Zoltán Vidnyánszky

Orcid: 0000-0001-8168-9353

According to our database1, Zoltán Vidnyánszky authored at least 29 papers between 1996 and 2024.

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Bibliography

2024
Zero-dimensional <i>σ</i>-homogeneous spaces.
Ann. Pure Appl. Log., January, 2024

2023
Automatic brain MRI motion artifact detection based on end-to-end deep learning is similarly effective as traditional machine learning trained on image quality metrics.
Medical Image Anal., August, 2023

The CSP Dichotomy, the Axiom of Choice, and Cyclic Polymorphisms.
CoRR, 2023

2022
Lateralization of early orthographic processing during natural reading is impaired in developmental dyslexia.
NeuroImage, 2022

Deterministic Distributed algorithms and Descriptive Combinatorics on Δ-regular trees.
CoRR, 2022

The structure of random automorphisms of the random graph.
Ann. Pure Appl. Log., 2022

Local Problems on Trees from the Perspectives of Distributed Algorithms, Finitary Factors, and Descriptive Combinatorics.
Proceedings of the 13th Innovations in Theoretical Computer Science Conference, 2022

2021
Neural basis of distractor resistance during visual working memory maintenance.
NeuroImage, 2021

On the existence of small antichains for definable quasi-orders.
J. Math. Log., 2021

On Homomorphism Graphs.
CoRR, 2021

2020
On the existence of Large Antichains for Definable quasi-Orders.
J. Symb. Log., 2020

Predicting Body Mass Index From Structural MRI Brain Images Using a Deep Convolutional Neural Network.
Frontiers Neuroinformatics, 2020

Investigating the Effect of Inter-letter Spacing Modulation on Data-Driven Detection of Developmental Dyslexia Based on Eye-Movement Correlates of Reading: A Machine Learning Approach.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Predicting Reading Speed from Eye-Movement Measures.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2017
Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture.
Frontiers Neuroinformatics, 2017

2016
Classification of fMRI data using dynamic time warping based functional connectivity analysis.
Proceedings of the 24th European Signal Processing Conference, 2016

A Model for Classification Based on the Functional Connectivity Pattern Dynamics of the Brain.
Proceedings of the Third European Network Intelligence Conference, 2016

2015
Unions of Regular Polygons with Large Perimeter-to-Area Ratio.
Discret. Comput. Geom., 2015

2014
Repetition probability effects for inverted faces.
NeuroImage, 2014

2013
Investigating the need of triggering the acquisition for infant diffusion MRI: A quantitative study including bootstrap statistics.
NeuroImage, 2013

FMRI repetition suppression for voices is modulated by stimulus expectations.
NeuroImage, 2013

2012
Stimulus repetition probability effects on repetition suppression are position invariant for faces.
NeuroImage, 2012

Saliency map estimation by constructing graphs of possible eye-tracking paths.
Proceedings of the IEEE 3rd International Conference on Cognitive Infocommunications, 2012

2011
Tracking the Saliency Features in Images Based on Human Observation Statistics.
Proceedings of the Computational Intelligence for Multimedia Understanding, 2011

2010
Neural mechanisms for voice recognition.
NeuroImage, 2010

2009
Modeling stimulus-driven attentional selection in dynamic natural scenes.
Int. J. Circuit Theory Appl., 2009

2008
Position-specific and position-invariant face aftereffects reflect the adaptation of different cortical areas.
NeuroImage, 2008

2004
Receptive Field Atlas and Related CNN Models.
Int. J. Bifurc. Chaos, 2004

1996
Cellular neural network realizations of neuron models with diverse spiking patterns.
Int. J. Circuit Theory Appl., 1996


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