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Lakatos Róbert

Lakatos Róbert

Lakatos Róbert
DE > IK
2020-
Name: Lakatos Róbert
Affiliation: Debreceni Egyetem. Informatikai Kar. Adattudomány és Vizualizáció Tanszék / University of Debrecen. Faculty of Informatics.
Other profiles: MTMT
Profession: Informatics

Publication list

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Uploaded publications:
9
Publications in DEA:
9
OA:
5
Date range:
2016-2024
2024
  1. Lakatos, R., Bogacsovics, G., Harangi, B., Lakatos, I., Tiba, A., Tóth, J., Szabó, M., Hajdu, A.: A Machine Learning-Based Pipeline for the Extraction of Insights from Customer Reviews.
    Big Data Cogn. Comput. 8 (3), 1-24, 2024.
    Journal metrics:
    Q2 Artificial Intelligence (2022)
    Q2 Computer Science Applications (2022)
    Q2 Information Systems (2022)
    Q2 Management Information Systems (2022)
  2. Lakatos, R., Pollner, P., Hajdu, A., Joó, T.: A multimodal deep learning architecture for smoking detection with a small data approach.
    Front. Artif. Intell. 7 1-8, 2024.
    Journal metrics:
    Q2 Artificial Intelligence (2022)
  3. Bogacsovics, G., Harangi, B., Beregi-Kovács, M., Kupás, D., Lakatos, R., Serbán, N., Tiba, A., Tóth, J.: Assessing Conventional and Deep Learning-Based Approaches for Named Entity Recognition in Unstructured Hungarian Medical Reports.
    In: 2024 IEEE 22nd World Symposium on Applied Machine Intelligence and Informatics (SAMI). Ed.: Kovács Levente, Liberios Vokorokos, IEEE, Piscataway, 77-82, 2024. ISBN: 9798350317206
2022
  1. Lakatos, R., Bogacsovics, G., Hajdu, A.: Predicting the direction of the oil price trend using sentiment analysis.
    In: IEEE 2nd Conference on Information Technology and Data Science (CITDS) : Proceedings. Ed.: Fazekas István, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, 177-182, 2022.
2021
  3. Bogacsovics, G., Hajdu, A., Lakatos, R., Beregi-Kovács, M., Tiba, A., Tomán, H.: Replacing the SIR epidemic model with a neural network and training it further to increase prediction accuracy.
    Ann. Math. Inform. 53 73-91, 2021.
    Journal metrics:
    Q3 Computer Science (miscellaneous)
    Q4 Mathematics (miscellaneous)
2016
  1. Soós, M., Lakatos, R., Molnár, G., Takácsné Bubnó, K.: BPMN 2.0 a könyvtári minőségbiztosításban.
    In: Networkshop 2016. Szerk.: Mikusné Sárvári Klára, NIIF, Budapest, [8], 2016. ISBN: 9789638833563
updated: 2024-04-21, 02:06

SCImago quartiles of
scientific journal articles

Number of scientific articles: 6
Q2 2 (33.3%)
Q3 1 (16.7%)
N/A 3 (50%)
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SCImago subject areas and categories

Computer Science (3)
Artificial Intelligence (2)
Computer Science (miscellaneous) (1)
Computer Science Applications (1)
Information Systems (1)
Business, Management and Accounting (1)
Management Information Systems (1)
Mathematics (1)
Mathematics (miscellaneous) (1)

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