@article{MTMT:34395727,
	title = {Surpassing early stopping: A novel correlation-based stopping criterion for neural networks},
	url = {https://m2.mtmt.hu/api/publication/34395727},
	author = {Miseta, Tamás and Fodor, Attila and Fogarassyné Vathy, Ágnes},
	doi = {10.1016/j.neucom.2023.127028},
	journal-iso = {NEUROCOMPUTING},
	journal = {NEUROCOMPUTING},
	volume = {567},
	unique-id = {34395727},
	issn = {0925-2312},
	year = {2024},
	eissn = {1872-8286},
	pages = {127028},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@CONFERENCE{MTMT:34016905,
	title = {Adatalapú egészségügyi döntéstámogatás és optimalizáció},
	url = {https://m2.mtmt.hu/api/publication/34016905},
	author = {Fogarassyné Vathy, Ágnes},
	booktitle = {Pannon Innovációs Nap},
	unique-id = {34016905},
	year = {2023},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@inproceedings{MTMT:34450841,
	title = {Egészégügyi időpontütemezés optimalizálási lehetőségeinek vizsgálata genetikus algoritmus alkalmazásával},
	url = {https://m2.mtmt.hu/api/publication/34450841},
	author = {Gombás, Veronika and Dulai, Tibor and Fogarassyné Vathy, Ágnes},
	booktitle = {Orvosi informatika. A XXXVI. Neumann Kollokvium konferencia-kiadványa},
	doi = {10.5281/zenodo.10430445},
	unique-id = {34450841},
	year = {2023},
	pages = {17-26},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:33733688,
	title = {Aggregated Rankings of Top Leagues’ Football Teams: Application and Comparison of Different Ranking Methods},
	url = {https://m2.mtmt.hu/api/publication/33733688},
	author = {Gyarmati, László and Mihálykóné Orbán, Éva and Mihálykó, Lajos Csaba and Fogarassyné Vathy, Ágnes},
	doi = {10.3390/app13074556},
	journal-iso = {APPL SCI-BASEL},
	journal = {APPLIED SCIENCES-BASEL},
	volume = {13},
	unique-id = {33733688},
	abstract = {In this study, the effectiveness and characteristics of three ranking methods were investigated based on their performance in ranking European football teams. The investigated methods were the Thurstone method with ties, the analytic hierarchy process with logarithmic least squares method, and the RankNet neural network. The methods were analyzed in both complete and incomplete comparison tasks. The ranking based on complete comparison was performed on match results of national leagues, where each team had match results against all the other teams. In the incomplete comparison case, in addition to the national league results, only a few match results from international cups were available to determine the aggregated ranking of the teams playing in the top five European leagues. The rankings produced by the ranking methods were compared with each other, with the official national rankings, and with the UEFA club coefficient rankings. In addition, the correlation between the aggregated rankings and the Transfermarkt financial ranking was also examined for the sake of interest.},
	year = {2023},
	eissn = {2076-3417},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:34022101,
	title = {Prediction for Future Yaw Rate Values of Vehicles Using Long Short-Term Memory Network},
	url = {https://m2.mtmt.hu/api/publication/34022101},
	author = {Kontos, János and Kránicz, Balázs and Fogarassyné Vathy, Ágnes},
	doi = {10.3390/s23125670},
	journal-iso = {SENSORS-BASEL},
	journal = {SENSORS},
	volume = {23},
	unique-id = {34022101},
	year = {2023},
	eissn = {1424-8220},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:33714031,
	title = {Software Framework and Graph-based Methodology for Optimal Patient Appointment Planning},
	url = {https://m2.mtmt.hu/api/publication/33714031},
	author = {Süle, Zoltán and Baumgartner, János and Leitold, Dániel and Dulai, Tibor and Orosz, Ákos and Fogarassyné Vathy, Ágnes},
	doi = {10.1016/j.procs.2023.01.398},
	journal-iso = {PROC COMPUTER SCI},
	journal = {PROCEDIA COMPUTER SCIENCE},
	volume = {219},
	unique-id = {33714031},
	issn = {1877-0509},
	year = {2023},
	pages = {1169-1176},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:33838539,
	title = {A general text mining method to extract echocardiography measurement results from echocardiography documents},
	url = {https://m2.mtmt.hu/api/publication/33838539},
	author = {Szekér, Szabolcs and Fogarassy, György and Fogarassyné Vathy, Ágnes},
	doi = {10.1016/j.artmed.2023.102584},
	journal-iso = {ARTIF INTELL MED},
	journal = {ARTIFICIAL INTELLIGENCE IN MEDICINE},
	volume = {143},
	unique-id = {33838539},
	issn = {0933-3657},
	year = {2023},
	eissn = {1873-2860},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@book{MTMT:34449210,
	title = {Orvosi informatika. A XXXVI. Neumann Kollokvium konferencia-kiadványa},
	url = {https://m2.mtmt.hu/api/publication/34449210},
	isbn = {9789633962725},
	editor = {Vassányi, István and Fogarassyné Vathy, Ágnes},
	publisher = {NJSZT},
	unique-id = {34449210},
	year = {2023},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:33097325,
	title = {Quaternion Based Solar Irradiance Forecast},
	url = {https://m2.mtmt.hu/api/publication/33097325},
	author = {Knolmajer, Attila and Fogarassyné Vathy, Ágnes and Fodor, Attila},
	doi = {10.3303/CET2294142},
	journal-iso = {CHEM ENG TR},
	journal = {CHEMICAL ENGINEERING TRANSACTIONS},
	volume = {94},
	unique-id = {33097325},
	issn = {1974-9791},
	year = {2022},
	eissn = {2283-9216},
	pages = {853-858},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@inproceedings{MTMT:32867387,
	title = {Neural Network-Based Prediction for Lateral Acceleration of Vehicles},
	url = {https://m2.mtmt.hu/api/publication/32867387},
	author = {Kontos, János and Kránicz, Balázs and Fogarassyné Vathy, Ágnes},
	booktitle = {2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS)},
	doi = {10.1109/CITDS54976.2022.9914270},
	unique-id = {32867387},
	year = {2022},
	pages = {153-158},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:33097331,
	title = {Comparison of Cancer Survival Trends in Hungary in the Periods 2001–2005 and 2011–2015 According to a Population-Based Cancer Registry},
	url = {https://m2.mtmt.hu/api/publication/33097331},
	author = {Kenessey, István and Szőke, Georgina and Dobozi, Mária and Szatmári, István and Wéber, András and Fogarassy, György and Nagy, Péter and Kásler, Miklós and Polgár, Csaba and Fogarassyné Vathy, Ágnes},
	doi = {10.3389/pore.2022.1610668},
	journal-iso = {PATHOL ONCOL RES},
	journal = {PATHOLOGY AND ONCOLOGY RESEARCH},
	volume = {28},
	unique-id = {33097331},
	issn = {1219-4956},
	abstract = {Background: Assessment of population-based cancer survival may provide the most valuable feedback about the effectiveness of oncological surveillance and treatment.},
	year = {2022},
	eissn = {1532-2807},
	orcid-numbers = {Kenessey, István/0000-0002-6963-8489; Wéber, András/0000-0003-1605-8226; Nagy, Péter/0000-0003-3393-235X; Kásler, Miklós/0000-0002-7235-8787; Polgár, Csaba/0000-0001-7245-0762; Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@inproceedings{MTMT:33289508,
	title = {A Novel Quaternion-based Method to Calculate Solar Irradiation on a Surface},
	url = {https://m2.mtmt.hu/api/publication/33289508},
	author = {Knolmajer, Attila and Fodor, Attila and Fogarassyné Vathy, Ágnes},
	booktitle = {2022 IEEE 20th International Power Electronics and Motion Control Conference (PEMC)},
	doi = {10.1109/PEMC51159.2022.9962843},
	unique-id = {33289508},
	year = {2022},
	pages = {516-521},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:32759096,
	title = {Energy trading strategy for storage-based renewable power plants},
	url = {https://m2.mtmt.hu/api/publication/32759096},
	author = {Miseta, Tamás and Fodor, Attila and Fogarassyné Vathy, Ágnes},
	doi = {10.1016/j.energy.2022.123788},
	journal-iso = {ENERGY},
	journal = {ENERGY},
	volume = {250},
	unique-id = {32759096},
	issn = {0360-5442},
	year = {2022},
	eissn = {1873-6785},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:33850591,
	title = {A General Text Mining Method to Extract Echocardiography Measurement Results from Echocardiography Documents},
	url = {https://m2.mtmt.hu/api/publication/33850591},
	author = {Szekér, Szabolcs and Fogarassy, György and Fogarassyné Vathy, Ágnes},
	doi = {10.2139/ssrn.3999264},
	journal-iso = {SOC SCI RES NETW (SSRN)},
	journal = {SOCIAL SCIENCE RESEARCH NETWORK: SSRN},
	volume = {2022},
	unique-id = {33850591},
	year = {2022},
	eissn = {1556-5068},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:32549591,
	title = {Multi-level process mining methodology for exploring disease-specific care processes},
	url = {https://m2.mtmt.hu/api/publication/32549591},
	author = {Fogarassyné Vathy, Ágnes and Vassányi, István and Kósa, István},
	doi = {10.1016/j.jbi.2021.103979},
	journal-iso = {J BIOMED INFORM},
	journal = {JOURNAL OF BIOMEDICAL INFORMATICS},
	volume = {125},
	unique-id = {32549591},
	issn = {1532-0464},
	year = {2022},
	eissn = {1532-0480},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Kósa, István/0000-0002-8805-4307}
}

