Concepedia

Bálint Gyires-Tóth

BG

Statistics

Publications

6

Citations

170

H-Index

6

Active since

2018

Affiliations

Budapest University of Technology and Economics(Current)

Bálint Gyires-Tóth is an author at Budapest University of Technology and Economics specializing in engineering, deep learning, and machine learning.

Top concepts

EngineeringDeep LearningMachine LearningData ScienceComputer ScienceMachine TranslationPattern RecognitionNatural Language ProcessingBusinessLanguage

Publications per year

2018–2023

6

Publications

6

Transformer Based Grapheme-to-Phoneme Conversion

Sevinj Yolchuyeva, Géza Németh, Bálint Gyires-Tóth · 2019 · 52 citations · Full text

Grapheme-to-Phoneme Conversion with Convolutional Neural Networks

Sevinj Yolchuyeva, Géza Németh, Bálint Gyires-Tóth · Applied Sciences · 2019 · 34 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +18

Text normalization with convolutional neural networks

Sevinj Yolchuyeva, Géza Németh, Bálint Gyires-Tóth · International Journal of Speech Technology · 2018 · 27 citations

Natural Language Processing, Text Normalization, Engineering +5

PredMaX: Predictive maintenance with explainable deep convolutional autoencoders

Gergely Hajgató, Richárd Wéber, Botond Szilágyi et al. · Advanced Engineering Informatics · 2022 · 26 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +19

Deep Learning for Plant Classification and Content-Based Image Retrieval

Bálint Gyires-Tóth, Márton Osváth, Dávid Papp et al. · Cybernetics and Information Technologies · 2019 · 21 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +17

1–5 of 6