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Alkalmazott Matematikai és Valószínűségszámítási Tanszék

Alkalmazott Matematikai és Valószínűségszámítási Tanszék

Név: Alkalmazott Matematikai és Valószínűségszámítási Tanszék
Cím: 4028 Debrecen, Kassai út 26.
Telefonszám: (36)-52-512900 / (36)-52-512900 / 22825
Fax: (36)-52-416857

Teljes publikációs lista

Hiányzó közlemények feltöltése
OA letöltési statisztika megtekintése
Feltöltött közlemény:
487
DEA-ban:
341
OA:
119
Publikációs időszak:
1959-2024
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.
    Folyóirat-mutatók:
    Q2 Artificial Intelligence (2023)
    Q2 Computer Science Applications (2023)
    Q2 Information Systems (2023)
    Q2 Management Information Systems (2023)
  2. Baran, Á., Baran, S.: A two-step machine learning approach to statistical post-processing of weather forecasts for power generation.
    Q. J. R. Meteorol. Soc. 150 (759), 1029-1047, 2024.
    Folyóirat-mutatók:
    D1 Atmospheric Science (2023)
  3. Baran, S., Nagy-Lakatos, M.: Clustering-based spatial interpolation of parametric post-processing models.
    Weather Forecast. 39 (11), 1591-1604, 2024.
    Folyóirat-mutatók:
    Q1 Atmospheric Science (2023)
  4. Leutbecher, M., Baran, S.: Ensemble size dependence of the logarithmic score for forecasts issued as multivariate normal distributions.
    Q. J. R. Meteorol. Soc. [Epub ahead of print] (-), 1-16, 2024.
    Folyóirat-mutatók:
    D1 Atmospheric Science (2023)
2023
  1. Fazekas, I., Barta, A., Noszály, C., Porvázsnyik, B.: A continuous-time network evolution model describing 3-interactions.
    Commun. Stat.-Theory Methods. 52 (11), 4001-4020, 2023.
    Folyóirat-mutatók:
    Q3 Statistics and Probability
  2. Nagy-Lakatos, M., Lerch, S., Hemri, S., Baran, S.: Comparison of multivariate post-processing methods using global ECMWF ensemble forecasts.
    Q. J. R. Meteorol. Soc. 149 (752), 856-877, 2023.
    Folyóirat-mutatók:
    D1 Atmospheric Science
  3. 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)
  4. Fazekas, I., Fórián, L., Barta, A.: Deep Learning from Noisy Labels with Some Adjustments of a Recent Method.
    Infocommun. J. 15 (Special), 9-12, 2023.
    Folyóirat-mutatók:
    Q3 Computer Science (miscellaneous)
    Q3 Electrical and Electronic Engineering
  5. Szabó, M., Gascón, E., Baran, S.: Parametric Postprocessing of Dual-Resolution Precipitation Forecasts.
    Weather Forecast. 38 (8), 1313-1322, 2023.
    Folyóirat-mutatók:
    Q1 Atmospheric Science
  6. Baran, S., Nagy-Lakatos, M.: Statistical post-processing of visibility ensemble forecasts.
    Meteorol. Appl. 30 (5), 1-18, 2023.
    Folyóirat-mutatók:
    Q2 Atmospheric Science
  7. Szépszó, G., Baran, Á., Baran, S., Jávorné, R., Kornyik, M., Tajti, D.: Sugárzásra és magassági szélre vonatkozó rövidtávú előrejelzések operatív statisztikai utófeldolgozása.
    Légkör. 68 (3), 118-125, 2023.
  8. Petneházi, G., Gáll, J.: Testing the Lee-Carter model on Hungarian mortality data.
    Acta Oecon. 73 (1), 171-182, 2023.
    Folyóirat-mutatók:
    Q4 Economics and Econometrics
2022
  1. Fazekas, I.: 2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS): Proceedings: May 16-18, 2022. : Online on CISCO Webex platform.
    Institute of Electrical and Electronics Engineers (IEEE), Piscataway, 337 p., 2022. ISBN: 9781665496537
  2. Bakó, J., Tóth, F., Gáll, J., Kovács, R., Csik, A., Varga, I., Sculean, A., Zelkó, R., Hegedűs, C.: Combined Release of Antiseptic and Antibiotic Drugs from Visible Light Polymerized Biodegradable Nanocomposite Hydrogels for Periodontitis Treatment.
    Pharmaceutics. 14 (5), 1-19, 2022.
    Folyóirat-mutatók:
    Q1 Pharmaceutical Science
  3. Holb, I., Dremák, P., Barkaszi, I., Abonyi, F., Lakatos, P., Gáll, J., Vasileiadis, V., Gonda, I.: Developing a management strategy based on the relationships between brown rot and codling moth in two apple production systems.
    Agron. Sustain. Dev. 42 (2), 1-16, 2022.
    Folyóirat-mutatók:
    D1 Agronomy and Crop Science
    D1 Environmental Engineering
  4. Sebestyén, K., Csapó, G., Csernoch, M., Aradi, B.: Error Recognition Model: End-user Text Management.
    Acta Polytech. Hung. 19 (1), 151-170, 2022.
    Folyóirat-mutatók:
    Q2 Engineering (miscellaneous)
    Q2 Multidisciplinary
  5. Rácz, A.: Mixed-integer linear-fractional programming model and it's linear analogue for reducing inconsistency of pairwise comparison matrices.
    Inf. Sci. 592 192-205, 2022.
    Folyóirat-mutatók:
    D1 Artificial Intelligence
    D1 Computer Science Applications
    D1 Control and Systems Engineering
    Q1 Information Systems and Management
    D1 Software
    D1 Theoretical Computer Science
  6. Čuprunov, A., Fazekas, I.: On the Numbers of Particles in Cells in an Allocation Scheme Having an Even Number of Particles in Each Cell.
    Mathematics. 10 1-22, 2022.
    Folyóirat-mutatók:
    Q2 Computer Science (miscellaneous)
    Q2 Engineering (miscellaneous)
    Q2 Mathematics (miscellaneous)
2021
  1. Fazekas, I., Barta, A.: A Continuous-Time Network Evolution Model Describing 2- and 3-Interactions.
    Mathematics. 9 (23), 1-26, 2021.
    Folyóirat-mutatók:
    Q2 Computer Science (miscellaneous)
    Q2 Engineering (miscellaneous)
    Q2 Mathematics (miscellaneous)
  2. Dömösi, P., Gáll, J., Horváth, G., Borsos, B., Tihanyi, N., Al, H.: A Full Cycle Length Pseudorandom Number Generator Based on Compositions of Automata.
    Informatica. 45 (2), 179-189, 2021.
    Folyóirat-mutatók:
    Q4 Artificial Intelligence
    Q3 Computer Science Applications
    Q4 Software
    Q4 Theoretical Computer Science
  3. Nsaif, M., Kovásznai, G., Rácz, A., Malik, A., de Fréin, R.: An Adaptive Routing Framework for Efficient Power Consumption in Software-Defined Datacenter Networks.
    Electronics (Switzerland). 10 (23), 1-18, 2021.
    Folyóirat-mutatók:
    Q2 Computer Networks and Communications
    Q2 Control and Systems Engineering
    Q2 Electrical and Electronic Engineering
    Q2 Hardware and Architecture
    Q2 Signal Processing
Mindet mutasd
frissítve: 2024-12-15, 02:45

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