@inproceedings{MTMT:33291614,
	title = {Security of IT systems in healthcare institutions},
	url = {https://m2.mtmt.hu/api/publication/33291614},
	author = {Szücs, Veronika and Arányi, Gábor and Fogarassyné Vathy, Ágnes},
	booktitle = {Az egészségügyi informatika COVID előtt és COVID után - A XXXV. Neumann Kollokvium konferencia kiadványa},
	unique-id = {33291614},
	year = {2022},
	pages = {45-50},
	orcid-numbers = {Szücs, Veronika/0000-0001-5967-1405; Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:31605639,
	title = {Preventing cancer therapy-related heart failure. the need for novel studies},
	url = {https://m2.mtmt.hu/api/publication/31605639},
	author = {Fogarassy, György and Fogarassyné Vathy, Ágnes and Kenessey, István and Veress, Gábor and Polgár, Csaba and Forster, Tamás},
	doi = {10.2459/JCM.0000000000001115},
	journal-iso = {J CARDIOVASC MED},
	journal = {JOURNAL OF CARDIOVASCULAR MEDICINE},
	volume = {22},
	unique-id = {31605639},
	issn = {1558-2027},
	abstract = {After enhancing the survivorship of cancers, the impact of cardiovascular diseases on mortality is increasing among cancer patients. However, anticancer therapies pose a higher cardiovascular risk to patients. As prevention against cancer therapy-induced cardiomyopathy has yet to be explored, the preventive ability of concomitant cardiovascular medications against incident heart failure was assessed.A retrospective, population-based study was run using anonymized integration of healthcare databases. All the Hungarian patients diagnosed with breast or colorectal carcinoma and undergoing chemotherapy or biological therapy were analysed. Participants were not treated with any anticancer therapy nor suffered from heart failure/dilated cardiomyopathy during the preceding observational period (≥6.5 years). The heart failure endpoint was established by I50 International Classification of Diseases codes upon discharge from hospital or issuance of an autopsy report.Among the 9575 patients who were enrolled, the cumulative incidence of heart failure over 4 years was 6.9%. The time until the first heart failure event in the propensity score-matched treated and untreated groups was compared using Cox proportional-hazards models. A significant association between lower heart failure risk and concomitant statin therapy was observed (hazard ratio: 0.748, P = 0.038); the preventive ability was more pronounced in the anthracycline/capecitabine/platinum-treated subgroup (hazard ratio: 0.660, P = 0.032). For angiotensin-converting enzyme inhibitor/angiotensin II receptor blocker therapy, a significantly lower heart failure risk was also observed (hazard ratio: 0.809, P = 0.032). Among beta blockers, nebivolol administered to anthracycline/capecitabine-treated patients was associated with a nonsignificant trend to lower heart failure risk (hazard ratio: 0.584, P = 0.069).Only concomitant statin and angiotensin-converting enzyme inhibitor/angiotensin II receptor blocker therapies were associated with significantly lower risk of anticancer therapy-related heart failure.},
	year = {2021},
	eissn = {1558-2035},
	pages = {459-468},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Kenessey, István/0000-0002-6963-8489; Polgár, Csaba/0000-0001-7245-0762; Forster, Tamás/0000-0003-3311-6475}
}

@article{MTMT:32050649,
	title = {The long-therm effects of the biolitic procedure for original and biosimilar GCSF and EPO products in Hungary},
	url = {https://m2.mtmt.hu/api/publication/32050649},
	author = {Hornyák, Lajos and Nagy, Zsolt and Fogarassyné Vathy, Ágnes and Endrei, Dóra and Csákvári, Tímea and Répásy, Balázs and Kresz, Sára and Boncz, Imre},
	doi = {10.33892/aph.2021.91.21-28},
	journal-iso = {ACTA PHARM HUNG},
	journal = {ACTA PHARMACEUTICA HUNGARICA},
	volume = {91},
	unique-id = {32050649},
	issn = {0001-6659},
	year = {2021},
	eissn = {1587-1495},
	pages = {21-28},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Endrei, Dóra/0000-0001-8979-1686; Csákvári, Tímea/0000-0002-3339-4953; Boncz, Imre/0000-0003-3699-6236}
}

@inproceedings{MTMT:32126217,
	title = {Phase Plane-based Approaches For Event Detection and Plausibility Check of Vehicle Dynamics},
	url = {https://m2.mtmt.hu/api/publication/32126217},
	author = {Kontos, János and Fogarassyné Vathy, Ágnes and Kránicz, Balázs},
	booktitle = {2021 IEEE 25th International Conference on Intelligent Engineering Systems (INES)},
	doi = {10.1109/INES52918.2021.9512897},
	unique-id = {32126217},
	abstract = {In recent years the number of electronic systems dramatically increased in vehicles. In the field of autonomous braking the Electronic Stability Control (ESC) is one of the most important braking functions. Two of the biggest challenges of the development of ESC are the validity of the inputs and logic of the intervention. In this paper the initial results of a new phase plane-based approach are introduced. This approach can be the base of a wide spectrum of vehicle dynamic application but from ESC point of view it can be used for detecting critical driving maneuvers and for monitoring of inertia sensors plausibility. The main advantage of the phase-based method is that it can decrease the number of necessary vehicle dependent parameters during the detection of critical driving situations and sensor plausibility problems. In the article simulation results are presented to highlight the advantage of the proposed approach. The results show that our phase plane method can be used in the development of ESC in the future.},
	year = {2021},
	pages = {31-36},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:32499248,
	title = {A daganatos betegek túlélési mintázatának összehasonlítása a 2001−2005 és a 2011−2015 közötti időszakban a Nemzeti Rákregiszter adatbázisa alapján},
	url = {https://m2.mtmt.hu/api/publication/32499248},
	author = {Kenessey, István and Szőke, Georgina and Dobozi, Mária and Szatmári, István and Wéber, András and Fogarassy, György and Nagy, Péter and Kásler, Miklós and Polgár, Csaba and Fogarassyné Vathy, Ágnes},
	journal-iso = {MAGYAR ONKOLÓGIA},
	journal = {MAGYAR ONKOLÓGIA},
	volume = {65},
	unique-id = {32499248},
	issn = {0025-0244},
	abstract = {OBJECTIVE: Population-based registration of cancer survival may well demonstrate the effectiveness of oncology treatments and provide valuable data for the development and organization of the oncology care system. The most accurate quality assurance feedback may be from survival analysis, however, the vast majority of studies available in the literature use estimation-based models. In our work, we analyzed much more accurate, population-based data. MATERIALS AND METHODS: Cases of colorectal cancer, lung cancer, breast cancer, prostate cancer and cervical cancer reported to the National Cancer Registry between 2001 and 2015 were analyzed. The incidence was standardized according to the 2013 European Standard Population and compared with mortality data from the Central Statistical Office. We performed a statistical analysis of patient survival on a cleansed database. The comparison was made between two different periods (2001–2005 and 2011–2015) and the stage of the tumor. RESULTS: The standardized incidence of colorectal, breast, and prostate cancers increased during the study period, while there was a decrease in lung and cervical cancers. In addition, the survival of patients with colorectal, breast and prostate carcinomas improved between 2011 and 2015 compared to 2001–2005. In contrast, there was a slight deterioration in lung cancer, while there was no significant change in cervical cancer. Examination of the survival pattern based on the tumor stage revealed that at a low stage, the outcome was more favorable for almost all tumor types, however, at a more advanced stage, survival benefit is no longer expected from oncology treatment. Analysis of the distribution of each stage showed that while colorectal, breast and prostate cancer were generally detected at a lower stage between 2011 and 2015, a higher proportion of lung and cervical cancers were in the higher stage. DISCUSSION: Our results support that new types of oncology therapies are more effective in early-stage patients, and greater progress is expected from the development of a screening network. Nevertheless, the rising cost of oncology and the longer survival of patients is an ever-increasing burden on society.},
	year = {2021},
	eissn = {2060-0399},
	pages = {27-27},
	orcid-numbers = {Kenessey, István/0000-0002-6963-8489; Nagy, Péter/0000-0003-3393-235X; Kásler, Miklós/0000-0002-7235-8787; Polgár, Csaba/0000-0001-7245-0762; Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@CONFERENCE{MTMT:32176983,
	title = {Betegellátási folyamatok optimális ütemezése},
	url = {https://m2.mtmt.hu/api/publication/32176983},
	author = {Süle, Zoltán and Baumgartner, János and Fogarassyné Vathy, Ágnes},
	booktitle = {XXXIV. Magyar Operációkutatási Konferencia: Absztraktok könyve},
	unique-id = {32176983},
	year = {2021},
	pages = {61},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:32531974,
	title = {Optimized Weighted Nearest Neighbours Matching Algorithm for Control Group Selection},
	url = {https://m2.mtmt.hu/api/publication/32531974},
	author = {Szekér, Szabolcs and Fogarassyné Vathy, Ágnes},
	doi = {10.3390/a14120356},
	journal-iso = {ALGORITHMS},
	journal = {ALGORITHMS},
	volume = {14},
	unique-id = {32531974},
	year = {2021},
	eissn = {1999-4893},
	pages = {356},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@book{MTMT:32527434,
	title = {Orvosi informatika. A XXXIV. Neumann Kollokvium konferencia-kiadványa},
	url = {https://m2.mtmt.hu/api/publication/32527434},
	isbn = {9789633962176},
	editor = {Vassányi, István and Fogarassyné Vathy, Ágnes},
	publisher = {NJSZT},
	unique-id = {32527434},
	year = {2021},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:31347883,
	title = {A doxorubicinkezeléshez kapcsolódó szívelégtelenség kialakulásának rizikótényezői a hazai országos adatbázisok integrált, retrospektív elemzése alapján [Analysing the risk factors of doxorubicin-associated heart failure by a retrospective study of integrated, nation-wide databases]},
	url = {https://m2.mtmt.hu/api/publication/31347883},
	author = {Fogarassy, György and Fogarassyné Vathy, Ágnes and Kováts, Tamás and Hornyák, Lajos and Kenessey, István and Veress, Gábor and Polgár, Csaba and Forster, Tamás},
	doi = {10.1556/650.2020.31739},
	journal-iso = {ORV HETIL},
	journal = {ORVOSI HETILAP},
	volume = {161},
	unique-id = {31347883},
	issn = {0030-6002},
	year = {2020},
	eissn = {1788-6120},
	pages = {1094-1102},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Kenessey, István/0000-0002-6963-8489; Polgár, Csaba/0000-0001-7245-0762; Forster, Tamás/0000-0003-3311-6475}
}

