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Hajdu András

Hajdu András

Hajdu András
DE > IK
Department of Computer Graphics and Image Processing
egyetemi tanár, tanszékvezető 2008-
Name: Hajdu András
Other profiles: Google Scholar, MTMT
Degree
  • PhD, Debreceni Egyetem (2003)
  • Habilitáció, Debreceni Egyetem (2008)
  • MTA doktora, MTA (2017)
Profession: mathematician, information scientist
Recommended links:

Publication list

Uploaded publications:
201
Publications in DEA:
192
OA:
25
Date range:
1997-2022
2022
  1. Kapusi, T., Erdei, T., Husi, G., Hajdu, A.: Application of Deep Learning in the Deployment of an Industrial SCARA Machine for Real-Time Object Detection.
    Robotics. 11 (4), 1-20, 2022.
    Journal metrics:
    Q2 Artificial Intelligence (2021)
    Q2 Control and Optimization (2021)
    Q1 Mechanical Engineering (2021)
  2. Hajdu, A., Terdik, G., Tiba, A., Tomán, H.: A stochastic approach to handle resource constraints as knapsack problems in ensemble pruning.
    Mach. Learn. 111 1551-1595, 2022.
    Journal metrics:
    Q1 Artificial Intelligence (2021)
    Q1 Software (2021)
  3. Huang, X., Zhou, S., Tóth, J., Hajdu, A.: Cuproptosis-related gene index: a predictor for pancreatic cancer prognosis, immunotherapy efficacy, and chemosensitivity.
    Front. Immunol. Epub 1-31, 2022.
    Journal metrics:
    Q1 Immunology (2021)
    Q1 Immunology and Allergy (2021)
  4. Kapusi, T., Kovács, L., Hajdu, A.: Deep learning-based anomaly detection for imaging in autonomous vehicles.
    In: 2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS): Proceedings (2022.05.16-18.)(Debrecen). Szerk.: Fazekas István, IEEE, Piscataway (NJ), 142-147, 2022. ISBN: 9781665496520
  5. 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 Health Informatics (2021)
    Q1 Signal Processing (2021)
  6. Pándy, Á., Kun, D., Kovács, L., Vasváry, G., Pánti, Z., Hajdu, A.: Image sensor based steering signal for a digital actuator system.
    In: 2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS) / Fazekas István, IEEE, Piscataway, 229-234, 2022. ISBN: 9781665496537
2021
  1. Bogacsovics, G., Hajdu, A., Harangi, B., Lakatos, I., Lakatos, R., Szabó, M., Tiba, A., Tóth, J., Tarcsi, Á.: Adatelemzési folyamat és keretrendszer a közigazgatás számára.
    Közigazgatástudomány. 1 (2), 146-158, 2021.
  2. 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
  3. Lantang, O., Terdik, G., Hajdu, A., Tiba, A.: Comparison of single and ensemble-based convolutional neural networks for cancerous image classification.
    Ann. Math. Inform. 54 45-56, 2021.
    Journal metrics:
    Q3 Computer Science (miscellaneous)
    Q4 Mathematics (miscellaneous)
  4. 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.)
  5. Lantang, O., Terdik, G., Hajdu, A., Tiba, A.: Investigation of the efficiency of an interconnected convolutional neural network by classifying medical images.
    Ann. Math. Inform. 53 219-234, 2021.
    Journal metrics:
    Q3 Computer Science (miscellaneous)
    Q4 Mathematics (miscellaneous)
  6. 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.
  7. 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)
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.
    Journal metrics:
    Q2 Health Informatics
    Q2 Signal Processing
  2. Beregi-Kovács, M., Baran, Á., Hajdu, A.: Efficient Learning of Model Weights via Changing Features During Training.
    2020 IEEE 24th International Conference on Intelligent Engineering Systems (INES) 2020 43-48, 2020.
  3. Tóth, J., Tomán, H., Hajdu, A.: Efficient sampling-based energy function evaluation for ensemble optimization using simulated annealing.
    Pattern Recognit. 107 1-12, 2020.
    Journal metrics:
    D1 Artificial Intelligence
    D1 Computer Vision and Pattern Recognition
    D1 Signal Processing
    D1 Software
  4. 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.
    Journal metrics:
    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
2019
  1. Tóth, J., Kapusi, T., Harangi, B., Tomán, H., Hajdu, A.: Accelerating the Optimization of a Segmentation Ensemble using Image Pyramids.
    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, 43-48, 2019. ISBN: 9781728131405
  2. Harangi, B., Tóth, J., Baran, Á., Hajdu, A.: Automatic screening of fundus images using a combination of convolutional neural network and hand-crafted features.
    In: 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Ed.: Riccardo Barbieri, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, USA, 2699-2702, 2019. ISBN: 9781538613122
  3. 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
  4. Lantang, O., Tiba, A., Hajdu, A., Terdik, G.: Convolutional Neural Network For Predicting The Spread of Cancer.
    In: Proceedings of the 10th IEEE International Conference on Cognitive Infocommunications : CogInfoCom 2019. Szerk.: Péter Baranyi, IEEE-Inst Electrical Electronics Engineers Inc, Piscataway, 175-180, 2019. ISBN: 9781728147932
Show all
updated: 2023-02-05, 01:12

