TY - JOUR AU - Miseta, Tamás AU - Fodor, Attila AU - Fogarassyné Vathy, Ágnes TI - Surpassing early stopping: A novel correlation-based stopping criterion for neural networks JF - NEUROCOMPUTING J2 - NEUROCOMPUTING VL - 567 PY - 2024 SP - 127028 SN - 0925-2312 DO - 10.1016/j.neucom.2023.127028 UR - https://m2.mtmt.hu/api/publication/34395727 ID - 34395727 LA - English DB - MTMT ER - TY - CONF AU - Fogarassyné Vathy, Ágnes TI - Adatalapú egészségügyi döntéstámogatás és optimalizáció T2 - Pannon Innovációs Nap PY - 2023 UR - https://m2.mtmt.hu/api/publication/34016905 ID - 34016905 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Gombás, Veronika AU - Dulai, Tibor AU - Fogarassyné Vathy, Ágnes ED - Vassányi, István ED - Fogarassyné Vathy, Ágnes TI - Egészégügyi időpontütemezés optimalizálási lehetőségeinek vizsgálata genetikus algoritmus alkalmazásával T2 - Orvosi informatika. A XXXVI. Neumann Kollokvium konferencia-kiadványa PB - Neumann János Számítógép-tudományi Társaság CY - Veszprém SN - 9789633962725 PY - 2023 SP - 17 EP - 26 PG - 10 DO - 10.5281/zenodo.10430445 UR - https://m2.mtmt.hu/api/publication/34450841 ID - 34450841 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Gyarmati, László AU - Mihálykóné Orbán, Éva AU - Mihálykó, Lajos Csaba AU - Fogarassyné Vathy, Ágnes TI - Aggregated Rankings of Top Leagues’ Football Teams: Application and Comparison of Different Ranking Methods JF - APPLIED SCIENCES-BASEL J2 - APPL SCI-BASEL VL - 13 PY - 2023 IS - 7 SN - 2076-3417 DO - 10.3390/app13074556 UR - https://m2.mtmt.hu/api/publication/33733688 ID - 33733688 N1 - Department of Mathematics, University of Pannonia, Egyetem u. 10, Veszprém, 8200, Hungary Department of Computer Science and Systems Technology, University of Pannonia, Egyetem u. 10, Veszprém, 8200, Hungary Export Date: 8 May 2023 Correspondence Address: Orbán-Mihálykó, É.; Department of Mathematics, Egyetem u. 10, Hungary Correspondence Address: Vathy-Fogarassy, Á.; Department of Computer Science and Systems Technology, Egyetem u. 10, Hungary AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Kontos, János AU - Kránicz, Balázs AU - Fogarassyné Vathy, Ágnes TI - Prediction for Future Yaw Rate Values of Vehicles Using Long Short-Term Memory Network JF - SENSORS J2 - SENSORS-BASEL VL - 23 PY - 2023 IS - 12 SN - 1424-8220 DO - 10.3390/s23125670 UR - https://m2.mtmt.hu/api/publication/34022101 ID - 34022101 LA - English DB - MTMT ER - TY - JOUR AU - Süle, Zoltán AU - Baumgartner, János AU - Leitold, Dániel AU - Dulai, Tibor AU - Orosz, Ákos AU - Fogarassyné Vathy, Ágnes TI - Software Framework and Graph-based Methodology for Optimal Patient Appointment Planning JF - PROCEDIA COMPUTER SCIENCE J2 - PROC COMPUTER SCI VL - 219 PY - 2023 SP - 1169 EP - 1176 PG - 8 SN - 1877-0509 DO - 10.1016/j.procs.2023.01.398 UR - https://m2.mtmt.hu/api/publication/33714031 ID - 33714031 LA - English DB - MTMT ER - TY - JOUR AU - Szekér, Szabolcs AU - Fogarassy, György AU - Fogarassyné Vathy, Ágnes TI - A general text mining method to extract echocardiography measurement results from echocardiography documents JF - ARTIFICIAL INTELLIGENCE IN MEDICINE J2 - ARTIF INTELL MED VL - 143 PY - 2023 SN - 0933-3657 DO - 10.1016/j.artmed.2023.102584 UR - https://m2.mtmt.hu/api/publication/33838539 ID - 33838539 LA - English DB - MTMT ER - TY - BOOK ED - Vassányi, István ED - Fogarassyné Vathy, Ágnes TI - Orvosi informatika. A XXXVI. Neumann Kollokvium konferencia-kiadványa PB - Neumann János Számítógép-tudományi Társaság CY - Veszprém PY - 2023 SP - 174 SN - 9789633962725 UR - https://m2.mtmt.hu/api/publication/34449210 ID - 34449210 LA - English DB - MTMT ER - TY - JOUR AU - Knolmajer, Attila AU - Fogarassyné Vathy, Ágnes AU - Fodor, Attila TI - Quaternion Based Solar Irradiance Forecast JF - CHEMICAL ENGINEERING TRANSACTIONS J2 - CHEM ENG TR VL - 94 PY - 2022 SP - 853 EP - 858 PG - 6 SN - 1974-9791 DO - 10.3303/CET2294142 UR - https://m2.mtmt.hu/api/publication/33097325 ID - 33097325 LA - English DB - MTMT ER - TY - CHAP AU - Kontos, János AU - Kránicz, Balázs AU - Fogarassyné Vathy, Ágnes ED - Fazekas, István TI - Neural Network-Based Prediction for Lateral Acceleration of Vehicles T2 - 2022 IEEE 2nd Conference on Information Technology and Data Science (CITDS) PB - Institute of Electrical and Electronics Engineers (IEEE) CY - Piscataway (NJ) SN - 9781665496520 PY - 2022 SP - 153 EP - 158 PG - 6 DO - 10.1109/CITDS54976.2022.9914270 UR - https://m2.mtmt.hu/api/publication/32867387 ID - 32867387 N1 - Export Date: 18 November 2022 LA - English DB - MTMT ER - TY - JOUR AU - Kenessey, István AU - Szőke, Georgina AU - Dobozi, Mária AU - Szatmári, István AU - Wéber, András AU - Fogarassy, György AU - Nagy, Péter AU - Kásler, Miklós AU - Polgár, Csaba AU - Fogarassyné Vathy, Ágnes TI - Comparison of Cancer Survival Trends in Hungary in the Periods 2001–2005 and 2011–2015 According to a Population-Based Cancer Registry JF - PATHOLOGY AND ONCOLOGY RESEARCH J2 - PATHOL ONCOL RES VL - 28 PY - 2022 PG - 10 SN - 1219-4956 DO - 10.3389/pore.2022.1610668 UR - https://m2.mtmt.hu/api/publication/33097331 ID - 33097331 N1 - National Institute of Oncology, Budapest, Hungary National Tumor Laboratory Project, Budapest, Hungary Department of Pathology, Forensic and Insurance Medicine, Semmelweis University, Budapest, Hungary Department of Computer Science and Systems Technology, University of Pannonia, Veszprém, Hungary Cancer Surveillance Section, International Agency for Research on Cancer (IARC/WHO), Lyon, France 1st Department of Cardiology, State Hospital for Cardiology, Balatonfüred, Hungary Department of Anatomy and Histology, University of Veterinary Medicine, Budapest, Hungary Institute of Oncochemistry, University of Debrecen, Debrecen, Hungary Department of Oncology, Semmelweis University, Budapest, Hungary Export Date: 20 June 2023 CODEN: POREF Correspondence Address: Kenessey, I.; National Institute of OncologyHungary; email: steveken12@yahoo.com AB - Background: Assessment of population-based cancer survival may provide the most valuable feedback about the effectiveness of oncological surveillance and treatment. LA - English DB - MTMT ER - TY - CHAP AU - Knolmajer, Attila AU - Fodor, Attila AU - Fogarassyné Vathy, Ágnes TI - A Novel Quaternion-based Method to Calculate Solar Irradiation on a Surface T2 - 2022 IEEE 20th International Power Electronics and Motion Control Conference (PEMC) PB - IEEE CY - [s.l.] SN - 9781665496827 PY - 2022 SP - 516 EP - 521 PG - 6 DO - 10.1109/PEMC51159.2022.9962843 UR - https://m2.mtmt.hu/api/publication/33289508 ID - 33289508 LA - English DB - MTMT ER - TY - JOUR AU - Miseta, Tamás AU - Fodor, Attila AU - Fogarassyné Vathy, Ágnes TI - Energy trading strategy for storage-based renewable power plants JF - ENERGY J2 - ENERGY VL - 250 PY - 2022 SN - 0360-5442 DO - 10.1016/j.energy.2022.123788 UR - https://m2.mtmt.hu/api/publication/32759096 ID - 32759096 LA - English DB - MTMT ER - TY - JOUR AU - Szekér, Szabolcs AU - Fogarassy, György AU - Fogarassyné Vathy, Ágnes TI - A General Text Mining Method to Extract Echocardiography Measurement Results from Echocardiography Documents JF - SOCIAL SCIENCE RESEARCH NETWORK: SSRN J2 - SOC SCI RES NETW (SSRN) VL - 2022 PY - 2022 SN - 1556-5068 DO - 10.2139/ssrn.3999264 UR - https://m2.mtmt.hu/api/publication/33850591 ID - 33850591 LA - English DB - MTMT ER - TY - JOUR AU - Fogarassyné Vathy, Ágnes AU - Vassányi, István AU - Kósa, István TI - Multi-level process mining methodology for exploring disease-specific care processes JF - JOURNAL OF BIOMEDICAL INFORMATICS J2 - J BIOMED INFORM VL - 125 PY - 2022 PG - 13 SN - 1532-0464 DO - 10.1016/j.jbi.2021.103979 UR - https://m2.mtmt.hu/api/publication/32549591 ID - 32549591 LA - English DB - MTMT ER - TY - CHAP AU - Szücs, Veronika AU - Arányi, Gábor AU - Fogarassyné Vathy, Ágnes ED - Bari, Ferenc ED - Rárosi, Ferenc ED - Szűcs, Mónika TI - Security of IT systems in healthcare institutions T2 - Az egészségügyi informatika COVID előtt és COVID után - A XXXV. Neumann Kollokvium konferencia kiadványa PB - Neumann János Számítógép-tudományi Társaság CY - Szeged SN - 9786155036224 PY - 2022 SP - 45 EP - 50 PG - 6 UR - https://m2.mtmt.hu/api/publication/33291614 ID - 33291614 LA - English DB - MTMT ER - TY - JOUR AU - Fogarassy, György AU - Fogarassyné Vathy, Ágnes AU - Kenessey, István AU - Veress, Gábor AU - Polgár, Csaba AU - Forster, Tamás TI - Preventing cancer therapy-related heart failure. the need for novel studies TS - the need for novel studies JF - JOURNAL OF CARDIOVASCULAR MEDICINE J2 - J CARDIOVASC MED VL - 22 PY - 2021 IS - 6 SP - 459 EP - 468 PG - 10 SN - 1558-2027 DO - 10.2459/JCM.0000000000001115 UR - https://m2.mtmt.hu/api/publication/31605639 ID - 31605639 N1 - 1st Department of Cardiology, State Hospital for Cardiology, Balatonfüred Doctoral School of Clinical Medicine, University of Szeged, Szeged, Hungary Department of Computer Science and Systems Technology, University of PannoniaVeszprém, Hungary National Cancer Registry and Biostatistics Centre, National Institute of OncologyBudapest, Hungary State Hospital for Cardiology, Balatonfüred National Institute of Oncology Department of Oncology, Semmelweis UniversityBudapest, Hungary 2nd Department of Internal Medicine and Cardiology Centre, University of Szeged, Szeged, Hungary Export Date: 18 November 2022 AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Hornyák, Lajos AU - Nagy, Zsolt AU - Fogarassyné Vathy, Ágnes AU - Endrei, Dóra AU - Csákvári, Tímea AU - Répásy, Balázs AU - Kresz, Sára AU - Boncz, Imre TI - The long-therm effects of the biolitic procedure for original and biosimilar GCSF and EPO products in Hungary JF - ACTA PHARMACEUTICA HUNGARICA J2 - ACTA PHARM HUNG VL - 91 PY - 2021 IS - 1 SP - 21 EP - 28 PG - 8 SN - 0001-6659 DO - 10.33892/aph.2021.91.21-28 UR - https://m2.mtmt.hu/api/publication/32050649 ID - 32050649 LA - English DB - MTMT ER - TY - CHAP AU - Kontos, János AU - Fogarassyné Vathy, Ágnes AU - Kránicz, Balázs ED - IEEE, , TI - Phase Plane-based Approaches For Event Detection and Plausibility Check of Vehicle Dynamics T2 - 2021 IEEE 25th International Conference on Intelligent Engineering Systems (INES) PB - IEEE CY - New York, New York SN - 9781665444996 PY - 2021 SP - 31 EP - 36 PG - 5 DO - 10.1109/INES52918.2021.9512897 UR - https://m2.mtmt.hu/api/publication/32126217 ID - 32126217 N1 - Export Date: 18 November 2022 AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Kenessey, István AU - Szőke, Georgina AU - Dobozi, Mária AU - Szatmári, István AU - Wéber, András AU - Fogarassy, György AU - Nagy, Péter AU - Kásler, Miklós AU - Polgár, Csaba AU - Fogarassyné Vathy, Ágnes TI - A daganatos betegek túlélési mintázatának összehasonlítása a 2001−2005 és a 2011−2015 közötti időszakban a Nemzeti Rákregiszter adatbázisa alapján JF - MAGYAR ONKOLÓGIA J2 - MAGYAR ONKOLÓGIA VL - 65 PY - 2021 IS - S1 SP - 27 EP - 27 PG - 1 SN - 0025-0244 UR - https://m2.mtmt.hu/api/publication/32499248 ID - 32499248 AB - 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. LA - Hungarian DB - MTMT ER - TY - CONF AU - Süle, Zoltán AU - Baumgartner, János AU - Fogarassyné Vathy, Ágnes ED - Sziklai, Balázs TI - Betegellátási folyamatok optimális ütemezése T2 - XXXIV. Magyar Operációkutatási Konferencia: Absztraktok könyve PB - Gazdaságmodellezési Társaság C1 - Budapest PY - 2021 SP - 61 UR - https://m2.mtmt.hu/api/publication/32176983 ID - 32176983 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Szekér, Szabolcs AU - Fogarassyné Vathy, Ágnes TI - Optimized Weighted Nearest Neighbours Matching Algorithm for Control Group Selection JF - ALGORITHMS J2 - ALGORITHMS VL - 14 PY - 2021 IS - 12 SP - 356 SN - 1999-4893 DO - 10.3390/a14120356 UR - https://m2.mtmt.hu/api/publication/32531974 ID - 32531974 N1 - Export Date: 18 November 2022 Correspondence Address: Vathy-Fogarassy, Á.; Department of Computer Science and Systems Technology, Hungary; email: vathy@dcs.uni-pannon.hu LA - English DB - MTMT ER - TY - BOOK ED - Vassányi, István ED - Fogarassyné Vathy, Ágnes TI - Orvosi informatika. A XXXIV. Neumann Kollokvium konferencia-kiadványa PB - Neumann János Számítógép-tudományi Társaság CY - Veszprém PY - 2021 SN - 9789633962176 UR - https://m2.mtmt.hu/api/publication/32527434 ID - 32527434 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Fogarassy, György AU - Fogarassyné Vathy, Ágnes AU - Kováts, Tamás AU - Hornyák, Lajos AU - Kenessey, István AU - Veress, Gábor AU - Polgár, Csaba AU - Forster, Tamás TI - 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] JF - ORVOSI HETILAP J2 - ORV HETIL VL - 161 PY - 2020 IS - 26 SP - 1094 EP - 1102 PG - 9 SN - 0030-6002 DO - 10.1556/650.2020.31739 UR - https://m2.mtmt.hu/api/publication/31347883 ID - 31347883 N1 - Állami Szívkórház, Balatonfüred, Hungary Szegedi Tudományegyetem, Általános Orvostudományi Kar, Klinikai Orvostudományi Doktori Iskola, Szeged, Hungary Pannon Egyetem, Rendszer- és Számítástudományi Tanszék, Veszprém, Hungary Állami Egészségügyi Ellátó Központ, Budapest, Hungary Csolnoky Ferenc Kórház, Onkológiai Centrum, Veszprém, Hungary Országos Onkológiai Intézet, Nemzeti Rákregiszter és Biostatisztikai Központ, Budapest, Hungary Országos Onkológiai Intézet, Sugárterápiás Központ, Budapest, Hungary Semmelweis Egyetem, Általános Orvostudományi Kar, Onkológiai Tanszék, Budapest, Hungary Szegedi Tudományegyetem, Általános Orvostudományi Kar, II. Belgyógyászati Klinika és Kardiológiai Központ, Szeged, Hungary Cited By :3 Export Date: 18 November 2022 CODEN: ORHEA Correspondence Address: Fogarassy, G.; Balatonfüred, Gyógy tér 2., Hungary LA - Hungarian DB - MTMT ER - TY - JOUR AU - Leitold, Dániel AU - Fogarassyné Vathy, Ágnes AU - Abonyi, János TI - Application to the Analysis of Heat Exchanger Networks JF - SpringerBriefs in Computer Science J2 - SpringerBriefs in Computer Science VL - 2020 PY - 2020 SP - 49 EP - 69 PG - 21 SN - 2191-5768 DO - 10.1007/978-3-030-36472-4_4 UR - https://m2.mtmt.hu/api/publication/31195611 ID - 31195611 N1 - cited By 0 AB - 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 … LA - English DB - MTMT ER - TY - CHAP AU - Leitold, Dániel AU - Fogarassyné Vathy, Ágnes AU - Abonyi, János TI - Summary T2 - Network-Based Analysis of Dynamical Systems PB - Springer Netherlands CY - Cham SN - 9783030364724 T3 - SpringerBriefs in Computer Science, ISSN 2191-5768 PY - 2020 SP - 83 EP - 85 PG - 3 DO - 10.1007/978-3-030-36472-4_6 UR - https://m2.mtmt.hu/api/publication/33718280 ID - 33718280 N1 - Department of Computer Science and Systems Technology, University of