto De Matteis (Eng. Appl. Artif. Intell., 2018)

Falls Prediction in eldery people using Gated Recurrent Units. - Marcin Radzio; Maciej Wielgosz; Matej Mertik (CoRR, 2019)