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Bogacsovics Gergő

Name: Bogacsovics Gergő
Affiliation: Debreceni Egyetem. Természettudományi Doktori Tanács. Informatikai Tudományok Doktori Iskola / University of Debrecen. Doctoral Council of Natural Sciences. Doctoral School of Informatics
Other profiles: MTMT

Publication list

Uploaded publications:
Publications in DEA:
Date range:
  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. 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
  1. Bogacsovics, G., Harangi, B., Hajdu, A.: Increasing the diversity of ensemble members for accurate brain tumor classification.
    In: 36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023, Institute of Electrical and Electronics Engineers Inc., [s.l.], 529-534, 2023. ISBN: 9798350312249
  1. Bogacsovics, G., Tóth, J., Hajdu, A., Harangi, B.: Enhancing CNNs through the use of hand-crafted features in automated fundus image classification.
    Biomed. Signal Process. Control. 76 1-10, 2022.
    Journal metrics:
    Q1 Biomedical Engineering
    Q1 Health Informatics
    Q1 Signal Processing
  2. 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.
  1. Bogacsovics, G., Hajdu, A., Harangi, B.: Cell Segmentation in Digitized Pap Smear Images Using an Ensemble of Fully Convolutional Networks.
    In: 2021 IEEE Signal Processing in Medicine and Biology Symposium : Proceedings, IEEE, Philadelphia, 1-6, 2021. ISBN: 9781665428972
  2. 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)
  1. Harangi, B., Tóth, J., Bogacsovics, G., Kupás, D., Kovács, L., Hajdu, A.: Cell detection on digitized Pap smear images using ensemble of conventional image processing and deep learning techniques.
    In: 11th International Symposium on Image and Signal Processing and Analysis (ISPA 2019). Eds.: S. Lončarić, R. Bregović, M. Carli, M. Subašić, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, USA, 38-42, 2019. ISBN: 9781728131405
  2. Bátfai, N., Papp, D., Bogacsovics, G., Szabó, M., Simkó, V., Bersenszki, M., Szabó, G., Kovács, L., Kovács, F., Varga, E.: Object file system software experiments about the notion of number in humans and machines.
    Cognition, Brain, Behavior. 23 (4), 257-280, 2019.
    Journal metrics:
    Q4 Experimental and Cognitive Psychology
  1. Bátfai, N., Besenczi, R., Szabó, J., Jeszenszky, P., Buda, A., Jármi, L., Lovas, R., Pál, M., Bogacsovics, G., Kovács, E.: DEAC-Hackers: játszó hackerek, hackelő játékosok.
    Inform Társad. 18 (1), 132-146, 2018.
    Journal metrics:
    Q4 Communication
  2. Bátfai, N., Bogacsovics, G., Paszerbovics, R., Antal, A., Czevár, I., Kelemen, V., Besenczi, R.: E-sportolók mérése.
    Inform. Társad. 18 (1), 147-155, 2018.
    Journal metrics:
    Q4 Communication
  1. Bátfai, N., Bersenszki, M., Lukács, M., Besenczi, R., Bogacsovics, G., Jeszenszky, P.: Az e-sport és a robotpszichológia közös jövője.
    Inform. Társad. 16 (4), 26-39, 2017.
    Journal metrics:
    Q3 Communication
updated: 2024-04-14, 01:31

SCImago quartiles of
scientific journal articles

Number of scientific articles: 10
Q1 1 (10%)
Q2 1 (10%)
Q3 2 (20%)
Q4 3 (30%)
N/A 3 (30%)

SCImago subject areas and categories

Computer Science (3)
Artificial Intelligence (1)
Computer Science (miscellaneous) (1)
Computer Science Applications (1)
Information Systems (1)
Signal Processing (1)
Social Sciences (3)
Communication (3)
Business, Management and Accounting (1)
Management Information Systems (1)
Engineering (1)
Biomedical Engineering (1)
Mathematics (1)
Mathematics (miscellaneous) (1)
Medicine (1)
Health Informatics (1)
Psychology (1)
Experimental and Cognitive Psychology (1)

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