@inproceedings{MTMT:32765969,
	title = {A New Method to Determine Systolic Blood Pressure Indirectly Aided by Parallel Recording of ECG and PPG},
	url = {https://m2.mtmt.hu/api/publication/32765969},
	author = {Nagy, Péter and Jobbágy, Ákos},
	booktitle = {Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies},
	doi = {10.5220/0010891400003123},
	unique-id = {32765969},
	year = {2022},
	pages = {221-227},
	orcid-numbers = {Jobbágy, Ákos/0000-0001-6569-6000}
}

@inproceedings{MTMT:31973190,
	title = {Compensation of the major drawback of oscillometric blood pressure measurement},
	url = {https://m2.mtmt.hu/api/publication/31973190},
	author = {Nagy, Péter and Jobbágy, Ákos},
	booktitle = {Proceedings of the 28th PhD Mini-Symposium},
	unique-id = {31973190},
	year = {2021},
	pages = {16-19},
	orcid-numbers = {Jobbágy, Ákos/0000-0001-6569-6000}
}

@article{MTMT:31146298,
	title = {The role of detours in individual human navigation patterns of complex networks},
	url = {https://m2.mtmt.hu/api/publication/31146298},
	author = {Gulyás, András and Bíró, József and Rétvári, Gábor and Novák, Márton and Kőrösi, Attila and Slíz, Marianna Ilona and Heszberger, Zalán},
	doi = {10.1038/s41598-020-57856-4},
	journal-iso = {SCI REP},
	journal = {SCIENTIFIC REPORTS},
	volume = {10},
	unique-id = {31146298},
	issn = {2045-2322},
	year = {2020},
	eissn = {2045-2322},
	orcid-numbers = {Bíró, József/0000-0002-9729-2702; Slíz, Marianna Ilona/0000-0001-5959-1018}
}

@inproceedings{MTMT:31249358,
	title = {The Skeleton of Hyperbolic Graphs for Greedy Navigation},
	url = {https://m2.mtmt.hu/api/publication/31249358},
	isbn = {9781728155845},
	author = {Heszberger, Zalán and Bíró, József and Gulyás, András and László, Balázs and András, Biró},
	booktitle = {6th Annual Conference on Computational Science and Computational Intelligence (CSCI 2019)},
	doi = {10.1109/CSCI49370.2019.00092},
	unique-id = {31249358},
	abstract = {A set of compulsory links in  greedy  navigable  graphs  called  Greedy  Skeleton  is  identified.},
	year = {2019},
	pages = {476-480},
	orcid-numbers = {Bíró, József/0000-0002-9729-2702}
}

@article{MTMT:30925778,
	title = {Dielectric measurements for the examination of electrostatic charging of powders},
	url = {https://m2.mtmt.hu/api/publication/30925778},
	author = {Kiss, István and Tamus, Zoltán Ádám and Iváncsy, Tamás and Németh, Bálint and Ujfalussy, György and Berta, István},
	doi = {10.1088/1742-6596/1322/1/012035},
	journal-iso = {J PHYS CONF SER},
	journal = {JOURNAL OF PHYSICS-CONFERENCE SERIES},
	volume = {1322},
	unique-id = {30925778},
	issn = {1742-6588},
	year = {2019},
	eissn = {1742-6596},
	orcid-numbers = {Tamus, Zoltán Ádám/0000-0002-0092-7565}
}

@CONFERENCE{MTMT:30860091,
	title = {Robust Navigable Cores in the Human Brain Networks},
	url = {https://m2.mtmt.hu/api/publication/30860091},
	author = {Heszberger, Zalán and Gulyás, András and Majdán, András and Bíró, József},
	booktitle = {Dynamics of the brain: temporal aspects of computation},
	unique-id = {30860091},
	year = {2019},
	pages = {34-34},
	orcid-numbers = {Bíró, József/0000-0002-9729-2702}
}

@article{MTMT:30813003,
	title = {Experimental technique for high-frequency conductivity measurement},
	url = {https://m2.mtmt.hu/api/publication/30813003},
	author = {Marák, Károly and Bilicz, Sándor and Pávó, József},
	doi = {10.1108/COMPEL-12-2018-0502},
	journal-iso = {COMPEL},
	journal = {COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING},
	volume = {38},
	unique-id = {30813003},
	issn = {0332-1649},
	year = {2019},
	eissn = {0332-1649},
	pages = {1711-1722},
	orcid-numbers = {Bilicz, Sándor/0000-0003-4995-6698}
}

@misc{MTMT:30931516,
	title = {Több szenzort alkalmazva növelhető az indirekt vérnyomásmérés pontossága},
	url = {https://m2.mtmt.hu/api/publication/30931516},
	author = {Jobbágy, Ákos and Nagy, Péter},
	unique-id = {30931516},
	year = {2018},
	orcid-numbers = {Jobbágy, Ákos/0000-0001-6569-6000}
}

@CONFERENCE{MTMT:30385098,
	title = {Robust Navigable Cores in the Human Brain Networks},
	url = {https://m2.mtmt.hu/api/publication/30385098},
	isbn = {9783030054144},
	author = {Heszberger, Zalán and Majdán, András and Gulyás, András and Gyimóthy, Tibor and Bilicki, Vilmos and Bíró, József},
	booktitle = {Proc. of The 7th International Conference on Complex Networks and Their Applications},
	unique-id = {30385098},
	year = {2018},
	pages = {324-326},
	orcid-numbers = {Gyimóthy, Tibor/0000-0002-2123-7387; Bíró, József/0000-0002-9729-2702}
}

@inproceedings{MTMT:3371218,
	title = {A Tractable Stochastic Model of Correlated Link Failures Caused by Disasters},
	url = {https://m2.mtmt.hu/api/publication/3371218},
	author = {Tapolcai, János and Vass, Balázs and Heszberger, Zalán and Bíró, József and Hay, D and Kuipers, F A and Rónyai, Lajos},
	booktitle = {IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)},
	doi = {10.1109/INFOCOM.2018.8486218},
	unique-id = {3371218},
	abstract = {In order to evaluate the expected availability of a service, a network administrator should consider all possible failure scenarios under the specific service availability model stipulated in the corresponding service-level agreement. Given the increase in natural disasters and malicious attacks with geographically extensive impact, considering only independent single link failures is often insufficient. In this paper, we build a stochastic model of geographically correlated link failures caused by disasters, in order to estimate the hazards a network may be prone to, and to understand the complex correlation between possible link failures. With such a model, one can quickly extract information, such as the probability of an arbitrary set of links to fail simultaneously, the probability of two nodes to be disconnected, the probability of a path to survive a failure, etc. Furthermore, we introduce a pre-computation process, which enables us to succinctly represent the joint probability distribution of link failures. In particular, we generate, in polynomial time, a quasilinear-sized data structure, with which the joint failure probability of any set of links can be computed efficiently.},
	year = {2018},
	pages = {2105-2113},
	orcid-numbers = {Bíró, József/0000-0002-9729-2702}
}