Az oktató a doktori iskola doktoranduszai számára oktat tantárgyat, és/vagy a doktori iskola megszavazta, hogy doktoranduszok számára kutatási témát írjon ki.
)
the share of work in the different doctoral schools.
discrete simulation, artificial intelligence, transport systems, data mining, information retrieval, computer vision, deep learning
research field in which current research is conducted
computer sciences
Publications
2021
from data base, 2022. I. 04.
Szűcs Gábor, Németh Marcell: Double-View Matching Network for Few-Shot Learning to Classify Covid-19 in X-ray images, INFOCOMMUNICATIONS JOURNAL 13: (1) pp. 26-34. type of document: Journal paper/Article language: English URL
2021
from data base, 2022. I. 04.
Szűcs Gábor, Papp Dávid: Zero Initialised Unsupervised Active Learning by Optimally Balanced Entropy-Based Sampling for Imbalanced Problems, JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE pp. 1-34. type of document: Journal paper/Article language: English URL
2019
from data base, 2022. I. 04.
Szűcs Gábor, Huszti Dorottya: Seq2seq Deep Learning Method for Summary Generation by LSTM with Two-way Encoder and Beam Search Decoder, In: Szakál, Anikó (szerk.) IEEE 17th International Symposium on Intelligent Systems and Informatics Proceedings, Sisy 2019, IEEE Hungary Section (2019) pp. 221-225. type of document: Part of book/Proceedings Paper language: English URL
2018
from data base, 2022. I. 04.
Gábor Szűcs, Bence Tamás: Body Part Extraction and Pose Estimation Method in Rowing Videos, CIT JOURNAL OF COMPUTING AND INFORMATION TECHNOLOGY 26: (1) pp. 29-43. type of document: Journal paper/Article language: English URL
2018
from data base, 2022. I. 04.
Dávid Papp, Gábor Szűcs: Double Probability Model for Open Set Problem at Image Classification, INFORMATICA (LITHUANIA) 29: (2) pp. 353-369. type of document: Journal paper/Article language: English URL
2017
from data base, 2022. I. 04.
Dávid Papp, Gábor Szűcs: Balanced Active Learning Method for Image Classification, ACTA CYBERNETICA 23: (2) pp. 645-658. type of document: Journal paper/Article language: English Full text
2017
from data base, 2022. I. 04.
Dávid Papp, Gábor Szűcs: MMKK++ algorithm for clustering heterogeneous images into an unknown number of clusters, ELECTRONIC LETTERS ON COMPUTER VISION AND IMAGE ANALYSIS 16: (3) pp. 30-45. type of document: Journal paper/Article language: English URL
2012
from data base, 2022. I. 04.
Szűcs Gábor: Route planning based on uncertain information in transport networks, TRANSPORT (VILNIUS) 27: (1) pp. 79-85. type of document: Journal paper/Article number of independent citations: 7 language: English URL
2009
from data base, 2022. I. 04.
Szűcs Gábor: Developing Co-operative Transport System and Route Planning, TRANSPORT (VILNIUS) 24: (1) pp. 21-25. type of document: Journal paper/Article number of independent citations: 14 language: English URL
1998
from data base, 2022. I. 04.
Jávor A, Szűcs G: Simulation and Optimization of Urban Traffic using AI, MATHEMATICS AND COMPUTERS IN SIMULATION 46: pp. 13-21. type of document: Journal paper/Article number of independent citations: 6 language: English URL
Number of independent citations to these publications:
monographs/books in which chapters/sections were contributed:
0
number of independent citations to scientific publications and creative works:
The number of citations displayed after clicking on the link may differ from the displayed number because the former displays the current state of MTMT2 and the latter was the case when importing science metrics.
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