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Books and Theses
- 2007
[b1]Levente Kovács:
Methods for two dimensional stroke based painterly rendering. Effects and applications. University of Pannonia, Hungary, 2007
Journal Articles
- 2024
- [j33]Lehel Dénes-Fazakas
, Barbara Simon, Ádám Hartvég, László Szilágyi, Levente Kovács, Amir Mosavi, György Eigner:
Personalized food consumption detection with deep learning and Inertial Measurement Unit sensor. Comput. Biol. Medicine 182: 109167 (2024) - [j32]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: 3956877:1-3956877:22 (2024) - [j31]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): 87 (2024) - [j30]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): 1739-1770 (2024) - [j29]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): 2412 (2024) - [j28]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): 1248-1256 (2024) - [j27]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): 597-608 (2024) - 2023
- [j26]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): 6685-6692 (2023) - 2022
- [j25]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: 105511 (2022) - [j24]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: 105975 (2022) - [j23]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: 9348166:1-9348166:10 (2022) - [j22]Eva Hajnal, Levente Kovács, Gergely Vakulya:
Dairy Cattle Rumen Bolus Developments with Special Regard to the Applicable Artificial Intelligence (AI) Methods. Sensors 22(18): 6812 (2022) - [j21]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): 8568 (2022) - 2021
- [j20]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: 143549-143563 (2021) - [j19]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): 22533-22550 (2021) - 2020
- [j18]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): 4686 (2020) - 2019
- [j17]Levente Kovács, György Eigner, Máté Siket, László Barkai:
Control of Diabetes Mellitus by Advanced Robust Control Solution. IEEE Access 7: 125609-125622 (2019) - [j16]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: 15-26 (2019) - [j15]Dávid Csercsik, Levente Kovács:
Dynamic Modeling of the Angiogenic Switch and Its Inhibition by Bevacizumab. Complex. 2019: 9079104:1-9079104:18 (2019) - [j14]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: 1-7 (2019) - 2018
- [j13]Tamas Ferenci, Levente Kovács:
Predicting body fat percentage from anthropometric and laboratory measurements using artificial neural networks. Appl. Soft Comput. 67: 834-839 (2018) - [j12]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: 4670159:1-4670159:11 (2018) - [j11]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: 9784597:1 (2018) - 2017
- [j10]Dániel András Drexler, Johanna Sápi, Levente Kovács:
Modeling of Tumor Growth Incorporating the Effects of Necrosis and the Effect of Bevacizumab. Complex. 2017: 5985031:1-5985031:10 (2017) - [j9]Tamás Ferenci, Levente Kovács:
Experiences with Using Bayes Factors for Regression Analysis in Biostatistical Setting. Period. Polytech. Electr. Eng. Comput. Sci. 61(3): 246-252 (2017) - [j8]Levente Kovács:
Linear parameter varying (LPV) based robust control of type-I diabetes driven for real patient data. Knowl. Based Syst. 122: 199-213 (2017) - 2016
- [j7]Árpád Takács, György Eigner, Levente Kovács, Imre J. Rudas, Tamás Haidegger:
Teacher's Kit: Development, Usability, and Communities of Modular Robotic Kits for Classroom Education. IEEE Robotics Autom. Mag. 23(2): 30-39 (2016) - 2015
- [j6]József Klespitz, Márta Takács, Imre J. Rudas, Levente Kovács:
Performance of Soft Computing Controllers in Hemodialysis Machines. Int. J. Fuzzy Syst. 17(3): 414-422 (2015) - 2014
- [j5]Levente Kovács, Annamária Szeles, Johanna Sápi, Dániel András Drexler, Imre J. Rudas, István Á. Harmati, Zoltan Sápi:
Model-based angiogenic inhibition of tumor growth using modern robust control method. Comput. Methods Programs Biomed. 114(3): e98-e110 (2014) - [j4]Levente Kovács, Anita Keszler, Tamás Szirányi:
Component evolution analysis in descriptor graphs for descriptor ranking. Digit. Signal Process. 31: 1-12 (2014) - 2011
- [j3]Levente Kovács, Balázs Benyó, Jozsef Bokor, Zoltán Benyó:
Induced L2-norm minimization of glucose-insulin system for Type I diabetic patients. Comput. Methods Programs Biomed. 102(2): 105-118 (2011) - [j2]András György, Levente Kovács, Péter Szalay, Dániel András Drexler, Balázs Benyó, Zoltán Benyó:
Quasi-Model-Based Control of Type 1 Diabetes Mellitus. J. Electr. Comput. Eng. 2011: 728540:1-728540:12 (2011) - 2007
- [j1]Levente Kovács, Tamás Szirányi:
Focus Area Extraction by Blind Deconvolution for Defining Regions of Interest. IEEE Trans. Pattern Anal. Mach. Intell. 29(6): 1080-1085 (2007)
Conference and Workshop Papers
- 2024
- [c173]Vivien Patakvölgyi, Levente Kovács, Dániel András Drexler:
Artificial Neural Networks Based Cell Counting Techniques Using Microscopic Images: A Review. SACI 2024: 327-332 - [c172]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: 339-344 - [c171]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: 345-350 - [c170]Masoumeh Vali, Levente Kovács, Amir H. Gandomi:
A New Mutation Operator for Tabu Search Algorithm for Continuous Optimization. SACI 2024: 509-514 - [c169]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: 559-564 - [c168]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: 565-572 - [c167]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: 573-580 - [c166]László Horváth, Levente Kovács:
Extended Engineering Software Support for Multiphysical Research in Applied Informatics. SoMeT 2024: 123-136 - 2023
- [c165]Mirtill-Boglárka Naghi, Levente Kovács, László Szilágyi:
A Self-Tuning Version for the Possibilistic Fuzzy $c-\text{means}$ Clustering Algorithm. FUZZ 2023: 1-6 - [c164]Martin Ferenc Dömény, Melánia Puskás, Levente Kovács, Dániel András Drexler:
In silico chemotherapy optimization with genetic algorithm. SACI 2023: 97-102 - [c163]Tamás Dániel Szücs, Melánia Puskás, Dániel András Drexler, Levente Kovács:
Model predictive fuzzy control in chemotherapy optimization. SACI 2023: 103-108 - [c162]Lilla Kisbenedek, Melánia Puskás, Levente Kovács, Dániel András Drexler:
Indirect supervised fine-tuning of a tumor model parameter estimator neural network. SACI 2023: 109-116 - [c161]Jelena Tasic, Márta Takács, Levente Kovács:
A Kinetic Model-Based Approach for Estimating Hemoglobin A1c Based on Average Glucose. SACI 2023: 153-158 - [c160]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: 387-392 - [c159]Márta Péntek, Tamás Haidegger, János Tibor Czere, Levente Kovács, Zsombor Zrubka, László Gulácsi:
EQ-5D studies in robotic surgery: a mini-review. SACI 2023: 519-524 - [c158]Martin Ferenc Dömény, Melánia Puskás, Levente Kovács, Dániel András Drexler:
Population-Based Chemotherapy Optimization Using Genetic Algorithm. SISY 2023: 23-28 - [c157]Lilla Kisbenedek, Melánia Puskás, Levente Kovács, Dániel András Drexler:
Clustering-Based Parameter Estimation of a Tumor Model. SISY 2023: 43-48 - [c156]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: 1313-1319 - [c155]Kamilla Novák, Máté Siket, Levente Kovács, Dániel András Drexler, György Eigner:
Impulsive Model Predictive Control in Type 1 Diabetes Mellitus Applications. SMC 2023: 1320-1326 - [c154]Ágnes Gyorfi, Levente Kovács, László Szilágyi:
Brain Tumor Segmentation from Multi-Spectral MRI Records Using a U-net Cascade Architecture. SMC 2023: 1327-1332 - [c153]Lehel Dénes-Fazakas, Máté Siket, László Szilágyi, György Eigner, Levente Kovács:
Effect of Hyperparameters of Reinforcement Learning in Blood Glucose Control. SMC 2023: 1333-1340 - [c152]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: 3003-3008 - 2022
- [c151]Bence Czakó, Dániel András Drexler, Levente Kovács:
Control of a T1DM Model Using Robust Fixed-Point Transformations Based Control With Disturbance Rejection. AQTR 2022: 1-6 - [c150]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: 1-5 - [c149]Máté Siket, Kamilla Novák, Levente Kovács, György Eigner:
Automatically estimated meals in Model Predictive Control-Moving Horizon Estimation control strategy. ASCC 2022: 1367-1372 - [c148]Dániel András Drexler, Maria Ghita, Levente Kovács:
On the relative degree of perturbed nonlinear systems. ASCC 2022: 1759-1764 - [c147]Katalin Ferencz, József Domokos, Levente Kovács:
A statistical approach to time series sensor data evaluation using Apache Spark modules. SACI 2022: 329-334 - [c146]Máté Siket, Lehel Dénes-Fazakas, Levente Kovács, György Eigner:
Numba-accelerated parameter estimation for artificial pancreas applications. SISY 2022: 279-284 - [c145]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: 313-318 - [c144]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: 1512-1517 - [c143]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: 1891-1896 - [c142]László Horváth, Levente Kovács:
New Methods for Contextual Communication in Modeling Software Platform (MSP). SoMeT 2022: 129-139 - 2021
- [c141]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: 1-6 - [c140]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: 1-6 - [c139]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: 105-112 - [c138]Katalin Ferencz, József Domokos, Levente Kovács:
Review of Industry 4.0 Security Challenges. SACI 2021: 245-248 - [c137]Ogbolu Melvin Omone, Alex Ugochukwu Gbenimachor, Levente Kovács, Miklós Kozlovszky:
Knowledge Estimation with HPV and Cervical Cancer Risk Factors Using Logistic Regression. SACI 2021: 381-386 - [c136]Levente Kovács, Gábor Kertész:
Hungarian Traffic Sign Detection and Classification using Semi-Supervised Learning. SACI 2021: 437-442 - [c135]Stefano-Niko Orzen, Levente Kovács:
Simulation of Session Real-Time Events with OMNET++ and Java Modelling Tools. SISY 2021: 45-48 - [c134]László Horváth, Levente Kovács:
Engineering Platform as Integrated Software for Model Mediated Research. SoMeT 2021: 235-247 - 2020
- [c133]Bence Géza Czakó, Dániel András Drexler, Levente Kovács:
Impulsive Control of Tumor Growth via Nonlinear Model Predictive Control Using Direct Multiple Shooting. ECC 2020: 755-760 - [c132]Szabolcs Csaholczi, David Iclanzan, Levente Kovács, László Szilágyi:
Brain Tumor Segmentation from Multi-spectral MR Image Data Using Random Forest Classifier. ICONIP (1) 2020: 174-184 - [c131]György Eigner, Miklós Nagy, Levente Kovács:
Machine learning application development to predict blood glucose level based on real time patient data. RIVF 2020: 1-6 - [c130]Ogbolu Melvin Omone, Levente Kovács, Miklós Kozlovszky:
The Differences in Hydration and Dehydration Status: Physiological Characteristics in Students. SACI 2020: 71-76 - [c129]Mátyás Szigeti, Tamás Ferenci, Levente Kovács:
The use of peak over threshold methods to characterise blood glucose curves. SACI 2020: 199-204 - [c128]Jelena Tasic, György Eigner, Levente Kovács:
Review of Algorithms for Improving Control of Blood Glucose Levels. SISY 2020: 179-184 - [c127]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: 1699-1704 - [c126]József Klespitz, Levente Kovács:
On the way to strict glycemic control for hemodialysis patients. SoSE 2020: 381-384 - [c125]Bálint Péceli, Dániel András Drexler, Levente Kovács:
Optimal scheduling of low-dose metronomic chemotherapy: an in-silico analysis. SoSE 2020: 411-416 - [c124]Máté Siket, György Eigner, Levente Kovács:
Sensitivity and identifiability analysis of a third-order tumor growth model. SoSE 2020: 417-422 - [c123]Mátyás Szigeti, Tamás Ferenci, Levente Kovács:
The use of block maxima method of extreme value statistics to characterise blood glucose curves. SoSE 2020: 433-438 - [c122]Peter Piros, Rita Fleiner, Levente Kovács:
Random Forest-based predictive modelling on Hungarian Myocardial Infarction Registry. SoSE 2020: 525-530 - [c121]Tímea Fülöp, Ágnes Gyorfi, Szabolcs Csaholczi, Levente Kovács, László Szilágyi:
Brain Tumor Segmentation from Multi-Spectral MRI Data Using Cascaded Ensemble Learning*. SoSE 2020: 531-536 - 2019
- [c120]Bence Géza Czakó, Dániel András Drexler, Levente Kovács:
Continuous time Robust Fixed Point Transformations based control. AFRICON 2019: 1-6 - [c119]Ágnes Gyorfi, Levente Kovács, László Szilágyi:
Brain Tumour Segmentation from Multispectral MR Image Data Using Ensemble Learning Methods. CIARP 2019: 326-335 - [c118]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: 375-384 - [c117]Loránd Székely, Eva-Henrietta Dulf, Levente Kovács:
Development of an Approach to a Biologically Inspired Self-Organizing Control Structure. CSCS 2019: 36-41 - [c116]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: 804-807 - [c115]Balázs Nagy, Levente Kovács, Csaba Benedek:
SFM And Semantic Information Based Online Targetless Camera-LIDAR Self-Calibration. ICIP 2019: 1317-1321 - [c114]Balázs Nagy, Levente Kovács, Csaba Benedek:
Online Targetless End-to-End Camera-LIDAR Self-calibration. MVA 2019: 1-6 - [c113]József Klespitz, Imre Felde, Levente Kovács, Gergely Pintér, László Nádai:
Systemic Fluid Balance Control in Hemodialysis Machines with ANFIS. RIVF 2019: 1-5 - [c112]Dániel András Drexler, Levente Kovács:
Optimization of impulsive discrete-time tumor chemotherapy. SA 2019: 1-7 - [c111]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: 1-7 - [c110]Dániel András Drexler, Tamás Ferenci, Anna Lovrics, Levente Kovács:
Comparison of Michaelis-Menten kinetics modeling alternatives in cancer chemotherapy modeling. SACI 2019: 27-32 - [c109]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: 326-331 - [c108]Dániel András Drexler, Tamás Ferenci, Levente Kovács:
Extended tumor growth model for combined therapy. SMC 2019: 886-891 - [c107]Ágnes Gyorfi, Levente Kovács, László Szilágyi:
Brain Tumor Detection and Segmentation from Magnetic Resonance Image Data Using Ensemble Learning Methods. SMC 2019: 909-914 - [c106]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: 1390-1395 - [c105]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: 1408-1413 - 2018
- [c104]Eva-Henrietta Dulf, Levente Kovács:
Fractional order control of the cyber-physical cryogenic isotope separation columns cascade system. AQTR 2018: 1-6 - [c103]György Eigner, Levente Kovács:
Control of tumor growth by modern control methodologies. AQTR 2018: 1-6 - [c102]Tamas Gonczy, Dávid Csercsik, Levente Kovács:
A hybrid cellular automaton model of tumor-induced angiogenesis. AQTR 2018: 1-6 - [c101]Dávid Csercsik, Johanna Sápi, Levente Kovács:
Model-Based Simulation and Comparison of Open-Loop and Closed-Loop Combined Therapies for Tumor Treatment. CCTA 2018: 1383-1388 - [c100]Kenan 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: 201-206 - [c99]József Klespitz, Levente Kovács:
Multivariable Control Structures of Hemodialysis Machines for Patient Fluid Balance Maintenance. SACI 2018: 415-418 - [c98]György Eigner, Máté Siket, Anikó Szakál, Imre J. Rudas, Levente Kovács:
Discrete LPV Modeling of Diabetes Mellitus for Control Purposes. SMC 2018: 2558-2563 - [c97]György Eigner, Dániel András Drexler, Levente Kovács:
Tumor Growth Control by TP-LPV-LMI Based Controller. SMC 2018: 2564-2569 - 2017
- [c96]Dávid Csercsik, Johanna Sápi, Tamas Gonczy, Levente Kovács:
Bi-compartmental modelling of tumor and supporting vasculature growth dynamics for cancer treatment optimization purpose. CDC 2017: 4698-4702 - [c95]Miklós Biró, Felix Kossak, József Klespitz, Levente Kovács:
Graceful Integration of Process Capability Improvement, Formal Modeling and Web Technology for Traceability. EuroSPI 2017: 381-398 - [c94]Andrea Manno-Kovacs, Levente Kovács:
Lightweight Monocular Obstacle Avoidance by Salient Feature Fusion. ICCV Workshops 2017: 734-741 - [c93]Levente Kovács:
Cyber-medical systems: Challenges and possibilities. SISY 2017: 15-16 - [c92]György Eigner, Árpád Varga, Miklos Mezei, Levente Kovács:
LPV-based control of nonlinear compartmental model with input uncertainty. SISY 2017: 17-22 - [c91]Zsolt Fezer, Levente Kovács:
The economic impact of diabetes. SISY 2017: 77-82 - [c90]Árpád Varga, György Eigner, Levente Kovács, Imre Felde, Miklos Mezei:
Overview of taxi database from viewpoint of usability for traffic model development: A case study for Budapest. SISY 2017: 105-110 - [c89]György Eigner, Imre J. Rudas, Anikó Szakál, Levente Kovács:
Tensor product based modeling of tumor growth. SMC 2017: 900-905 - [c88]György Eigner, Levente Kovács:
Linear matrix inequality based control of tumor growth. SMC 2017: 1734-1739 - [c87]György Eigner, Gabor Szogi, Péter Pausits, Imre J. Rudas, Levente Kovács:
Nonlinear identification of a tumor growth model for validating cancer treatments. SMC 2017: 3159-3163 - [c86]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: 312-320 - 2016
- [c85]Isabela Roxana Birs, Cristina I. Muresan, Silviu Folea, Ovidiu Prodan, Levente Kovács:
Vibration suppression with fractional-order PIλDμ controller. AQTR 2016: 1-6 - [c84]Levente Kovács:
Visual Monocular Obstacle Avoidance for Small Unmanned Vehicles. CVPR Workshops 2016: 877-884 - [c83]Miklós Biró, József Klespitz, Johannes Gmeiner, Christa Illibauer, Levente Kovács:
Towards Automated Traceability Assessment through Augmented Lifecycle Space. EuroSPI 2016: 94-105 - [c82]Péter Szalay, Zoltán Benyó, Levente Kovács:
Long-term prediction for T1DM model during state-feedback control. ICCA 2016: 311-316 - [c81]Miklós Kozlovszky, Levente Kovács, Khulan Batbayar, Zoltan Garaguly:
Automatic protocol based intervention plan analysis in healthcare. MIPRO 2016: 253-257 - [c80]Levente Kovács:
Physiological control systems for high-quality interdisciplinary researches. SACI 2016: 11-12 - [c79]Johanna Sápi, Dániel András Drexler, Levente Kovács:
Discrete time state feedback with setpoint control, actual state observer and load estimation for a tumor growth model. SACI 2016: 111-118 - [c78]József Klespitz, Miklós Biró, Levente Kovács:
Evaluation criteria for application life cycle management systems in practice. SACI 2016: 469-472 - [c77]György Eigner, Péter Pausits, Levente Kovács:
A novel completed LPV controller and observer scheme in order to control nonlinear compartmental systems. SISY 2016: 85-92 - [c76]Dániel András Drexler, Levente Kovács:
Second-order and implicit methods in numerical integration improve tracking performance of the closed-loop inverse kinematics algorithm. SMC 2016: 3362-3367 - [c75]Levente Kovács, György Eigner:
Convex polytopic modeling of diabetes mellitus: A Tensor Product based approach. SMC 2016: 3393-3398 - [c74]György Eigner, Imre J. Rudas, Levente Kovács:
Investigation of the TP-based modeling possibility of a nonlinear ICU diabetes model. SMC 2016: 3405-3410 - [c73]Róbert Pethes, Tamas Ferenci, Levente Kovács:
Infectious hospital agents: An individual-based simulation framework. SMC 2016: 3434-3439 - [c72]Johanna Sápi, Dániel András Drexler, Levente Kovács:
Comparison of protocol based cancer therapies and discrete controller based treatments in the case of endostatin administration. SMC 2016: 3830-3835 - [c71]Tamas Ferenci, Johanna Sápi, Levente Kovács:
Modelling xenograft tumor growth under antiangiogenic inhibitation with mixed-effects models. SMC 2016: 3912-3917 - [c70]József Klespitz, Miklós Biró, Levente Kovács:
Augmented Lifecycle Space for traceability and consistency enhancement. SMC 2016: 3973-3977 - [c69]József Klespitz, Miklós Biró, Levente Kovács:
Cross-Tool Interoperability in Heterogeneous Application Lifecycle Management Systems. SoMeT 2016: 213-220 - 2015
- [c68]Levente Kovács:
Single Image Visual Obstacle Avoidance for Low Power Mobile Sensing. ACIVS 2015: 261-272 - [c67]Puya Latafat, Pasquale Palumbo, Pierdomenico Pepe, Levente Kovács, Simona Panunzi, Andrea De Gaetano:
An LMI-based controller for the glucose-insulin system. ECC 2015: 7-12 - [c66]Levente Kovács, Balazs Kurtan, György Eigner, Imre J. Rudas, Chee-Kong Chui:
Analysis of a novel time-delay diabetes model. ECC 2015: 13-18 - [c65]Gábor Kiss, Orsolya Eszter Cseri, Ádám Altsach, István Imre Bándi, Levente Kovács, Miklos Kozlovszky:
High Resolution Digital Tissue Image Processing using Texture Image Databases. DoCEIS 2015: 239-247 - [c64]Levente Kovács, Tamas Ferenci, Johanna Sápi, György Eigner, József Klespitz, Péter Szalay, Miklós Kozlovszky, Imre J. Rudas:
Physiological modeling and control at Obuda University. SACI 2015: 21-25 - [c63]György Eigner, József K. Tar, Levente Kovács:
Adaptive control solution for T1DM control. SACI 2015: 215-220 - [c62]Johanna Sápi, Dániel András Drexler, Levente Kovács:
Comparison of mathematical tumor growth models. SISY 2015: 323-328 - [c61]György Eigner, Péter Horváth, József K. Tar, Imre J. Rudas, Levente Kovács:
Application of Robust Fixed Point Control in Case of T1DM. SMC 2015: 2459-2464 - [c60]Johanna Sápi, Tamas Ferenci, Dániel András Drexler, Levente Kovács:
Tumor Model Identification and Statistical Analysis. SMC 2015: 2481-2486 - [c59]József Klespitz, Imre J. Rudas, Levente Kovács:
LMI-Based Feedback Regulator Design via TP Transformation for Fluid Volume Control in Blood Purification Therapies. SMC 2015: 2615-2619 - 2014
- [c58]József K. Tar, Imre J. Rudas, Levente Kovács, Balazs Kurtan, Tamás Haidegger:
Observation-based data driven adaptive control of an electromechanical device. ISIC 2014: 1895-1900 - [c57]László Szilágyi, Levente Kovács, Sándor Miklós Szilágyi:
Synthetic Test Data Generation for Hierarchical Graph Clustering Methods. ICONIP (2) 2014: 303-310 - [c56]Péter Szalay, László Szilágyi, Zoltán Benyó, Levente Kovács:
Sensor Drift Compensation Using Fuzzy Interference System and Sparse-Grid Quadrature Filter in Blood Glucose Control. ICONIP (2) 2014: 445-453 - [c55]József K. Tar, Teréz Anna Várkonyi, Levente Kovács, Imre J. Rudas, Tamás Haidegger:
Robust Fixed Point Transformation based design for Model Reference Adaptive Control of a modified TORA system. IROS 2014: 123-128 - [c54]György Eigner, Peter Istvan Sas, Levente Kovács:
Continuous glucose monitoring systems in the service of artificial pancreas. SACI 2014: 117-122 - [c53]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:
Model-based healthcare applications at Óbuda University. SACI 2014: 183-187 - [c52]Tamas Ferenci, Levente Kovács:
Using total correlation to discover related clusters of clinical chemistry parameters. SISY 2014: 49-54 - [c51]László Szilágyi, Gellert Denesi, Levente Kovács, Sándor M. Szilágyi:
Comparison of various improved-partition fuzzy c-means clustering algorithms in fast color reduction. SISY 2014: 197-202 - [c50]József K. Tar, Levente Kovács, Árpád Takács, Bence Takács, Peter Zentay, Tamás Haidegger, Imre J. Rudas:
Novel design of a Model Reference Adaptive Controller for soft tissue operations. SMC 2014: 2446-2451 - [c49]Simona Panunzi, Alessandro Borri, Pasquale Palumbo, Levente Kovács, Andrea De Gaetano:
Simulation of insulin regimen and glucose profiles in Type 1 diabetic patient. SMC 2014: 2464-2469 - [c48]Péter Szalay, Adrienn Molnar, Mark Muller, György Eigner, Imre J. Rudas, Zoltán Benyó, Levente Kovács:
Comparison of sigma-point filters for state estimation of diabetes models. SMC 2014: 2476-2481 - 2013
- [c47]Levente Kovács:
Parallel multi-tree indexing for evaluating large descriptor sets. CBMI 2013: 195-199 - [c46]Annamária Szeles, Dániel András Drexler, Johanna Sápi, István Á. Harmati, Levente Kovács:
Model-based angiogenic inhibition of tumor growth using feedback linearization. CDC 2013: 2054-2059 - [c45]Péter Szalay, György Eigner, Miklós Kozlovszky, Imre J. Rudas, Levente Kovács:
The significance of LPV modeling of a widely used T1DM model. EMBC 2013: 3531-3534 - [c44]Levente Kovács:
Processing Geotagged Image Sets for Collaborative Compositing and View Construction. ICCV Workshops 2013: 460-467 - [c43]Miklos Kozlovszky, K. Hegedüs, Gergely Windisch, Levente Kovács, Gergely Pintér:
Image Classification Optimization of High Resolution Tissue Images. LSSC 2013: 532-539 - [c42]Johanna Sápi, Dániel András Drexler, István Á. Harmati, Annamária Szeles, Bernadett Kiss, Zoltan Sápi, Levente Kovács:
Tumor growth model identification and analysis in case of C38 colon adenocarcinoma and B16 melanoma. SACI 2013: 303-308 - [c41]Tamas Ferenci, A. Korner, Levente Kovács:
Correlation investigations between HbAlc and blood glucose indicators on type 1 diabetic Hungarian children. SACI 2013: 443-447 - [c40]Bernadett Kiss, Johanna Sápi, Levente Kovács:
Imaging method for model-based control of tumor diseases. SISY 2013: 271-275 - 2012
- [c39]Anita Keszler, Levente Kovács, Tamás Szirányi:
The Appearance of the Giant Component in Descriptor Graphs and Its Application for Descriptor Selection. CLEF 2012: 76-81 - [c38]Georg Hummel, Martin Russ, Peter Stütz, John Soldatos, Lorenzo Rossi, Thomas Knape, Ákos Utasi, Levente Kovács, Tamás Szirányi, Charalampos Doulaverakis, Ioannis Kompatsiaris:
Intelligent Multi Sensor Fusion System for Advanced Situation Awareness in Urban Environments. Future Security 2012: 93-104 - [c37]Georg Hummel, Levente Kovács, Peter Stütz, Tamás Szirányi:
Data Simulation and Testing of Visual Algorithms in Synthetic Environments for Security Sensor Networks. Future Security 2012: 212-215 - [c36]Levente Kovács:
Local shape recognition for mobile applications. ICIP 2012: 501-504 - [c35]Tamás Haidegger, Beáta Sirokai, Gábor Fenyvesi, Levente Kovács, Balázs Benyó, Zoltán Benyó:
Repeatable assessment protocol for electromagnetic trackers. Medical Imaging: Image-Guided Procedures 2012: 83161S - [c34]Dániel András Drexler, Johanna Sápi, Annamária Szeles, István Á. Harmati, Adalbert Kovács, Levente Kovács:
Flat control of tumor growth with angiogenic inhibition. SACI 2012: 179-183 - [c33]Laura Kovács, Béla Paláncz, Levente Kovács:
Solving Robust Glucose-Insulin Control by Dixon Resultant Computations. SYNASC 2012: 53-61 - [c32]Anita Keszler, Levente Kovács, Tamás Szirányi:
Graph based Descriptor Evaluation towards Automatic Feature Selection. VISAPP (1) 2012: 375-380 - 2011
- [c31]Levente Kovács, Péter Szalay, Balázs Benyó, J. Geoffrey Chase:
Asymptotic output tracking in blood glucose control. A case study. CDC/ECC 2011: 59-64 - [c30]Levente Kovács, Csaba Benedek:
Visual real-time detection, recognition and tracking of ground and airborne targets. Computational Imaging 2011: 787311 - [c29]Tamás Haidegger, Gábor Fenyvesi, Beáta Sirokai, Marton Kelemen, Melinda Nagy, Barnabás Takács, Levente Kovács, Balázs Benyó, Zoltán Benyó:
Towards unified electromagnetic tracking system assessment-static errors. EMBC 2011: 1905-1908 - [c28]Levente Kovács:
Interactive Search and Result Visualization for Content based Retrieval. IMAGAPP/IVAPP 2011: 266-269 - [c27]Levente Kovács:
Shape Retrieval and Recognition on Mobile Devices. MUSCLE 2011: 90-101 - [c26]Radu-Emil Precup, Levente Kovács, Tamás Haidegger, Stefan Preitl, Adalbert Kovács, Balázs Benyó, Endre Borbely, Zoltán Benyó:
Time delay compensation by fuzzy control in the case of master-slave telesurgery. SACI 2011: 305-310 - [c25]Péter Szalay, Levente Kovács:
Applicability of asymptotic tracking in case of type 1 diabetes. SACI 2011: 623-628 - [c24]Tamas Ferenci, Zsuzsanna Almássy, Adalbert Kovács, Levente Kovács:
Effects of obesity: A multivariate analysis of laboratory parameters. SACI 2011: 629-634 - [c23]Gábor Fenyvesi, Tamás Haidegger, Levente Kovács, Balázs Benyó, Zoltán Benyó:
Ubiquitous Tracking in the Medical Environment. FET 2011: 325-326 - 2010