SCImago quartiles of
scientific journal articles

Number of scientific articles: 68
Q1/D1 10 (14.7%)
Q1 22 (32.4%)
Q2 17 (25%)
Q3 9 (13.2%)
Q4 1 (1.5%)
N/A 19 (27.9%)
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SCImago subject areas and categories

Computer Science (35)
Software (16)
Computer Vision and Pattern Recognition (12)
Computer Science (miscellaneous) (11)
Artificial Intelligence (9)
Signal Processing (8)
Computer Graphics and Computer-Aided Design (6)
Computer Science Applications (6)
Computational Theory and Mathematics (3)
Computer Networks and Communications (1)
Mathematics (16)
Theoretical Computer Science (7)
Mathematics (miscellaneous) (6)
Applied Mathematics (2)
Discrete Mathematics and Combinatorics (2)
Algebra and Number Theory (1)
Computational Mathematics (1)
Control and Optimization (1)
Modeling and Simulation (1)
Medicine (14)
Health Informatics (9)
Radiology, Nuclear Medicine and Imaging (3)
Oncology (2)
Endocrinology, Diabetes and Metabolism (1)
Immunology and Allergy (1)
Medicine (miscellaneous) (1)
Ophthalmology (1)
Engineering (8)
Electrical and Electronic Engineering (4)
Engineering (miscellaneous) (2)
Biomedical Engineering (1)
Mechanical Engineering (1)
Biochemistry, Genetics and Molecular Biology (5)
Cancer Research (2)
Genetics (2)
Biochemistry (1)
Biophysics (1)
Biotechnology (1)
Endocrinology (1)
Structural Biology (1)
Decision Sciences (4)
Information Systems and Management (4)
Management Science and Operations Research (3)
Health Professions (4)
Radiological and Ultrasound Technology (4)
Multidisciplinary (2)
Multidisciplinary (2)
Agricultural and Biological Sciences (1)
Ecology, Evolution, Behavior and Systematics (1)
Business, Management and Accounting (1)
Management Information Systems (1)
Immunology and Microbiology (1)
Immunology (1)
Neuroscience (1)
Neuroscience (miscellaneous) (1)
Social Sciences (1)
Education (1)

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Journals

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iDEa co-authors

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Other co-authors

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Qureshi, Rashid Jalal
Maros-Szabó Zsuzsanna
Hajduné Pocsai Enikő
Hodnics Márton István
Mohácsi András István
Nikolaidis, Nikolaos
Tavares, Mayo Kayann Guerra Silva
Chennamsetty, Sai Saketh
Felipe-Riverón, Edgardo Manuel
Mendonça, Ana Maria
Mériaudeau, Fabrice