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Harangi Balázs

Harangi Balázs

Harangi Balázs
DE > IK
Komputergrafika és Képfeldolgozás Tanszék
egyetemi docens 2021-
Név: Harangi Balázs
Affiliáció: Debreceni Egyetem. Informatikai Kar. Komputergrafika és Képfeldolgozás Tanszék / University of Debrecen. Faculty of Informatics. Department of Computer Graphics and Image Processing
További profilok: MTMT
Fokozat
  • Ph.D., Debreceni Egyetem Informatikai Tudományok Doktori Iskola (2015)
  • habil, Debreceni Egyetem Informatikai Kar (2021)
Szakterület: programtervező matematikus

Teljes publikációs lista

A lista áttöltése az MTMT rendszerébe
Hiányzó közlemények feltöltése
Hitelesített Publikációs Lista igénylése
OA letöltési statisztika megtekintése
Feltöltött közlemény:
72
DEA-ban:
72
OA:
18
Publikációs időszak:
2009-2024
2024
  1. Katona, T., Tóth, G., Petró, M., Harangi, B.: Advanced Multi-Label Image Classification Techniques Using Ensemble Methods.
    Mach. Learn. Knowl. Extr. 6 (2), 1281-1297, 2024.
    Folyóirat-mutatók:
    Q2 Artificial Intelligence (2023)
    Q1 Engineering (miscellaneous) (2023)
  2. 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.
    Folyóirat-mutatók:
    Q2 Artificial Intelligence (2023)
    Q2 Computer Science Applications (2023)
    Q2 Information Systems (2023)
    Q2 Management Information Systems (2023)
  3. Kupás, D., Hajdu, A., Kovács, I., Hargitai, Z., Szombathy, Z., Harangi, B.: Annotated Pap cell images and smear slices for cell classification.
    Sci Data. 11 (1), 1-8, 2024.
    Folyóirat-mutatók:
    D1 Computer Science Applications (2023)
    D1 Education (2023)
    D1 Information Systems (2023)
    D1 Library and Information Sciences (2023)
    D1 Statistics and Probability (2023)
    D1 Statistics, Probability and Uncertainty (2023)
  4. 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
  5. Bogacsovics, G., Harangi, B., Hajdu, A.: Developing diverse ensemble architectures for automatic brain tumor classification.
    Multimed Tools Appl. 1-44, 2024.
    Folyóirat-mutatók:
    Q2 Computer Networks and Communications (2023)
    Q2 Hardware and Architecture (2023)
    Q1 Media Technology (2023)
    Q2 Software (2023)
  6. Katona, T., Tóth, G., Petró, M., Harangi, B.: Developing New Fully Connected Layers for Convolutional Neural Networks with Hyperparameter Optimization for Improved Multi-Label Image Classification.
    Mathematics. 12 (6), 1-16, 2024.
    Folyóirat-mutatók:
    Q2 Computer Science (miscellaneous) (2023)
    Q2 Engineering (miscellaneous) (2023)
    Q2 Mathematics (miscellaneous) (2023)
  7. Serban, N., Kupás, D., Hajdu, A., Török, P., Harangi, B.: Distinguishing the Uterine Artery, the Ureter, and Nerves in Laparoscopic Surgical Images Using Ensembles of Binary Semantic Segmentation Networks.
    Sensors. 24 (9), 1-12, 2024.
    Folyóirat-mutatók:
    Q1 Analytical Chemistry (2023)
    Q1 Atomic and Molecular Physics, and Optics (2023)
    Q2 Biochemistry (2023)
    Q2 Electrical and Electronic Engineering (2023)
    Q2 Information Systems (2023)
    Q1 Instrumentation (2023)
    Q2 Medicine (miscellaneous) (2023)
  8. Harangi, B., Bogacsovics, G., Tóth, J., Kovács, I., Bujdosóné Dani, E., Hajdu, A.: Pixel-wise segmentation of cells in digitized Pap smear images.
    Sci Data. 11 (1), 1-8, 2024.
    Folyóirat-mutatók:
    D1 Computer Science Applications (2023)
    D1 Education (2023)
    D1 Information Systems (2023)
    D1 Library and Information Sciences (2023)
    D1 Statistics and Probability (2023)
    D1 Statistics, Probability and Uncertainty (2023)
  9. Al-Hamadani, M., Fadhel, M., Alzubaidi, L., Harangi, B.: Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review.
    Sensors. 24 (8), 1-42, 2024.
    Folyóirat-mutatók:
    Q1 Analytical Chemistry (2023)
    Q1 Atomic and Molecular Physics, and Optics (2023)
    Q2 Biochemistry (2023)
    Q2 Electrical and Electronic Engineering (2023)
