Tudóstér: Tóth János publikációi

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feltöltött közlemény: 27 Open Access: 9
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.
    Folyóirat-mutatók:
    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
2023
  1. Tóth, J., Tomán, H., Hajdu, G., Hajdu, A.: Using Noisy Evaluation to Accelerate Parameter Optimization of Medical Image Segmentation Ensembles.
    Mathematics. 11 (18), 1-17, 2023.
    Folyóirat-mutatók:
    Q2 Computer Science (miscellaneous) (2022)
    Q2 Engineering (miscellaneous) (2022)
    Q2 Mathematics (miscellaneous) (2022)
2022
  1. Huang, X., Zhou, S., Tóth, J., Hajdu, A.: Cuproptosis-related gene index: a predictor for pancreatic cancer prognosis, immunotherapy efficacy, and chemosensitivity.
    Front. Immunol. 13 1-31, 2022.
    Folyóirat-mutatók:
    Q1 Immunology
    Q1 Immunology and Allergy
  2. 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., 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., Lakatos, I., Lakatos, R., Szabó, M., Tiba, A., Tóth, J.: Napelemfarmok Magyarország területén történő elhelyezését segítő döntéstámogató rendszer fejlesztése.
    Közigazgatástudomány. 1 (2), 134-145, 2021.
2020
  1. Tóth, J., Tomán, H., Hajdu, A.: Efficient sampling-based energy function evaluation for ensemble optimization using simulated annealing.
    Pattern Recognit. 107 1-12, 2020.
    Folyóirat-mutatók:
    D1 Artificial Intelligence
    D1 Computer Vision and Pattern Recognition
    D1 Signal Processing
    D1 Software
  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
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. Tóth, J., Tornai, R., Labancz, I., Hajdu, A.: Efficient Visualization for an Ensemble-based System.
    Acta Polytech. Hung. 16 (2), 59-75, 2019.
    Folyóirat-mutatók:
    Q2 Engineering (miscellaneous)
    Q2 Multidisciplinary
2018
  1. Hajdu, A., Harangi, B., Tóth, J., Pap, M., Baran, Á.: Combining Convolutional Neural Networks and Hand-Crafted Features in Medical Image Classification Tasks.
    In: 20th European Conference on Mathematics for Industry : Book of Abstracts. Ed.: Bodó Á., Fekete I., Izsák F., Maros G., Simon L. P, Bolyai János Matematikai Társulat, Budapest, 299, 2018.
  2. Antal, B., Tavares, M., Kovács, L., Harangi, B., Lázár, I., Nagy, B., Kovács, G., Szakács, J., Tóth, J., Pető, T., Csutak, A., Hajdu, A.: Data analysis applied to diabetic retinopathy screening: performance evaluation.
    Ann. Math. Inform. 49 3-9, 2018.
    Folyóirat-mutatók:
    Q3 Computer Science (miscellaneous)
    Q4 Mathematics (miscellaneous)
  3. Harangi, B., Tóth, J., Hajdu, A.: Fusion of deep convolutional neural networks for microaneurysm detection in color fundus images.
    In: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) / Gregg Suaning, Olaf Dossel, IEEE, Hawaii, USA, 3705-3708, 2018. ISBN: 9781538636466
2016
  1. Besenczi, R., Tóth, J., Hajdu, A.: A review on automatic analysis techniques for color fundus photographs.
    Comput. Struct. Biotechnol. J. 14 371-384, 2016.
    Folyóirat-mutatók:
    Q2 Biochemistry
    Q1 Biophysics
    Q1 Biotechnology
    Q1 Computer Science Applications
    Q2 Genetics
    Q2 Structural Biology
2015
  1. Tóth, J., Bartha, L., Szabó, T., Lázár, I., Harangi, B., Hajdu, A.: An online application for storing, analyzing, and sharing dermatological data.
    In: 6th IEEE Conference on Cognitive Infocommunications CogInfoCom 2015 : Proceedings, October 19-21, 2015, Széchenyi István University Győr, Hungary, IEEE, Danvers, 339-342, 2015. ISBN: 9781467381284
  2. Tóth, J., Tomán, H., Hajdu, A.: Improving the Performance of an Ensemble-Based Exudate Detection System using Stochastic Parameter Optimization.
    In: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Eds.: Sergio Cerutti, Paolo Bonato, Institute of Electrical and Electronics Engineers (IEEE), Seattle (WA), USA, 5243-5246, 2015.
2014
  1. Tóth, J., Kovács, L., Harangi, B., Kiss, C., Mohácsi, A., Orosz, Z., Hajdu, A.: An Online Benchmark System for Image Processing Algorithms.
    In: 5th IEEE International Conference on Cognitive Infocommunications. Ed.: Baranyi Péter, CogInfoCom, Vietri sul Mare, Italy, 377-385, 2014. ISBN: 9781479972807
  2. Tóth, J., Kovács, L., Harangi, B., Kiss, C., Mohácsi, A., Orosz, Z., Hajdu, A.: An Online System for Algorithm Benchmarking.
    In: 5th IEEE International Conference on Cognitive Infocommunications. Ed.: Baranyi Péter, CogInfoCom, Vietri sul Mare, Italy, 383, 2014. ISBN: 9781479972807
  3. Tóth, J., Szakács, L., Hajdu, A.: Finding the optimal parameter setting for an ensemble-based lesion detector.
    Proc. Int. Conf. Image Proc. 3532-3536, 2014.
2013
  1. Lámfalusi, C., Girus, D., Kruppa, K., Tóth, J., Hajduné Pocsai, E., Kunkli, R., Hajdu, A., Bálint, B.: Adding a scalable visualization technique to the UCSC genome browser.
    In: 4th IEEE International Conference on Cognitive Infocommunications CogInfoCom 2013 : Proceedings, December 2-5, 2013 Budapest, Hungary. Ed.: Péter Baranyi, IEEE, Danvers, 943-944, 2013. ISBN: 9781479915439
  2. Ayoub, A., Hajdu, A., Nagy, Á., Szakács, J., Tóth, J.: Automatikus pigmenthálózat-detektálás dermatoszkópos képeken.
    In: Képfeldolgozók és Alakfelismerők 9. országos konferenciája. Szerk.: Czúni László, NJSZT-KÉPAF, Bakonybél, 439-449, 2013.
  3. Tóth, J., Papp, I., Tornai, R., Labancz, I., Hajduné Pocsai, E., Hajdu, A.: Cognitive visualization for the design of complex systems.
    In: 4th IEEE International Conference on Cognitive Infocommunications CogInfoCom 2013 : Proceedings, December 2-5, 2013 Budapest, Hungary. Ed.: Péter Baranyi, IEEE, Danvers, 419-422, 2013. ISBN: 9781479915439
  4. Lámfalusi, C., Girus, D., Kruppa, K., Tóth, J., Hajduné Pocsai, E., Kunkli, R., Hajdu, A., Bálint, B.: Extending the visualization capabilities of a genome browser.
    In: 4th IEEE International Conference on Cognitive Infocommunications CogInfoCom 2013 : Proceedings, December 2-5, 2013 Budapest, Hungary. Ed.: Péter Baranyi, IEEE, Danvers, 419-422, 2013. ISBN: 97814799115439
2012
  1. Hajdu, A., Tóth, J., Pistár, Z., Domokos, B., Török, Z.: An ensemble-based collaborative framework to support customized user needs.
    In: 3rd IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2012 : Proceedings, December 2-5, 2012 Košice, Slovakia. Ed.: Péter Baranyi, IEEE, Danvers, 285-290, 2012. ISBN: 9781467351874
feltöltött közlemény: 27 Open Access: 9
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