@CONFERENCE{MTMT:32755010,
	title = {ELVISort: Encoding Latent Variables for Instant Sorting},
	url = {https://m2.mtmt.hu/api/publication/32755010},
	author = {Rokai, János and Rácz, Melinda and Fiáth, Richárd and Ulbert, István and Márton, Gergely},
	booktitle = {International Neuroscience Meeting, Budapest 2022},
	unique-id = {32755010},
	year = {2022},
	orcid-numbers = {Rokai, János/0000-0001-8606-298X; Rácz, Melinda/0000-0002-6166-7699; Fiáth, Richárd/0000-0001-8732-2691; Ulbert, István/0000-0001-9941-9159}
}

@inproceedings{MTMT:32644299,
	title = {HuLU: magyar nyelvű benchmark adatbázis kiépítése a neurális nyelvmodellek kiértékelése céljából},
	url = {https://m2.mtmt.hu/api/publication/32644299},
	author = {Ligeti-Nagy, Noémi and Ferenczi, Gergő and Héja, Enikő and Jelencsik-Mátyus, Kinga and Laki, László János and Vadász, Noémi and Yang, Zijian Győző and Váradi, Tamás},
	booktitle = {XVIII. Magyar Számítógépes Nyelvészeti Konferencia : MSZNY 2022},
	unique-id = {32644299},
	year = {2022},
	pages = {431-446}
}

@CONFERENCE{MTMT:31436461,
	title = {Automatic Tag Recommendation for News Articles},
	url = {https://m2.mtmt.hu/api/publication/31436461},
	author = {Yang, Zijian Győző and Novák, Attila and Laki, László János},
	booktitle = {Proceedings of the 11th International Conference on Applied Informatics (ICAI 2020)},
	unique-id = {31436461},
	abstract = {In this paper, we present an automatic neural tag recommendation system for Hungarian news articles and the results of our experiments concerning the effect of preprocessing applied to the texts and various parameter settings. A novelty of the approach is a combination of subword tokenization with character-n-gram-based representations, which resulted in high gains in recall. The best system yields 76% precision at 58% recall. Subjective performance is higher, because suggested labels missing from the reference often fit the document well or are similar to missing reference labels. We also created an online GUI for the tag recommendation system that makes it possible for the user to interactively set threshold parameters facilitating customization of precision and recall. Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).},
	year = {2020},
	pages = {442-451}
}

@article{MTMT:31123305,
	title = {Spatio-temporal Modelling of Tumor Progression and Angiogenesis},
	url = {https://m2.mtmt.hu/api/publication/31123305},
	author = {Tamás, Gönczy and Csercsik, Dávid and Kovács, Levente},
	journal-iso = {JEDLIK LABOR REP},
	journal = {JEDLIK LABORATORIES REPORTS},
	volume = {7},
	unique-id = {31123305},
	issn = {2064-3942},
	year = {2019},
	pages = {25-28},
	orcid-numbers = {Kovács, Levente/0000-0002-3188-0800}
}

@inproceedings{MTMT:30684688,
	title = {Universal Portable SDE Platform for Teaching the Theory and Practice of ICT Systems},
	url = {https://m2.mtmt.hu/api/publication/30684688},
	author = {Kolumbán, Géza and Krébesz, Tamás István},
	booktitle = {2019 IEEE International Symposium on Circuits and Systems (ISCAS)},
	doi = {10.1109/ISCAS.2019.8702408},
	unique-id = {30684688},
	abstract = {A universal portable software defined electronics platform developed to teach info-communications systems is proposed here. Because every application is implemented in software, the universal platform is suitable for the implementation and simulation of any kind of communications or measurement systems where the information is carried by band-pass signals. The software defined electronics platform needs only a laptop and two universal software radio peripheral devices, and it can be used everywhere without a laboratory infrastructure.},
	keywords = {Software defined electronics},
	year = {2019},
	pages = {1-5}
}

@book{MTMT:31148752,
	title = {Töltetes mikrochip többkomponensű mikrodializátum minta szeparálásához},
	url = {https://m2.mtmt.hu/api/publication/31148752},
	isbn = {9783639650518},
	author = {Kurcz, Lőrinc and Erdő, Franciska and Iván, Kristóf},
	publisher = {GlobeEdit International Book Market Service Ltd.},
	unique-id = {31148752},
	year = {2017},
	orcid-numbers = {Iván, Kristóf/0000-0003-3637-3979}
}

