Laszlo Csepanyi-Furjes

@uni-miskolc.hu

Faculty of Mechanical Engineering and Informatics
University of Miskolc

Laszlo Csepanyi-Furjes


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https://researchid.co/csepanyifurjes

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Education, Artificial Intelligence
4

Scopus Publications

24

Scholar Citations

2

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Evolving graph based knowledge space model for tutoring systems
    László Csépányi-Fürjes, László Kovács
    Pollack Periodica, 2024
    An intelligent tutoring system is a computer-based educational tool designed to provide adaptive learning environment to learners, mimicking the role of a human tutor. Its most typical areas of application are language learning, mathematics education, programming courses and medical training. Intelligent Tutoring Systems are based on the knowledge-module that is holding the system's knowledge in a well-structured format. Considering the current state of the art knowledge-module representations, a model that can represent evolving information is lacking. Representing evolving information is needed for those tutoring systems that are working with dynamically changing domains, e.g., software science. In this paper a new combined model is presented that is based on the ontology model and the fundamentals of knowledge space theory. The proposed model introduces the term of abstract time to be able to formulate an evolving knowledge graph. This paper introduces the term of evoking-hooks that makes it possible to realize connections between external domain elements and the nodes of the proposed model.
  • Transformer Models in Natural Language Processing
    László Kovács, László Csépányi-Fürjes, Walelign Tewabe
    Lecture Notes in Networks and Systems, 2024
  • Automated Assessment Generation in Intelligent Tutoring Systems
    László Kovács, László Csépányi-Fürjes, Ghanim Hussein Ali Ahmed
    Lecture Notes in Networks and Systems, 2022
  • Feature reduction for dependency graph construction in computational linguistics
    Ceur Workshop Proceedings, 2020

RECENT SCHOLAR PUBLICATIONS

  • Generalized domain tutoring framework for AI agents with integrated explainable AI techniques
    L Csépányi-Fürjes, L Kovács
    Indonesian Journal of Electrical Engineering and Computer Science 40 (2 … , 2025
    2025.0
  • CAPTURING KNOWLEDGE DYNAMICS IN THE EVOLVING KNOWLEDGE SPACE GRAPH USING TEMPORAL RELATIONS AND KNOWLEDGE AGING
    L CSÉPÁNYI-FÜRJES, L KOVÁCS
    2025.0
  • Evolving graph based knowledge space model for tutoring systems
    L Csépányi-Fürjes, L Kovács
    Pollack Periodica 19 (3), 40-45 , 2024
    2024.0
    Citations: 3
  • Megfelelően alkalmazva a generatív mesterséges intelligencia eszközök fejlesztik a hallgatók problémamegoldó képességeit
    L Csépányi-Fürjes, L Vass
    Production Systems and Information Engineering 12 (3), 68-81 , 2024
    2024.0
  • Transformer models in natural language processing
    L Kovács, L Csépányi-Fürjes, W Tewabe
    International Conference Interdisciplinarity in Engineering, 180-193 , 2023
    2023.0
    Citations: 15
  • Controllable and explainable AI framework in the automatic assessment domain
    L Csépányi-Fürjes
    Abstract book of 12th International Conference on Applied Informatics, 2-4 , 2023
    2023.0
    Citations: 2
  • Performance analysis of low dimensional word embeddings to support green computing
    L Csépányi-Fürjes
    Production Systems and Information Engineering 10 (2), 27-36 , 2022
    2022.0
    Citations: 1
  • Automated Assessment Generation in Intelligent Tutoring Systems
    L Kovács, L Csépányi-Fürjes, GHA Ahmed
    International Conference Interdisciplinarity in Engineering, 808-819 , 2021
    2021.0
  • Efficiency analysis of Deeplearning4J neural network classifiers in development of transition based dependency parsers
    L CSÉPÁNYI-FÜRJES, L KOVÁCS
    Acta Marisiensis Seria Technologica 18 (1), 33-9 , 2021
    2021.0
    Citations: 2
  • Feature Reduction for Dependency Graph Construction in Computational Linguistics.
    L Kovács, L Csépányi-Fürjes
    ICAI, 180-189 , 2020
    2020.0
    Citations: 1
  • Az átmenetalapú és gráf-transzformációs módszerek összevetése a mondatok függőségi elemzésénél
    L Kovács, L Csépányi-Fürjes
    MULTIDISZCIPLINÁRIS TUDOMÁNYOK: A MISKOLCI EGYETEM KÖZLEMÉNYE 9 (4), 348-355 , 2019
    2019.0
  • Tutoring Systems
    L Kovácsº, L Csépányi-Fürjes, GHA Ahmed

MOST CITED SCHOLAR PUBLICATIONS

  • Transformer models in natural language processing
    L Kovács, L Csépányi-Fürjes, W Tewabe
    International Conference Interdisciplinarity in Engineering, 180-193 , 2023
    2023.0
    Citations: 15
  • Evolving graph based knowledge space model for tutoring systems
    L Csépányi-Fürjes, L Kovács
    Pollack Periodica 19 (3), 40-45 , 2024
    2024.0
    Citations: 3
  • Controllable and explainable AI framework in the automatic assessment domain
    L Csépányi-Fürjes
    Abstract book of 12th International Conference on Applied Informatics, 2-4 , 2023
    2023.0
    Citations: 2
  • Efficiency analysis of Deeplearning4J neural network classifiers in development of transition based dependency parsers
    L CSÉPÁNYI-FÜRJES, L KOVÁCS
    Acta Marisiensis Seria Technologica 18 (1), 33-9 , 2021
    2021.0
    Citations: 2
  • Performance analysis of low dimensional word embeddings to support green computing
    L Csépányi-Fürjes
    Production Systems and Information Engineering 10 (2), 27-36 , 2022
    2022.0
    Citations: 1
  • Feature Reduction for Dependency Graph Construction in Computational Linguistics.
    L Kovács, L Csépányi-Fürjes
    ICAI, 180-189 , 2020
    2020.0
    Citations: 1
  • Generalized domain tutoring framework for AI agents with integrated explainable AI techniques
    L Csépányi-Fürjes, L Kovács
    Indonesian Journal of Electrical Engineering and Computer Science 40 (2 … , 2025
    2025.0
  • CAPTURING KNOWLEDGE DYNAMICS IN THE EVOLVING KNOWLEDGE SPACE GRAPH USING TEMPORAL RELATIONS AND KNOWLEDGE AGING
    L CSÉPÁNYI-FÜRJES, L KOVÁCS
    2025.0
  • Megfelelően alkalmazva a generatív mesterséges intelligencia eszközök fejlesztik a hallgatók problémamegoldó képességeit
    L Csépányi-Fürjes, L Vass
    Production Systems and Information Engineering 12 (3), 68-81 , 2024
    2024.0
  • Automated Assessment Generation in Intelligent Tutoring Systems
    L Kovács, L Csépányi-Fürjes, GHA Ahmed
    International Conference Interdisciplinarity in Engineering, 808-819 , 2021
    2021.0
  • Az átmenetalapú és gráf-transzformációs módszerek összevetése a mondatok függőségi elemzésénél
    L Kovács, L Csépányi-Fürjes
    MULTIDISZCIPLINÁRIS TUDOMÁNYOK: A MISKOLCI EGYETEM KÖZLEMÉNYE 9 (4), 348-355 , 2019
    2019.0
  • Tutoring Systems
    L Kovácsº, L Csépányi-Fürjes, GHA Ahmed