Levente Kovács

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 142

Top Venues

Publications

Lehel Dénes-Fazakas, Gyozo Dénes Fazakas, György Eigner, Levente Kovács, László Szilágyi
Review of Reinforcement Learning-Based Control Algorithms in Artificial Pancreas Systems for Diabetes Mellitus Management. SACI (2024)
Barbara Tóth, Hossein Motahari-Nezhad, Nicki Horseman, László Berek, Levente Kovács, Áron Hölgyesi, Márta Péntek, Seyedali Mirjalili, László Gulácsi, Zsombor Zrubka
Ranking resilience: assessing the impact of scientific performance and the expansion of the Times Higher Education Word University Rankings on the position of Czech, Hungarian, Polish, and Slovak universities. Scientometrics 129 (3) (2024)
Miklós Nagy, Barbara Simon, László Szász, Máté Siket, Lehel Dénes-Fazakas, György Eigner, Patrik Péter Süli, Levente Kovács, László Szilágyi
Web Application Development for Diabetes Patients. SACI (2024)
Vivien Patakvölgyi, Levente Kovács, Dániel András Drexler
Artificial Neural Networks Based Cell Counting Techniques Using Microscopic Images: A Review. SACI (2024)
Daotong Zhang, Peng Shi, Ramesh K. Agarwal, Levente Kovács
Reference Tracking MPC for Cyber-Physical Systems Under Denial-of-Service Attacks: An Omnidirectional Robot Application. IEEE Syst. J. 18 (2) (2024)
Áron Hölgyesi, Zsombor Zrubka, László Gulácsi, Petra Baji, Tamás Haidegger, Miklós Kozlovszky, Miklós Weszl, Levente Kovács, Márta Péntek
Robot-assisted surgery and artificial intelligence-based tumour diagnostics: social preferences with a representative cross-sectional survey. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
Lilla Kisbenedek, Melánia Puskás, Borbála Gergics, Levente Kovács, Dániel András Drexler
Noise Reduction with Wavelet Transform for Clustering Time Series of Tumor Volumes. SACI (2024)
Lehel Dénes-Fazakas, Barbara Simon, Ádám Hartvég, Levente Kovács, Eva-Henrietta Dulf, László Szilágyi, György Eigner
Physical Activity Detection for Diabetes Mellitus Patients Using Recurrent Neural Networks. Sensors 24 (8) (2024)
Levente Kovács, Tamás Ferenci, Balázs Gombos, András Füredi, Imre J. Rudas, Gergely Szakács, Dániel András Drexler
Positive Impulsive Control of Tumor Therapy - A Cyber-Medical Approach. IEEE Trans. Syst. Man Cybern. Syst. 54 (1) (2024)
Martin Ferenc Dömény, Melánia Puskás, Levente Kovács, Dániel András Drexler
A Review of Multi-Objective Optimization Algorithms in the Field of Chemotherapy Optimization. SACI (2024)
Róbert Pethes, Eliza Bodor-Eranus, Károly Takács, Levente Kovács
The Core Might Change Anyhow We Define It: The Instability of Key Actors in Longitudinal Social Network Data. Complex. 2024 (2024)
Csaba Potyok, Barbara Simon, Ádám Hartvég, Máté Siket, Lehel Dénes-Fazakas, György Eigner, Milán Balázs, Levente Kovács, László Szilágyi
Mobile Application Development for Diabetes Patient. SACI (2024)
Masoumeh Vali, Levente Kovács, Amir H. Gandomi
A New Mutation Operator for Tabu Search Algorithm for Continuous Optimization. SACI (2024)
Tuan-anh Tran, Márta Péntek, Hossein Motahari-Nezhad, János Abonyi, Levente Kovács, László Gulácsi, György Eigner, Zsombor Zrubka, Tamás Ruppert
Heart Rate Variability Measurement to Assess Acute Work-Content-Related Stress of Workers in Industrial Manufacturing Environment - A Systematic Scoping Review. IEEE Trans. Syst. Man Cybern. Syst. 53 (11) (2023)
Mirtill-Boglárka Naghi, Levente Kovács, László Szilágyi
A Self-Tuning Version for the Possibilistic Fuzzy $c-\text{means}$ Clustering Algorithm. FUZZ (2023)
Kamilla Novák, Máté Siket, Levente Kovács, Dániel András Drexler, György Eigner
