Zoltán Somogyvári

Orcid: 0000-0002-4385-3025

According to our database1, Zoltán Somogyvári authored at least 15 papers between 2001 and 2023.

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Bibliography

2023
Feature space reduction method for ultrahigh-dimensional, multiclass data: random forest-based multiround screening (RFMS).
Mach. Learn. Sci. Technol., December, 2023

BiometricBlender: Ultra-high dimensional, multi-class synthetic data generator to imitate biometric feature space.
SoftwareX, May, 2023

2022
Manifold-adaptive dimension estimation revisited.
PeerJ Comput. Sci., 2022

2021
Relaxation of Some Confusions about Confounders.
Entropy, 2021

Reconstructing common latent input from time series with the mapper-coach network and error backpropagation.
CoRR, 2021

2020
How to find a unicorn: a novel model-free, unsupervised anomaly detection method for time series.
CoRR, 2020

2016
Age-related changes of the representative modular structure in the brain.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016

2013
Prediction of emerging technologies based on analysis of the US patent citation network.
Scientometrics, 2013

2012
Prediction of Emerging Technologies Based on Analysis of the U.S. Patent Citation Network
CoRR, 2012

2011
Micro-Electric Imaging: Inverse Solution for Localization of Single Neuron Currents Based on Extracellular Potential Measurements.
Proceedings of the 2nd European Future Technologies Conference and Exhibition, 2011

2009
Distance coding strategies based on the entorhinal grid cell system.
Neural Networks, 2009

Technical integration of hippocampus, basal ganglia and physical models for spatial navigation.
Frontiers Neuroinformatics, 2009

Extraction of distance information from the activity of entorhinal grid cells: a model study.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Episodes in Space: A Modeling Study of Hippocampal Place Representation.
Proceedings of the From Animals to Animats 10, 2008

2001
Slow dynamics of epileptic seizure: Analysis and model.
Neurocomputing, 2001


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