Ágnes Vathy-Fogarassy

Orcid: 0000-0002-5524-1675

According to our database1, Ágnes Vathy-Fogarassy authored at least 28 papers between 2006 and 2024.

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Bibliography

2024
Surpassing early stopping: A novel correlation-based stopping criterion for neural networks.
Neurocomputing, January, 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

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

Managing Alternative Patient Appointments Using P-Graph Methodology.
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
Uniform data access platform for SQL and NoSQL database systems.
Inf. Syst., 2017

Frequent Treatment Sequence Mining from Medical Databases.
Proceedings of the Health Informatics Meets eHealth - Digital Insight - Information-Driven Health & Care, 2017

Comparison of Control Group Generating Methods.
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
Fuzzy c-Medoid Graph Clustering.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

2013
Graph-Based Clustering and Data Visualization Algorithms.
Springer Briefs in Computer Science, Springer, ISBN: 978-1-4471-5157-9, 2013

2009
Novel Graph Based Clustering and Visualization Algorithms for Data Mining
PhD thesis, 2009

Local and global mappings of topology representing networks.
Inf. Sci., 2009

2008
Topology Representing Network Map - A New Tool for Visualization of High-Dimensional Data.
Trans. Comput. Sci., 2008

Topology Representing Networks for the Visualization of Manifolds.
J. Math. Model. Algorithms, 2008

2007
Improvement of Jarvis-Patrick Clustering Based on Fuzzy Similarity.
Proceedings of the Applications of Fuzzy Sets Theory, 2007

Visualization of Topology Representing Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

2006
Hybrid Minimal Spanning Tree and Mixture of Gaussians Based Clustering Algorithm.
Proceedings of the Foundations of Information and Knowledge Systems, 2006


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