@article{MTMT:31195611,
	title = {Application to the Analysis of Heat Exchanger Networks},
	url = {https://m2.mtmt.hu/api/publication/31195611},
	author = {Leitold, Dániel and Fogarassyné Vathy, Ágnes and Abonyi, János},
	doi = {10.1007/978-3-030-36472-4_4},
	journal-iso = {SpringerBriefs in Computer Science},
	journal = {SpringerBriefs in Computer Science},
	volume = {2020},
	unique-id = {31195611},
	issn = {2191-5768},
	abstract = {This work proposes a network science-based analysis tool for the qualification of controllability and observability of HENs. With the proposed methodology, the main characteristics of HEN design methods are determined, the effect of structural properties of …},
	year = {2020},
	pages = {49-69},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@{MTMT:33718280,
	title = {Summary},
	url = {https://m2.mtmt.hu/api/publication/33718280},
	author = {Leitold, Dániel and Fogarassyné Vathy, Ágnes and Abonyi, János},
	booktitle = {Network-Based Analysis of Dynamical Systems},
	doi = {10.1007/978-3-030-36472-4_6},
	unique-id = {33718280},
	abstract = {The application of network science in the field of dynamical systems has enabled a set of powerful tools that were introduced in this book. The typical structural motifs were determined for reaching more reliable results. The effect of these motifs on the number of driver and sensor nodes was also analysed. As the decreased number of inputs and outputs results in a higher relative degree, five methods were proposed to improve the operability performances by placing additional driver and sensor nodes to the system. A workflow for systematic analysis of dynamical systems and an open-source toolbox were also introduced to support the application of the presented methods. In this chapter, a summary of the book is given. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2020.},
	keywords = {Heat exchangers; Controllability; Controllability; Dynamical systems; Dynamical systems; Open systems; Observability; Observability; Heat exchanger network; Heat exchanger network; Sensor nodes; Systematic analysis; Network science; Network science; Structural motifs; Reliable results; Relative degrees; Open source toolboxes; Relative degree},
	year = {2020},
	pages = {83-85},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@inbook{MTMT:33256214,
	title = {Preface},
	url = {https://m2.mtmt.hu/api/publication/33256214},
	author = {Leitold, Dániel and Fogarassyné Vathy, Ágnes and Abonyi, János},
	booktitle = {SpringerBriefs in Computer Science},
	unique-id = {33256214},
	year = {2020},
	pages = {v-vi},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@{MTMT:33145888,
	title = {Introduction},
	url = {https://m2.mtmt.hu/api/publication/33145888},
	author = {Leitold, Dániel and Fogarassyné Vathy, Ágnes and Abonyi, János},
	booktitle = {Network-Based Analysis of Dynamical Systems},
	doi = {10.1007/978-3-030-36472-4_1},
	unique-id = {33145888},
	year = {2020},
	pages = {1-15},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@inbook{MTMT:31195681,
	title = {The NOCAD MATLAB/Octave Toolbox Developed for the Analysis of Dynamical Systems},
	url = {https://m2.mtmt.hu/api/publication/31195681},
	author = {Leitold, Dániel and Fogarassyné Vathy, Ágnes and Abonyi, János},
	booktitle = {Network-Based Analysis of Dynamical Systems},
	doi = {10.1007/978-3-030-36472-4_5},
	unique-id = {31195681},
	year = {2020},
	pages = {71-81},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@{MTMT:31165153,
	title = {Reduction of Relative Degree by Optimal Control and Sensor Placement},
	url = {https://m2.mtmt.hu/api/publication/31165153},
	author = {Leitold, Dániel and Fogarassyné Vathy, Ágnes and Abonyi, János},
	booktitle = {Network-Based Analysis of Dynamical Systems},
	doi = {10.1007/978-3-030-36472-4_3},
	unique-id = {31165153},
	year = {2020},
	pages = {27-48},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@inbook{MTMT:31156805,
	title = {Structural Controllability and Observability Analysis in Complex Networks},
	url = {https://m2.mtmt.hu/api/publication/31156805},
	author = {Leitold, Dániel and Fogarassyné Vathy, Ágnes and Abonyi, János},
	booktitle = {Network-Based Analysis of Dynamical Systems},
	doi = {10.1007/978-3-030-36472-4_2},
	unique-id = {31156805},
	year = {2020},
	pages = {17-26},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@book{MTMT:31128112,
	title = {Network-Based Analysis of Dynamical Systems},
	url = {https://m2.mtmt.hu/api/publication/31128112},
	isbn = {9783030364717},
	author = {Leitold, Dániel and Fogarassyné Vathy, Ágnes and Abonyi, János},
	doi = {10.1007/978-3-030-36472-4},
	publisher = {Springer Netherlands},
	unique-id = {31128112},
	keywords = {complex systems; Control Theory; Systems engineering; Heat exchanger networks; Sensors and actuators; Network science; sensor placement; Optimisation in Engineering},
	year = {2020},
	orcid-numbers = {Leitold, Dániel/0000-0003-2644-8164; Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@article{MTMT:31388188,
	title = {Weighted nearest neighbours-based control group selection method for observational studies},
	url = {https://m2.mtmt.hu/api/publication/31388188},
	author = {Szekér, Szabolcs and Fogarassyné Vathy, Ágnes},
	doi = {10.1371/journal.pone.0236531},
	journal-iso = {PLOS ONE},
	journal = {PLOS ONE},
	volume = {15},
	unique-id = {31388188},
	issn = {1932-6203},
	year = {2020},
	eissn = {1932-6203},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:31360080,
	title = {The Efficiency of Different Distance Metrics for Keyword-Based Search in Medical Documents. A Short Case Study.},
	url = {https://m2.mtmt.hu/api/publication/31360080},
	author = {Fogarassyné Vathy, Ágnes and Szekér, Szabolcs and Szolár, Balázs and Fogarassy, György},
	doi = {10.3233/SHTI200101},
	journal-iso = {STUD HEALTH TECHNOL INFORM},
	journal = {STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS},
	volume = {271},
	unique-id = {31360080},
	issn = {0926-9630},
	abstract = {Processing of free text written medical texts involves many difficulties arising from typographical errors, synonyms, and abbreviations occurring in the texts.In this study, the applicability of the most common string similarity measures were analyzed and compared for the keyword-based medical text search.The usefulness of the similarity measures was studied in a set of medical documents containing more than 20,000 echocardiography reports. Experimental results showed that the Jaro-Winkler dissimilarity measure is the most capable measure to explore the content of the medical texts.},
	keywords = {RECOMMENDATIONS; Word embedding; FastText; data annotation},
	year = {2020},
	eissn = {1879-8365},
	pages = {232-239},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:31361333,
	title = {Managing Alternative Patient Appointments Using P-Graph Methodology},
	url = {https://m2.mtmt.hu/api/publication/31361333},
	author = {Süle, Zoltán and Baumgartner, János and Fogarassyné Vathy, Ágnes},
	doi = {10.3233/SHTI200074},
	journal-iso = {STUD HEALTH TECHNOL INFORM},
	journal = {STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS},
	volume = {271},
	unique-id = {31361333},
	issn = {0926-9630},
	abstract = {Background: Patient appointment scheduling is one of the main challenging tasks in the healthcare administration and is constantly in the focus of theoretical researches. Objectives: The aim of this study was to investigate the applicability of the P-graph (Process graph) methodology to find the n-best alternative for patient's scheduling. Methods: The patient appointment scheduling task was formalised as an integer linear programming problem and was considered as a process network synthesis problem. The optimal and n-best alternative solutions were determined by an efficient branch and bound algorithm implemented in a decision support system. Results: Experimental results show, that the P-graph methodology can be effectively applied to produce the optimal scheduling for the examinations and to find the alternatives of the best scheduling.},
	keywords = {decision support system; Appointments and Schedules; medical process optimisation; process graph},
	year = {2020},
	eissn = {1879-8365},
	pages = {57-64},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:3397276,
	title = {Empirical working time distribution-based line balancing with integrated simulated annealing and dynamic programming},
	url = {https://m2.mtmt.hu/api/publication/3397276},
	author = {Leitold, Dániel and Fogarassyné Vathy, Ágnes and Abonyi, János},
	doi = {10.1007/s10100-018-0570-7},
	journal-iso = {CEJOR},
	journal = {CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH},
	volume = {27},
	unique-id = {3397276},
	issn = {1435-246X},
	year = {2019},
	eissn = {1613-9178},
	pages = {455-473},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@article{MTMT:30610684,
	title = {Risk prediction model for long-term heart failure incidence after epirubicin chemotherapy for breast cancer–A real-world data-based, nationwide classification analysis},
	url = {https://m2.mtmt.hu/api/publication/30610684},
	author = {Fogarassy, György and Fogarassyné Vathy, Ágnes and Kenessey, István and Kásler, Miklós and Forster, Tamás},
	doi = {10.1016/j.ijcard.2019.03.013},
	journal-iso = {INT J CARDIOL},
	journal = {INTERNATIONAL JOURNAL OF CARDIOLOGY},
	volume = {285},
	unique-id = {30610684},
	issn = {0167-5273},
	year = {2019},
	eissn = {1874-1754},
	pages = {47-52},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Kenessey, István/0000-0002-6963-8489; Kásler, Miklós/0000-0002-7235-8787; Forster, Tamás/0000-0003-3311-6475}
}

