Ágnes Vathy-Fogarassy
Orcid: 0000-0002-5524-1675
According to our database1,
Ágnes Vathy-Fogarassy
authored at least 32 papers
between 2006 and 2024.
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Bibliography
2024
Future Internet, September, 2024
Surpassing early stopping: A novel correlation-based stopping criterion for neural networks.
Neurocomputing, January, 2024
Knowl. Based Syst., 2024
Proceedings of the Artificial Intelligence Applications and Innovations, 2024
2023
A general text mining method to extract echocardiography measurement results from echocardiography documents.
Artif. Intell. Medicine, September, 2023
Prediction for Future Yaw Rate Values of Vehicles Using Long Short-Term Memory Network.
Sensors, 2023
2022
Multi-level process mining methodology for exploring disease-specific care processes.
J. Biomed. Informatics, 2022
Software Framework and Graph-based Methodology for Optimal Patient Appointment Planning.
Proceedings of the CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2022
2021
Optimized Weighted Nearest Neighbours Matching Algorithm for Control Group Selection.
Algorithms, 2021
2020
Network-Based Analysis of Dynamical Systems - Methods for Controllability and Observability Analysis, and Optimal Sensor Placement
Springer Briefs in Computer Science, Springer, ISBN: 978-3-030-36471-7, 2020
The Efficiency of Different Distance Metrics for Keyword-Based Search in Medical Documents: A Short Case Study.
Proceedings of the dHealth 2020 - Biomedical Informatics for Health and Care, 2020
Proceedings of the dHealth 2020 - Biomedical Informatics for Health and Care, 2020
2019
Network-based Observability and Controllability Analysis of Dynamical Systems: the NOCAD toolbox.
F1000Research, 2019
Empirical working time distribution-based line balancing with integrated simulated annealing and dynamic programming.
Central Eur. J. Oper. Res., 2019
How Can the Similarity of the Case and Control Groups be Measured in Case-Control Studies?
Proceedings of the IEEE International Work Conference on Bioinspired Intelligence, 2019
The Effect of the Different Data Aggregation Methods and their Detail Levels to the Prediction of Bitcoin's Exchange Rate.
Proceedings of the IEEE International Work Conference on Bioinspired Intelligence, 2019
Application of Named Entity Recognition Methods to Extract Information from Echocardiography Reports.
Proceedings of the dHealth 2019 - From eHealth to dHealth, 2019
2018
Network Distance-Based Simulated Annealing and Fuzzy Clustering for Sensor Placement Ensuring Observability and Minimal Relative Degree.
Sensors, 2018
The Effect of Latent Binary Variables on the Uncertainty of the Prediction of a Dichotomous Outcome Using Logistic Regression Based Propensity Score Matching.
Proceedings of the Health Informatics Meets eHealth - Biomedical Meets eHealth - From Sensors to Decisions, 2018
2017
Proceedings of the Health Informatics Meets eHealth - Digital Insight - Information-Driven Health & Care, 2017
Proceedings of the Health Informatics Meets eHealth - Digital Insight - Information-Driven Health & Care, 2017
2016
Geodesic distance based fuzzy c-medoid clustering - searching for central points in graphs and high dimensional data.
Fuzzy Sets Syst., 2016
2014
Proceedings of the Artificial Intelligence and Soft Computing, 2014
2013
Springer Briefs in Computer Science, Springer, ISBN: 978-1-4471-5157-9, 2013
2009
PhD thesis, 2009
2008
Topology Representing Network Map - A New Tool for Visualization of High-Dimensional Data.
Trans. Comput. Sci., 2008
J. Math. Model. Algorithms, 2008
2007
Proceedings of the Applications of Fuzzy Sets Theory, 2007
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007
2006
Proceedings of the Foundations of Information and Knowledge Systems, 2006