    Q2 Information Systems (2023)
    Q1 Instrumentation (2023)
    Q2 Medicine (miscellaneous) (2023)
2023
  1. Kovács, Á., Csernátony, Z., Csámer, L., Méhes, G., Szabó, D., Veres, M., Braun, M., Harangi, B., Serban, N., Zhang, L., Falk, G., Soósné Horváth, H., Manó, S.: Comparative Analysis of Bone Ingrowth in 3D-Printed Titanium Lattice Structures with Different Patterns.
    Materials. 16 (10), 1-16, 2023.
    Folyóirat-mutatók:
    Q2 Condensed Matter Physics
    Q2 Materials Science (miscellaneous)
  2. Harangi, B., Baran, Á., Beregi-Kovács, M., Hajdu, A.: Composing Diverse Ensembles of Convolutional Neural Networks by Penalization.
    Mathematics. 11 (23), 1-19, 2023.
    Folyóirat-mutatók:
    Q2 Computer Science (miscellaneous)
    Q2 Engineering (miscellaneous)
    Q2 Mathematics (miscellaneous)
  3. Pándy, Á., Harangi, B., Hajdu, A.: Extracting Drug Names from Medical Reports.
    In: IEEE 18th International Conference on Computer Science and Information Technologies (CSIT), IEEE, Piscataway, 1-4, 2023. ISBN: 9798350360462
  4. 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
  5. Serban, N., Harangi, B.: Localization-Enhanced Voting-based Ensemble of Semantic Segmentation Models for Cervical Polyp Segmentation.
    In: 36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023. Ed.: Sicilia R., Kane B., Almeida J. R, IEEE, Piscataway, 712-715, 2023. ISBN: 9798350312249
2022
  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.
    Folyóirat-mutatók:
    Q1 Biomedical Engineering
    Q1 Health Informatics
    Q1 Signal Processing
2021
  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. Ahammed, A., Harangi, B., Hajdu, A.: Hybrid AdaBoost and Naïve Bayes classifier for supervised learning.
    In: Proceedings of the 1st Conference on Information Technology and Data Science. Ed.: István Fazekas, András Hajdu, Tibor Tómács, CEUR Workshop Proceedings, Debrecen, 1-18, 2021, (CEUR Workshop Proceedings, ISSN 1613-0073 ; 2874.)
  3. Lakatos, I., Hajdu, A., Harangi, B.: Molecule Classification Using Visualization and Convolutional Neural Network.
    In: IEEE 18th International Symposium on Biomedical Imaging (ISBI), IEEE, Piscataway, 1695-1698, 2021.
  4. Kupás, D., Harangi, B.: Solving the problem of imbalanced dataset with synthetic image generation for cell classification using deep learning.
    In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society, IEEE, Piscataway, 2981-2984, 2021.
2020
  1. Harangi, B., Baran, Á., Hajdu, A.: Assisted deep learning framework for multi-class skin lesion classification considering a binary classification support.
    Biomed. Signal Process. Control. 62 1-7, 2020.
    Folyóirat-mutatók:
    Q2 Health Informatics
    Q2 Signal Processing
  2. Porwal, P., Pachade, S., Kokare, M., Deshmukh, G., Son, J., Bae, W., Liu, L., Wang, J., Liu, X., Gao, L., Wu, T., Xiao, J., Wang, F., Yin, B., Wang, Y., Danala, G., He, L., Choi, Y., Lee, Y., Jung, S., Li, Z., Sui, X., Wu, J., Li, X., Zhou, T., Tóth, J., Baran, Á., Kori, A., Chennamsetty, S., Safwan, M., Alex, V., Lyu, X., Cheng, L., Chu, Q., Li, P., Ji, X., Zhang, S., Shen, Y., Dai, L., Saha, O., Sathish, R., Melo, T., Araújo, T., Harangi, B., Sheng, B., Fang, R., Sheet, D., Hajdu, A., Zheng, Y., Mendonça, A., Zhang, S., Campilho, A., Zheng, B., Shen, D., Giancardo, L., Quellec, G., Mériaudeau, F.: IDRiD: Diabetic Retinopathy: segmentation and grading challenge.
    Med. Image Anal. 59 1-26, 2020.
    Folyóirat-mutatók:
    D1 Computer Graphics and Computer-Aided Design
    D1 Computer Vision and Pattern Recognition
    D1 Health Informatics
    D1 Radiological and Ultrasound Technology
    D1 Radiology, Nuclear Medicine and Imaging
Mindet mutasd
frissítve: 2024-07-14, 01:46

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Tudományos folyóiratcikkek száma: 27
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n.a. 7 (25.9%)
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