Tamas Ferenci

According to our database, Tamas Ferenci authored at least 22 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Positive Impulsive Control of Tumor Therapy - A Cyber-Medical Approach.

Levente Kovács, Tamás Ferenci, Balázs Gombos, András Füredi, Imre J. Rudas, Gergely Szakács, Dániel András Drexler

IEEE Trans. Syst. Man Cybern. Syst., January, 2024

2022

Experimental Closed-Loop Control of Breast Cancer in Mice.

Levente Kovács, Bence Czakó, Máté Siket, Tamás Ferenci, András Füredi, Balázs Gombos, Gergely Szakács, Dániel András Drexler

Complex., 2022

2021

Chickenpox Cases in Hungary: a Benchmark Dataset for Spatiotemporal Signal Processing with Graph Neural Networks.

Benedek Rozemberczki, Paul Scherer, Oliver Kiss, Rik Sarkar, Tamas Ferenci

CoRR, 2021

2020

The use of block maxima method of extreme value statistics to characterise blood glucose curves.

Mátyás Szigeti, Tamás Ferenci, Levente Kovács

Proceedings of the 15th IEEE International Conference of System of Systems Engineering, 2020

The use of peak over threshold methods to characterise blood glucose curves.

Mátyás Szigeti, Tamás Ferenci, Levente Kovács

Proceedings of the 14th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2020

2019

Comparing machine learning and regression models for mortality prediction based on the Hungarian Myocardial Infarction Registry.

Peter Piros, Tamas Ferenci, Rita Fleiner, Péter Andréka, Hamido Fujita, László Fozo, Levente Kovács, András Jánosi

Knowl. Based Syst., 2019

Extended tumor growth model for combined therapy.

Dániel András Drexler, Tamás Ferenci, Levente Kovács

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Comparing the predictive power of decision tree models with different tuning approaches on Hungarian Myocardial Infarction Registry.

Peter Piros, Rita Fleiner, Tamás Ferenci, Levente Kovács, András Jánosi

Proceedings of the 13th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2019

Comparison of Michaelis-Menten kinetics modeling alternatives in cancer chemotherapy modeling.

Dániel András Drexler, Tamás Ferenci, Anna Lovrics, Levente Kovács

Proceedings of the 13th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2019

2018

Predicting body fat percentage from anthropometric and laboratory measurements using artificial neural networks.

Tamas Ferenci, Levente Kovács

Appl. Soft Comput., 2018

Prediction of the Survival of Patients with Cardiac Failure by Using Soft Computing Techniques.

Kenan Morani, György Eigner, Tamas Ferenci, Levente Kovács, Seref Naci Engin

Proceedings of the 12th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2018

2017

Experiences with Using Bayes Factors for Regression Analysis in Biostatistical Setting.

Tamás Ferenci, Levente Kovács

Period. Polytech. Electr. Eng. Comput. Sci., 2017

An Overview of Myocardial Infarction Registries and Results from the Hungarian Myocardial Infarction Registry.

Peter Piros, Rita Fleiner, Tamas Ferenci, Péter Andréka, Hamido Fujita, Peter J. Oefner, Levente Kovács, András Jánosi

Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2017

2016

Infectious hospital agents: An individual-based simulation framework.

Róbert Pethes, Tamas Ferenci, Levente Kovács

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Modelling xenograft tumor growth under antiangiogenic inhibitation with mixed-effects models.

Tamas Ferenci, Johanna Sápi, Levente Kovács

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

2015

Tumor Model Identification and Statistical Analysis.

Johanna Sápi, Tamas Ferenci, Dániel András Drexler, Levente Kovács

Proceedings of the 2015 IEEE International Conference on Systems, 2015

Physiological modeling and control at Obuda University.

Levente Kovács, Tamas Ferenci, Johanna Sápi, György Eigner, József Klespitz, Péter Szalay, Miklós Kozlovszky, Imre J. Rudas

Proceedings of the 10th IEEE Jubilee International Symposium on Applied Computational Intelligence and Informatics, 2015

2014

Using total correlation to discover related clusters of clinical chemistry parameters.

Tamas Ferenci, Levente Kovács

Proceedings of the IEEE 12th International Symposium on Intelligent Systems and Informatics, 2014

Model-based healthcare applications at Óbuda University.

Levente Kovács, Johanna Sápi, György Eigner, Tamas Ferenci, Péter Szalay, József Klespitz, Balazs Kurtan, Miklós Kozlovszky, Dániel András Drexler, Péter Pausits, István Á. Harmati, Zoltan Sápi, Imre J. Rudas

Proceedings of the 9th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2014

2013

Two Applications of Biostatistics in the Analysis of Pathophysiological Processes

Tamas Ferenci

PhD thesis, 2013

Correlation investigations between HbAlc and blood glucose indicators on type 1 diabetic Hungarian children.

Tamas Ferenci, A. Korner, Levente Kovács

Proceedings of the IEEE 8th International Symposium on Applied Computational Intelligence and Informatics, 2013

2011

Effects of obesity: A multivariate analysis of laboratory parameters.

Tamas Ferenci, Zsuzsanna Almássy, Adalbert Kovács, Levente Kovács

Proceedings of the 6th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2011