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Matej Mertik

Observed names: M Mertik, M. Mertik, MATEJ MERTIK, Mertik, Matej
ORCID: 0000-0002-4557-330X
Observed ORCID: 0000-0002-4557-330X
OpenAlex ID: A5081786116
Using LSTM recurrent neural networks for monitoring the LHC superconducting magnets
2017 · Maciej Wielgosz, Andrzej Skoczeń, et al. · Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment · 82
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Infrared Thermography Based on Artificial Intelligence as a Screening Method for Carpal Tunnel Syndrome Diagnosis
2009 · B Jesenšek Papež, M Palfy, et al. · Journal of International Medical Research · 34
Suicide and Suicide Attempt Descriptors by Multimethod Approach
2018 · Bojan Zalar, Blanka Kores Plesnicar, et al. · Psychiatria Danubina · 33
Estimating Software Quality with Advanced Data Mining Techniques
2006 · Matej Mertik, Mitja Lenic, et al. · International Conference on Software Engineering Advances · 27
The model of an anomaly detector for HiLumi LHC magnets based on Recurrent Neural Networks and adaptive quantization
2018 · Maciej Wielgosz, Matej Mertik, et al. · Engineering Applications of Artificial Intelligence · 23
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Using Visual Interpretation of Small Ensembles in Microarray Analysis
2006 · G. Stiglic, M. Mertik, et al. · Proceedings - IEEE Symposium on Computer-Based Medical Systems · 16
iAPERAS — Intelligent Athlete’s Personal Assistant
2005 · M. Verlic, M. Zorman, et al. · Proceedings - IEEE Symposium on Computer-Based Medical Systems · 6
Using LSTM recurrent neural networks for detecting anomalous behavior of LHC superconducting magnets.
2016 · Maciej Wielgosz, Andrzej Skoczeń, et al. · arXiv (Cornell University) · 5
Usability of Visualization Libraries for Web Browsers for Use in Scientific Analysis
2015 · Luke Barnard, Matej Mertik · International Journal of Computer Applications · 4
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Gaining features in medicine using various data-mining techniques
2006 · M. Mertik, P. Kokol, et al. · IEEE International Conference on Computational Cybernetics (ICCC) · 4
Knowledge Engineering
2006 · Petra Povalej, Matej Mertik, et al. · Wiley Encyclopedia of Biomedical Engineering · 4
Diagnosing Mitral Valve Prolapse by Improving the Predictive Power of Classifiers
2011 · D Dinevski, M Mertik, et al. · Journal of International Medical Research · 2
Data engineering for the electrical quality assurance of the LHC - a preliminary study
2017 · Matej Mertik, Knud Dahlerup Petersen · International Journal of Data Mining Modelling and Management · 1
A Conceptual Development of Quench Prediction App build on LSTM and ELQA framework
2016 · Mertik, Matej, Wielgosz, Maciej, et al. · arXiv (Cornell University) · 1
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Constructing and Testing Data Models for LHC Electrical Quality Assurance
2016 · M. Mertik, M. J. Bednarek, et al. · Journal of Testing and Evaluation · 1
Using Cellular Automata for feature construction - preliminary study
2007 · Matej Mertik, Mykola Pechenizkiy, et al. · IEEE International Conference on Digital Ecosystems and Technologies · 1
Mining features of software reliability using multimethod data-mining approach.
2004 · Matej Mertik, Mitja Lenič, et al. · Institutional Research Information System (University of Udine) · 1
Spiking Neural Network Actor-Critic Proximal Policy Optimization Control for Autonomous UAV Navigation Through Constrained Openings in Civil Infrastructure and Buildings
2026 · Walugembe, Francis Noah, Wielgosz, Maciej, et al. · arXiv (Cornell University)
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Unsupervised spiking feature learning for event-based pedestrian crossing detection: approaching supervised accuracy without labelled training data
2026 · Teklu, Henok, Sakhai, Mustafa, et al. · arXiv (Cornell University)
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Pedestrian Crossing Intent Classification From Event-Based Vision Using Convolutional Spiking Neural Networks With Temporal Augmentation
2026 · Teklu, Henok, Sakhai, Mustafa, et al. · arXiv (Cornell University)
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From Neural Networks to Generative Forms: The Evolving Role
2026 · Matej Mertik
Bio-Inspired Spiking Recurrent Networks with Evolutionary Optimization for Non-Stationary Cryptocurrency Forecasting
2026 · Francis Noah Walugembe, Maciej Wielgosz, et al. · Big Data and Cognitive Computing
Assessing LLMs as Cognitive Interpreters of Student Prompts: A Typological Framework
2025 · Tadeu da Ponte, Matevz Vremec, et al. · International Journal of Computer Applications
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Measuring and Enhancing Productivity in ICT SMEs: Strategies for Remote Work Success
2024 · Tomaž Kokot, Matej Mertik · International Journal of Computer Applications
Systematic Approach to Awareness Training at Slovenian Nuclear Safety Administration
2023 · Samo Tomažič, Matej Mertik, et al. · International Journal of Computer Applications
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Works count: 36
Citation count: 245
H-index: 6
I10-index: 6
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