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ORCIDÁgnes Vathy-Fogarassy
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2020 – today
- 2025
[j15]Rebeka Torok, Brigitta Meszaros, Veronika Gombas, Ágnes Vathy-Fogarassy, Miklos Szabo, Eszter Csanky, Gábor Járvás, Andras Guttman:
Predicting the effectiveness of chemotherapy treatment in lung cancer utilizing artificial intelligence-supported serum N-glycome analysis. Comput. Biol. Medicine 186: 109681 (2025)- 2024
- [j14]Gábor Arányi, Ágnes Vathy-Fogarassy
, Veronika Szücs:
Evaluation of a New-Concept Secure File Server Solution. Future Internet 16(9): 306 (2024) - [j13]Tamás Miseta, Attila Fodor, Ágnes Vathy-Fogarassy:
Surpassing early stopping: A novel correlation-based stopping criterion for neural networks. Neurocomputing 567: 127028 (2024) - [j12]Róbert Csalódi, Zsolt Bagyura, Ágnes Vathy-Fogarassy, János Abonyi:
Time-dependent frequent sequence mining-based survival analysis. Knowl. Based Syst. 296: 111885 (2024) - [c14]János Kontos, László Bódis, Ágnes Vathy-Fogarassy:
Forecasting Longitudinal Acceleration in Urban Vehicles. AIAI (3) 2024: 85-98 - 2023
- [j11]Szabolcs Szekér, György Fogarassy, Ágnes Vathy-Fogarassy:
A general text mining method to extract echocardiography measurement results from echocardiography documents. Artif. Intell. Medicine 143: 102584 (2023) - [j10]János Kontos, Balázs Kránicz, Ágnes Vathy-Fogarassy:
Prediction for Future Yaw Rate Values of Vehicles Using Long Short-Term Memory Network. Sensors 23(12): 5670 (2023) - 2022
- [j9]Ágnes Vathy-Fogarassy, István Vassányi, István Kósa:
Multi-level process mining methodology for exploring disease-specific care processes. J. Biomed. Informatics 125: 103979 (2022) - [c13]Zoltán Süle, János Baumgartner, Dániel Leitold, Tibor Dulai, Ákos Orosz, Ágnes Vathy-Fogarassy:
Software Framework and Graph-based Methodology for Optimal Patient Appointment Planning. CENTERIS/ProjMAN/HCist 2022: 1169-1176 - 2021
- [j8]Szabolcs Szekér, Ágnes Vathy-Fogarassy:
Optimized Weighted Nearest Neighbours Matching Algorithm for Control Group Selection. Algorithms 14(12): 356 (2021) - 2020
- [b3]Dániel Leitold, Ágnes Vathy-Fogarassy, János Abonyi:
Network-Based Analysis of Dynamical Systems - Methods for Controllability and Observability Analysis, and Optimal Sensor Placement. Springer Briefs in Computer Science, Springer 2020, ISBN 978-3-030-36471-7, pp. 1-85 - [c12]Zoltán Süle, János Baumgartner, Ágnes Vathy-Fogarassy:
Managing Alternative Patient Appointments Using P-Graph Methodology. dHealth 2020: 57-64 - [c11]Ágnes Vathy-Fogarassy, Szabolcs Szekér, Balázs Szolár, György Fogarassy:
The Efficiency of Different Distance Metrics for Keyword-Based Search in Medical Documents: A Short Case Study. dHealth 2020: 232-239
2010 – 2019
- 2019
- [j7]Daniel Leitold, Ágnes Vathy-Fogarassy, János Abonyi:
Empirical working time distribution-based line balancing with integrated simulated annealing and dynamic programming. Central Eur. J. Oper. Res. 27(2): 455-473 (2019) - [c10]Szabolcs Szekér, György Fogarassy, Károly Machalik, Ágnes Vathy-Fogarassy:
Application of Named Entity Recognition Methods to Extract Information from Echocardiography Reports. dHealth 2019: 41-48 - [c9]Szabolcs Szekér, Ágnes Vathy-Fogarassy:
How Can the Similarity of the Case and Control Groups be Measured in Case-Control Studies? IWOBI 2019: 33-40 - [c8]Tamás Miseta, Ágnes Vathy-Fogarassy:
The Effect of the Different Data Aggregation Methods and their Detail Levels to the Prediction of Bitcoin's Exchange Rate. IWOBI 2019: 145-152 - [i1]Dániel Leitold, Ágnes Vathy-Fogarassy, János Abonyi:
Network-based Observability and Controllability Analysis of Dynamical Systems: the NOCAD toolbox. F1000Research 8: 646 (2019) - 2018
- [j6]Daniel Leitold, Ágnes Vathy-Fogarassy, János Abonyi:
Network Distance-Based Simulated Annealing and Fuzzy Clustering for Sensor Placement Ensuring Observability and Minimal Relative Degree. Sensors 18(9): 3096 (2018) - [c7]Szabolcs Szekér, Ágnes Vathy-Fogarassy:
The Effect of Latent Binary Variables on the Uncertainty of the Prediction of a Dichotomous Outcome Using Logistic Regression Based Propensity Score Matching. eHealth 2018: 1-8 - 2017
- [j5]Ágnes Vathy-Fogarassy, Tamás Hugyák:
Uniform data access platform for SQL and NoSQL database systems. Inf. Syst. 69: 93-105 (2017) - [c6]Krisztina Tóth, István Kósa, Ágnes Vathy-Fogarassy:
Frequent Treatment Sequence Mining from Medical Databases. eHealth 2017: 211-218 - [c5]Szabolcs Szekér, György Fogarassy, Ágnes Vathy-Fogarassy:
Comparison of Control Group Generating Methods. eHealth 2017: 311-318 - 2016
- [j4]András Király, Ágnes Vathy-Fogarassy, János Abonyi:
Geodesic distance based fuzzy c-medoid clustering - searching for central points in graphs and high dimensional data. Fuzzy Sets Syst. 286: 157-172 (2016) - 2014
- [c4]András Király, Ágnes Vathy-Fogarassy, János Abonyi:
Fuzzy c-Medoid Graph Clustering. ICAISC (2) 2014: 738-748 - 2013
- [b2]Ágnes Vathy-Fogarassy, János Abonyi:
Graph-Based Clustering and Data Visualization Algorithms. Springer Briefs in Computer Science, Springer 2013, ISBN 978-1-4471-5157-9, pp. I-XIII, 1-110
2000 – 2009
- 2009
- [b1]Ágnes Vathy-Fogarassy:
Novel Graph Based Clustering and Visualization Algorithms for Data Mining. Eötvös Loránd University, Hungary, 2009 - [j3]Ágnes Vathy-Fogarassy, János Abonyi:
Local and global mappings of topology representing networks. Inf. Sci. 179(21): 3791-3803 (2009) - 2008
- [j2]Ágnes Vathy-Fogarassy, Agnes Werner-Stark, János Abonyi:
Topology Representing Networks for the Visualization of Manifolds. J. Math. Model. Algorithms 7(4): 351-370 (2008) - [j1]Ágnes Vathy-Fogarassy, Attila Kiss, János Abonyi:
Topology Representing Network Map - A New Tool for Visualization of High-Dimensional Data. Trans. Comput. Sci. 1: 61-84 (2008) - 2007
- [c3]Ágnes Vathy-Fogarassy, Agnes Werner-Stark, Balázs Gaál, János Abonyi:
Visualization of Topology Representing Networks. IDEAL 2007: 557-566 - [c2]Ágnes Vathy-Fogarassy, Attila Kiss, János Abonyi:
Improvement of Jarvis-Patrick Clustering Based on Fuzzy Similarity. WILF 2007: 195-202 - 2006
- [c1]Ágnes Vathy-Fogarassy, Attila Kiss, János Abonyi:
Hybrid Minimal Spanning Tree and Mixture of Gaussians Based Clustering Algorithm. FoIKS 2006: 313-330
Coauthor Index
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last updated on 2025-02-14 01:06 CET by the dblp team
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