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Natabara Máté Gyöngyössy
Natabara Máté Gyöngyössy
PhD Student, Department of Artificial Intelligence, ELTE Eötvös Lóránd University
Verified email at inf.elte.hu
Title
Cited by
Cited by
Year
Supervised learning with small training set for gesture recognition by spiking neural networks
NM Gyöngyössy, M Domonkos, J Botzheim, P Korondi
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2201-2206, 2019
162019
Interactive Bacterial Evolutionary Algorithm for Work Pace Optimization of Cobots
NM Gyöngyössy, M Domonkos, J Botzheim
2020 IEEE 20th International Symposium on Computational Intelligence and ¡K, 2020
42020
A ResNet-9 Model for Insect Wingbeat Sound Classification
BJ Szekeres, MN Gyöngyössy, J Botzheim
2023 IEEE Symposium Series on Computational Intelligence (SSCI), 587-592, 2023
32023
Exploring the Effects of Caputo Fractional Derivative in Spiking Neural Network Training
NM Gyöngyössy, G Eros, J Botzheim
Electronics 11 (14), 2114, 2022
12022
Applying Fourier Neural Operator to insect wingbeat sound classification: Introducing CF-ResNet-1D
BJ Szekeres, MN Gyöngyössy, J Botzheim
Ecological Informatics, 103055, 2025
2025
Skel3D: Skeleton Guided Novel View Synthesis
A Fóthi, B Fazekas, NM Gyöngyössy, K Fenech
arXiv preprint arXiv:2412.03407, 2024
2024
Assistive AI for Augmenting Human Decision-making
NM Gyöngyössy, B Török, C Farkas, L Lucaj, A Menyhárd, ...
arXiv preprint arXiv:2410.14353, 2024
2024
Social Attraction Mutation: A Novel Method for Mutation Based on Attraction
M Domonkos, Z Huanpeng, NM Gyöngyössy, J Botzheim
International Conference on Computational Collective Intelligence, 358-370, 2024
2024
Bacterial Evolutionary Algorithm-based Feature Selection for Word Sentiment Interpolation in Hungarian Language
BT Rozgonyi, NM Gyöngyössy, B Korcsok, J Botzheim
2021 IEEE 21st International Symposium on Computational Intelligence and ¡K, 2021
2021
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