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Special Issue “Statistical Data Modeling and Machine Learning with Applications II”

Author

Listed:
  • Snezhana Gocheva-Ilieva

    (Department of Mathematical Analysis, University of Plovdiv Paisii Hilendarski, 4000 Plovdiv, Bulgaria)

  • Atanas Ivanov

    (Department of Mathematical Analysis, University of Plovdiv Paisii Hilendarski, 4000 Plovdiv, Bulgaria)

  • Hristina Kulina

    (Department of Mathematical Analysis, University of Plovdiv Paisii Hilendarski, 4000 Plovdiv, Bulgaria)

Abstract

Currently, we are witnessing rapid progress and synergy between mathematics and computer science [...]

Suggested Citation

  • Snezhana Gocheva-Ilieva & Atanas Ivanov & Hristina Kulina, 2023. "Special Issue “Statistical Data Modeling and Machine Learning with Applications II”," Mathematics, MDPI, vol. 11(12), pages 1-4, June.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:12:p:2775-:d:1174813
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    References listed on IDEAS

    as
    1. Michal Pavlicko & Mária Vojteková & Oľga Blažeková, 2022. "Forecasting of Electrical Energy Consumption in Slovakia," Mathematics, MDPI, vol. 10(4), pages 1-20, February.
    2. Saddam Aziz & Muhammad Talib Faiz & Adegoke Muideen Adeniyi & Ka-Hong Loo & Kazi Nazmul Hasan & Linli Xu & Muhammad Irshad, 2022. "Anomaly Detection in the Internet of Vehicular Networks Using Explainable Neural Networks (xNN)," Mathematics, MDPI, vol. 10(8), pages 1-23, April.
    3. Yunquan Song & Zitong Li & Minglu Fang, 2022. "Robust Variable Selection Based on Penalized Composite Quantile Regression for High-Dimensional Single-Index Models," Mathematics, MDPI, vol. 10(12), pages 1-17, June.
    4. Snezhana Gocheva-Ilieva & Atanas Ivanov & Hristina Kulina & Maya Stoimenova-Minova, 2023. "Multi-Step Ahead Ex-Ante Forecasting of Air Pollutants Using Machine Learning," Mathematics, MDPI, vol. 11(7), pages 1-26, March.
    5. Jay Raval & Pronaya Bhattacharya & Nilesh Kumar Jadav & Sudeep Tanwar & Gulshan Sharma & Pitshou N. Bokoro & Mitwalli Elmorsy & Amr Tolba & Maria Simona Raboaca, 2023. "RaKShA : A Trusted Explainable LSTM Model to Classify Fraud Patterns on Credit Card Transactions," Mathematics, MDPI, vol. 11(8), pages 1-27, April.
    6. Slavi Georgiev & Venelin Todorov, 2023. "Efficient Monte Carlo Methods for Multidimensional Modeling of Slot Machines Jackpot," Mathematics, MDPI, vol. 11(2), pages 1-18, January.
    7. Michail Tsagris, 2022. "The FEDHC Bayesian Network Learning Algorithm," Mathematics, MDPI, vol. 10(15), pages 1-28, July.
    8. Ivan De Boi & Carl Henrik Ek & Rudi Penne, 2023. "Surface Approximation by Means of Gaussian Process Latent Variable Models and Line Element Geometry," Mathematics, MDPI, vol. 11(2), pages 1-20, January.
    9. Aleksandar Aleksić & Milan Ranđelović & Dragan Ranđelović, 2023. "Using Machine Learning in Predicting the Impact of Meteorological Parameters on Traffic Incidents," Mathematics, MDPI, vol. 11(2), pages 1-30, January.
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