3 papers
cs.LG2024
Parameter Estimation of Long Memory Stochastic Processes with Deep Neural Networks
Bálint Csanády, Lóránt Nagy, Dániel Boros +5
We present a purely deep neural network-based approach for estimating long memory parameters of time series models that incorporate the phenomenon of long-range dependence. Paramet…
cs.CL2022
Dilated Convolutional Neural Networks for Lightweight Diacritics Restoration
Bálint Csanády, András Lukács
Diacritics restoration has become a ubiquitous task in the Latin-alphabet-based English-dominated Internet language environment. In this paper, we describe a small footprint 1D dil…
eess.IV2020
Attention U-Net Based Adversarial Architectures for Chest X-ray Lung Segmentation
Gusztáv Gaál, Balázs Maga, András Lukács
Chest X-ray is the most common test among medical imaging modalities. It is applied for detection and differentiation of, among others, lung cancer, tuberculosis, and pneumonia, th…