Pannonia, Veszprém, Hungary MTA-PE Lendület Complex Systems Monitoring Research Group, University of Pannonia, Veszprém, Hungary Export Date: 27 March 2023; Cited By: 0; Correspondence Address: D. Leitold; Department of Computer Science and Systems Technology, University of Pannonia, Veszprém, Hungary; email: leitold@dcs.uni-pannon.hu AB - 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. LA - English DB - MTMT ER - TY - CHAP AU - Leitold, Dániel AU - Fogarassyné Vathy, Ágnes AU - Abonyi, János TI - Preface T2 - SpringerBriefs in Computer Science PB - Springer Verlag für Sozialwissenschaften T3 - SpringerBriefs in Computer Science, ISSN 2191-5768 PY - 2020 SP - v EP - vi UR - https://m2.mtmt.hu/api/publication/33256214 ID - 33256214 N1 - Department of Computer Science and Systems Technology, University of Pannonia, Veszprém, Hungary MTA-PE Lendület Complex Systems Monitoring Research Group, University of Pannonia, Veszprém, Hungary Export Date: 18 November 2022 LA - English DB - MTMT ER - TY - CHAP AU - Leitold, Dániel AU - Fogarassyné Vathy, Ágnes AU - Abonyi, János TI - Introduction T2 - Network-Based Analysis of Dynamical Systems PB - Springer Netherlands CY - Cham SN - 9783030364724 T3 - SpringerBriefs in Computer Science, ISSN 2191-5768 PY - 2020 SP - 1 EP - 15 PG - 15 DO - 10.1007/978-3-030-36472-4_1 UR - https://m2.mtmt.hu/api/publication/33145888 ID - 33145888 N1 - Department of Computer Science and Systems Technology, University of Pannonia, Veszprém, Hungary MTA-PE Lendület Complex Systems Monitoring Research Group, University of Pannonia, Veszprém, Hungary Export Date: 18 November 2022 Correspondence Address: Leitold, D.; Department of Computer Science and Systems Technology, Hungary; email: leitold@dcs.uni-pannon.hu LA - English DB - MTMT ER - TY - CHAP AU - Leitold, Dániel AU - Fogarassyné Vathy, Ágnes AU - Abonyi, János TI - The NOCAD MATLAB/Octave Toolbox Developed for the Analysis of Dynamical Systems T2 - Network-Based Analysis of Dynamical Systems PB - Springer Netherlands CY - Cham SN - 9783030364724 T3 - SpringerBriefs in Computer Science, ISSN 2191-5768 PY - 2020 SP - 71 EP - 81 PG - 11 DO - 10.1007/978-3-030-36472-4_5 UR - https://m2.mtmt.hu/api/publication/31195681 ID - 31195681 N1 - Department of Computer Science and Systems Technology, University of Pannonia, Veszprém, Hungary MTA-PE Lendület Complex Systems Monitoring Research Group, University of Pannonia, Veszprém, Hungary Export Date: 18 November 2022 Correspondence Address: Leitold, D.; Department of Computer Science and Systems Technology, Hungary; email: leitold@dcs.uni-pannon.hu LA - English DB - MTMT ER - TY - CHAP AU - Leitold, Dániel AU - Fogarassyné Vathy, Ágnes AU - Abonyi, János TI - Reduction of Relative Degree by Optimal Control and Sensor Placement T2 - Network-Based Analysis of Dynamical Systems PB - Springer Netherlands PY - 2020 SP - 27 EP - 48 PG - 22 DO - 10.1007/978-3-030-36472-4_3 UR - https://m2.mtmt.hu/api/publication/31165153 ID - 31165153 N1 - Department of Computer Science and Systems Technology, University of Pannonia, Veszprém, Hungary MTA-PE Lendület Complex Systems Monitoring Research Group, University of Pannonia, Veszprém, Hungary Export Date: 18 November 2022 Correspondence Address: Leitold, D.; Department of Computer Science and Systems Technology, Hungary; email: leitold@dcs.uni-pannon.hu LA - English DB - MTMT ER - TY - CHAP AU - Leitold, Dániel AU - Fogarassyné Vathy, Ágnes AU - Abonyi, János TI - Structural Controllability and Observability Analysis in Complex Networks T2 - Network-Based Analysis of Dynamical Systems PB - Springer Netherlands PY - 2020 SP - 17 EP - 26 PG - 10 DO - 10.1007/978-3-030-36472-4_2 UR - https://m2.mtmt.hu/api/publication/31156805 ID - 31156805 N1 - Department of Computer Science and Systems Technology, University of Pannonia, Veszprém, Hungary MTA-PE Lendület Complex Systems Monitoring Research Group, University of Pannonia, Veszprém, Hungary Cited By :1 Export Date: 18 November 2022 Correspondence Address: Leitold, D.; Department of Computer Science and Systems Technology, Hungary; email: leitold@dcs.uni-pannon.hu LA - English DB - MTMT ER - TY - BOOK AU - Leitold, Dániel AU - Fogarassyné Vathy, Ágnes AU - Abonyi, János TI - Network-Based Analysis of Dynamical Systems T3 - SpringerBriefs in Computer Science, ISSN 2191-5768 PB - Springer Netherlands CY - Cham PY - 2020 SP - 110 SN - 9783030364724 DO - 10.1007/978-3-030-36472-4 UR - https://m2.mtmt.hu/api/publication/31128112 ID - 31128112 LA - English DB - MTMT ER - TY - JOUR AU - Szekér, Szabolcs AU - Fogarassyné Vathy, Ágnes TI - Weighted nearest neighbours-based control group selection method for observational studies JF - PLOS ONE J2 - PLOS ONE VL - 15 PY - 2020 IS - 7 SN - 1932-6203 DO - 10.1371/journal.pone.0236531 UR - https://m2.mtmt.hu/api/publication/31388188 ID - 31388188 N1 - Cited By :3 Export Date: 18 November 2022 CODEN: POLNC Correspondence Address: Szeker, S.; Department of Computer Science and Systems Technology, Hungary; email: vathy@dcs.uni-pannon.hu LA - English DB - MTMT ER - TY - JOUR AU - Fogarassyné Vathy, Ágnes AU - Szekér, Szabolcs AU - Szolár, Balázs AU - Fogarassy, György TI - The Efficiency of Different Distance Metrics for Keyword-Based Search in Medical Documents. A Short Case Study. TS - A Short Case Study. JF - STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS J2 - STUD HEALTH TECHNOL INFORM VL - 271 PY - 2020 SP - 232 EP - 239 PG - 8 SN - 0926-9630 DO - 10.3233/SHTI200101 UR - https://m2.mtmt.hu/api/publication/31360080 ID - 31360080 N1 - WoS:hiba:000719574300035 2022-12-21 18:38 típus nem egyezik AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Süle, Zoltán AU - Baumgartner, János AU - Fogarassyné Vathy, Ágnes TI - Managing Alternative Patient Appointments Using P-Graph Methodology JF - STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS J2 - STUD HEALTH TECHNOL INFORM VL - 271 PY - 2020 SP - 57 EP - 64 PG - 8 SN - 0926-9630 DO - 10.3233/SHTI200074 UR - https://m2.mtmt.hu/api/publication/31361333 ID - 31361333 N1 - WoS:hiba:000719574300008 2022-12-21 18:39 típus nem egyezik AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Leitold, Dániel AU - Fogarassyné Vathy, Ágnes AU - Abonyi, János TI - Empirical working time distribution-based line balancing with integrated simulated annealing and dynamic programming JF - CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH J2 - CEJOR VL - 27 PY - 2019 IS - 2 SP - 455 EP - 473 PG - 19 SN - 1435-246X DO - 10.1007/s10100-018-0570-7 UR - https://m2.mtmt.hu/api/publication/3397276 ID - 3397276 N1 - MTA-PE “Lendület” Complex Systems Monitoring Research Group, Department of Computer Science and Systems Technology, University of Pannonia, Egyetem Str. 10, Veszprem, 8200, Hungary MTA-PE “Lendület” Complex Systems Monitoring Research Group, Department of Process Engineering, University of Pannonia, Egyetem u. 10, Veszprem, 8200, Hungary Cited By :8 Export Date: 18 November 2022 Correspondence Address: Abonyi, J.; MTA-PE “Lendület” Complex Systems Monitoring Research Group, Egyetem u. 10, Hungary; email: janos@abonyilab.com LA - English DB - MTMT ER - TY - JOUR AU - Fogarassy, György AU - Fogarassyné Vathy, Ágnes AU - Kenessey, István AU - Kásler, Miklós AU - Forster, Tamás TI - Risk prediction