@{MTMT:34342977,
	title = {Paleozoikum},
	url = {https://m2.mtmt.hu/api/publication/34342977},
	author = {Halász, Amadé and Haranginé Lukács, Réka and Koroknai, B and Less, György and Raucsikné Varga, Andrea Beáta and Lelkesné Felvári, Gy and Józsa, Sándor and Kovács, Sándor and Király, Edit and Benkó, Zsolt and Majoros, Gy and Pentelényi, L and Szederkényi, T and Rálischné Felgenhauer, E and Pelikán, P and Szemerédi, Máté and Konrád, Gy and Barabásné Stuhl, Á and Pál-Molnár, E},
	booktitle = {Magyarország litosztratigráfiai egységeinek leírása I.},
	unique-id = {34342977},
	year = {2023},
	pages = {43-112},
	orcid-numbers = {Halász, Amadé/0000-0003-4582-8883; Haranginé Lukács, Réka/0000-0002-2338-4209; Raucsikné Varga, Andrea Beáta/0000-0002-8673-1482; Józsa, Sándor/0000-0001-8219-0044; Szemerédi, Máté/0000-0002-7432-8418}
}

@book{MTMT:33825476,
	title = {Magyarország litosztratigráfiai egységeinek leírása I.. Prekainozoos képződmények},
	url = {https://m2.mtmt.hu/api/publication/33825476},
	isbn = {9789636713287},
	editor = {Babinszki, Edit and Piros, Olga and Budai, Tamás and Gyalog, László and Halász, Amadé and Király, Edit and Koroknai, B and Haranginé Lukács, Réka and M. Tóth, Tivadar},
	publisher = {Supervisory Authority for Regulatory Affairs},
	unique-id = {33825476},
	year = {2023},
	orcid-numbers = {Halász, Amadé/0000-0003-4582-8883; Haranginé Lukács, Réka/0000-0002-2338-4209; M. Tóth, Tivadar/0000-0003-1012-1095}
}

@article{MTMT:33733477,
	title = {Application of a CNN to the Boda Claystone Formation for high-level radioactive waste disposal},
	url = {https://m2.mtmt.hu/api/publication/33733477},
	author = {Lovász, Virág and Halász, Amadé and Molnár, Péter and Karsa, Róbert and Halmai, Ákos},
	doi = {10.1038/s41598-023-31564-1},
	journal-iso = {SCI REP},
	journal = {SCIENTIFIC REPORTS},
	volume = {13},
	unique-id = {33733477},
	issn = {2045-2322},
	abstract = {Nations relying on nuclear power generation face great responsibilities when designing their firmly secured final repositories. In Hungary, the potential host rock [the Boda Claystone Formation (BCF)] of the deep geological repository is under extensive examination. To promote a deeper comprehension of potential radioactive isotope transport and ultimately synthesis for site evaluation purposes, we have efficiently tailored geospatial image processing using a convolutional neural network (CNN). We customized the CNN according to the intricate nature of the fracture geometries in the BCF, enabling the recognition process to be particularly sensitive to details and to interpret them in the correct tectonic context. Furthermore, we set the highest processing scale standards to measure the performance of our model, and the testing circumstances intentionally involved various technological and geological hindrances. Our presented model reached ~ 0.85 precision, ~ 0.89 recall, an ~ 0.87 F1 score, and a ~ 2° mean error regarding dip value extraction. With the combination of a CNN and geospatial methodology, we present the description, performance, and limits of a fully automated workflow for extracting BCF fractures and their dipping data from scanned cores.},
	keywords = {Convolutional Neural Networks (CNN); Boda Claystone},
	year = {2023},
	eissn = {2045-2322},
	orcid-numbers = {Halász, Amadé/0000-0003-4582-8883; Karsa, Róbert/0000-0003-0502-1508; Halmai, Ákos/0000-0001-5722-8119}
}

@{MTMT:33553817,
	title = {A középső perm Bodai Agyagkő (Ny-Mecsek) kutatásának rétegtani eredményei},
	url = {https://m2.mtmt.hu/api/publication/33553817},
	author = {Konrád, Gyula and Halász, Amadé and Hámos, Gábor and Sebe, Krisztina and Molnár, Péter},
	booktitle = {Bodai Agyagkő Formáció (BAF) kutatásának legújabb eredményei},
	unique-id = {33553817},
	year = {2022},
	pages = {102-103},
	orcid-numbers = {Halász, Amadé/0000-0003-4582-8883; Sebe, Krisztina/0000-0002-4647-2199}
}

