Agnes Vathy-Fogarassy

Associate Professor, Head of Department

University of Pannonia

Hungary

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About

Agnes Vathy-Fogarassy is an Associate Professor and the Head of Department at the University of Pannonia, Hungary. Her research areas include machine learning applications in biomarker discovery, automated research methodologies, and artificial intelligence in healthcare, particularly in chemotherapy treatment efficacy analysis. Additionally, she explores topics related to neural network sensitivity analysis, solar energy production calculations, and text mining methodologies in medical documentation.

Articles (18)

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2021

Collaborators (2)

Zsolt Tibor Kosztyán

Head of department, Full Professor

University of Pannonia

HUNGARY

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Attila Fodor

Head of Department, Vice-Dean of Faculty of Information Technology, Associate Professor

University of Pannonia

HUNGARY

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Agnes Vathy-Fogarassy

Research Interests

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About

Articles (18)

Automated research methodology classification using machine learning

Improved analytical workflow towards machine learning supported N-glycomics-based biomarker discovery

Predicting the effectiveness of chemotherapy treatment in lung cancer utilizing artificial intelligence-supported serum N-glycome analysis

Sensitivity Analysis of Long Short-Term Memory-Based Neural Network Model for Vehicle Yaw Rate Prediction

Quaternion-based irradiance calculation method applicable to solar power plants energy production

Evaluation of a New-Concept Secure File Server Solution

Time-dependent frequent sequence mining-based survival analysis

Surpassing early stopping: A novel correlation-based stopping criterion for neural networks

A general text mining method to extract echocardiography measurement results from echocardiography documents

Prediction for Future Yaw Rate Values of Vehicles Using Long Short-Term Memory Network

Aggregated Rankings of Top Leagues’ Football Teams: Application and Comparison of Different Ranking Methods

Software Framework and Graph-based Methodology for Optimal Patient Appointment Planning

Comparison of Cancer Survival Trends in Hungary in the Periods 2001–2005 and 2011–2015 According to a Population-Based Cancer Registry

Quaternion based solar irradiance forecast

Energy trading strategy for storage-based renewable power plants

Multi-level process mining methodology for exploring disease-specific care processes

Optimized Weighted Nearest Neighbours Matching Algorithm for Control Group Selection

Phase Plane-based Approaches for Event Detection and Plausibility Check of Vehicle Dynamics

Collaborators (2)

Zsolt Tibor Kosztyán

Attila Fodor

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