@inproceedings{MTMT:30861048,
	title = {ICD-10 coding using improved word affinity methods},
	url = {https://m2.mtmt.hu/api/publication/30861048},
	author = {Vassányi, István and Gábor, Harmati and Kósa, István and Szakonyi, Benedek and Fogarassyné Vathy, Ágnes},
	booktitle = {Orvosi informatika--A XXXII. Neumann Kollokvium konferencia-kiadványa},
	unique-id = {30861048},
	year = {2019},
	pages = {13-18},
	orcid-numbers = {Kósa, István/0000-0002-8805-4307; Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:30426116,
	title = {Evaluation of the Complexity, Controllability and Observability of Heat Exchanger Networks Based on Structural Analysis of Network Representations},
	url = {https://m2.mtmt.hu/api/publication/30426116},
	author = {Leitold, Dániel and Fogarassyné Vathy, Ágnes and Abonyi, János},
	doi = {10.3390/en12030513},
	journal-iso = {ENERGIES},
	journal = {ENERGIES},
	volume = {12},
	unique-id = {30426116},
	issn = {1996-1073},
	year = {2019},
	eissn = {1996-1073},
	pages = {1-24},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@article{MTMT:33719079,
	title = {Network-based Observability and Controllability Analysis of Dynamical Systems: the NOCAD toolbox},
	url = {https://m2.mtmt.hu/api/publication/33719079},
	author = {Leitold, Dániel and Fogarassyné Vathy, Ágnes and Abonyi, János},
	doi = {10.12688/f1000research.19029.2},
	journal-iso = {F1000RESEARCH},
	journal = {F1000RESEARCH},
	volume = {8},
	unique-id = {33719079},
	issn = {2046-1402},
	abstract = {The network science-based determination of driver nodes and sensor placement has become increasingly popular in the field of dynamical systems over the last decade. In this paper, the applicability of the methodology in the field of life sciences is introduced through the analysis of the neural network of Caenorhabditis elegans. Simultaneously, an Octave and MATLAB-compatible NOCAD toolbox is proposed that provides a set of methods to automatically generate the relevant structural controllability and observability associated measures for linear or linearised systems and compare the different sensor placement methods.},
	year = {2019},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@misc{MTMT:30708656,
	title = {Systematic analysis of heuristic network partitioning algorithms and their applicability in sensor and controller placement.},
	url = {https://m2.mtmt.hu/api/publication/30708656},
	author = {Leitold, Dániel and Fogarassyné Vathy, Ágnes and Abonyi, János},
	unique-id = {30708656},
	year = {2019},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@inproceedings{MTMT:31029969,
	title = {The Effect of the Different Data Aggregation Methods and their Detail Levels to the Prediction of Bitcoin's Exchange Rate},
	url = {https://m2.mtmt.hu/api/publication/31029969},
	author = {Miseta, Tamás and Fogarassyné Vathy, Ágnes},
	booktitle = {Proceedings of IEEE International Work Conference on Bioinspired Intelligence IWOBI 2019},
	doi = {10.1109/IWOBI47054.2019.9114442},
	unique-id = {31029969},
	year = {2019},
	pages = {145-152},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@inproceedings{MTMT:30696539,
	title = {Application of Text Mining Methods on Unstructured Hungarian Echocardiogram Documents},
	url = {https://m2.mtmt.hu/api/publication/30696539},
	author = {Szekér, Szabolcs and Fogarassyné Vathy, Ágnes},
	booktitle = {Proceedings of the Pannonian Conference on Advances in Information Technology (PCIT'2019)},
	unique-id = {30696539},
	abstract = {A variety of text mining applications has been described and discussed in detail in the biomedical literature, ranging from simple co-occurrence-based methods to more sophisticated rule-based systems or machine-learning-based systems. These methods are widely applicable to extract information from medical documents mainly written in English, however the nature of Hungarian language requires specific tools to extract information from medical documents written in Hungarian. The goal of our research was to create such a simple NER (named entity recognition) method that is able to find and identify terms and recorded measurement results in unstructured Hungarian medical records, namely in echocardiogram documents. In this paper, we discuss the How Tos and challenges of the extraction process of echocardiography reports written in Hungarian language and presents the logic and results of the developed text mining-based algorithm.},
	year = {2019},
	pages = {187-193},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:30695876,
	title = {Application of Named Entity Recognition Methods to Extract Information from Echocardiography Reports.},
	url = {https://m2.mtmt.hu/api/publication/30695876},
	author = {Szekér, Szabolcs and Fogarassy, György and Machalik, K and Fogarassyné Vathy, Ágnes},
	doi = {10.3233/978-1-61499-971-3-41},
	journal-iso = {STUD HEALTH TECHNOL INFORM},
	journal = {STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS},
	volume = {260},
	unique-id = {30695876},
	issn = {0926-9630},
	year = {2019},
	eissn = {1879-8365},
	pages = {41-48},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@inproceedings{MTMT:31029971,
	title = {How Can the Similarity of the Case and Control Groups be Measured in Case-Control Studies?},
	url = {https://m2.mtmt.hu/api/publication/31029971},
	author = {Szekér, Szabolcs and Fogarassyné Vathy, Ágnes},
	booktitle = {Proceedings of IEEE International Work Conference on Bioinspired Intelligence IWOBI 2019},
	doi = {10.1109/IWOBI47054.2019.9114390},
	unique-id = {31029971},
	year = {2019},
	pages = {33-40},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@inproceedings{MTMT:30861044,
	title = {Kontrollcsoport kiválasztása súlyozott k-nn módszer alkalmazásával},
	url = {https://m2.mtmt.hu/api/publication/30861044},
	author = {Szekér, Szabolcs and Fogarassyné Vathy, Ágnes},
	booktitle = {Orvosi informatika--A XXXII. Neumann Kollokvium konferencia-kiadványa},
	unique-id = {30861044},
	year = {2019},
	pages = {7-12},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@misc{MTMT:30708628,
	title = {Application of Text Mining Methods on Unstructured Hungarian Echocardiogram Documents},
	url = {https://m2.mtmt.hu/api/publication/30708628},
	author = {Szekér, Szabolcs and Fogarassyné Vathy, Ágnes},
	unique-id = {30708628},
	year = {2019}
}

@book{MTMT:30859047,
	title = {Orvosi informatika--A XXXII. Neumann Kollokvium konferencia-kiadványa},
	url = {https://m2.mtmt.hu/api/publication/30859047},
	isbn = {9786155036163},
	editor = {Vassányi, István and Fogarassyné Vathy, Ágnes},
	publisher = {NJSZT},
	unique-id = {30859047},
	year = {2019},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@inproceedings{MTMT:3355577,
	title = {RFID-based task time analysis for shop floor optimization},
	url = {https://m2.mtmt.hu/api/publication/3355577},
	author = {Leitold, Dániel and Fogarassyné Vathy, Ágnes and K, Varga and Abonyi, János},
	booktitle = {2018 IEEE International Conference on Future IoT Technologies, Future IoT 2018},
	doi = {10.1109/FIOT.2018.8325587},
	unique-id = {3355577},
	keywords = {Optimization; radiofrequency identification; stochastic processes; Job shop scheduling; Task analysis; Workstations},
	year = {2018},
	pages = {1-6},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@inproceedings{MTMT:30337074,
	title = {Szövegesen rögzített echokardiográfia leletek numerikus értékeinek strukturálása},
	url = {https://m2.mtmt.hu/api/publication/30337074},
	author = {Fogarassyné Vathy, Ágnes and Machalik, Károly and Vassányi, István and Fogarassy, György},
	booktitle = {Orvosi Informatika 2018.},
	unique-id = {30337074},
	year = {2018},
	pages = {20-25},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:3417712,
	title = {Network Distance-Based Simulated Annealing and Fuzzy Clustering for Sensor Placement Ensuring Observability and Minimal Relative Degree},
	url = {https://m2.mtmt.hu/api/publication/3417712},
	author = {Leitold, Dániel and Fogarassyné Vathy, Ágnes and Abonyi, János},
	doi = {10.3390/s18093096},
	journal-iso = {SENSORS-BASEL},
	journal = {SENSORS},
	volume = {18},
	unique-id = {3417712},
	year = {2018},
	eissn = {1424-8220},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@misc{MTMT:30708665,
	title = {Controllability, observability and robustness improvement of heat exchanger networks},
	url = {https://m2.mtmt.hu/api/publication/30708665},
	author = {Leitold, Dániel and Fogarassyné Vathy, Ágnes and Abonyi, János},
	unique-id = {30708665},
	year = {2018},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@article{MTMT:3400188,
	title = {Design-Oriented Structural Controllability and Observability Analysis of Heat Exchanger Networks},
	url = {https://m2.mtmt.hu/api/publication/3400188},
	author = {Leitold, Dániel and Fogarassyné Vathy, Ágnes and Abonyi, János},
	doi = {10.3303/CET1870100},
	journal-iso = {CHEM ENG TR},
	journal = {CHEMICAL ENGINEERING TRANSACTIONS},
	volume = {70},
	unique-id = {3400188},
	issn = {1974-9791},
	year = {2018},
	eissn = {2283-9216},
	pages = {595-600},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@CONFERENCE{MTMT:3390709,
	title = {Measuring the similarity of two cohorts in the n-dimensional space},
	url = {https://m2.mtmt.hu/api/publication/3390709},
	author = {Szekér, Szabolcs and Fogarassyné Vathy, Ágnes},
	booktitle = {The 11th Conference of PhD Students in Computer Science},
	unique-id = {3390709},
	abstract = {Measuring the similarity of the case and control group in 
		clinical studies has always been an
		important but also difficult task. Several statistics-based 
		methods aimed at this exist but most of them
		utilize dimension reduction or estimation, therefore, there 
		are certain cases where they are not adequate.
		In this paper, we propose 3 dissimilarity-based measures 
		capable of evaluating case-control group pairs
		without the loss of valuable information.},
	year = {2018},
	pages = {151-154},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:3370002,
	title = {The Effect of Latent Binary Variables on the Uncertainty of the Prediction of a Dichotomous Outcome Using Logistic Regression Based Propensity Score Matching.},
	url = {https://m2.mtmt.hu/api/publication/3370002},
	author = {Szekér, Szabolcs and Fogarassyné Vathy, Ágnes},
	doi = {10.3233/978-1-61499-858-7-1},
	journal-iso = {STUD HEALTH TECHNOL INFORM},
	journal = {STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS},
	volume = {248},
	unique-id = {3370002},
	issn = {0926-9630},
	abstract = {Logistic regression based propensity score matching is a widely used method in case-control studies to select the individuals of the control group. This method creates a suitable control group if all factors affecting the output variable are known. However, if relevant latent variables exist as well, which are not taken into account during the calculations, the quality of the control group is uncertain. In this paper, we present a statistics-based research in which we try to determine the relationship between the accuracy of the logistic regression model and the uncertainty of the dependent variable of the control group defined by propensity score matching. Our analyses show that there is a linear correlation between the fit of the logistic regression model and the uncertainty of the output variable. In certain cases, a latent binary explanatory variable can result in a relative error of up to 70% in the prediction of the outcome variable. The observed phenomenon calls the attention of analysts to an important point, which must be taken into account when deducting conclusions.},
	year = {2018},
	eissn = {1879-8365},
	pages = {1-8},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@inproceedings{MTMT:30338542,
	title = {Látens változók hatása dichotom kimenetű vizsgálatok kiértékelésére},
	url = {https://m2.mtmt.hu/api/publication/30338542},
	author = {Szekér, Szabolcs and Fogarassyné Vathy, Ágnes},
	booktitle = {Orvosi Informatika 2018.},
	unique-id = {30338542},
	year = {2018},
	pages = {37-42},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:3199799,
	title = {Controllability and observability in complex networks – the effect of connection types},
	url = {https://m2.mtmt.hu/api/publication/3199799},
	author = {Leitold, Dániel and Fogarassyné Vathy, Ágnes and Abonyi, János},
	doi = {10.1038/s41598-017-00160-5},
	journal-iso = {SCI REP},
	journal = {SCIENTIFIC REPORTS},
	volume = {7},
	unique-id = {3199799},
	issn = {2045-2322},
	year = {2017},
	eissn = {2045-2322},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@article{MTMT:3266548,
	title = {Risk factors for heart failure after doxorubicin chemotherapy for breast- or colorectal cancer},
	url = {https://m2.mtmt.hu/api/publication/3266548},
	author = {Fogarassy, György and Fogarassyné Vathy, Ágnes and Hornyák, Lajos and Forster, Tamás},
	doi = {10.1093/eurheartj/ehx502.1958},
	journal-iso = {EUR HEART J},
	journal = {EUROPEAN HEART JOURNAL},
	volume = {38},
	unique-id = {3266548},
	issn = {0195-668X},
	year = {2017},
	eissn = {1522-9645},
	pages = {406-406},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Forster, Tamás/0000-0003-3311-6475}
}

