@article{MTMT:34829293,
	title = {An Overview on Evaluation Methods of Sequence Prediction Problems},
	url = {https://m2.mtmt.hu/api/publication/34829293},
	author = {Hornyák, Olivér},
	doi = {10.1007/978-3-031-54674-7_32},
	journal-iso = {LNNS},
	journal = {LECTURE NOTES IN NETWORKS AND SYSTEMS},
	volume = {929},
	unique-id = {34829293},
	issn = {2367-3370},
	year = {2024},
	eissn = {2367-3389},
	pages = {427-440},
	orcid-numbers = {Hornyák, Olivér/0000-0003-0989-6109}
}

@CONFERENCE{MTMT:34824925,
	title = {Heurisztikusan gyorsított Fuzzy szabály-interpoláció alapú Q-tanulás},
	url = {https://m2.mtmt.hu/api/publication/34824925},
	author = {Tompa, Tamás and Kovács, Szilveszter},
	booktitle = {OGÉT 2024 - XXXII. Nemzetközi Gépészeti Konferencia},
	unique-id = {34824925},
	abstract = {A klasszikus megerősítéses tanulási módszerek (Q-tanulás, SARSA, Fuzzy Q-tanulás), tudásbázisa kezdetben
		ismeretlen, a rendszer ezt a tanulási folyamat során alakítja ki a környezet visszajelzései alapján. Azonban, ha
		rendelkezésre áll egy részlegesen ismert tudásbázis, amely beilleszthető a tanulási folyamatba, akkor ez által
		a tanulás hatékonysága növelhető. A cikk bemutat egy olyan fuzzy szabály-interpolációs módszeren (’FIVE’)
		alapúló Q-tanulási módszert, amely alkalmas külső szakértői tudásbázis injektálására a tanulási folyamatba
		és alkalmas továbbá a pontatlanul megadott kezdeti szakértői tudásbázis finomhangolására a tanulási
		folyamat során, így pontosítva (optimalizálva) azt.},
	year = {2024},
	pages = {440-445},
	orcid-numbers = {Tompa, Tamás/0000-0003-4283-185X; Kovács, Szilveszter/0000-0001-7942-7290}
}

@article{MTMT:34792420,
	title = {A hazai közgazdász tudóstársadalom publikációs stratégiája: különbségek és ellentmondások a közgazdaságtudomány és a gazdálkodástudomány tudományágakban},
	url = {https://m2.mtmt.hu/api/publication/34792420},
	author = {Krajcsák, Zoltán and Sasvári, Péter László and Bakacsi, Gyula},
	journal-iso = {KÜLGAZDASÁG},
	journal = {KÜLGAZDASÁG},
	volume = {68},
	unique-id = {34792420},
	issn = {0324-4202},
	abstract = {Megjelenés alatt. Bolyai Ösztöndíj pályázat céljából feltöltve.},
	year = {2024},
	orcid-numbers = {Krajcsák, Zoltán/0000-0003-2021-4949; Sasvári, Péter László/0000-0002-4031-4843; Bakacsi, Gyula/0000-0001-5292-2865}
}

@book{MTMT:34778161,
	title = {A nemzetközi tudományos láthatóság eszközei. Tizenkét tanulmány a sikeres tudományosklub-taggá válás útjáról},
	url = {https://m2.mtmt.hu/api/publication/34778161},
	isbn = {9789634549673},
	author = {Sasvári, Péter László and Urbanovics, Anna},
	doi = {10.1556/9789634545673},
	publisher = {Akadémiai Kiadó Zrt.; Ludovika Press},
	unique-id = {34778161},
	year = {2024},
	orcid-numbers = {Sasvári, Péter László/0000-0002-4031-4843; Urbanovics, Anna/0000-0003-2163-7273}
}

@inproceedings{MTMT:34770083,
	title = {Transformer Models in Natural Language Processing},
	url = {https://m2.mtmt.hu/api/publication/34770083},
	author = {Kovács, László and Csépányi-Fürjes, László and Sewunetie, Walelign Tewabe},
	booktitle = {The 17th International Conference Interdisciplinarity in Engineering},
	doi = {10.1007/978-3-031-54674-7_14},
	unique-id = {34770083},
	abstract = {The development of transformer-based language models brings a paradigm shift in the world of smart applications. The ChatGPT model opened new horizons in the field of natural language understanding and generation. This paper presents a survey on the history of transformer models, on the basic architecture and application areas. The last section is devoted to two use cases experiments on the application of ChatGPT. The first domain relates to Human-Level Programming and the second focuses on the semantic functional parsing of text sentences. The performed analysis demonstrates the big potential in the transformer language models.},
	year = {2024},
	pages = {180-193},
	orcid-numbers = {Csépányi-Fürjes, László/0000-0001-5687-1671}
}

