Ágnes Vathy-Fogarassy

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 21

Top Topics

Geodesic Distance

Medical Databases

Fuzzy Clustering

Top Venues

Publications

János Kontos, László Bódis, Ágnes Vathy-Fogarassy
Forecasting Longitudinal Acceleration in Urban Vehicles. AIAI (3) (2024)
Róbert Csalódi, Zsolt Bagyura, Ágnes Vathy-Fogarassy, János Abonyi
Time-dependent frequent sequence mining-based survival analysis. Knowl. Based Syst. 296 (2024)
Tamás Miseta, Attila Fodor, Ágnes Vathy-Fogarassy
Surpassing early stopping: A novel correlation-based stopping criterion for neural networks. Neurocomputing 567 (2024)
Szabolcs Szekér, György Fogarassy, Ágnes Vathy-Fogarassy
A general text mining method to extract echocardiography measurement results from echocardiography documents. Artif. Intell. Medicine 143 (2023)
János Kontos, Balázs Kránicz, Ágnes Vathy-Fogarassy
Prediction for Future Yaw Rate Values of Vehicles Using Long Short-Term Memory Network. Sensors 23 (12) (2023)
Ágnes Vathy-Fogarassy, István Vassányi, István Kósa
Multi-level process mining methodology for exploring disease-specific care processes. J. Biomed. Informatics 125 (2022)
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)
Szabolcs Szekér, Ágnes Vathy-Fogarassy
Optimized Weighted Nearest Neighbours Matching Algorithm for Control Group Selection. Algorithms 14 (12) (2021)
Zoltán Süle, János Baumgartner, Ágnes Vathy-Fogarassy
Managing Alternative Patient Appointments Using P-Graph Methodology. dHealth (2020)
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)
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) (2019)
Szabolcs Szekér, Ágnes Vathy-Fogarassy
How Can the Similarity of the Case and Control Groups be Measured in Case-Control Studies? IWOBI (2019)
Szabolcs Szekér, György Fogarassy, Károly Machalik, Ágnes Vathy-Fogarassy
Application of Named Entity Recognition Methods to Extract Information from Echocardiography Reports. dHealth (2019)
Tamas 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)
Dániel Leitold, Ágnes Vathy-Fogarassy, János Abonyi
Network-based Observability and Controllability Analysis of Dynamical Systems: the NOCAD toolbox. F1000Research 8 (2019)
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) (2018)
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)
Krisztina Tóth, István Kósa, Ágnes Vathy-Fogarassy
Frequent Treatment Sequence Mining from Medical Databases. eHealth (2017)
Ágnes Vathy-Fogarassy, Tamás Hugyák
Uniform data access platform for SQL and NoSQL database systems. Inf. Syst. 69 (2017)
Szabolcs Szekér, György Fogarassy, Ágnes Vathy-Fogarassy
Comparison of Control Group Generating Methods. eHealth (2017)
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 (2016)
András Király, Ágnes Vathy-Fogarassy, János Abonyi
Fuzzy c-Medoid Graph Clustering. ICAISC (2) (2014)
Ágnes Vathy-Fogarassy, János Abonyi
Local and global mappings of topology representing networks. Inf. Sci. 179 (21) (2009)
Ágnes Vathy-Fogarassy, Agnes Werner-Stark, János Abonyi
Topology Representing Networks for the Visualization of Manifolds. J. Math. Model. Algorithms 7 (4) (2008)
Ágnes Vathy-Fogarassy, Attila Kiss, János Abonyi
Topology Representing Network Map - A New Tool for Visualization of High-Dimensional Data. Trans. Comput. Sci. 1 (2008)
Ágnes Vathy-Fogarassy, Agnes Werner-Stark, Balázs Gaál, János Abonyi
Visualization of Topology Representing Networks. IDEAL (2007)
Ágnes Vathy-Fogarassy, Attila Kiss, János Abonyi
Improvement of Jarvis-Patrick Clustering Based on Fuzzy Similarity. WILF (2007)
Ágnes Vathy-Fogarassy, Attila Kiss, János Abonyi
Hybrid Minimal Spanning Tree and Mixture of Gaussians Based Clustering Algorithm. FoIKS (2006)