@article{MTMT:3254571,
	title = {Risk Factors for Heart Failure after Epirubicin Chemotherapy for Breast- or Colorectal Cancer = A szívelégtelenség kialakulásának rizikótényezői emlő-, vagy colonkarcinóma miatt alkalmazott epirubicin kezelést követően},
	url = {https://m2.mtmt.hu/api/publication/3254571},
	author = {Fogarassy, György and Fogarassyné Vathy, Ágnes and Hornyák, Lajos and Forster, Tamás},
	journal-iso = {CARDIOL HUNG},
	journal = {CARDIOLOGIA HUNGARICA},
	volume = {47},
	unique-id = {3254571},
	issn = {0133-5596},
	year = {2017},
	eissn = {1588-0230},
	pages = {C104-C104},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Forster, Tamás/0000-0003-3311-6475}
}

@article{MTMT:3254574,
	title = {Risk factors for heart failure after epirubicin chemotherapy for breast or colorectal cancer},
	url = {https://m2.mtmt.hu/api/publication/3254574},
	author = {Fogarassy, György and Fogarassyné Vathy, Ágnes and Hornyák, Lajos and Forster, Tamás},
	journal-iso = {EUR J HEART FAIL},
	journal = {EUROPEAN JOURNAL OF HEART FAILURE},
	volume = {19},
	unique-id = {3254574},
	issn = {1388-9842},
	year = {2017},
	eissn = {1879-0844},
	pages = {445-445},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Forster, Tamás/0000-0003-3311-6475}
}

@inproceedings{MTMT:3295610,
	title = {Oncological care process characteristics in Hungary: a longitudinal study},
	url = {https://m2.mtmt.hu/api/publication/3295610},
	author = {Vassányi, István and Ahmed Hama Karim, Rebaz and Hornyák, Lajos and Fogarassyné Vathy, Ágnes},
	booktitle = {2017 IEEE 30TH NEUMANN COLLOQUIUM (NC)},
	doi = {10.1109/NC.2017.8263258},
	unique-id = {3295610},
	year = {2017},
	pages = {89-92},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@inproceedings{MTMT:3297656,
	title = {Applicability of Process Mining in the Exploration of Healthcare Sequences},
	url = {https://m2.mtmt.hu/api/publication/3297656},
	author = {Krisztina, Tóth and Károly, Machalik and Fogarassy, György and Fogarassyné Vathy, Ágnes},
	booktitle = {2017 IEEE 30TH NEUMANN COLLOQUIUM (NC)},
	doi = {10.1109/NC.2017.8263273},
	unique-id = {3297656},
	year = {2017},
	pages = {151-155},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:3229725,
	title = {Comparison of Control Group Generating Methods.},
	url = {https://m2.mtmt.hu/api/publication/3229725},
	author = {Szekér, Szabolcs and Fogarassy, György and Fogarassyné Vathy, Ágnes},
	doi = {10.3233/978-1-61499-759-7-311},
	journal-iso = {STUD HEALTH TECHNOL INFORM},
	journal = {STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS},
	volume = {236},
	unique-id = {3229725},
	issn = {0926-9630},
	abstract = {Retrospective studies suffer from drawbacks such as selection bias. As the selection of the control group has a significant impact on the evaluation of the results, it is very important to find the proper method to generate the most appropriate control group. In this paper we suggest two nearest neighbors based control group selection methods that aim to achieve good matching between the individuals of case and control groups. The effectiveness of the proposed methods is evaluated by runtime and accuracy tests and the results are compared to the classical stratified sampling method.},
	year = {2017},
	eissn = {1879-8365},
	pages = {311-318},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@{MTMT:3344290,
	title = {Novel k Nearest Neighbour-based Control Group Selection Methods},
	url = {https://m2.mtmt.hu/api/publication/3344290},
	author = {Szekér, Szabolcs and Fogarassyné Vathy, Ágnes},
	booktitle = {13th Miklós Iványi International PhD & DLA Symposium - Abstract Book : Architectural, Engineering and Information Sciences},
	unique-id = {3344290},
	year = {2017},
	pages = {124},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:3229724,
	title = {Frequent Treatment Sequence Mining from Medical Databases.},
	url = {https://m2.mtmt.hu/api/publication/3229724},
	author = {Toth, K and Kósa, István and Fogarassyné Vathy, Ágnes},
	doi = {10.3233/978-1-61499-759-7-211},
	journal-iso = {STUD HEALTH TECHNOL INFORM},
	journal = {STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS},
	volume = {236},
	unique-id = {3229724},
	issn = {0926-9630},
	abstract = {The huge amount of data stored in healthcare databases allows wide range possibilities for data analysis. In this article, we present a novel multilevel analysis methodology to generate and analyze sequential healthcare treatment events. The event sequences can be generated on different abstraction levels automatically from the source data, and so they describe the treatment of patients on different levels of detail. To present applicability of the proposed methodology, we introduce a short case study as well, in which some analysis results are presented arising from the analysis of a group of patients suffering from colorectal cancer.},
	year = {2017},
	eissn = {1879-8365},
	pages = {211-218},
	orcid-numbers = {Kósa, István/0000-0002-8805-4307; Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:3220181,
	title = {Uniform data access platform for SQL and NoSQL database systems},
	url = {https://m2.mtmt.hu/api/publication/3220181},
	author = {Fogarassyné Vathy, Ágnes and Hugyák, Tamás},
	doi = {10.1016/j.is.2017.04.002},
	journal-iso = {INFORM SYST},
	journal = {INFORMATION SYSTEMS},
	volume = {69},
	unique-id = {3220181},
	issn = {0306-4379},
	keywords = {Data integration; Relational database management systems; JSON; MongoDB; NoSQL database management systems; Uniform data access},
	year = {2017},
	eissn = {1873-6076},
	pages = {93-105},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:2972636,
	title = {Geodesic distance based fuzzy c-medoid clustering – searching for central points in graphs and high dimensional data},
	url = {https://m2.mtmt.hu/api/publication/2972636},
	author = {András, Király and Fogarassyné Vathy, Ágnes and Abonyi, János},
	doi = {10.1016/j.fss.2015.06.022},
	journal-iso = {FUZZY SET SYST},
	journal = {FUZZY SETS AND SYSTEMS},
	volume = {286},
	unique-id = {2972636},
	issn = {0165-0114},
	year = {2016},
	eissn = {1872-6801},
	pages = {157-172},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@CONFERENCE{MTMT:3159100,
	title = {Process mining based analysis of changeover times - an integrated approach to support line balancing},
	url = {https://m2.mtmt.hu/api/publication/3159100},
	author = {Leitold, Dániel and Fogarassyné Vathy, Ágnes and János, Abonyi},
	booktitle = {VOCAL 2016},
	unique-id = {3159100},
	year = {2016},
	pages = {42-43},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@inproceedings{MTMT:3072621,
	title = {MEASURING SUSTAINABILITY – NETWORK SCIENCE BASED ANALYSIS OF WATER RESOURCES MODELS},
	url = {https://m2.mtmt.hu/api/publication/3072621},
	author = {Leitold, Dániel and Fogarassyné Vathy, Ágnes and Süle, Zoltán and Manchin, Róbert and Abonyi, János},
	booktitle = {17th EDSI Conference},
	unique-id = {3072621},
	year = {2016},
	pages = {189-203},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@article{MTMT:3023273,
	title = {A betegek anonimitásának biztosítása a földrajzi elhelyezkedésre kiterjedő egészségügyi adatelemzések során},
	url = {https://m2.mtmt.hu/api/publication/3023273},
	author = {Fogarassyné Vathy, Ágnes and Machalik, Károly and Vassányi, István and Kósa, István},
	journal-iso = {IME},
	journal = {IME},
	volume = {15},
	unique-id = {3023273},
	issn = {1588-6387},
	year = {2016},
	eissn = {1789-9974},
	pages = {46-50},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Kósa, István/0000-0002-8805-4307}
}

