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Journal Articles
- 2018
[j3]Maciej Wielgosz
, Matej Mertik, Andrzej Skoczen, Ernesto De Matteis:
The model of an anomaly detector for HiLumi LHC magnets based on Recurrent Neural Networks and adaptive quantization. Eng. Appl. Artif. Intell. 74: 166-185 (2018)- 2017
- [j2]Matej Mertik, Knud Dahlerup-Petersen:
Data engineering for the electrical quality assurance of the LHC - a preliminary study. Int. J. Data Min. Model. Manag. 9(1): 65-78 (2017) - 2007
- [j1]Gregor Stiglic, Matej Mertik, Peter Kokol, Maurizio Pighin:
Detecting Fault Modules Using Bioinformatics Techniques. Int. J. Softw. Eng. Knowl. Eng. 17(1): 153 (2007)
Conference and Workshop Papers
- 2007
- [c5]Matej Mertik, Milan Zorman, Bojan Zalar:
Improving Clinical Path Management Strategies by Constructive Induction. CBMS 2007: 451-458 - 2006
- [c4]Gregor Stiglic, Matej Mertik, Vili Podgorelec, Peter Kokol:
Using Visual Interpretation of Small Ensembles in Microarray Analysis. CBMS 2006: 691-695 - [c3]Matej Mertik, Mitja Lenic, Gregor Stiglic, Peter Kokol:
Estimating Software Quality with Advanced Data Mining Techniques. ICSEA 2006: 19 - 2005
- [c2]Mateja Verlic, Milan Zorman, Matej Mertik:
iAPERAS - Intelligent Athlete's Personal Assistant. CBMS 2005: 134-138 - 2004
- [c1]Matej Mertik, Mitja Lenic, Milan Zorman, Maurizio Pighin:
Mining features of software reliability using multimethod data-mining approach. IASTED Conf. on Software Engineering and Applications 2004: 790-794
Informal and Other Publications
- 2019
- [i6]Marcin Radzio, Maciej Wielgosz, Matej Mertik:
Falls Prediction in eldery people using Gated Recurrent Units. CoRR abs/1908.01050 (2019) - 2017
- [i5]Maciej Wielgosz, Andrzej Skoczen, Matej Mertik:
Recurrent Neural Networks for anomaly detection in the Post-Mortem time series of LHC superconducting magnets. CoRR abs/1702.00833 (2017) - [i4]Matej Mertik, Maciej Wielgosz:
A Conceptual Framework for Supporting a Rapid Design of Web Applications for Data Analysis of Electrical Quality Assurance Data for the LHC. CoRR abs/1702.01270 (2017) - [i3]Maciej Wielgosz, Matej Mertik, Andrzej Skoczen:
The prototype of the HL-LHC magnets monitoring system based on Recurrent Neural Networks and adaptive quantization. CoRR abs/1709.09883 (2017) - 2016
- [i2]Matej Mertik, Maciej Wielgosz, Andrzej Skoczen:
A Conceptual Development of Quench Prediction App build on LSTM and ELQA framework. CoRR abs/1610.09201 (2016) - [i1]Maciej Wielgosz, Andrzej Skoczen, Matej Mertik:
Using LSTM recurrent neural networks for detecting anomalous behavior of LHC superconducting magnets. CoRR abs/1611.06241 (2016)
Coauthor Index
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