@article{MTMT:2860443,
	title = {Multi-user detection using non-parametric Bayesian estimation by feed forward neural networks},
	url = {https://m2.mtmt.hu/api/publication/2860443},
	author = {Tisza, Dávid and Oláh, András and Levendovszky, János},
	doi = {10.1007/s11235-015-9973-0},
	journal-iso = {TELECOMMUN SYST},
	journal = {TELECOMMUNICATION SYSTEMS},
	volume = {63},
	unique-id = {2860443},
	issn = {1018-4864},
	year = {2016},
	eissn = {1572-9451},
	pages = {65-75},
	orcid-numbers = {Oláh, András/0009-0003-4796-8932; Levendovszky, János/0000-0003-1406-442X}
}

@article{MTMT:2844131,
	title = {Context-aware correction of spelling errors in Hungarian medical documents},
	url = {https://m2.mtmt.hu/api/publication/2844131},
	author = {Novák, Borbála and Novák, Attila and Prószéky, Gábor},
	doi = {10.1016/j.csl.2014.09.001},
	journal-iso = {COMPUT SPEECH LANG},
	journal = {COMPUTER SPEECH AND LANGUAGE},
	volume = {35},
	unique-id = {2844131},
	issn = {0885-2308},
	abstract = {Abstract Owing to the growing need of acquiring medical data from clinical records, processing such documents is an important topic in natural language processing (NLP). However, for general NLP methods to work, a proper, normalized input is required. Otherwise the system is overwhelmed by the unusually high amount of noise generally characteristic of this kind of text. The different types of this noise originate from non-standard language use: short fragments instead of proper sentences, usage of Latin words, many acronyms and very frequent misspellings. In this paper, a method is described for the automated correction of spelling errors in Hungarian clinical records. First, a word-based algorithm was implemented to generate a ranked list of correction candidates for word forms regarded as incorrect. Second, the problem of spelling correction was modelled as a translation task, where the source language is the erroneous text and the target language is the corrected one. A Statistical Machine Translation (SMT) decoder performed the task of error correction. Since no orthographically correct proofread text from this domain is available, we could not use such a corpus for training the system. Instead, the word-based system was used to create translation models. In addition, a 3-gram token-based language model was used to model lexical context. Due to the high number of abbreviations and acronyms in the texts, the behaviour of these abbreviated forms was further examined both in the case of the context-unaware word-based and the SMT-decoder-based implementations. The results show that the SMT-based method outperforms the first candidate accuracy of the word-based ranking system. However, the normalization of abbreviations should be handled as a separate task.},
	keywords = {agglutinating languages; spelling correction; medical text processing},
	year = {2016},
	eissn = {1095-8363},
	pages = {219-233}
}

@inproceedings{MTMT:2978490,
	title = {Analysis of parallel processor architectures for the solution of the Black-Scholes PDE},
	url = {https://m2.mtmt.hu/api/publication/2978490},
	author = {László, Endre and Nagy, Zoltán and Giles, MB and Reguly, István Zoltán and Appleyard, J and Szolgay, Péter},
	booktitle = {IEEE International Symposium on Circuits and Systems, ISCAS 2015},
	doi = {10.1109/ISCAS.2015.7169062},
	unique-id = {2978490},
	year = {2015},
	pages = {1977-1980},
	orcid-numbers = {Nagy, Zoltán/0000-0002-0992-7123; Reguly, István Zoltán/0000-0002-4385-4204}
}

@inproceedings{MTMT:2975394,
	title = {Nem felügyelt módszerek alkalmazása releváns kifejezések azonosítására és csoportosítására klinikai dokumentumokban},
	url = {https://m2.mtmt.hu/api/publication/2975394},
	author = {Novák, Borbála and Novák, Attila},
	booktitle = {XI. Magyar Számítógépes Nyelvészeti Konferencia : MSZNY 2015},
	unique-id = {2975394},
	year = {2015},
	pages = {237-248}
}