@article{MTMT:3060955,
	title = {Kemoterápiával összefüggő kardális szövődmények elemzése emlő- és colonkarcinomás betegek esetében az országos finanszírozási adatbázis alapján. Analysis of chemotherapy related cardiac adverse events in breast and colorectal cancer patients based on national health insurance database},
	url = {https://m2.mtmt.hu/api/publication/3060955},
	author = {Fogarassy, György and Fogarassyné Vathy, Ágnes and Hornyák, Lajos and Kósa, István},
	journal-iso = {CARDIOL HUNG},
	journal = {CARDIOLOGIA HUNGARICA},
	volume = {46},
	unique-id = {3060955},
	issn = {0133-5596},
	year = {2016},
	eissn = {1588-0230},
	pages = {102-103},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Kósa, István/0000-0002-8805-4307}
}

@inproceedings{MTMT:3158722,
	title = {Betegségek kapcsolatrendszerének hálózatai},
	url = {https://m2.mtmt.hu/api/publication/3158722},
	author = {Machalik, Károly and Fogarassyné Vathy, Ágnes},
	booktitle = {Orvosi Informatika 2016. A XXIX. Neumann Kollokvium konferencia-kiadványa},
	unique-id = {3158722},
	year = {2016},
	pages = {11-15},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:3030873,
	title = {Scalable co-Clustering using a Crossing Minimization - Application to Production Flow Analysis},
	url = {https://m2.mtmt.hu/api/publication/3030873},
	author = {Pigler, Csaba and Fogarassyné Vathy, Ágnes and Abonyi, János},
	doi = {10.12700/APH.13.2.2016.2.12},
	journal-iso = {ACTA POLYTECH HUNG},
	journal = {ACTA POLYTECHNICA HUNGARICA},
	volume = {13},
	unique-id = {3030873},
	issn = {1785-8860},
	year = {2016},
	eissn = {1785-8860},
	pages = {209-228},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@inproceedings{MTMT:3158711,
	title = {Kontrollcsoport-generálási lehetőségek retrospektív egészségügyi vizsgálatokhoz},
	url = {https://m2.mtmt.hu/api/publication/3158711},
	author = {Szekér, Szabolcs and Fogarassyné Vathy, Ágnes},
	booktitle = {Orvosi Informatika 2016. A XXIX. Neumann Kollokvium konferencia-kiadványa},
	unique-id = {3158711},
	year = {2016},
	pages = {135-139},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@inproceedings{MTMT:3158719,
	title = {Onkológiai ellátási eseménysorok automatikus generálása az egészségügyi finanszírozási adatbázis adatai alapján},
	url = {https://m2.mtmt.hu/api/publication/3158719},
	author = {Tóth, Krisztina and Kósa, István and Fogarassyné Vathy, Ágnes},
	booktitle = {Orvosi Informatika 2016. A XXIX. Neumann Kollokvium konferencia-kiadványa},
	unique-id = {3158719},
	year = {2016},
	pages = {5-10},
	orcid-numbers = {Kósa, István/0000-0002-8805-4307; Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@{MTMT:2851718,
	title = {Detecting Community Structures Based on Neighborhood Relations},
	url = {https://m2.mtmt.hu/api/publication/2851718},
	author = {Fogarassyné Vathy, Ágnes and Cs, Pigler and Leitold, Dániel and Süle, Zoltán},
	booktitle = {Research in the Decision Sciences for Global Business},
	unique-id = {2851718},
	year = {2015},
	pages = {201-218},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@inproceedings{MTMT:3001543,
	title = {A biológiai terápiás kezelések hatékonyságának elemzési módszertana az egészségügyi finanszírozási adatbázisokban},
	url = {https://m2.mtmt.hu/api/publication/3001543},
	author = {Fogarassyné Vathy, Ágnes and Szekér, Szabolcs and Hornyák, Lajos},
	booktitle = {Új alapokon az egészségügyi informatika},
	unique-id = {3001543},
	year = {2015},
	pages = {11-16},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:3158921,
	title = {Biológiai terápiás eredmények, adatok a Csolnoky Ferenc Kórház Onkológiai Osztályán az országos eredmények tükrében},
	url = {https://m2.mtmt.hu/api/publication/3158921},
	author = {Hornyák, Lajos and Kocsis, Roland and Fogarassyné Vathy, Ágnes},
	journal-iso = {MAGYAR ONKOLÓGIA},
	journal = {MAGYAR ONKOLÓGIA},
	volume = {59},
	unique-id = {3158921},
	issn = {0025-0244},
	year = {2015},
	eissn = {2060-0399},
	pages = {24-24},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@inproceedings{MTMT:2841471,
	title = {Manufacturing cell formation by crossing minimization based co-clustering},
	url = {https://m2.mtmt.hu/api/publication/2841471},
	author = {Csaba, Pigler and Fogarassyné Vathy, Ágnes and Janos, Abonyi},
	booktitle = {ASCONIKK 2014: Extended abstracts I. Information Technologies for Logistic Systems},
	unique-id = {2841471},
	year = {2014},
	pages = {30-36}
}

@inproceedings{MTMT:2841422,
	title = {Observability and controllability based reliability analysis of complex networks and dynamical systems. The COND MATLAB toolbox},
	url = {https://m2.mtmt.hu/api/publication/2841422},
	author = {Leitold, Dániel and Fogarassyné Vathy, Ágnes and Janos, Abonyi},
	booktitle = {ASCONIKK 2014: Extended Abstracts},
	unique-id = {2841422},
	year = {2014},
	pages = {41-48}
}

