Оригинал (Original)
Автори: Уйкани, Б. Т., Минковска, Д. В., Стоянова, Л. Й.
Заглавие: Application of Logistic Regression Technique for Predicting Student Dropout
Ключови думи: student dropout, higher education, machine learning, logisti

Библиография

    Издание

    XXXI International Scientific Conference Electronics - ET2022, 2022, България, Sozopol, DOI 10.1109/ET55967.2022.9920280
    		Autors: Ujkani, B. T., Minkovska, D. V., Stoyanova, L. Y.
    Title: Application of Logistic Regression Technique for Predicting Student Dropout
    Keywords: student dropout, higher education, machine learning, logistic regression, numpy, scikit-learn

    References

      Issue

      XXXI International Scientific Conference Electronics - ET2022, 2022, Bulgaria, Sozopol, DOI 10.1109/ET55967.2022.9920280

      Цитирания (Citation/s):
      1. Yunga Pedraza, Joel Omar, Estudio del estado del arte sobre la predicción de deserción universitaria usando machine learning, UNIVERSIDAD POLITÉCNICA SALESIANA SEDE QUITO, CARRERA DE COMPUTACIÓN, Quito, Ecuador, 2023 - 2023 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
      2. Spassov, S., Cyber Threats to Nuclear Security and the Role of Education, 2023 11th International Scientific Conference on Computer Science, COMSCI 2023 – Proceedings, ISBN 979-835032525-6, DOI 10.1109/COMSCI59259.2023.10315941 - 2023 - в издания, индексирани в Scopus и/или Web of Science
      3. Alghamdi, S., Soh, B., Li, A., A Comprehensive Review of Dropout Prediction Methods Based on Multivariate Analysed Features of MOOC Platforms, Multimodal Technologies and Interaction, Volume 9, Issue 1 January 2025, Article number 3, ISSN 24144088, DOI 10.3390/mti9010003 - 2025 - в издания, индексирани в Scopus
      4. Luana Souza de Andrade, Magno da Silva Correia, Hércules Antonio do Prado, Edilson Ferneda, Maturidade em orientação a dados: proposta de boas práticas para instituições de ensino superior, Revista de Gestão e Avaliação Educacional, March 2025, DOI: 10.5902/2318133889778 - 2025 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
      5. Anjana S, Dr. V. Vijayakumar, Student Dropout Prediction, April 2025, International Journal of Advanced Research in Science Communication and Technology, DOI: 10.48175/IJARSCT-25225 - 2025 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
      6. Laury Arenales, Vladimir Villarreal, Juan Jose Saldana-Barrios, Predictive model based on artificial intelligence and contextual awareness to identify students at risk of dropping out of university in Panama, July 2025, Ingeniería Solidaria 21(1):1-23, DOI: 10.16925/2357-6014.2025.01.08 - 2025 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
      7. José Manuel Magallanes Reyes, Neural networks in social inquiry: From hypotheses to heuristics, January 2025, DOI: 10.1016/B978-0-443-26629-4.00109-X, In book: Reference Module in Social Sciences - 2025 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
      8. Doae Morsou, Asmaâ Retbi, Artificial Intelligence and School Dropout: A Focus on Psychosocial Factors in Predictive Models, November 2025, DOI: 10.1007/978-3-032-09562-6_4, In book: Intelligent Systems, Blockchain, and Communication Technologies - 2025 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
      9. Cordova-Esparza D.-M., Terven J., Romero-Gonzalez J.-A., Cordova-Esparza K.-E., Lopez-Martinez R.-E., Garcia-Ramirez T., Chaparro-Sanchez R., Predicting and Preventing School Dropout with Business Intelligence: Insights from a Systematic Review, 2025, Information Switzerland, issue 4, vol. 16, DOI 10.3390/info16040326, eissn 20782489 - 2025 - в издания, индексирани в Scopus
      10. Na J., Kim K.W., Kim H.G., A Study on Exploiting Temporal Patterns in Semester Records for Efficient Student Dropout Prediction, 2025, Electronics Switzerland, issue 22, vol. 14, DOI 10.3390/electronics14224356, eissn 20799292 - 2025 - в издания, индексирани в Scopus

      Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus