Ágnes Vathy-Fogarassy

35 papers C 1Journal 17Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Automated research methodology classification using machine learning. Eng. Appl. Artif. Intell. Zsolt Tibor Kosztyán, Tünde Király, Tibor Csizmadia, Attila Imre Katona, Ágnes Vathy-Fogarassy
2025	—	`conf`	Consumption-aware Optimization of Multi-string Photovoltaic Systems Based on Economic Metrics. ICECET Tamás Miseta, Ágnes Vathy-Fogarassy, Zsófia Závodi-Fodor, Attila Fodor
2025	J	`jnl`	Predicting the effectiveness of chemotherapy treatment in lung cancer utilizing artificial intelligence-supported serum N-glycome analysis. Comput. Biol. Medicine Rebeka Torok, Brigitta Meszaros, Veronika Gombas, Ágnes Vathy-Fogarassy, Miklos Szabo, Eszter Csanky, Gábor Járvás, Andras Guttman
2024	J	`jnl`	Evaluation of a New-Concept Secure File Server Solution. Future Internet Gábor Arányi, Ágnes Vathy-Fogarassy, Veronika Szücs
2024	—	`conf`	Forecasting Longitudinal Acceleration in Urban Vehicles. AIAI (3) János Kontos, László Bódis, Ágnes Vathy-Fogarassy
2024	J	`jnl`	Surpassing early stopping: A novel correlation-based stopping criterion for neural networks. Neurocomputing Tamás Miseta, Attila Fodor, Ágnes Vathy-Fogarassy
2024	J	`jnl`	Time-dependent frequent sequence mining-based survival analysis. Knowl. Based Syst. Róbert Csalódi, Zsolt Bagyura, Ágnes Vathy-Fogarassy, János Abonyi
2023	J	`jnl`	A general text mining method to extract echocardiography measurement results from echocardiography documents. Artif. Intell. Medicine Szabolcs Szekér, György Fogarassy, Ágnes Vathy-Fogarassy
2023	J	`jnl`	Prediction for Future Yaw Rate Values of Vehicles Using Long Short-Term Memory Network. Sensors János Kontos, Balázs Kránicz, Ágnes Vathy-Fogarassy
2022	J	`jnl`	Multi-level process mining methodology for exploring disease-specific care processes. J. Biomed. Informatics Ágnes Vathy-Fogarassy, István Vassányi, István Kósa
2022	—	`conf`	Software Framework and Graph-based Methodology for Optimal Patient Appointment Planning. CENTERIS/ProjMAN/HCist Zoltán Süle, János Baumgartner, Dániel Leitold, Tibor Dulai, Ákos Orosz, Ágnes Vathy-Fogarassy
2021	J	`jnl`	Optimized Weighted Nearest Neighbours Matching Algorithm for Control Group Selection. Algorithms Szabolcs Szekér, Ágnes Vathy-Fogarassy
2020	—	`conf`	Managing Alternative Patient Appointments Using P-Graph Methodology. dHealth Zoltán Süle, János Baumgartner, Ágnes Vathy-Fogarassy
2020	—	`book`	Network-Based Analysis of Dynamical Systems - Methods for Controllability and Observability Analysis, and Optimal Sensor Placement Dániel Leitold, Ágnes Vathy-Fogarassy, János Abonyi
2020	—	`conf`	The Efficiency of Different Distance Metrics for Keyword-Based Search in Medical Documents: A Short Case Study. dHealth Ágnes Vathy-Fogarassy, Szabolcs Szekér, Balázs Szolár, György Fogarassy
2019	—	`conf`	Application of Named Entity Recognition Methods to Extract Information from Echocardiography Reports. dHealth Szabolcs Szekér, György Fogarassy, Károly Machalik, Ágnes Vathy-Fogarassy
2019	J	`jnl`	Empirical working time distribution-based line balancing with integrated simulated annealing and dynamic programming. Central Eur. J. Oper. Res. Daniel Leitold, Ágnes Vathy-Fogarassy, János Abonyi
2019	—	`conf`	How Can the Similarity of the Case and Control Groups be Measured in Case-Control Studies? IWOBI Szabolcs Szekér, Ágnes Vathy-Fogarassy
2019	J	`jnl`	Network-based Observability and Controllability Analysis of Dynamical Systems: the NOCAD toolbox. F1000Research Dániel Leitold, Ágnes Vathy-Fogarassy, János Abonyi
2019	—	`conf`	The Effect of the Different Data Aggregation Methods and their Detail Levels to the Prediction of Bitcoin's Exchange Rate. IWOBI Tamás Miseta, Ágnes Vathy-Fogarassy
2018	J	`jnl`	Network Distance-Based Simulated Annealing and Fuzzy Clustering for Sensor Placement Ensuring Observability and Minimal Relative Degree. Sensors Daniel Leitold, Ágnes Vathy-Fogarassy, János Abonyi
2018	—	`conf`	The Effect of Latent Binary Variables on the Uncertainty of the Prediction of a Dichotomous Outcome Using Logistic Regression Based Propensity Score Matching. eHealth Szabolcs Szekér, Ágnes Vathy-Fogarassy
2017	—	`conf`	Comparison of Control Group Generating Methods. eHealth Szabolcs Szekér, György Fogarassy, Ágnes Vathy-Fogarassy
2017	—	`conf`	Frequent Treatment Sequence Mining from Medical Databases. eHealth Krisztina Tóth, István Kósa, Ágnes Vathy-Fogarassy
2017	J	`jnl`	Uniform data access platform for SQL and NoSQL database systems. Inf. Syst. Ágnes Vathy-Fogarassy, Tamás Hugyák
2016	J	`jnl`	Geodesic distance based fuzzy c-medoid clustering - searching for central points in graphs and high dimensional data. Fuzzy Sets Syst. András Király, Ágnes Vathy-Fogarassy, János Abonyi
2014	—	`conf`	Fuzzy c-Medoid Graph Clustering. ICAISC (2) András Király, Ágnes Vathy-Fogarassy, János Abonyi
2013	—	`book`	Graph-Based Clustering and Data Visualization Algorithms. Ágnes Vathy-Fogarassy, János Abonyi
2009	J	`jnl`	Local and global mappings of topology representing networks. Inf. Sci. Ágnes Vathy-Fogarassy, János Abonyi
2009	—	`—`	Novel Graph Based Clustering and Visualization Algorithms for Data Mining Ágnes Vathy-Fogarassy
2008	J	`jnl`	Topology Representing Network Map - A New Tool for Visualization of High-Dimensional Data. Trans. Comput. Sci. Ágnes Vathy-Fogarassy, Attila Kiss, János Abonyi
2008	J	`jnl`	Topology Representing Networks for the Visualization of Manifolds. J. Math. Model. Algorithms Ágnes Vathy-Fogarassy, Agnes Werner-Stark, János Abonyi
2007	—	`conf`	Improvement of Jarvis-Patrick Clustering Based on Fuzzy Similarity. WILF Ágnes Vathy-Fogarassy, Attila Kiss, János Abonyi
2007	C	`conf`	Visualization of Topology Representing Networks. IDEAL Ágnes Vathy-Fogarassy, Agnes Werner-Stark, Balázs Gaál, János Abonyi
2006	—	`conf`	Hybrid Minimal Spanning Tree and Mixture of Gaussians Based Clustering Algorithm. FoIKS Ágnes Vathy-Fogarassy, Attila Kiss, János Abonyi