personal data approved: 2024. VII. 05.
| Personal data | |
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| name | Gergely Bencsik |
| year of birth | 1982 |
| name of institution | |
| doctoral school | ELTE Doctoral School of Informatics (Supervisor) |
| the share of work in the different doctoral schools. | ELTE Doctoral School of Informatics 100% |
| accreditation statement submitted to: | Eötvös Loránd University, Budapest |
| Contact details | |
| E-mail address | bg INF.ELTE.HU |
| own web page | |
| Academic title | |
| scientific degree, title | Ph.D. |
| year degree was obtained | 2016 |
| discipline to which degree belongs | computer sciences |
| institution granting the degree | University of West Hungary |
| Employment | |
| 2020 - | Eötvös Loránd University, Budapest university professor or researcher |
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| Research | |
| research area | Data science, data analysis, statistical tests. Data handling and databases. Further research area is the methodology of data analysis result’s reliability. |
| research field in which current research is conducted | computer sciences |
| Publications | |||
2024 |
Bencsik Gergely, Pödör Zoltán: Theoretical background of numerical-based input data extension and reliability analysis for machine learning, ANNALES UNIVERSITATIS SCIENTIARUM BUDAPESTINENSIS DE ROLANDO EOTVOS NOMINATAE SECTIO COMPUTATORICA 56: type of document: Journal paper/Article language: English |
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| 2023 |
Zoltán Pödör, Gergely Bencsik: New Research Methodology to Analyze Time Series and Correlations’ Reliability, In: Boudia, Mohamed Amine; Eom, Sean; Lejdel, Brahim; Balas, Valentina Emilia; Laouar, Mohamed Ridda (szerk.) 12th International Conference on Information Systems and Advanced Technologies “ICISAT 2022”, Springer Netherlands (2023) pp. 177-185. type of document: Part of book/Proceedings Paper language: English URL |
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| 2022 |
Bencsik Gergely: Oktatásmódszertani tapasztalatok az online informatikai oktatásban, In: I. FELSŐOKTATÁS FELSŐFOKON KONFERENCIA, (2022) p. 97. type of document: language: Hungarian |
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| 2020 |
Gergely Bencsik, Zoltán Pödör: Complex framework to expand the time series analysis possibilities and to determine the reliability of the given correlations, In: Abonyi-Tóth, Andor; Stoffa, Veronika; Zsakó, László (szerk.) New Methods and Technologies in Education, Research and Practice, ELTE Informatikai Kar (2020) pp. 425-434. type of document: Part of book/Proceedings Paper language: English |
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| 2019 |
Bacsárdi László, Bencsik Gergely, Pödör Zoltán: OGIK'2018 Országos Gazdaságinformatikai Konferencia - Válogatott közlemények, Alexander Alapítvány a Jövő Értelmiségéért type of document: Book/Konferenciakötet (to be translated) language: Angol, Magyar |
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| 2018 |
Gergely Bencsik: Random Correlation Methodology as a Tool for Analyzing Random Factor of Scientific Results, SEFBIS JOURNAL 12: pp. 11-20. type of document: Journal paper/Article language: English |
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| 2018 |
László Bacsárdi, Gergely Bencsik, Zoltán Pödör: Big Data Analytics Possibilities for the Space Domain, SEFBIS JOURNAL 2018: (12) pp. 40-48. type of document: Journal paper/Article language: English |
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| 2017 |
László Bacsárdi, Gergely Bencsik, Zoltán Pödör: New Methodologies To Analyze Big Data From Space With a Special Focus on Earth Observation Data, In: P, Soille; P G, Marchetti (szerk.) Proceedings of the 2017 Conference on Big Data From Space, s.n. (2017) pp. 410-413. type of document: Part of book/Proceedings Paper language: English URL |
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| 2016 |
Gergely Bencsik, László Bacsárdi: Novel Methods for Analyzing Random Effects on ANOVA and Regression Techniques, In: Susumu, Kunifuji; George, Angelos Papadopoulos; Andrzej, M J Skulimowski; Janusz, Kacprzyk (szerk.) Knowledge, Information and Creativity Support Systems, Springer Netherlands (2016) pp. 499-509. type of document: Part of book/Könyvfejezet (to be translated) number of independent citations: 1 language: English |
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| 2015 |
Gergely Bencsik, László Bacsárdi: Towards to decision support generalization: the Universal Decision Support System Concept, In: Szakál, A (szerk.) INES 2015 - IEEE 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENGINEERING SYSTEMS, IEEE (2015) pp. 277-282. type of document: Part of book/Proceedings Paper number of independent citations: 7 language: English URL |
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