@{MTMT:2597395,
	title = {Fuzzy c-Medoid Graph Clustering},
	url = {https://m2.mtmt.hu/api/publication/2597395},
	author = {Király, András and Fogarassyné Vathy, Ágnes and Abonyi, János},
	booktitle = {Artificial Intelligence and Soft Computing},
	doi = {10.1007/978-3-319-07176-3_64},
	unique-id = {2597395},
	year = {2014},
	pages = {738-748},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@book{MTMT:2279379,
	title = {Graph-Based Clustering and Data Visualization Algorithms},
	url = {https://m2.mtmt.hu/api/publication/2279379},
	isbn = {9781447151579},
	author = {Fogarassyné Vathy, Ágnes and Abonyi, János},
	doi = {10.1007/978-1-4471-5158-6},
	publisher = {Springer Wien},
	unique-id = {2279379},
	year = {2013},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@article{MTMT:31256419,
	title = {Egy új kobalt-króm koronária stent hatékonyságának és biztonságosságának vizsgálata a hazai regiszter eredményeinek alapján},
	url = {https://m2.mtmt.hu/api/publication/31256419},
	author = {Fogarassy, György and Apró, D. and Fogarassyné Vathy, Ágnes and Thury, Attila},
	journal-iso = {CARDIOL HUNG},
	journal = {CARDIOLOGIA HUNGARICA},
	volume = {43},
	unique-id = {31256419},
	issn = {0133-5596},
	year = {2013},
	eissn = {1588-0230},
	pages = {B40-B40},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@CONFERENCE{MTMT:2519502,
	title = {A novel locality-based clustering method of undirected, unweighted networks},
	url = {https://m2.mtmt.hu/api/publication/2519502},
	author = {Süle, Zoltán and Leitold, Dániel and Cs, Pigler and Fogarassyné Vathy, Ágnes},
	booktitle = {4th Annual Conference of the European Decision Sciences Institute (EDSI)},
	doi = {10.5281/ZENODO.3911241},
	unique-id = {2519502},
	year = {2013},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:31256406,
	title = {Primer PCI során implantált embólia protektív MGuard-stent alkalmazásának hat hónapos klinikai és angiográfiás utánkövetése},
	url = {https://m2.mtmt.hu/api/publication/31256406},
	author = {Apró, D. and Fogarassy, György and Faluközy, J. and Bujáky, C. and Kovács, E. and Fogarassyné Vathy, Ágnes and Kelemen, B. and Veress, G.},
	journal-iso = {CARDIOL HUNG},
	journal = {CARDIOLOGIA HUNGARICA},
	volume = {42},
	unique-id = {31256406},
	issn = {0133-5596},
	year = {2012},
	eissn = {1588-0230},
	pages = {A7-A7},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:31256408,
	title = {Bifurkációs koszorúér-szűkületek crush stenteléssel történő intervencióját követő hosszú távú kimenetel saját regiszterünk alapján},
	url = {https://m2.mtmt.hu/api/publication/31256408},
	author = {Fogarassy, György and Apró, D. and Faluközy, J. and Bujáky, C. and Fogarassyné Vathy, Ágnes and Kovács, E. and Veress, G.},
	journal-iso = {CARDIOL HUNG},
	journal = {CARDIOLOGIA HUNGARICA},
	volume = {42},
	unique-id = {31256408},
	issn = {0133-5596},
	year = {2012},
	eissn = {1588-0230},
	pages = {A76-A76},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:1825605,
	title = {Különböző generikus klopidogrél készítmények trombocitaaggregáció-gátló hatásának vizsgálata és összehasonlítása az originális klopidogréllel koronária-intervención átesett betegeknél (AGGREGO vizsgálat)},
	url = {https://m2.mtmt.hu/api/publication/1825605},
	author = {Fogarassy, György and Kovács, E and Faluközy, J and Stef, Gy and Fogarassyné Vathy, Ágnes and Bujáky, Cs and Apró, D and Veress, G},
	journal-iso = {CARDIOL HUNG},
	journal = {CARDIOLOGIA HUNGARICA},
	volume = {41},
	unique-id = {1825605},
	issn = {0133-5596},
	year = {2011},
	eissn = {1588-0230},
	pages = {F92},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@book{MTMT:1802544,
	title = {Intelligens adatelemzés},
	url = {https://m2.mtmt.hu/api/publication/1802544},
	isbn = {9789632795263},
	author = {Fogarassyné Vathy, Ágnes and Starkné Werner, Ágnes},
	publisher = {Typotex Kiadó},
	unique-id = {1802544},
	year = {2011},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@mastersthesis{MTMT:1758988,
	title = {Novel graph based clustering and visualization algorithms for data mining},
	url = {https://m2.mtmt.hu/api/publication/1758988},
	author = {Fogarassyné Vathy, Ágnes},
	unique-id = {1758988},
	year = {2009},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:1276909,
	title = {Local and global mappings of topology representing networks},
	url = {https://m2.mtmt.hu/api/publication/1276909},
	author = {Fogarassyné Vathy, Ágnes and Abonyi, János},
	doi = {10.1016/j.ins.2009.07.001},
	journal-iso = {INFORM SCIENCES},
	journal = {INFORMATION SCIENCES},
	volume = {179},
	unique-id = {1276909},
	issn = {0020-0255},
	year = {2009},
	eissn = {1872-6291},
	pages = {3791-3803},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@inproceedings{MTMT:1802204,
	title = {Kooperatív módszerek felhasználása az egyetemi oktatásban egy konkrét tantárgyhoz kapcsolódóan [THE APPLICATION OF COOPERATIVE METHODS IN UNIVERSITY EDUCATION CONNECTED TO A PARTICULAR SUBJECT]},
	url = {https://m2.mtmt.hu/api/publication/1802204},
	author = {Starkné Werner, Ágnes and Fogarassyné Vathy, Ágnes and Gál, B},
	booktitle = {Informatika a felsőoktatásban 2008},
	unique-id = {1802204},
	year = {2008},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:1751237,
	title = {A számítógépes szimulációk szerepe a kémia oktatásában},
	url = {https://m2.mtmt.hu/api/publication/1751237},
	author = {Starkné Werner, Ágnes and Fogarassyné Vathy, Ágnes},
	journal-iso = {A KÉMIA TANÍTÁSA},
	journal = {A KÉMIA TANÍTÁSA: MÓDSZERTANI FOLYÓIRAT},
	volume = {16},
	unique-id = {1751237},
	issn = {1216-7576},
	year = {2008},
	pages = {17-21},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:1340601,
	title = {Topology Representing Network Map – A New Tool for Visualization of High-Dimensional Data},
	url = {https://m2.mtmt.hu/api/publication/1340601},
	author = {Fogarassyné Vathy, Ágnes and Kiss, Attila and Abonyi, János},
	doi = {10.1007/978-3-540-79299-4_3},
	journal-iso = {LNCS},
	journal = {LECTURE NOTES IN COMPUTER SCIENCE},
	volume = {4750},
	unique-id = {1340601},
	issn = {0302-9743},
	abstract = {In practical data mining problems high-dimensional data has to 
		be analyzed. In most of these cases it is very informative to 
		map and visualize the hidden structure of complex data set in a 
		low-dimensional space. The aim of this paper is to propose a new 
		mapping algorithm based both on the topology and the metric of 
		the data.
		The utilized Topology Representing Network (TRN) combines neural 
		gas vector quantization and competitive Hebbian learning rule in 
		such a way that the hidden data structure is approximated by a 
		compact graph representation. TRN is able to define a low-
		dimensional manifold in the high-dimensional feature space. In 
		case the existence of a manifold, multidimensional scaling 
		and/or Sammon mapping of the graph distances can be used to form 
		the map of the TRN (TRNMap).
		The systematic analysis of the algorithms that can be used for 
		data visualization and the numerical examples presented in this 
		paper demonstrate that the resulting map gives a good 
		representation of the topology and the metric of complex data 
		sets, and the component plane representation of TRNMap is useful 
		to explore the hidden relations among the features.},
	year = {2008},
	eissn = {1611-3349},
	pages = {61-84},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Kiss, Attila/0000-0001-8174-6194; Abonyi, János/0000-0001-8593-1493}
}

@article{MTMT:1276910,
	title = {Topology representing networks for the visualization of manifolds},
	url = {https://m2.mtmt.hu/api/publication/1276910},
	author = {Fogarassyné Vathy, Ágnes and Starkné Werner, Ágnes and Abonyi, János},
	doi = {10.1007/s10852-008-9092-y},
	journal-iso = {J MATH MODEL ALGORITHMS},
	journal = {JOURNAL OF MATHEMATICAL MODELLING AND ALGORITHMS},
	volume = {7},
	unique-id = {1276910},
	issn = {1570-1166},
	year = {2008},
	pages = {351-370},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@inproceedings{MTMT:1763228,
	title = {Virtual Reality Simulations in the Education of Mathematics and Physics},
	url = {https://m2.mtmt.hu/api/publication/1763228},
	author = {Starkné Werner, Ágnes and Fogarassyné Vathy, Ágnes and Gál, B},
	booktitle = {Proceedings of ED-MEDIA 2008 World Conference on Educational Multimedia, Hypermedia & Telecommunications},
	unique-id = {1763228},
	year = {2008},
	pages = {5478-5483},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@CONFERENCE{MTMT:1777866,
	title = {Genetikus algoritmusok tárgy oktatása MATLAB segítségével},
	url = {https://m2.mtmt.hu/api/publication/1777866},
	author = {Starkné Werner, Ágnes and Fogarassyné Vathy, Ágnes},
	booktitle = {Felsőoktatási Matematika-, Fizika- és Számítástechnika Oktatók XXXI. Konferenciája},
	unique-id = {1777866},
	year = {2007},
	pages = {288-296}
}

@inproceedings{MTMT:1342147,
	title = {Improvement of Jarvis-Patrick clustering based on fuzzy similarity},
	url = {https://m2.mtmt.hu/api/publication/1342147},
	author = {Fogarassyné Vathy, Ágnes and Kiss, Attila and Abonyi, János},
	booktitle = {Applications of Fuzzy Sets Theory},
	doi = {10.1007/978-3-540-73400-0_24},
	unique-id = {1342147},
	year = {2007},
	pages = {195-202},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Kiss, Attila/0000-0001-8174-6194; Abonyi, János/0000-0001-8593-1493}
}

@inproceedings{MTMT:1141268,
	title = {Visualization of topology representing networks},
	url = {https://m2.mtmt.hu/api/publication/1141268},
	author = {Fogarassyné Vathy, Ágnes and Starkné Werner, Ágnes and Gal, B and Abonyi, János},
	booktitle = {Intelligent Data Engineering and Automated Learning - IDEAL 2007},
	doi = {10.1007/978-3-540-77226-2_57},
	unique-id = {1141268},
	abstract = {As data analysis tasks often have to face the analysis of huge 
		and
		complex data sets there is a need for new algorithms that 
		combine
		vector quantization and mapping methods to visualize the hidden 
		data
		structure in a low-dimensional vector space. In this paper a new 
		class
		of algorithms is defined. Topology representing networks are 
		applied to
		quantify and disclose the data structure and different nonlinear
		mapping algorithms for the low-dimensional visualization are 
		applied
		for the mapping of the quantized data. To evaluate the main 
		properties
		of the resulted topology representing network based mapping 
		methods a
		detailed analysis based on the wine benchmark example is given.},
	keywords = {VISUALIZATION; NEURAL NETWORKS; Algorithms; TOPOLOGY; Data reduction; Data structures; Representing networks; Mapping algorithms; Complex data sets; Vector quantization; Topology representing networks},
	year = {2007},
	pages = {557-566},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@article{MTMT:1141257,
	title = {Minimal Spanning Tree based Fuzzy Clustering},
	url = {https://m2.mtmt.hu/api/publication/1141257},
	author = {Fogarassyné Vathy, Ágnes and Feil, B and Abonyi, János},
	journal-iso = {WASET},
	journal = {WORLD ACADEMY OF SCIENCE ENGINEERING AND TECHNOLOGY},
	volume = {1},
	unique-id = {1141257},
	issn = {1307-6892},
	abstract = {Most of fuzzy clustering algorithms have some discrepancies, 
		e.g. they
		are not able to detect clusters with convex shapes, the number 
		of the
		clusters should be a priori known, they suffer from numerical 
		problems,
		like sensitiveness to the initialization, etc. This paper 
		studies the
		synergistic combination of the hierarchical and graph theoretic 
		minimal
		spanning tree based clustering algorithm with the partitional 
		Gath-Geva
		fuzzy clustering algorithm. The aim of this hybridization is to
		increase the robustness and consistency of the clustering 
		results and
		to decrease the number of the heuristically defined parameters 
		of these
		algorithms to decrease the influence of the user on the 
		clustering
		results. For the analysis of the resulted fuzzy clusters a new 
		fuzzy
		similarity measure based tool has been presented. The calculated
		similarities of the clusters can be used for the hierarchical
		clustering of the resulted fuzzy clusters, which information is 
		useful
		for cluster merging and for the visualization of the clustering
		results. As the examples used for the illustration of the 
		operation of
		the new algorithm will show, the proposed algorithm can detect 
		clusters
		from data with arbitrary shape and does not suffer from the 
		numerical problems of the classical Gath-Geva fuzzy clustering algorithm.},
	year = {2007},
	pages = {7-12},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Abonyi, János/0000-0001-8593-1493}
}

