Ágnes Vathy-Fogarassy

发表

Empirical working time distribution-based line balancing with integrated simulated annealing and dynamic programming

Daniel Leitold, János Abonyi, Ágnes Vathy-Fogarassy, 2018, Central Eur. J. Oper. Res..

The Efficiency of Different Distance Metrics for Keyword-Based Search in Medical Documents: A Short Case Study

Ágnes Vathy-Fogarassy, Szabolcs Szekér, Balázs Szolár, 2020, dHealth.

Network-based Observability and Controllability Analysis of Dynamical Systems: the NOCAD toolbox

János Abonyi, Ágnes Vathy-Fogarassy, Dániel Leitold, 2019, F1000Research.

Managing Alternative Patient Appointments Using P-Graph Methodology

Zoltán Süle, Ágnes Vathy-Fogarassy, János Baumgartner, 2020, dHealth.

Frequent Treatment Sequence Mining from Medical Databases

Ágnes Vathy-Fogarassy, Krisztina Tóth, István Kósa, 2017, eHealth.

Network-Based Analysis of Dynamical Systems: Methods for Controllability and Observability Analysis, and Optimal Sensor Placement

János Abonyi, Ágnes Vathy-Fogarassy, Dániel Leitold, 2020, Springer Briefs in Computer Science.

Hybrid Minimal Spanning Tree and Mixture of Gaussians Based Clustering Algorithm

János Abonyi, Ágnes Vathy-Fogarassy, Attila Kiss, 2006, FoIKS.

Improvement of Jarvis-Patrick Clustering Based on Fuzzy Similarity

János Abonyi, Ágnes Vathy-Fogarassy, Attila Kiss, 2007, WILF.

The NOCAD MATLAB/Octave Toolbox Developed for the Analysis of Dynamical Systems

János Abonyi, Ágnes Vathy-Fogarassy, Dániel Leitold, 2020 .

Comparison of Control Group Generating Methods

Ágnes Vathy-Fogarassy, Szabolcs Szekér, György Fogarassy, 2017, eHealth.

Controllability and observability in complex networks – the effect of connection types

János Abonyi, Ágnes Vathy-Fogarassy, Dániel Leitold, 2017, Scientific Reports.

Network Distance-Based Simulated Annealing and Fuzzy Clustering for Sensor Placement Ensuring Observability and Minimal Relative Degree

Daniel Leitold, János Abonyi, Ágnes Vathy-Fogarassy, 2018, Sensors.

Topology Representing Networks for the Visualization of Manifolds

János Abonyi, Ágnes Vathy-Fogarassy, Agnes Werner-Stark, 2008, J. Math. Model. Algorithms.

Structural Controllability and Observability Analysis in Complex Networks

János Abonyi, Ágnes Vathy-Fogarassy, Dániel Leitold, 2020, Network-Based Analysis of Dynamical Systems.

Visualization of Topology Representing Networks

János Abonyi, Ágnes Vathy-Fogarassy, Balázs Gaál, 2007, IDEAL.

Graph-Based Clustering and Data Visualization Algorithms

János Abonyi, Ágnes Vathy-Fogarassy, J. Abonyi, 2013, SpringerBriefs in Computer Science.

Local and global mappings of topology representing networks

János Abonyi, Ágnes Vathy-Fogarassy, J. Abonyi, 2009, Inf. Sci..

Geodesic distance based fuzzy c-medoid clustering - searching for central points in graphs and high dimensional data

János Abonyi, András Király, Ágnes Vathy-Fogarassy, 2016, Fuzzy Sets Syst..

The Effect of Latent Binary Variables on the Uncertainty of the Prediction of a Dichotomous Outcome Using Logistic Regression Based Propensity Score Matching

Ágnes Vathy-Fogarassy, Szabolcs Szekér, 2018, eHealth.

Uniform data access platform for SQL and NoSQL database systems

Ágnes Vathy-Fogarassy, Tamás Hugyák, Ágnes Vathy-Fogarassy, 2017, Inf. Syst..

Application to the analysis of heat exchanger networks

János Abonyi, Ágnes Vathy-Fogarassy, Dániel Leitold, 2020 .

Fuzzy c-Medoid Graph Clustering

János Abonyi, András Király, Ágnes Vathy-Fogarassy, 2014, ICAISC.

Topology Representing Network Map - A New Tool for Visualization of High-Dimensional Data

János Abonyi, Attila Kiss, Ágnes Vathy-Fogarassy, 2008, Trans. Comput. Sci..

Reduction of Relative Degree by Optimal Control and Sensor Placement

János Abonyi, Ágnes Vathy-Fogarassy, Dániel Leitold, 2020, Network-Based Analysis of Dynamical Systems.

Applicability of process mining in the exploration of healthcare sequences

Ágnes Vathy-Fogarassy, György Fogarassy, Krisztina Tóth, 2017, 2017 IEEE 30th Neumann Colloquium (NC).

Application of Named Entity Recognition Methods to Extract Information from Echocardiography Reports

Ágnes Vathy-Fogarassy, Szabolcs Szekér, György Fogarassy, 2019, dHealth.

Ágnes Vathy-Fogarassy, Szabolcs Szekér, Ágnes Vathy-Fogarassy, 2019, 2019 IEEE International Work Conference on Bioinspired Intelligence (IWOBI).