model for long-term heart failure incidence after epirubicin chemotherapy for breast cancer–A real-world data-based, nationwide classification analysis JF - INTERNATIONAL JOURNAL OF CARDIOLOGY J2 - INT J CARDIOL VL - 285 PY - 2019 SP - 47 EP - 52 PG - 6 SN - 0167-5273 DO - 10.1016/j.ijcard.2019.03.013 UR - https://m2.mtmt.hu/api/publication/30610684 ID - 30610684 N1 - Cited By :12 Export Date: 18 November 2022 CODEN: IJCDD Correspondence Address: Fogarassy, G.; State Hospital for Cardiology, Gyógy tér 2, Hungary; email: fogarassy@mail.bfkor.hu LA - English DB - MTMT ER - TY - CHAP AU - Vassányi, István AU - Gábor, Harmati AU - Kósa, István AU - Szakonyi, Benedek AU - Fogarassyné Vathy, Ágnes ED - Vassányi, István ED - Fogarassyné Vathy, Ágnes TI - ICD-10 coding using improved word affinity methods T2 - Orvosi informatika--A XXXII. Neumann Kollokvium konferencia-kiadványa PB - Neumann János Számítógép-tudományi Társaság CY - Veszprém SN - 9786155036163 PY - 2019 SP - 13 EP - 18 PG - 6 UR - https://m2.mtmt.hu/api/publication/30861048 ID - 30861048 LA - English DB - MTMT ER - TY - JOUR AU - Leitold, Dániel AU - Fogarassyné Vathy, Ágnes AU - Abonyi, János TI - Evaluation of the Complexity, Controllability and Observability of Heat Exchanger Networks Based on Structural Analysis of Network Representations JF - ENERGIES J2 - ENERGIES VL - 12 PY - 2019 IS - 3 SP - 1 EP - 24 PG - 24 SN - 1996-1073 DO - 10.3390/en12030513 UR - https://m2.mtmt.hu/api/publication/30426116 ID - 30426116 N1 - Department of Computer Science and Systems Technology, University of Pannonia, Egyetem u. 10, Veszprém, H-8200, Hungary MTA-PE Lendület Complex Systems Monitoring Research Group, University of Pannonia, Egyetem u. 10., POB. 158, Veszprém, H-8200, Hungary Cited By :13 Export Date: 18 November 2022 Correspondence Address: Abonyi, J.; MTA-PE Lendület Complex Systems Monitoring Research Group, Egyetem u. 10., POB. 158, Hungary; email: janos@abonyilab.com LA - English DB - MTMT ER - TY - JOUR AU - Leitold, Dániel AU - Fogarassyné Vathy, Ágnes AU - Abonyi, János TI - Network-based Observability and Controllability Analysis of Dynamical Systems: the NOCAD toolbox JF - F1000RESEARCH J2 - F1000RESEARCH VL - 8 PY - 2019 SN - 2046-1402 DO - 10.12688/f1000research.19029.2 UR - https://m2.mtmt.hu/api/publication/33719079 ID - 33719079 N1 - Scopus:hiba:85073149008 2022-10-13 12:02 DOI azonosító nem egyezik AB - 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. LA - English DB - MTMT ER - TY - GEN AU - Leitold, Dániel AU - Fogarassyné Vathy, Ágnes AU - Abonyi, János TI - Systematic analysis of heuristic network partitioning algorithms and their applicability in sensor and controller placement. PY - 2019 UR - https://m2.mtmt.hu/api/publication/30708656 ID - 30708656 N1 - konferencia-előadás LA - English DB - MTMT ER - TY - CHAP AU - Miseta, Tamás AU - Fogarassyné Vathy, Ágnes ED - Kovács, Levente ED - Carlos, M. Travieso-González TI - The Effect of the Different Data Aggregation Methods and their Detail Levels to the Prediction of Bitcoin's Exchange Rate T2 - Proceedings of IEEE International Work Conference on Bioinspired Intelligence IWOBI 2019 PB - IEEE CY - Budapest SN - 9781728109671 PY - 2019 SP - 145 EP - 152 PG - 8 DO - 10.1109/IWOBI47054.2019.9114442 UR - https://m2.mtmt.hu/api/publication/31029969 ID - 31029969 N1 - Export Date: 18 November 2022 LA - English DB - MTMT ER - TY - CHAP AU - Szekér, Szabolcs AU - Fogarassyné Vathy, Ágnes ED - Vassányi, István TI - Application of Text Mining Methods on Unstructured Hungarian Echocardiogram Documents T2 - Proceedings of the Pannonian Conference on Advances in Information Technology (PCIT'2019) PB - University of Pannonia, Faculty of Information Technology CY - Veszprém SN - 9789633961278 PY - 2019 SP - 187 EP - 193 PG - 7 UR - https://m2.mtmt.hu/api/publication/30696539 ID - 30696539 AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Szekér, Szabolcs AU - Fogarassy, György AU - Machalik, K AU - Fogarassyné Vathy, Ágnes TI - Application of Named Entity Recognition Methods to Extract Information from Echocardiography Reports. JF - STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS J2 - STUD HEALTH TECHNOL INFORM VL - 260 PY - 2019 SP - 41 EP - 48 PG - 8 SN - 0926-9630 DO - 10.3233/978-1-61499-971-3-41 UR - https://m2.mtmt.hu/api/publication/30695876 ID - 30695876 LA - English DB - MTMT ER - TY - CHAP AU - Szekér, Szabolcs AU - Fogarassyné Vathy, Ágnes ED - Kovács, Levente ED - Carlos, M. Travieso-González TI - How Can the Similarity of the Case and Control Groups be Measured in Case-Control Studies? T2 - Proceedings of IEEE International Work Conference on Bioinspired Intelligence IWOBI 2019 PB - IEEE CY - Budapest SN - 9781728109671 PY - 2019 SP - 33 EP - 40 PG - 8 DO - 10.1109/IWOBI47054.2019.9114390 UR - https://m2.mtmt.hu/api/publication/31029971 ID - 31029971 N1 - Cited By :2 Export Date: 18 November 2022 LA - English DB - MTMT ER - TY - CHAP AU - Szekér, Szabolcs AU - Fogarassyné Vathy, Ágnes ED - Vassányi, István ED - Fogarassyné Vathy, Ágnes TI - Kontrollcsoport kiválasztása súlyozott k-nn módszer alkalmazásával T2 - Orvosi informatika--A XXXII. Neumann Kollokvium konferencia-kiadványa PB - Neumann János Számítógép-tudományi Társaság CY - Veszprém SN - 9786155036163 PY - 2019 SP - 7 EP - 12 PG - 6 UR - https://m2.mtmt.hu/api/publication/30861044 ID - 30861044 LA - Hungarian DB - MTMT ER - TY - GEN AU - Szekér, Szabolcs AU - Fogarassyné Vathy, Ágnes TI - Application of Text Mining Methods on Unstructured Hungarian Echocardiogram Documents PY - 2019 UR - https://m2.mtmt.hu/api/publication/30708628 ID - 30708628 N1 - konferencia-előadás LA - English DB - MTMT ER - TY - BOOK ED - Vassányi, István ED - Fogarassyné Vathy, Ágnes TI - Orvosi informatika--A XXXII. Neumann Kollokvium konferencia-kiadványa PB - Neumann János Számítógép-tudományi Társaság CY - Veszprém PY - 2019 SN - 9786155036163 UR - https://m2.mtmt.hu/api/publication/30859047 ID - 30859047 LA - English DB - MTMT ER - TY - CHAP AU - Leitold, Dániel AU - Fogarassyné Vathy, Ágnes AU - K, Varga AU - Abonyi, János ED - IEEE, null TI - RFID-based task time analysis for shop floor optimization T2 - 2018 IEEE International Conference on Future IoT Technologies, Future IoT 2018 PB - IEEE CY - Piscataway (NJ) SN - 1538612089 PY - 2018 SP - 1 EP - 6 PG - 6 DO - 10.1109/FIOT.2018.8325587 UR - https://m2.mtmt.hu/api/publication/3355577 ID - 3355577 LA - English DB - MTMT ER - TY - CHAP AU - Fogarassyné Vathy, Ágnes AU - Machalik, Károly AU - Vassányi, István AU - Fogarassy, György ED - Bari, Ferenc ED - Rárosi, Ferenc TI - Szövegesen rögzített echokardiográfia leletek numerikus értékeinek strukturálása T2 - Orvosi Informatika 2018. PB - Neumann János Számítógép-tudományi Társaság CY - Szeged SN - 9786155036149 PY - 2018 SP - 20 EP - 25 PG - 6 UR - https://m2.mtmt.hu/api/publication/30337074 ID - 30337074 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Leitold, Dániel AU - Fogarassyné Vathy, Ágnes AU - Abonyi, János TI - Network Distance-Based Simulated Annealing and Fuzzy Clustering for Sensor Placement Ensuring Observability and Minimal Relative Degree JF - SENSORS J2 - SENSORS-BASEL VL - 18 PY - 2018 IS - 9 PG - 15 SN - 1424-8220 DO - 10.3390/s18093096 UR - https://m2.mtmt.hu/api/publication/3417712 