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Ágnes Vathy-Fogarassy

Showing results (1-10 of 18) with videos related to

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Studies in Health Technology and Informatics|May 5, 2018
The Effect of Latent Binary Variables on the Uncertainty of the Prediction of a Dichotomous Outcome Using Logistic Regression Based Propensity Score MatchingSzabolcs Szekér, Ágnes Vathy-Fogarassy
Plos One|July 24, 2020
Weighted nearest neighbours-based control group selection method for observational studiesSzabolcs Szekér, Ágnes Vathy-Fogarassy
Studies in Health Technology and Informatics|May 17, 2017
Frequent Treatment Sequence Mining from Medical DatabasesKrisztina Tóth, István Kósa, Ágnes Vathy-Fogarassy
Scientific Reports|March 10, 2017
Controllability and observability in complex networks - the effect of connection typesDániel Leitold, Ágnes Vathy-Fogarassy, János Abonyi
F1000Research|October 17, 2019
Network-based Observability and Controllability Analysis of Dynamical Systems: the NOCAD toolboxDániel Leitold, Ágnes Vathy-Fogarassy, János Abonyi
Sensors (Basel, Switzerland)|March 17, 2025
Sensitivity Analysis of Long Short-Term Memory-Based Neural Network Model for Vehicle Yaw Rate PredictionJános Kontos, László Bódis, Ágnes Vathy-Fogarassy
Sensors (Basel, Switzerland)|July 8, 2023
Prediction for Future Yaw Rate Values of Vehicles Using Long Short-Term Memory NetworkJános Kontos, Balázs Kránicz, Ágnes Vathy-Fogarassy
Studies in Health Technology and Informatics|May 17, 2017
Comparison of Control Group Generating MethodsSzabolcs Szekér, György Fogarassy, Ágnes Vathy-Fogarassy
Journal of Biomedical Informatics|December 26, 2021
Multi-level process mining methodology for exploring disease-specific care processesÁgnes Vathy-Fogarassy, István Vassányi, István Kósa
Studies in Health Technology and Informatics|June 25, 2020
Managing Alternative Patient Appointments Using P-Graph MethodologyZoltán Süle, János Baumgartner, Ágnes Vathy-Fogarassy
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Studies in Health Technology and Informatics|May 5, 2018
The Effect of Latent Binary Variables on the Uncertainty of the Prediction of a Dichotomous Outcome Using Logistic Regression Based Propensity Score MatchingSzabolcs Szekér, Ágnes Vathy-Fogarassy
Plos One|July 24, 2020
Weighted nearest neighbours-based control group selection method for observational studiesSzabolcs Szekér, Ágnes Vathy-Fogarassy
Studies in Health Technology and Informatics|May 17, 2017
Frequent Treatment Sequence Mining from Medical DatabasesKrisztina Tóth, István Kósa, Ágnes Vathy-Fogarassy
Scientific Reports|March 10, 2017
Controllability and observability in complex networks - the effect of connection typesDániel Leitold, Ágnes Vathy-Fogarassy, János Abonyi
F1000Research|October 17, 2019
Network-based Observability and Controllability Analysis of Dynamical Systems: the NOCAD toolboxDániel Leitold, Ágnes Vathy-Fogarassy, János Abonyi
Sensors (Basel, Switzerland)|March 17, 2025
Sensitivity Analysis of Long Short-Term Memory-Based Neural Network Model for Vehicle Yaw Rate PredictionJános Kontos, László Bódis, Ágnes Vathy-Fogarassy
Sensors (Basel, Switzerland)|July 8, 2023
Prediction for Future Yaw Rate Values of Vehicles Using Long Short-Term Memory NetworkJános Kontos, Balázs Kránicz, Ágnes Vathy-Fogarassy
Studies in Health Technology and Informatics|May 17, 2017
Comparison of Control Group Generating MethodsSzabolcs Szekér, György Fogarassy, Ágnes Vathy-Fogarassy
Journal of Biomedical Informatics|December 26, 2021
Multi-level process mining methodology for exploring disease-specific care processesÁgnes Vathy-Fogarassy, István Vassányi, István Kósa
Studies in Health Technology and Informatics|June 25, 2020
Managing Alternative Patient Appointments Using P-Graph MethodologyZoltán Süle, János Baumgartner, Ágnes Vathy-Fogarassy
Pageof 2