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M. Mertik

3 papers hereh-index 7196 citations28 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • cs.SE1
  • physics.ins-det1

identity via Semantic Scholar / OpenAlex

most citedRecurrent Neural Networks for anomaly detection in the Post-Mortem time series of LHC superconducting magnets

7 citations · 7 across the 2 of their papers we have counts for

collaborators

3 papers

cs.LG2019

Falls Prediction in eldery people using Gated Recurrent Units

Marcin Radzio, Maciej Wielgosz, Matej Mertik

Falls prevention, especially in older people, becomes an increasingly important topic in the times of aging societies. In this work, we present Gated Recurrent Unit-based neural ne…

cs.SE2017

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

The Large Hadron Collider (LHC) is one of the most complex machines ever build. It is composed of many components which constitute a large system. The tunnel and the accelerator is…

physics.ins-det2017★ 7 cited

Recurrent Neural Networks for anomaly detection in the Post-Mortem time series of LHC superconducting magnets

Maciej Wielgosz, Andrzej Skoczeń, Matej Mertik

This paper presents a model based on Deep Learning algorithms of LSTM and GRU for facilitating an anomaly detection in Large Hadron Collider superconducting magnets. We used high r…

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