Impulsive Model Predictive Control in Type 1 Diabetes Mellitus Applications. SMC (2023)
Kamilla Novák, Máté Siket, Levente Kovács, Dániel András Drexler, Imre J. Rudas, György Eigner
Model Predictive Control with Dynamic Positive Input Extension for Artificial Pancreas Applications. SMC (2023)
Tamás Dániel Szücs, Melánia Puskás, Dániel András Drexler, Levente Kovács
Model predictive fuzzy control in chemotherapy optimization. SACI (2023)
Martin Ferenc Dömény, Melánia Puskás, Levente Kovács, Dániel András Drexler
In silico chemotherapy optimization with genetic algorithm. SACI (2023)
Lehel Dénes-Fazakas, Máté Siket, László Szilágyi, György Eigner, Levente Kovács
Effect of Hyperparameters of Reinforcement Learning in Blood Glucose Control. SMC (2023)
Márta Péntek, Tamás Haidegger, János Tibor Czere, Levente Kovács, Zsombor Zrubka, László Gulácsi
EQ-5D studies in robotic surgery: a mini-review. SACI (2023)
Ágnes Gyorfi, Levente Kovács, László Szilágyi
Brain Tumor Segmentation from Multi-Spectral MRI Records Using a U-net Cascade Architecture. SMC (2023)
Martin Ferenc Dömény, Melánia Puskás, Levente Kovács, Dániel András Drexler
Population-Based Chemotherapy Optimization Using Genetic Algorithm. SISY (2023)
Jelena Tasic, Márta Takács, Levente Kovács
A Kinetic Model-Based Approach for Estimating Hemoglobin A1c Based on Average Glucose. SACI (2023)
Lehel Dénes-Fazakas, Máté Siket, László Szilágyi, György Eigner, Levente Kovács
Investigation of reward functions for controlling blood glucose level using reinforcement learning. SACI (2023)
Lehel Dénes-Fazakas, Levente Kovács, György Eigner, László Szilágyi
Brain Tumor Segmentation from Multi-Spectral MRI Records Using a U-Net Cascade Architecture. SMC (2023)
Lilla Kisbenedek, Melánia Puskás, Levente Kovács, Dániel András Drexler
Clustering-Based Parameter Estimation of a Tumor Model. SISY (2023)
Lilla Kisbenedek, Melánia Puskás, Levente Kovács, Dániel András Drexler
Indirect supervised fine-tuning of a tumor model parameter estimator neural network. SACI (2023)
Milad Mousavi, Mahsa Dehghan Manshadi, Madjid Soltani, Farshad Moradi Kashkooli, Arman Rahmim, Amir Mosavi, Michal Kvasnica, Peter M. Atkinson, Levente Kovács, Andras Koltay, Norbert Kiss, Hojjat Adeli
Modeling the efficacy of different anti-angiogenic drugs on treatment of solid tumors using 3D computational modeling and machine learning. Comput. Biol. Medicine 146 (2022)
Máté Siket, Rebeka Tóth, Imre J. Rudas, György Eigner, Levente Kovács
Parameter estimation of T1DM models with a particular focus on endogenous glucose production. SMC (2022)
Marcell Szántó, Gergo Strasser, László Szász, Lehel Dénes-Fazakas, György Eigner, Gábor Kertész, Levente Kovács
Utilization of IMU-Based Gesture Recognition in the Treatment of Diabetes. AQTR (2022)
Máté Siket, Lehel Dénes-Fazakas, Levente Kovács, György Eigner
Numba-accelerated parameter estimation for artificial pancreas applications. SISY (2022)
Levente Kovács, Bence Czakó, Máté Siket, Tamás Ferenci, András Füredi, Balázs Gombos, Gergely Szakács, Dániel András Drexler
Experimental Closed-Loop Control of Breast Cancer in Mice. Complex. 2022 (2022)
Máté Siket, Kamilla Novák, Levente Kovács, György Eigner
Automatically estimated meals in Model Predictive Control-Moving Horizon Estimation control strategy. ASCC (2022)
Bence Czakó, Dáexler András Drexler, Levente Kovács
Control of a T1DM Model Using Robust Fixed-Point Transformations Based Control With Disturbance Rejection. AQTR (2022)
Amirhosein Mosavi, Ardashir Mohammadzadeh, Rathinasamy Sakthivel, Chunwei Zhang, Uwe Reuter, Levente Kovács, Hojjat Adeli