ID - 3417712 LA - English DB - MTMT ER - TY - GEN AU - Leitold, Dániel AU - Fogarassyné Vathy, Ágnes AU - Abonyi, János TI - Controllability, observability and robustness improvement of heat exchanger networks PY - 2018 UR - https://m2.mtmt.hu/api/publication/30708665 ID - 30708665 N1 - konferencia-előadás Scopus:hiba:85085037635 2022-10-13 12:02 típus nem egyezik LA - English DB - MTMT ER - TY - JOUR AU - Leitold, Dániel AU - Fogarassyné Vathy, Ágnes AU - Abonyi, János TI - Design-Oriented Structural Controllability and Observability Analysis of Heat Exchanger Networks JF - CHEMICAL ENGINEERING TRANSACTIONS J2 - CHEM ENG TR VL - 70 PY - 2018 SP - 595 EP - 600 PG - 6 SN - 1974-9791 DO - 10.3303/CET1870100 UR - https://m2.mtmt.hu/api/publication/3400188 ID - 3400188 LA - English DB - MTMT ER - TY - CONF AU - Szekér, Szabolcs AU - Fogarassyné Vathy, Ágnes TI - Measuring the similarity of two cohorts in the n-dimensional space T2 - The 11th Conference of PhD Students in Computer Science C1 - Szeged PY - 2018 SP - 151 EP - 154 PG - 4 UR - https://m2.mtmt.hu/api/publication/3390709 ID - 3390709 AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Szekér, Szabolcs AU - Fogarassyné Vathy, Ágnes TI - The Effect of Latent Binary Variables on the Uncertainty of the Prediction of a Dichotomous Outcome Using Logistic Regression Based Propensity Score Matching. JF - STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS J2 - STUD HEALTH TECHNOL INFORM VL - 248 PY - 2018 SP - 1 EP - 8 PG - 8 SN - 0926-9630 DO - 10.3233/978-1-61499-858-7-1 UR - https://m2.mtmt.hu/api/publication/3370002 ID - 3370002 N1 - WoS:hiba:000482607600001 2022-12-21 00:53 típus nem egyezik AB - 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. LA - English DB - MTMT ER - TY - CHAP AU - Szekér, Szabolcs AU - Fogarassyné Vathy, Ágnes ED - Bari, Ferenc ED - Rárosi, Ferenc TI - Látens változók hatása dichotom kimenetű vizsgálatok kiértékelésére T2 - Orvosi Informatika 2018. PB - Neumann János Számítógép-tudományi Társaság CY - Szeged SN - 9786155036149 PY - 2018 SP - 37 EP - 42 PG - 6 UR - https://m2.mtmt.hu/api/publication/30338542 ID - 30338542 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Leitold, Dániel AU - Fogarassyné Vathy, Ágnes AU - Abonyi, János TI - Controllability and observability in complex networks – the effect of connection types JF - SCIENTIFIC REPORTS J2 - SCI REP VL - 7 PY - 2017 PG - 9 SN - 2045-2322 DO - 10.1038/s41598-017-00160-5 UR - https://m2.mtmt.hu/api/publication/3199799 ID - 3199799 LA - English DB - MTMT ER - TY - JOUR AU - Fogarassy, György AU - Fogarassyné Vathy, Ágnes AU - Hornyák, Lajos AU - Forster, Tamás TI - Risk factors for heart failure after doxorubicin chemotherapy for breast- or colorectal cancer JF - EUROPEAN HEART JOURNAL J2 - EUR HEART J VL - 38 PY - 2017 SP - 406 EP - 406 PG - 1 SN - 0195-668X DO - 10.1093/eurheartj/ehx502.1958 UR - https://m2.mtmt.hu/api/publication/3266548 ID - 3266548 N1 - Suppl.1, Meeting Abstrakt:1958 LA - English DB - MTMT ER - TY - JOUR AU - Fogarassy, György AU - Fogarassyné Vathy, Ágnes AU - Hornyák, Lajos AU - Forster, Tamás TI - 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 JF - CARDIOLOGIA HUNGARICA J2 - CARDIOL HUNG VL - 47 PY - 2017 IS - Supplementum C SP - C104 EP - C104 PG - 1 SN - 0133-5596 UR - https://m2.mtmt.hu/api/publication/3254571 ID - 3254571 LA - English DB - MTMT ER - TY - JOUR AU - Fogarassy, György AU - Fogarassyné Vathy, Ágnes AU - Hornyák, Lajos AU - Forster, Tamás TI - Risk factors for heart failure after epirubicin chemotherapy for breast or colorectal cancer JF - EUROPEAN JOURNAL OF HEART FAILURE J2 - EUR J HEART FAIL VL - 19 PY - 2017 IS - Suppl. 1 SP - 445 EP - 445 PG - 1 SN - 1388-9842 UR - https://m2.mtmt.hu/api/publication/3254574 ID - 3254574 LA - English DB - MTMT ER - TY - CHAP AU - Vassányi, István AU - Ahmed Hama Karim, Rebaz AU - Hornyák, Lajos AU - Fogarassyné Vathy, Ágnes ED - Szakál, Anikó TI - Oncological care process characteristics in Hungary: a longitudinal study T2 - 2017 IEEE 30TH NEUMANN COLLOQUIUM (NC) PB - Óbudai Egyetem CY - Budapest SN - 9781538646359 PY - 2017 SP - 89 EP - 92 PG - 4 DO - 10.1109/NC.2017.8263258 UR - https://m2.mtmt.hu/api/publication/3295610 ID - 3295610 N1 - WoS:hiba:000425847900018 2022-12-20 23:13 befoglaló első szerző nem egyezik LA - English DB - MTMT ER - TY - CHAP AU - Krisztina, Tóth AU - Károly, Machalik AU - Fogarassy, György AU - Fogarassyné Vathy, Ágnes ED - Szakál, Anikó TI - Applicability of Process Mining in the Exploration of Healthcare Sequences T2 - 2017 IEEE 30TH NEUMANN COLLOQUIUM (NC) PB - Óbudai Egyetem CY - Budapest SN - 9781538646359 PY - 2017 SP - 151 EP - 155 PG - 5 DO - 10.1109/NC.2017.8263273 UR - https://m2.mtmt.hu/api/publication/3297656 ID - 3297656 LA - English DB - MTMT ER - TY - JOUR AU - Szekér, Szabolcs AU - Fogarassy, György AU - Fogarassyné Vathy, Ágnes TI - Comparison of Control Group Generating Methods. JF - STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS J2 - STUD HEALTH TECHNOL INFORM VL - 236 PY - 2017 SP - 311 EP - 318 PG - 8 SN - 0926-9630 DO - 10.3233/978-1-61499-759-7-311 UR - https://m2.mtmt.hu/api/publication/3229725 ID - 3229725 N1 - WoS:hiba:000426828000041 2022-12-20 22:18 típus nem egyezik AB - 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. LA - English DB - MTMT ER - TY - CHAP AU - Szekér, Szabolcs AU - Fogarassyné Vathy, Ágnes ED - Fülöp, Attila ED - Iványi, Péter TI - Novel k Nearest Neighbour-based Control Group Selection Methods T2 - 13th Miklós Iványi International PhD & DLA Symposium - Abstract Book : Architectural, Engineering and Information Sciences PB - Pollack Press CY - Pécs SN - 9789636427801 PY - 2017 SP - 124 UR - https://m2.mtmt.hu/api/publication/3344290 ID - 3344290 LA - English DB - MTMT ER - TY - JOUR AU - Toth, K AU - Kósa, István AU - Fogarassyné Vathy, Ágnes TI - Frequent Treatment Sequence Mining from Medical Databases. JF - STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS J2 - STUD HEALTH TECHNOL INFORM VL - 236 PY - 2017 SP - 211 EP - 218 PG - 8 SN - 0926-9630 DO - 10.3233/978-1-61499-759-7-211 UR - https://m2.mtmt.hu/api/publication/3229724 ID - 3229724 N1 - WoS:hiba:000426828000027 2022-12-20 22:18 típus nem egyezik AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Fogarassyné Vathy, Ágnes AU - Hugyák, Tamás TI - Uniform data access platform for SQL and NoSQL database systems JF - INFORMATION SYSTEMS J2 - INFORM SYST VL - 69 PY - 2017 SP - 93 EP - 105 PG - 13 SN - 0306-4379 DO - 10.1016/j.is.2017.04.002 UR - https://m2.mtmt.hu/api/publication/3220181 ID - 3220181 LA - English DB - MTMT ER - TY - JOUR AU - András, Király AU - Fogarassyné Vathy, Ágnes AU - Abonyi, János TI - Geodesic distance based fuzzy c-medoid clustering – searching for central points in graphs and high dimensional data JF - FUZZY SETS AND SYSTEMS J2 - FUZZY SET SYST VL - 286 PY - 2016 SP - 157 EP - 172 PG - 16 SN - 0165-0114 DO - 10.1016/j.fss.2015.06.022 UR - https://m2.mtmt.hu/api/publication/2972636 ID - 2972636 N1 - WoS:hiba:000367233300007 2020-08-30 18:26 DOI azonosító nem egyezik LA - English DB - MTMT ER - TY - CONF AU - Leitold, Dániel AU - Fogarassyné Vathy, Ágnes AU - János, Abonyi ED - Faculty, of Information Technology and Bionics Pázmány Péter Catholic University