- [c22]Tamás Haidegger, Peter Kazanzides, Balázs Benyó, Levente Kovács, Zoltán Benyó:
Surgical Case Identification for an Image-Guided Interventional System. IROS 2010: 1831-1836 - [c21]Levente Kovács:
Contour Based Shape Retrieval. ISVC (3) 2010: 59-68 - 2009
- [c20]Levente Kovács, Ákos Utasi, Tamás Szirányi:
VISRET - A Content Based Annotation, Retrieval and Visualization Toolchain. ACIVS 2009: 265-276 - [c19]Levente Kovács, Ákos Utasi, Zoltán Szlávik, Laszlo Havasi, István Petrás, Tamás Szirányi:
Digital Video Event Detector Framework for Surveillance Applications. AVSS 2009: 565-570 - [c18]Levente Kovács, András György, Zsuzsa Almássy, Zoltán Benyó:
Analyzing a novel model of human blood glucose system at molecular levels. ECC 2009: 2494-2499 - [c17]László Havasi, Zoltán Szlávik, Levente Kovács, Ákos Utasi, Csaba Benedek, Tamás Szirányi:
Validate Privacy Constraints in Surveillance Systems. ICT4Justice 2009: 81-88 - [c16]Levente Kovács, András György, Balázs Benyó, Zoltán Benyó, Adalbert Kovács:
Soft computing control of Type 1 diabetes described at molecular levels. SACI 2009: 99-104 - [c15]Tamás Haidegger, Levente Kovács, Balázs Benyó, Zoltán Benyó:
Spatial accuracy of surgical robots. SACI 2009: 133-138 - [c14]Balázs Benyó, András Vilmos, Gergely Fördös, Bálint Sódor, Levente Kovács:
The StoLPan view of the NFC ecosystem. WTS 2009: 1-5 - 2008
- [c13]Zoltán Szlávik, Levente Kovács, Laszlo Havasi, Csaba Benedek, István Petrás, Ákos Utasi, Attila Licsár, László Czúni, Tamás Szirányi:
Behavior and event detection for annotation and surveillance. CBMI 2008: 117-124 - [c12]Levente Kovács, Zoltán Szlávik, Csaba Benedek, Laszlo Havasi, István Petrás, Dávid Losteiner, Ákos Utasi, Attila Licsár, László Czúni, Tamás Szirányi:
Video Surveillance Framework for Crime Prevention and Event Indexing. ICT4Justice 2008 - [c11]Levente Kovács:
New Principles and Adequate Control Methods for Insulin Dosage in Case of Diabetes. IWPACBB 2008: 40-44 - 2007
- [c10]Levente Kovács, Béla Paláncz:
Glucose-Insulin Control of Type1 Diabetic Patients in H2/Hinfinity Space Via Computer Algebra. AB 2007: 95-109 - [c9]Levente Kovács, Tamás Szirányi:
Evaluation of Relative Focus Map Based Image Indexing. CBMI 2007: 186-191 - [c8]István Petrás, Csaba Beleznai, Yigithan Dedeoglu, Montse Pardàs, Levente Kovács, Zoltán Szlávik, Laszlo Havasi, Tamás Szirányi, B. Ugur Töreyin, Ugur Güdükbay, A. Enis Çetin, Cristian Canton-Ferrer:
Flexible test-bed for unusual behavior detection. CIVR 2007: 105-108 - [c7]Levente Kovács, Tamás Szirányi:
Painterly Effects Rendering with Focus Based Level of Detail. Eurographics (Short Papers) 2007: 81-84 - 2006
- [c6]Levente Kovács, Béla Paláncz, Balázs Benyó, László Török, Zoltán Benyó:
Robust Blood-Glucose Control using Mathematica. EMBC 2006: 451-454 - 2005
- [c5]Levente Kovács, Tamás Szirányi:
Image Indexing by Focus Map. ACIVS 2005: 300-307 - 2004
- [c4]Levente Kovács, Tamás Szirányi:
Efficient Coding of Stroke-Rendered Paintings. ICPR (2) 2004: 835-838 - [c3]Levente Kovács, Tamás Szirányi:
Painterly rendering controlled by multiscale image features. SCCG 2004: 177-184 - [c2]Levente Kovács, Tamás Szirányi:
Coding of Stroke-Based Animations. WSCG (Posters) 2004: 81-84 - 2002
- [c1]Levente Kovács, Tamás Szirányi:
Creating Animations Combining Stochastic Paintbrush Transformation and Motion Detection. ICPR (2) 2002: 1090-
Informal and Other Publications
- 2019
- [i1]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)
Coauthor Index
[j33] [j29] [j26] [j21] [j20] [j17] [j12] [j11] [j7] [c169] [c168] [c167] [c160] [c156] [c155] [c153] [c152] [c150] [c149] [c146] [c145] [c144] [c143] [c139] [c131] [c128] [c124] [c111] [c106] [c105] [c103] [c100] [c98] [c97] [c92] [c90] [c89] [c88] [c87] [c77] [c75] [c74] [c66] [c64] [c63] [c61] [c54] [c53] [c48] [c45]
Tamas Ferenci
aka: Tamás Ferenci
aka: Tamás Ferenci
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