Deep learning fuzzy immersion and invariance control for type-I diabetes. Comput. Biol. Medicine 149 (2022)
Lehel Dénes-Fazakas, Máté Siket, Gábor Kertész, László Szilágyi, Levente Kovács, György Eigner
Control of Type 1 Diabetes Mellitus using direct reinforcement learning based controller. SMC (2022)
Dániel András Drexler, Maria Ghita, Levente Kovács
On the relative degree of perturbed nonlinear systems. ASCC (2022)
Katalin Ferencz, József Domokos, Levente Kovács
A statistical approach to time series sensor data evaluation using Apache Spark modules. SACI (2022)
László Horváth, Levente Kovács
New Methods for Contextual Communication in Modeling Software Platform (MSP). SoMeT (2022)
Tuan-anh Tran, János Abonyi, Levente Kovács, György Eigner, Tamás Ruppert
Heart Rate Variability Measurement to Assess Work-Related Stress of Physical Workers in Manufacturing Industries - Protocol for a Systematic Literature Review. SISY (2022)
Lehel Dénes-Fazakas, Máté Siket, László Szilágyi, Levente Kovács, György Eigner
Detection of Physical Activity Using Machine Learning Methods Based on Continuous Blood Glucose Monitoring and Heart Rate Signals. Sensors 22 (21) (2022)
Eva Hajnal, Levente Kovács, Gergely Vakulya
Dairy Cattle Rumen Bolus Developments with Special Regard to the Applicable Artificial Intelligence (AI) Methods. Sensors 22 (18) (2022)
Ogbolu Melvin Omone, Alex Ugochukwu Gbenimachor, Levente Kovács, Miklós Kozlovszky
Knowledge Estimation with HPV and Cervical Cancer Risk Factors Using Logistic Regression. SACI (2021)
Stefano-Niko Orzen, Levente Kovács
Simulation of Session Real-Time Events with OMNET++ and Java Modelling Tools. SISY (2021)
David Iclanzan, Rodica Ioana Lung, Zsolt Levente Kucsván, Béla Surányi, Levente Kovács, László Szilágyi
The role of atlases and multi-atlases in brain tissue segmentation based on multispectral magnetic resonance image data. AFRICON (2021)
Ákos Odry, Zoltan Vizvari, Nina Gyorfi, Levente Kovács, György Eigner, Mihály Klincsik, Zoltan Sári, Péter Odry, Attila Tóth
Application of Heuristic Optimization in Bioimpedance Spectroscopy Evaluation. SACI (2021)
Iván Sala-Mira, Máté Siket, Levente Kovács, György Eigner, Jorge Bondia
Effect of Model, Observer and Their Interaction on State and Disturbance Estimation in Artificial Pancreas: An In-Silico Study. IEEE Access 9 (2021)
Levente Kovács, Gábor Kertész
Hungarian Traffic Sign Detection and Classification using Semi-Supervised Learning. SACI (2021)
Petra Takacs, Levente Kovács, Andrea Manno-Kovacs
A fusion of salient and convolutional features applying healthy templates for MRI brain tumor segmentation. Multim. Tools Appl. 80 (15) (2021)
Katalin Ferencz, József Domokos, Levente Kovács
Review of Industry 4.0 Security Challenges. SACI (2021)
László Horváth, Levente Kovács
Engineering Platform as Integrated Software for Model Mediated Research. SoMeT (2021)
Andrea Koble, Ágnes Gyorfi, Szabolcs Csaholczi, Béla Surányi, Lehel Dénes-Fazakas, Levente Kovács, László Szilágyi
Identifying the most suitable histogram normalization technique for machine learning based segmentation of multispectral brain MRI data. AFRICON (2021)
Bálint Péceli, Dániel András Drexler, Levente Kovács
Optimal scheduling of low-dose metronomic chemotherapy: an in-silico analysis. SoSE (2020)
Tímea Fülöp, Ágnes Gyorfi, Szabolcs Csaholczi, Levente Kovács, László Szilágyi
. SoSE (2020)
Zoltan Vizvari, Nina Gyorfi, Ákos Odry, Zoltan Sári, Mihály Klincsik, Marin Gergics, Levente Kovács, Anita Kovács, Jozsef Pal, Zoltán Karádi, Péter Odry, Attila Tóth
Physical Validation of a Residual Impedance Rejection Method during Ultra-Low Frequency Bio-Impedance Spectral Measurements. Sensors 20 (17) (2020)