@article{MTMT:32547987,
	title = {Vulnerability mapping of karst springs and its application for the delineation of protection zones (Mecsek Karst, Hungary)},
	url = {https://m2.mtmt.hu/api/publication/32547987},
	author = {Farics, Éva and Halász, Amadé and Czigány, Szabolcs and Pirkhoffer, Ervin},
	doi = {10.3986/ac.v50i2-3.8583},
	journal-iso = {ACTA CARSOLOGICA},
	journal = {ACTA CARSOLOGICA},
	volume = {50},
	unique-id = {32547987},
	issn = {0583-6050},
	year = {2021},
	eissn = {1580-2612},
	pages = {301-315},
	orcid-numbers = {Halász, Amadé/0000-0003-4582-8883; Czigány, Szabolcs/0000-0002-9158-3162; Pirkhoffer, Ervin/0000-0003-2917-3290}
}

@inproceedings{MTMT:32492797,
	title = {Deep Learning megoldások alkalmazhatóságának vizsgálata földtani környezetben, a Bodai Agyagkő Formáció tektonikai töréseinek példáján},
	url = {https://m2.mtmt.hu/api/publication/32492797},
	author = {Lovász, Virág and Karsa, Róbert and Halász, Amadé and Halmai, Ákos},
	booktitle = {Az elmélet és a gyakorlat találkozása a térinformatikában XII.: Theory meets practice in GIS},
	unique-id = {32492797},
	abstract = {In Hungary, the planned high level radioactive waste repository is scheduled to be implemented around 2050. Country wide screening found the Permian Boda Claystone Formation (BCF) as the most suitable host rock (Kovács et al. 1999; Konrád – Hámos 2006). Ongoing researches aim to find the potential locations that can be considered safe for storage purposes (RHK 2019). Automated fracture detection could majorly speed up the work of geologist experts. Deep learning (DL) is suitable for our task given its distinguishing features: producing bias-free logic by the data itself, and being able to find nondescript correlations through its multilayer network (Paluszek – Thomas 2020). The construction of the most efficient DL process regarding the fractures expected to be devised thoroughly. This paper compares the performance of Faster R-CNN with different backbone architectures, to establish reliable foundation for this task.},
	year = {2021},
	pages = {175-180},
	orcid-numbers = {Halász, Amadé/0000-0003-4582-8883; Halmai, Ákos/0000-0001-5722-8119}
}

@CONFERENCE{MTMT:32468780,
	title = {A permi Boda Agyagkő Formáció (BAF) vizsgálata Deep Learning alapú eszközökkel},
	url = {https://m2.mtmt.hu/api/publication/32468780},
	author = {Lovász, Virág and Halász, Amadé and Nagyváradi, László and Halmai, Ákos},
	booktitle = {Modern Geográfia - 15},
	unique-id = {32468780},
	year = {2021},
	pages = {18-18},
	orcid-numbers = {Halász, Amadé/0000-0003-4582-8883; Halmai, Ákos/0000-0001-5722-8119}
}

@article{MTMT:32075224,
	title = {Késő negyedidőszaki szeizmikus aktivitás nyomai futóhomokban, a Dunaszentgyörgy–Harta vetőzónában},
	url = {https://m2.mtmt.hu/api/publication/32075224},
	author = {Konrád, Gyula and Sebe, Krisztina and Halász, Amadé},
	doi = {10.23928/foldt.kozl.2021.151.2.179},
	journal-iso = {FÖLDTANI KÖZLÖNY},
	journal = {FÖLDTANI KÖZLÖNY},
	volume = {151},
	unique-id = {32075224},
	issn = {0015-542X},
	year = {2021},
	eissn = {2559-902X},
	pages = {179-200},
	orcid-numbers = {Sebe, Krisztina/0000-0002-4647-2199; Halász, Amadé/0000-0003-4582-8883}
}

@{MTMT:30869173,
	title = {Micromorphological interpretations of Permian playa mudflat interbeds},
	url = {https://m2.mtmt.hu/api/publication/30869173},
	author = {Halász, Amadé},
	booktitle = {Kölner Forum für Geologie und Paläontologie},
	unique-id = {30869173},
	year = {2019},
	pages = {138}
}

@{MTMT:30867627,
	title = {The presence of pedogenic processes in Permian red clays, in South-Hungary},
	url = {https://m2.mtmt.hu/api/publication/30867627},
	author = {Halász, Amadé},
	booktitle = {7. International Earth Science Colloquium On the Aegean Region 2019},
	unique-id = {30867627},
	year = {2019},
	pages = {102}
}