@inproceedings{MTMT:1763208,
	title = {Virtual reality in the teaching of mathematics and physics},
	url = {https://m2.mtmt.hu/api/publication/1763208},
	author = {Starkné Werner, Ágnes and Fogarassyné Vathy, Ágnes},
	booktitle = {iTET 2007: Proceedings of the Joint Working Conference},
	unique-id = {1763208},
	year = {2007},
	pages = {194-203}
}

@article{MTMT:1030734,
	title = {Szakértő szoftverágens a diszlexia lehetőségének megállapítására},
	url = {https://m2.mtmt.hu/api/publication/1030734},
	author = {Starkné Werner, Ágnes and Fogarassyné Vathy, Ágnes and Csoma, Ádám},
	journal-iso = {ACTA AGRARIA KAPOSV},
	journal = {ACTA AGRARIA KAPOSVÁRIENSIS},
	volume = {10},
	unique-id = {1030734},
	issn = {1418-1789},
	year = {2006},
	pages = {65-82},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@inbook{MTMT:1758992,
	title = {Csoportosítás (klaszterezés)},
	url = {https://m2.mtmt.hu/api/publication/1758992},
	author = {Fogarassyné Vathy, Ágnes},
	booktitle = {Adatbányászat},
	unique-id = {1758992},
	year = {2006},
	pages = {131-184},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:1881782,
	title = {Adatbányászati alkalmazások az egészségügyben},
	url = {https://m2.mtmt.hu/api/publication/1881782},
	author = {Vassányi, István and Fogarassyné Vathy, Ágnes and Tobak, Tamás and Rovnyai, János},
	journal-iso = {IME},
	journal = {IME},
	volume = {5},
	unique-id = {1881782},
	issn = {1588-6387},
	year = {2006},
	eissn = {1789-9974},
	pages = {49-53},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:1141262,
	title = {Hybrid minimal spanning tree and mixture of gaussians based clustering algorithm},
	url = {https://m2.mtmt.hu/api/publication/1141262},
	author = {Fogarassyné Vathy, Ágnes and Kiss, Attila and Abonyi, János},
	doi = {10.1007/11663881_18},
	journal-iso = {LNCS},
	journal = {LECTURE NOTES IN COMPUTER SCIENCE},
	volume = {3861},
	unique-id = {1141262},
	issn = {0302-9743},
	abstract = {Clustering is an important too] to explore the hidden structure 
		of
		large databases. There are several algorithms based on different
		approaches (hierarchical, partitional, density-based, model-
		based,
		etc.). Most of these algorithms have some discrepancies, e.g. 
		they are
		not able to detect clusters with convex shapes, the number of 
		the
		clusters should be a priori known, they suffer from numerical 
		problems,
		like sensitiveness to the initialization, etc. In this paper we
		introduce a new clustering algorithm based on the sinergistic
		combination of the hierarchial and graph theoretic minimal 
		spanning
		tree based clustering and the partitional Gaussian mixture 
		model-based
		clustering algorithms. The aim of this hybridization is to 
		increase the
		robustness and consistency of the clustering results and to 
		decrease
		the number of the heuristically defined parameters of these 
		algorithms
		to decrease the influence of the user on the clustering results. 
		As the
		examples used for the illustration of the operation of the new
		algorithm will show, the proposed algorithm can detect clusters 
		from
		data with arbitrary shape and does not suffer from the numerical
		problems of the Gaussian mixture based clustering algorithms.},
	year = {2006},
	eissn = {1611-3349},
	pages = {313-330},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Kiss, Attila/0000-0001-8174-6194; Abonyi, János/0000-0001-8593-1493}
}

@inproceedings{MTMT:1758616,
	title = {Intelligent Data Analysis Center: A Client/Server Mining Model over the Internet},
	url = {https://m2.mtmt.hu/api/publication/1758616},
	author = {Fogarassyné Vathy, Ágnes and G, Balázs and T, Tobak and Vassányi, István},
	booktitle = {Proceedings of 1st ADBIS Workshop on Data Mining and Knowledge Discovery},
	unique-id = {1758616},
	year = {2005},
	pages = {57-65},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:1881783,
	title = {Adatbányászati technológiák az egészségügyben},
	url = {https://m2.mtmt.hu/api/publication/1881783},
	author = {Fogarassyné Vathy, Ágnes and Vassányi, István},
	journal-iso = {IME},
	journal = {IME},
	volume = {4},
	unique-id = {1881783},
	issn = {1588-6387},
	year = {2005},
	eissn = {1789-9974},
	pages = {46-51},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@CONFERENCE{MTMT:1758957,
	title = {Intelligens adatelemző központ létrehozása},
	url = {https://m2.mtmt.hu/api/publication/1758957},
	author = {Fogarassyné Vathy, Ágnes and Pataricza, András},
	booktitle = {XXIII. Centenáriumi Neumann Kollokvium elektronikus kiadványa},
	unique-id = {1758957},
	year = {2004},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Pataricza, András/0000-0002-6516-129X}
}

@CONFERENCE{MTMT:1758699,
	title = {Application of Data Mining Methods in Health Care Databases},
	url = {https://m2.mtmt.hu/api/publication/1758699},
	author = {Fogarassyné Vathy, Ágnes},
	booktitle = {Proceedings of the 6th international conference on applied informatics (ICAI 2004)},
	unique-id = {1758699},
	year = {2004},
	pages = {261-266},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@book{MTMT:2904232,
	title = {Adatbányászat. Koncepciók és technikák},
	url = {https://m2.mtmt.hu/api/publication/2904232},
	isbn = {9635453949},
	author = {Jiawei, Han and Micheline, Kamber},
	publisher = {Panem Könyvkiadó},
	unique-id = {2904232},
	year = {2004},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@article{MTMT:1758687,
	title = {Egészségügyi adatok előkészítése elemzések céljából},
	url = {https://m2.mtmt.hu/api/publication/1758687},
	author = {Fogarassyné Vathy, Ágnes and Fogarassy, György},
	journal-iso = {IME},
	journal = {IME},
	volume = {2003},
	unique-id = {1758687},
	issn = {1588-6387},
	year = {2003},
	eissn = {1789-9974},
	pages = {36-41},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@CONFERENCE{MTMT:1758981,
	title = {Database Security – Access Rights from Design to Implementation},
	url = {https://m2.mtmt.hu/api/publication/1758981},
	author = {Fogarassyné Vathy, Ágnes and Kiss, Attila},
	booktitle = {Proceedings of the 5th International Conference on Applied Informatics},
	unique-id = {1758981},
	year = {2002},
	pages = {85-94},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675; Kiss, Attila/0000-0001-8174-6194}
}

@inproceedings{MTMT:1758978,
	title = {Adatbázisok biztonságának tervezési módszere és megvalósítási kérdései},
	url = {https://m2.mtmt.hu/api/publication/1758978},
	author = {Fogarassyné Vathy, Ágnes},
	booktitle = {Informatika a felsőoktatásban 2002},
	unique-id = {1758978},
	year = {2002},
	pages = {190}
}

@inproceedings{MTMT:1758985,
	title = {A jó minőségű EER modell helye az adatbázis-tervezésben},
	url = {https://m2.mtmt.hu/api/publication/1758985},
	author = {Timár, Lajos and Fogarassyné Vathy, Ágnes},
	booktitle = {Informatika a felsőoktatásban ’99 konferencia},
	unique-id = {1758985},
	year = {1999},
	pages = {86-91},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@inproceedings{MTMT:1758983,
	title = {Az EER modell koncepcióinak érvényesülése egy relációs adatbázis-rendszerben},
	url = {https://m2.mtmt.hu/api/publication/1758983},
	author = {Fogarassyné Vathy, Ágnes and Timár, Lajos},
	booktitle = {Informatika a felsőoktatásban ’99 konferencia},
	unique-id = {1758983},
	year = {1999},
	pages = {92-97},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@{MTMT:31927646,
	title = {Egyed-kapcsolat modell (ER modell)},
	url = {https://m2.mtmt.hu/api/publication/31927646},
	author = {Fogarassyné Vathy, Ágnes},
	booktitle = {Építsünk könnyen és lassan adatmodellt!},
	unique-id = {31927646},
	year = {1996},
	pages = {23-45},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@book{MTMT:1759494,
	title = {Építsünk könnyen és lassan adatmodellt!},
	url = {https://m2.mtmt.hu/api/publication/1759494},
	editor = {Timár, L and Vigh, Krisztina and Fogarassyné Vathy, Ágnes and Telekesi, Éva},
	publisher = {University of Pannonia},
	unique-id = {1759494},
	year = {1996},
	orcid-numbers = {Fogarassyné Vathy, Ágnes/0000-0002-5524-1675}
}

@book{MTMT:1759497,
	title = {Adatmodellezési feladatok I.},
	url = {https://m2.mtmt.hu/api/publication/1759497},
	author = {Fogarassyné Vathy, Ágnes and Németh, K},
	publisher = {Veszprémi Egyetem Tanárképző Kar Matematikai és Számítástechnikai Tanszék},
	unique-id = {1759497},
	year = {1996}
}