Bence Géza Czakó, Dániel András Drexler, Levente Kovács
Impulsive Control of Tumor Growth via Nonlinear Model Predictive Control Using Direct Multiple Shooting. ECC (2020)
Máté Siket, György Eigner, Levente Kovács
Sensitivity and identifiability analysis of a third-order tumor growth model. SoSE (2020)
Jelena Tasic, György Eigner, Levente Kovács
Review of Algorithms for Improving Control of Blood Glucose Levels. SISY (2020)
József Klespitz, Levente Kovács
On the way to strict glycemic control for hemodialysis patients. SoSE (2020)
Mátyás Szigeti, Tamás Ferenci, Levente Kovács
The use of block maxima method of extreme value statistics to characterise blood glucose curves. SoSE (2020)
Szabolcs Csaholczi, David Iclanzan, Levente Kovács, László Szilágyi
Brain Tumor Segmentation from Multi-spectral MR Image Data Using Random Forest Classifier. ICONIP (1) (2020)
Mátyás Szigeti, Tamás Ferenci, Levente Kovács
The use of peak over threshold methods to characterise blood glucose curves. SACI (2020)
Peter Piros, Rita Fleiner, Levente Kovács
Random Forest-based predictive modelling on Hungarian Myocardial Infarction Registry. SoSE (2020)
Ágnes Gyorfi, Szabolcs Csaholczi, Tímea Fülöp, Levente Kovács, László Szilágyi
Brain Tumor Segmentation from Multi-Spectral Magnetic Resonance Image Data Using an Ensemble Learning Approach. SMC (2020)
György Eigner, Miklós Nagy, Levente Kovács
Machine learning application development to predict blood glucose level based on real time patient data. RIVF (2020)
Ogbolu Melvin Omone, Levente Kovács, Miklós Kozlovszky
The Differences in Hydration and Dehydration Status: Physiological Characteristics in Students. SACI (2020)
Balázs Nagy, Levente Kovács, Csaba Benedek
SFM And Semantic Information Based Online Targetless Camera-LIDAR Self-Calibration. ICIP (2019)
Ágnes Gyorfi, Zoltán Karetka-Mezei, David Iclanzan, Levente Kovács, László Szilágyi
A Study on Histogram Normalization for Brain Tumour Segmentation from Multispectral MR Image Data. CIARP (2019)
József Klespitz, Imre Felde, Levente Kovács, Gergely Pintér, László Nádai
Systemic Fluid Balance Control in Hemodialysis Machines with ANFIS. RIVF (2019)
Dániel András Drexler, Tamás Ferenci, Levente Kovács
Extended tumor growth model for combined therapy. SMC (2019)
Parisa Yazdjerdi, Nader Meskin, Mohammad Al-Naemi, Ala-Eddin Al Moustafa, Levente Kovács
Reinforcement learning-based control of tumor growth under anti-angiogenic therapy. Comput. Methods Programs Biomed. 173 (2019)
Ágnes Gyorfi, Levente Kovács, László Szilágyi
Brain Tumour Segmentation from Multispectral MR Image Data Using Ensemble Learning Methods. CIARP (2019)
Balázs Nagy, Levente Kovács, Csaba Benedek
Online Targetless End-to-End Camera-LIDAR Self-calibration. MVA (2019)
Peter Piros, Rita Fleiner, Tamás Ferenci, Levente Kovács, András Jánosi
Comparing the predictive power of decision tree models with different tuning approaches on Hungarian Myocardial Infarction Registry. SACI (2019)
Dávid Csercsik, Levente Kovács
Dynamic Modeling of the Angiogenic Switch and Its Inhibition by Bevacizumab. Complex. 2019 (2019)
Peter Piros, Tamas Ferenci, Rita Fleiner, Péter Andréka, Hamido Fujita, László Fozo, Levente Kovács, András Jánosi
Comparing machine learning and regression models for mortality prediction based on the Hungarian Myocardial Infarction Registry. Knowl. Based Syst. 179 (2019)
Dániel András Drexler, Levente Kovács
Optimization of impulsive discrete-time tumor chemotherapy. SA (2019)
Levente Kovács, György Eigner, Máté Siket, László Barkai
Control of Diabetes Mellitus by Advanced Robust Control Solution. IEEE Access 7 (2019)
Loránd Székely, Eva-Henrietta Dulf, Levente Kovács
Development of an Approach to a Biologically Inspired Self-Organizing Control Structure. CSCS (2019)
Levente Kovács, György Eigner, Bence Czakó, Máté Siket, József K. Tar
An opportunity of using Robust Fixed Point Transformation-based controller design in case of Type 1 Diabetes Mellitus. SA (2019)
Andrea Manno-Kovacs, Csaba Benedek, Levente Kovács
Content-Based Analysis of Medical Image Data for Augmented Reality Based Health Applications. ERCIM News 2019 (118) (2019)
Dániel András Drexler, Tamás Ferenci, Anna Lovrics, Levente Kovács
Comparison of Michaelis-Menten kinetics modeling alternatives in cancer chemotherapy modeling. SACI (2019)
Ágnes Gyorfi, Levente Kovács, László Szilágyi
A Feature Ranking and Selection Algorithm for Brain Tumor Segmentation in Multi-Spectral Magnetic Resonance Image Data. EMBC (2019)
Bence Géza Czakó, Dániel András Drexler, Levente Kovács
Continuous time Robust Fixed Point Transformations based control. AFRICON (2019)
Árpád Varga, Levente Kovács, György Eigner, Dusan Kocur, József K. Tar
Fixed Point Iteration-based Adaptive Control for a Delayed Differential Equation Model of Diabetes Mellitus. SMC (2019)
Levente Kovács, Máté Siket, Imre J. Rudas, Anikó Szakál, György Eigner
Discrete LPV Based Parameter Estimation For TIDM Patients By Using Dual Extended Kalman Filtering Method. SMC (2019)
Ágnes Gyorfi, Levente Kovács, László Szilágyi
Brain Tumor Detection and Segmentation from Magnetic Resonance Image Data Using Ensemble Learning Methods. SMC (2019)
Tamas Gonczy, Dávid Csercsik, Levente Kovács
A hybrid cellular automaton model of tumor-induced angiogenesis. AQTR (2018)
György Eigner, Dániel András Drexler, Levente Kovács
Tumor Growth Control by TP-LPV-LMI Based Controller. SMC (2018)
József Klespitz, Levente Kovács
Multivariable Control Structures of Hemodialysis Machines for Patient Fluid Balance Maintenance. SACI (2018)
Hamza Khan, József K. Tar, Imre J. Rudas, Levente Kovács, György Eigner
Receding Horizon Control of Type 1 Diabetes Mellitus by Using Nonlinear Programming. Complex. 2018 (2018)
György Eigner, Máté Siket, Anikó Szakál, Imre J. Rudas, Levente Kovács
Discrete LPV Modeling of Diabetes Mellitus for Control Purposes. SMC (2018)
Kinan Morani, György Eigner, Tamas Ferenci, Levente Kovács, Seref Naci Engin
Prediction of the Survival of Patients with Cardiac Failure by Using Soft Computing Techniques. SACI (2018)
Eva-Henrietta Dulf, Levente Kovács
Fractional order control of the cyber-physical cryogenic isotope separation columns cascade system. AQTR (2018)
Dávid Csercsik, Johanna Sápi, Levente Kovács
Model-Based Simulation and Comparison of Open-Loop and Closed-Loop Combined Therapies for Tumor Treatment. CCTA (2018)
Tamas Ferenci, Levente Kovács
Predicting body fat percentage from anthropometric and laboratory measurements using artificial neural networks. Appl. Soft Comput. 67 (2018)
György Eigner, Levente Kovács
Control of tumor growth by modern control methodologies. AQTR (2018)
Hamza Khan, József K. Tar, Imre J. Rudas, Levente Kovács, György Eigner
Corrigendum to "Receding Horizon Control of Type 1 Diabetes Mellitus by Using Nonlinear Programming". Complex. 2018 (2018)
Peter Piros, Rita Fleiner, Tamas Ferenci, Péter Andréka, Hamido Fujita, Peter J. Oefner, Levente Kovács, András Jánosi
An Overview of Myocardial Infarction Registries and Results from the Hungarian Myocardial Infarction Registry. SoMeT (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Levente Kovács