TI - Process mining based analysis of changeover times - an integrated approach to support line balancing T2 - VOCAL 2016 PY - 2016 SP - 42 EP - 43 PG - 2 UR - https://m2.mtmt.hu/api/publication/3159100 ID - 3159100 LA - English DB - MTMT ER - TY - CHAP AU - Leitold, Dániel AU - Fogarassyné Vathy, Ágnes AU - Süle, Zoltán AU - Manchin, Róbert AU - Abonyi, János ED - [sn], null TI - MEASURING SUSTAINABILITY – NETWORK SCIENCE BASED ANALYSIS OF WATER RESOURCES MODELS T2 - 17th EDSI Conference PB - Aalto University School of Business Department of Information and Service Economy CY - Helsinki SN - 9789526011028 PY - 2016 SP - 189 EP - 203 PG - 15 UR - https://m2.mtmt.hu/api/publication/3072621 ID - 3072621 LA - English DB - MTMT ER - TY - JOUR AU - Fogarassyné Vathy, Ágnes AU - Machalik, Károly AU - Vassányi, István AU - Kósa, István TI - A betegek anonimitásának biztosítása a földrajzi elhelyezkedésre kiterjedő egészségügyi adatelemzések során JF - IME J2 - IME VL - 15 PY - 2016 IS - 1 SP - 46 EP - 50 PG - 5 SN - 1588-6387 UR - https://m2.mtmt.hu/api/publication/3023273 ID - 3023273 N1 - ISSN 1588-6387 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Fogarassy, György AU - Fogarassyné Vathy, Ágnes AU - Hornyák, Lajos AU - Kósa, István TI - 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 TS - Analysis of chemotherapy related cardiac adverse events in breast and colorectal cancer patients based on national health insurance database JF - CARDIOLOGIA HUNGARICA J2 - CARDIOL HUNG VL - 46 PY - 2016 SP - 102 EP - 103 PG - 2 SN - 0133-5596 UR - https://m2.mtmt.hu/api/publication/3060955 ID - 3060955 LA - English DB - MTMT ER - TY - CHAP AU - Machalik, Károly AU - Fogarassyné Vathy, Ágnes ED - Bari, Ferenc ED - Almási, László TI - Betegségek kapcsolatrendszerének hálózatai T2 - Orvosi Informatika 2016. A XXIX. Neumann Kollokvium konferencia-kiadványa PB - Neumann János Számítógép-tudományi Társaság CY - Szeged SN - 9789633065143 PY - 2016 SP - 11 EP - 15 PG - 5 UR - https://m2.mtmt.hu/api/publication/3158722 ID - 3158722 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Pigler, Csaba AU - Fogarassyné Vathy, Ágnes AU - Abonyi, János TI - Scalable co-Clustering using a Crossing Minimization - Application to Production Flow Analysis JF - ACTA POLYTECHNICA HUNGARICA J2 - ACTA POLYTECH HUNG VL - 13 PY - 2016 IS - 2 SP - 209 EP - 228 PG - 20 SN - 1785-8860 DO - 10.12700/APH.13.2.2016.2.12 UR - https://m2.mtmt.hu/api/publication/3030873 ID - 3030873 LA - English DB - MTMT ER - TY - CHAP AU - Szekér, Szabolcs AU - Fogarassyné Vathy, Ágnes ED - Bari, Ferenc ED - Almási, László TI - Kontrollcsoport-generálási lehetőségek retrospektív egészségügyi vizsgálatokhoz T2 - Orvosi Informatika 2016. A XXIX. Neumann Kollokvium konferencia-kiadványa PB - Neumann János Számítógép-tudományi Társaság CY - Szeged SN - 9789633065143 PY - 2016 SP - 135 EP - 139 PG - 5 UR - https://m2.mtmt.hu/api/publication/3158711 ID - 3158711 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Tóth, Krisztina AU - Kósa, István AU - Fogarassyné Vathy, Ágnes ED - Bari, Ferenc ED - Almási, László TI - Onkológiai ellátási eseménysorok automatikus generálása az egészségügyi finanszírozási adatbázis adatai alapján T2 - Orvosi Informatika 2016. A XXIX. Neumann Kollokvium konferencia-kiadványa PB - Neumann János Számítógép-tudományi Társaság CY - Szeged SN - 9789633065143 PY - 2016 SP - 5 EP - 10 PG - 6 UR - https://m2.mtmt.hu/api/publication/3158719 ID - 3158719 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Fogarassyné Vathy, Ágnes AU - Cs, Pigler AU - Leitold, Dániel AU - Süle, Zoltán ED - Vastag, Gyula TI - Detecting Community Structures Based on Neighborhood Relations T2 - Research in the Decision Sciences for Global Business PB - Pearson Education Limited CY - Upper Saddle River (NJ) SN - 9780134052328 PY - 2015 SP - 201 EP - 218 PG - 18 UR - https://m2.mtmt.hu/api/publication/2851718 ID - 2851718 LA - English DB - MTMT ER - TY - CHAP AU - Fogarassyné Vathy, Ágnes AU - Szekér, Szabolcs AU - Hornyák, Lajos ED - Kósa, István ED - Vassányi, István TI - A biológiai terápiás kezelések hatékonyságának elemzési módszertana az egészségügyi finanszírozási adatbázisokban T2 - Új alapokon az egészségügyi informatika PB - Neumann János Számítógép-tudományi Társaság CY - Veszprém SN - 9786155036101 PY - 2015 SP - 11 EP - 16 PG - 6 UR - https://m2.mtmt.hu/api/publication/3001543 ID - 3001543 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Hornyák, Lajos AU - Kocsis, Roland AU - Fogarassyné Vathy, Ágnes TI - Biológiai terápiás eredmények, adatok a Csolnoky Ferenc Kórház Onkológiai Osztályán az országos eredmények tükrében JF - MAGYAR ONKOLÓGIA J2 - MAGYAR ONKOLÓGIA VL - 59 PY - 2015 IS - Supp 1 SP - 24 EP - 24 PG - 1 SN - 0025-0244 UR - https://m2.mtmt.hu/api/publication/3158921 ID - 3158921 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Csaba, Pigler AU - Fogarassyné Vathy, Ágnes AU - Janos, Abonyi ED - Piglerné, Lakner Rozália TI - Manufacturing cell formation by crossing minimization based co-clustering T2 - ASCONIKK 2014: Extended abstracts I. Information Technologies for Logistic Systems PB - University of Pannonia CY - Veszprém SN - 9789633960462 PY - 2014 SP - 30 EP - 36 UR - https://m2.mtmt.hu/api/publication/2841471 ID - 2841471 LA - English DB - MTMT ER - TY - CHAP AU - Leitold, Dániel AU - Fogarassyné Vathy, Ágnes AU - Janos, Abonyi ED - Piglerné, Lakner Rozália TI - Observability and controllability based reliability analysis of complex networks and dynamical systems. The COND MATLAB toolbox TS - The COND MATLAB toolbox T2 - ASCONIKK 2014: Extended Abstracts PB - University of Pannonia CY - Veszprém SN - 9789633960493 PY - 2014 SP - 41 EP - 48 PG - 8 UR - https://m2.mtmt.hu/api/publication/2841422 ID - 2841422 LA - English DB - MTMT ER - TY - CHAP AU - Király, András AU - Fogarassyné Vathy, Ágnes AU - Abonyi, János ED - Rutkowski, Leszek ED - Korytkowski, Marcin ED - Scherer, Rafał ED - Tadeusiewicz, Ryszard ED - Zadeh, LotfiA ED - Zurada, JacekM TI - Fuzzy c-Medoid Graph Clustering T2 - Artificial Intelligence and Soft Computing PB - Springer Netherlands CY - Cham SN - 9783319071763 T3 - Lecture Notes in Computer Science, ISSN 0302-9743 ; 8468. PY - 2014 SP - 738 EP - 748 PG - 11 DO - 10.1007/978-3-319-07176-3_64 UR - https://m2.mtmt.hu/api/publication/2597395 ID - 2597395 LA - English DB - MTMT ER - TY - BOOK AU - Fogarassyné Vathy, Ágnes AU - Abonyi, János TI - Graph-Based Clustering and Data Visualization Algorithms T3 - Springer Briefs in Computer Science ET - 0 PB - Springer-Verlag Wien CY - London PY - 2013 SP - 121 SN - 9781447151579 DO - 10.1007/978-1-4471-5158-6 UR - https://m2.mtmt.hu/api/publication/2279379 ID - 2279379 N1 - http://link.springer.com/content/pdf/bfm%3A978-1-4471-5158- 6%2F1.pdf ISBN 978-1-4471-5158-6 (eBook) ISSN 2191-5776 (electronic) DOI 10.1007/978-1-4471-5158-6 Springer London Heidelberg New York Dordrecht LA - English DB - MTMT ER - TY - JOUR AU - Fogarassy, György AU - Apró, D. AU - Fogarassyné Vathy, Ágnes AU - Thury, Attila TI - Egy új kobalt-króm koronária stent hatékonyságának és biztonságosságának vizsgálata a hazai regiszter eredményeinek alapján JF - CARDIOLOGIA HUNGARICA J2 - CARDIOL HUNG VL - 43 PY - 2013 SP - B40 EP - B40 SN - 0133-5596 UR - https://m2.mtmt.hu/api/publication/31256419 ID - 31256419 LA - English DB - MTMT ER - TY - CONF AU - Süle, Zoltán AU - Leitold, Dániel AU - Cs, Pigler AU - Fogarassyné Vathy, Ágnes ED - Tarczali, Tünde TI - A novel locality-based clustering method of undirected, unweighted networks T2 - 4th Annual Conference of the European Decision Sciences Institute (EDSI) PY - 2013 PG - 10 DO - 10.5281/ZENODO.3911241 UR - https://m2.mtmt.hu/api/publication/2519502 ID - 2519502 LA - English DB - MTMT ER - TY - JOUR AU - Apró, D. AU - Fogarassy, György AU - Faluközy, J. AU - Bujáky, C. AU - Kovács, E. AU - Fogarassyné Vathy, Ágnes AU - Kelemen, B. AU - Veress, G. TI - Primer PCI során implantált embólia protektív MGuard-stent alkalmazásának hat hónapos klinikai és angiográfiás utánkövetése JF - CARDIOLOGIA HUNGARICA J2 - CARDIOL HUNG VL - 42 PY - 2012 SP - A7 EP - A7 SN - 0133-5596 UR - https://m2.mtmt.hu/api/publication/31256406 ID - 31256406 LA - English DB - MTMT ER - TY - JOUR AU - Fogarassy, György AU - Apró, D. AU - Faluközy, J. AU - Bujáky, C. AU - Fogarassyné Vathy, Ágnes AU - Kovács, E. AU - Veress, G. TI - Bifurkációs koszorúér-szűkületek crush stenteléssel történő intervencióját követő hosszú távú kimenetel saját regiszterünk alapján JF - CARDIOLOGIA HUNGARICA J2 - CARDIOL HUNG VL - 42 PY - 2012 SP - A76 EP - A76 SN - 0133-5596 UR - https://m2.mtmt.hu/api/publication/31256408 ID - 31256408 LA - English DB - MTMT ER - TY - JOUR AU - Fogarassy, György AU - Kovács, E AU - Faluközy, J AU - Stef, Gy AU - Fogarassyné Vathy, Ágnes AU - Bujáky, Cs AU - Apró, D AU - Veress, G TI - Különböző generikus klopidogrél készítmények trombocitaaggregáció-gátló hatásának vizsgálata és összehasonlítása az originális klopidogréllel koronária-intervención átesett betegeknél (AGGREGO vizsgálat) JF - CARDIOLOGIA HUNGARICA J2 - CARDIOL HUNG VL - 41 PY - 2011 SP - F92 SN - 0133-5596 UR - https://m2.mtmt.hu/api/publication/1825605 ID - 1825605 LA - English DB - MTMT ER - TY - BOOK AU - Fogarassyné Vathy, Ágnes AU - Starkné Werner, Ágnes TI - Intelligens adatelemzés PB - Typotex Kiadó CY - Budapest PY - 2011 SP - 86 SN - 9789632795263 UR - https://m2.mtmt.hu/api/publication/1802544 ID - 1802544 LA - Hungarian DB - MTMT ER - TY - THES AU - Fogarassyné Vathy, Ágnes TI - Novel graph based clustering and visualization algorithms for data mining PY - 2009 SP - 135 UR - https://m2.mtmt.hu/api/publication/1758988 ID - 1758988 LA - English DB - MTMT ER - TY - JOUR AU - Fogarassyné Vathy, Ágnes AU - Abonyi, János TI - Local and global mappings of topology representing networks JF - INFORMATION SCIENCES J2 - INFORM SCIENCES VL - 179 PY - 2009 IS - 21 SP - 3791 EP - 3803 PG - 13 SN - 0020-0255 DO - 10.1016/j.ins.2009.07.001 UR - https://m2.mtmt.hu/api/publication/1276909 ID - 1276909 N1 - UR: http://www.scopus.com/inward/record.url?eid=2-s2.0- 68349141530&partnerID=40 LA - English DB - MTMT ER - TY - CHAP AU - Starkné Werner, Ágnes AU - Fogarassyné Vathy, Ágnes AU - Gál, B ED - Pethő, Attila ED - Herdon, Miklós TI - Kooperatív módszerek felhasználása az egyetemi oktatásban egy konkrét tantárgyhoz kapcsolódóan [THE APPLICATION OF COOPERATIVE METHODS IN UNIVERSITY EDUCATION CONNECTED TO A PARTICULAR SUBJECT] T2 - Informatika a felsőoktatásban 2008 PB - Debreceni Universitas Kht CY - Debrecen SN - 9789634731290 PY - 2008 PG - 8 UR - https://m2.mtmt.hu/api/publication/1802204 ID - 1802204 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Starkné Werner, Ágnes AU - Fogarassyné Vathy, Ágnes TI - A számítógépes szimulációk szerepe a kémia oktatásában JF - A KÉMIA TANÍTÁSA: MÓDSZERTANI FOLYÓIRAT J2 - A KÉMIA TANÍTÁSA VL - 16 PY - 2008 IS - 5 SP - 17 EP - 21 PG - 5 SN - 1216-7576 UR - https://m2.mtmt.hu/api/publication/1751237 ID - 1751237 N1 - MatarkaID=689431 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Fogarassyné Vathy, Ágnes AU - Kiss, Attila AU - Abonyi, János TI - Topology Representing Network Map – A New Tool for Visualization of High-Dimensional Data JF - LECTURE NOTES IN COMPUTER SCIENCE J2 - LECT NOTES COMPUT SC VL - 4750 PY - 2008 SP - 61 EP - 84 PG - 24 SN - 0302-9743 DO - 10.1007/978-3-540-79299-4_3 UR - https://m2.mtmt.hu/api/publication/1340601 ID - 1340601 AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Fogarassyné Vathy, Ágnes AU - Starkné Werner, Ágnes AU - Abonyi, János TI - Topology representing networks for the visualization of manifolds JF - JOURNAL OF MATHEMATICAL MODELLING AND ALGORITHMS J2 - J MATH MODEL ALGORITHMS VL - 7 PY - 2008 IS - 4 SP - 351 EP - 370 PG - 20 SN - 1570-1166 DO - 10.1007/s10852-008-9092-y UR - https://m2.mtmt.hu/api/publication/1276910 ID - 1276910 N1 - UR: http://www.scopus.com/inward/record.url?eid=2-s2.0- 57849106737&partnerID=40 Megjegyzés-20820945 UR: http://www.scopus.com/inward/record.url?eid=2-s2.0-57849106737&partnerID=40 LA - English DB - MTMT ER - TY - CHAP AU - Starkné Werner, Ágnes AU - Fogarassyné Vathy, Ágnes AU - Gál, B ED - Joseph, Luca ED - Edgar, R Weippl TI - Virtual Reality Simulations in the Education of Mathematics and Physics T2 - Proceedings of ED-MEDIA 2008 World Conference on Educational Multimedia, Hypermedia & Telecommunications PB - Association for the Advancement of Computing in Education (AACE) CY - Vienna SN - 1880094657 PY - 2008 SP - 5478 EP - 5483 PG - 6 UR - https://m2.mtmt.hu/api/publication/1763228 ID - 1763228 LA - English DB - MTMT ER - TY - CONF AU - Starkné Werner, Ágnes AU - Fogarassyné Vathy, Ágnes ED - Nagy, Attila TI - Genetikus algoritmusok tárgy oktatása MATLAB segítségével T2 - Felsőoktatási Matematika-, Fizika- és Számítástechnika Oktatók XXXI. Konferenciája PB - Dunaújvárosi Főiskola (DF) C1 - Dunaújváros PY - 2007 SP - 288 EP - 296 PG - 9 UR - https://m2.mtmt.hu/api/publication/1777866 ID - 1777866 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Fogarassyné Vathy, Ágnes AU - Kiss, Attila AU - Abonyi, János ED - Masulli, F ED - Mitra, S ED - Pasi, G TI - Improvement of Jarvis-Patrick clustering based on fuzzy similarity T2 - Applications of Fuzzy Sets Theory PB - Springer Netherlands CY - Berlin CY - Heidelberg SN - 9783540734000 T3 - Lecture Notes in Computer Science, ISSN 0302-9743 ; 4578. PY - 2007 SP - 195 EP - 202 PG - 8 DO - 10.1007/978-3-540-73400-0_24 UR - https://m2.mtmt.hu/api/publication/1342147 ID - 1342147 N1 - UR: http://www.scopus.com/inward/record.url?eid=2-s2.0- 37249003797&partnerID=40 LA - English DB - MTMT ER - TY - CHAP AU - Fogarassyné Vathy, Ágnes AU - Starkné Werner, Ágnes AU - Gal, B AU - Abonyi, János ED - Yin, H ED - Tino, P ED - Corchado, E ED - Byrne, W ED - Yao, X TI - Visualization of topology representing networks T2 - Intelligent Data Engineering and Automated Learning - IDEAL 2007 PB - Springer Netherlands CY - Berlin CY - Heidelberg SN - 9783540772262 T3 - Lecture Notes in Computer Science, ISSN 0302-9743 ; 4881. PY - 2007 SP - 557 EP - 566 PG - 10 DO - 10.1007/978-3-540-77226-2_57 UR - https://m2.mtmt.hu/api/publication/1141268 ID - 1141268 AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Fogarassyné Vathy, Ágnes AU - Feil, B AU - Abonyi, János TI - Minimal Spanning Tree based Fuzzy Clustering JF - WORLD ACADEMY OF SCIENCE ENGINEERING AND TECHNOLOGY J2 - WASET VL - 1 PY - 2007 IS - 8 SP - 7 EP - 12 PG - 6 SN - 1307-6892 UR - https://m2.mtmt.hu/api/publication/1141257 ID - 1141257 N1 - WoS:hiba:000259631600002 2022-12-20 12:42 típus nem egyezik, év nem egyezik AB - 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. LA - English DB - MTMT ER - TY - CHAP AU - Starkné Werner, Ágnes AU - Fogarassyné Vathy, Ágnes ED - Abbott, Chris ED - Lustigova, Zdena TI - Virtual reality in the teaching of mathematics and physics T2 - iTET 2007: Proceedings of the Joint Working Conference PB - ETIC Prague CY - Prague SN - 9788025403914 PY - 2007 SP - 194 EP - 203 PG - 10 UR - https://m2.mtmt.hu/api/publication/1763208 ID - 1763208 N1 - Computing in Education (AACE) Computing in Education (AACE) #Könyv Kiadó nem található: ETIC Prague LA - English DB - MTMT ER - TY - JOUR AU - Starkné Werner, Ágnes AU - Fogarassyné Vathy, Ágnes AU - Csoma, Ádám TI - Szakértő szoftverágens a diszlexia lehetőségének megállapítására JF - ACTA AGRARIA KAPOSVÁRIENSIS J2 - ACTA AGRARIA KAPOSV VL - 10 PY - 2006 IS - 1 SP - 65 EP - 82 PG - 18 SN - 1418-1789 UR - https://m2.mtmt.hu/api/publication/1030734 ID - 1030734 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Fogarassyné Vathy, Ágnes TI - Csoportosítás (klaszterezés) T2 - Adatbányászat PB - ComputerBooks Kiadó CY - Budapest SN - 9789636183424 PY - 2006 SP - 131 EP - 184 PG - 54 UR - https://m2.mtmt.hu/api/publication/1758992 ID - 1758992 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Vassányi, István AU - Fogarassyné Vathy, Ágnes AU - Tobak, Tamás AU - Rovnyai, János TI - Adatbányászati alkalmazások az egészségügyben JF - IME J2 - IME VL - 5 PY - 2006 IS - 5 SP - 49 EP - 53 PG - 5 SN - 1588-6387 UR - https://m2.mtmt.hu/api/publication/1881782 ID - 1881782 N1 - MatarkaID=352890 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Fogarassyné Vathy, Ágnes AU - Kiss, Attila AU - Abonyi, János TI - Hybrid minimal spanning tree and mixture of gaussians based clustering algorithm JF - LECTURE NOTES IN COMPUTER SCIENCE J2 - LECT NOTES COMPUT SC VL - 3861 PY - 2006 SP - 313 EP - 330 PG - 18 SN - 0302-9743 DO - 10.1007/11663881_18 UR - https://m2.mtmt.hu/api/publication/1141262 ID - 1141262 AB - 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. LA - English DB - MTMT ER - TY - CHAP AU - Fogarassyné Vathy, Ágnes AU - G, Balázs AU - T, Tobak AU - Vassányi, István ED - Tadeusz, Morzy ED - Mikołaj, Morzy ED - Marek, Wojciechowski TI - Intelligent Data Analysis Center: A Client/Server Mining Model over the Internet T2 - Proceedings of 1st ADBIS Workshop on Data Mining and Knowledge Discovery PB - Poznan University of Technology CY - Poznan SN - 9788371433627 PY - 2005 SP - 57 EP - 65 PG - 9 UR - https://m2.mtmt.hu/api/publication/1758616 ID - 1758616 LA - English DB - MTMT ER - TY - JOUR AU - Fogarassyné Vathy, Ágnes AU - Vassányi, István TI - Adatbányászati technológiák az egészségügyben JF - IME J2 - IME VL - 4 PY - 2005 IS - 3 SP - 46 EP - 51 PG - 6 SN - 1588-6387 UR - https://m2.mtmt.hu/api/publication/1881783 ID - 1881783 N1 - MatarkaID=202756 LA - Hungarian DB - MTMT ER - TY - CONF AU - Fogarassyné Vathy, Ágnes AU - Pataricza, András TI - Intelligens adatelemző központ létrehozása T2 - XXIII. Centenáriumi Neumann Kollokvium elektronikus kiadványa PY - 2004 UR - https://m2.mtmt.hu/api/publication/1758957 ID - 1758957 N1 - Cikk száma a konferencián vagy Kezdő oldal ismeretlen LA - Hungarian DB - MTMT ER - TY - CONF AU - Fogarassyné Vathy, Ágnes ED - Lajos, Csőke ED - Olajos, Péter ED - Péter, Szigetváry ED - Tibor, Tómács TI - Application of Data Mining Methods in Health Care Databases T2 - Proceedings of the 6th international conference on applied informatics (ICAI 2004) PB - Eszterházy Károly Tanárképző Főiskola (EKTF) C1 - Eger PY - 2004 SP - 261 EP - 266 PG - 6 UR - https://m2.mtmt.hu/api/publication/1758699 ID - 1758699 LA - English DB - MTMT ER - TY - BOOK AU - Jiawei, Han AU - Micheline, Kamber ED - Buza, Antal / Translator ED - Fogarassyné Vathy, Ágnes / Translator ED - Hernáth, Szabolcs / Translator ED - Hernáth, Zsolt / Translator ED - Kósa, Balázs / Translator ED - Limbek, Rebeka / Translator ED - Malicskó, László Gábor / Translator ED - Nikovits, Tibor / Translator ED - Szekér, István / Translator ED - Vincellér, Zoltán / Translator TI - Adatbányászat. Koncepciók és technikák TS - Koncepciók és technikák ET - 0 PB - Panem Kiadó CY - Budapest PY - 2004 SN - 9635453949 UR - https://m2.mtmt.hu/api/publication/2904232 ID - 2904232 N1 - Mű eredeti címe: Data Mining LA - Hungarian DB - MTMT ER - TY - JOUR AU - Fogarassyné Vathy, Ágnes AU - Fogarassy, György TI - Egészségügyi adatok előkészítése elemzések céljából JF - IME J2 - IME VL - 2003 PY - 2003 IS - 8 SP - 36 EP - 41 PG - 6 SN - 1588-6387 UR - https://m2.mtmt.hu/api/publication/1758687 ID - 1758687 LA - Hungarian DB - MTMT ER - TY - CONF AU - Fogarassyné Vathy, Ágnes AU - Kiss, Attila ED - Kovács, E ED - Winkler, Z TI - Database Security – Access Rights from Design to Implementation T2 - Proceedings of the 5th International Conference on Applied Informatics PB - Molnár és Társa 2001 Kft. C1 - Eger PY - 2002 SP - 85 EP - 94 PG - 10 UR - https://m2.mtmt.hu/api/publication/1758981 ID - 1758981 LA - English DB - MTMT ER - TY - CHAP AU - Fogarassyné Vathy, Ágnes ED - Arató, Péter ED - Herdon, Miklós TI - Adatbázisok biztonságának tervezési módszere és megvalósítási kérdései T2 - Informatika a felsőoktatásban 2002 PB - Debreceni Egyetem CY - Debrecen SN - 9634726917 PY - 2002 SP - 190 UR - https://m2.mtmt.hu/api/publication/1758978 ID - 1758978 N1 - Cikk száma a konferencián vagy Kezdő oldal ismeretlen LA - English DB - MTMT ER - TY - CHAP AU - Timár, Lajos AU - Fogarassyné Vathy, Ágnes ED - Csirik, János ED - Herdon, Miklós TI - A jó minőségű EER modell helye az adatbázis-tervezésben T2 - Informatika a felsőoktatásban ’99 konferencia PB - Debreceni Egyetemi Szövetség CY - Debrecen SN - 9630383187 PY - 1999 SP - 86 EP - 91 PG - 6 UR - https://m2.mtmt.hu/api/publication/1758985 ID - 1758985 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Fogarassyné Vathy, Ágnes AU - Timár, Lajos ED - Csirik, János ED - Herdon, Miklós TI - Az EER modell koncepcióinak érvényesülése egy relációs adatbázis-rendszerben T2 - Informatika a felsőoktatásban ’99 konferencia PB - Debreceni Egyetemi Szövetség CY - Debrecen SN - 9630383187 PY - 1999 SP - 92 EP - 97 PG - 6 UR - https://m2.mtmt.hu/api/publication/1758983 ID - 1758983 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Fogarassyné Vathy, Ágnes ED - Timár, L ED - Vigh, Krisztina ED - Fogarassyné Vathy, Ágnes ED - Telekesi, Éva TI - Egyed-kapcsolat modell (ER modell) T2 - Építsünk könnyen és lassan adatmodellt! PB - Pannon Egyetem CY - Veszprém PY - 1996 SP - 23 EP - 45 PG - 23 UR - https://m2.mtmt.hu/api/publication/31927646 ID - 31927646 LA - Hungarian DB - MTMT ER - TY - BOOK ED - Timár, L ED - Vigh, Krisztina ED - Fogarassyné Vathy, Ágnes ED - Telekesi, Éva TI - Építsünk könnyen és lassan adatmodellt! ET - 0 PB - Pannon Egyetem CY - Veszprém PY - 1996 SP - 251 UR - https://m2.mtmt.hu/api/publication/1759494 ID - 1759494 LA - Hungarian DB - MTMT ER - TY - BOOK AU - Fogarassyné Vathy, Ágnes AU - Németh, K TI - Adatmodellezési feladatok I. ET - 0 PB - Veszprémi Egyetem Tanárképző Kar Matematikai és Számítástechnikai Tanszék CY - Veszprém PY - 1996 SP - 93 UR - https://m2.mtmt.hu/api/publication/1759497 ID - 1759497 LA - Hungarian DB - MTMT ER -