@article{MTMT:34721788,
	title = {A Comparative Study of ChatGPT-Based and Hybrid Parser-based Sentence Parsing Methods for Semantic Graph-Based Induction},
	url = {https://m2.mtmt.hu/api/publication/34721788},
	author = {Sewunetie, Walelign Tewabe and Kovács, László},
	doi = {10.1109/ACCESS.2024.3360480},
	journal-iso = {IEEE ACCESS},
	journal = {IEEE ACCESS},
	unique-id = {34721788},
	issn = {2169-3536},
	year = {2024},
	eissn = {2169-3536}
}

@article{MTMT:34695021,
	title = {Structure-Aware Scheduling Algorithm for Deadline-Constrained Scientific Workflows in the Cloud},
	url = {https://m2.mtmt.hu/api/publication/34695021},
	author = {Al-Haboobi, Ali and Kecskeméti, Gábor},
	doi = {10.14569/IJACSA.2024.0150280},
	journal-iso = {IJACSA},
	journal = {INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS},
	volume = {15},
	unique-id = {34695021},
	issn = {2158-107X},
	abstract = {Cloud computing provides pay-per-use IT services through the Internet. Although cloud computing resources can help scientific workflow applications, several algorithms face the problem of meeting the user’s deadline while minimising the cost of workflow execution. In the cloud, selecting the appropriate type and the exact number of VMs is a major challenge for scheduling algorithms, as tasks in workflow applications are distributed very differently. Depending on workflow requirements, algorithms need to decide when to provision or de-provision VMs. Therefore, this paper presents an algorithm for effectively selecting and allocating resources. Based on the workflow structure, it decides the type and number of VMs to use and when to lease and release them. For some structures, our proposed algorithm uses the initial rented VMs to schedule all tasks of the same workflow to minimise data transfer costs. We evaluate the performance of our algorithm by simulating it with synthetic workflows derived from real scientific workflows with different structures. Our algorithm is compared with Dyna and CGA approaches in terms of meeting deadlines and execution costs. The experimental results show that the proposed algorithm met all the deadline factors of each workflow, while the CGA and Dyna algorithms met 25% and 50%, respectively, of all the deadline factors of all workflows. The results also show that the proposed algorithm provides more cost-efficient schedules than CGA and Dyna.},
	year = {2024},
	eissn = {2156-5570},
	pages = {792-802},
	orcid-numbers = {Kecskeméti, Gábor/0000-0001-5716-8857}
}

@article{MTMT:34628060,
	title = {Conceptual clustering with application on FCA context},
	url = {https://m2.mtmt.hu/api/publication/34628060},
	author = {Kovács, László},
	doi = {10.1016/j.eswa.2023.123013},
	journal-iso = {EXPERT SYST APPL},
	journal = {EXPERT SYSTEMS WITH APPLICATIONS},
	volume = {245},
	unique-id = {34628060},
	issn = {0957-4174},
	keywords = {K-means clustering; formal concept analysis; Conceptual clustering; Concept lattice reduction; Quality threshold clustering},
	year = {2024},
	eissn = {1873-6793}
}

@article{MTMT:34577142,
	title = {Integrating Blockchain Technology with Internet of things},
	url = {https://m2.mtmt.hu/api/publication/34577142},
	author = {Soulaimani, Yassir and Nehéz, Károly},
	doi = {10.32968/psaie.2024.1.2},
	journal-iso = {PROD SYST INFORM ENG},
	journal = {PRODUCTION SYSTEMS AND INFORMATION ENGINEERING},
	volume = {12},
	unique-id = {34577142},
	issn = {1785-1270},
	year = {2024},
	pages = {15-27},
	orcid-numbers = {Nehéz, Károly/0000-0002-6953-3898}
}

@{MTMT:34573751,
	title = {INTELLIGENS OKTATÓRENDSZEREK GRÁF ALAPÚ TUDÁSÁLLAPOT VIZUALIZÁCIÓJA},
	url = {https://m2.mtmt.hu/api/publication/34573751},
	author = {Csépányi-Fürjes, László and Kovács, László},
	booktitle = {Oktatás - Informatika - Pedagógia 2024},
	unique-id = {34573751},
	year = {2024},
	pages = {20-20},
	orcid-numbers = {Csépányi-Fürjes, László/0000-0001-5687-1671}
}