Gabor Horvath
Cím
Idézte
Idézte
Év
A sparse least squares support vector machine classifier
J Valyon, G Horváth
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference …, 2004
692004
Artificial neural network based mobile robot navigation
I Engedy, G Horváth
Intelligent Signal Processing, 2009. WISP 2009. IEEE International Symposium …, 2009
472009
Kernel CMAC with improved capability
G Horváth, T Szabo
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 37 …, 2007
392007
A Robust LS-SVM Regression
J Valyon, G Horváth
training 500, 1, 2005
342005
A full-parallel digital implementation for pre-trained NNs
T Szabó, L Antoni, G Horváth, B Fehér
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS …, 2000
312000
Segmentation of anatomical structures on chest radiographs
S Juhász, Á Horváth, L Nikházy, G Horváth, Á Horváth
XII Mediterranean Conference on Medical and Biological Engineering and …, 2010
262010
Artificial neural network based local motion planning of a wheeled mobile robot
I Engedy, G Horvath
Computational Intelligence and Informatics (CINTI), 2010 11th International …, 2010
252010
Neurális hálózatok
M Altrichter, G Horváth, B Pataki, G Strausz, G Takács, J Valyon
Panem Kiadó, 2006
252006
Joint analysis of multiple mammographic views in CAD systems for breast cancer detection
M Altrichter, Z Ludányi, G Horváth
Image Analysis, 83-95, 2005
252005
Neural networks in system identification
G Horvath
NATO SCIENCE SERIES SUB SERIES III COMPUTER AND SYSTEMS SCIENCES 185, 43-78, 2003
252003
Fast identification of systems with nonlinear feedback
J Paduart, G Horvath, J Schoukens
Proc. of the 6th IFAC Symposium on Nonlinear Control Systems (NOLCOS), 2004
212004
A Weighted Generalized LS-SVM
J Valyon, G Horváth
Periodica Polytechnica, Electrical Engineering 47 (3), 229-251, 2003
212003
Improving the Generalization Capability of the Binary CMAC
G Horváth
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000
21*2000
Improving the generalization capability of the binary CMAC
T Szabó, G Horváth
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS …, 2000
202000
Elimination of clavicle shadows to help automatic lung nodule detection on chest radiographs
G Simkó, G Orbán, P Máday, G Horváth
4th European Conference of the International Federation for Medical and …, 2009
192009
CMAC Neund Ne 附 0dc with Improved Generalization Property for System Modeling
G HORVATH, T SZAB
Instrumentation and Me~ umment Technology Conference 2002 (2), 1603-1608, 2002
17*2002
CMAC Neural Network with Improved Generalization Capability for System Modeling
T Szab, G Horvath
Proc. of the IEEE Conference on Instrumentation and Mcasurement, Anchorage …, 2002
17*2002
CMAC neural network with improved generalization property for system modeling
G Horváth, T Szabó
Instrumentation and Measurement Technology Conference, 2002. IMTC/2002 …, 2002
172002
Kernel CMAC: an efficient neural network for classification and regression
G Horváth
Acta Polytechnica Hungarica 3 (1), 5-20, 2006
162006
CMAC neural network as an SVM with B-Spline kernel functions
G Horvath
Instrumentation and Measurement Technology Conference, 2003. IMTC'03 …, 2003
162003
Black-box modeling of a complex industrial process
G Horváth, B Pataki, G Strausz
Engineering of Computer-Based Systems, 1999. Proceedings. ECBS'99. IEEE …, 1999
161999
Algorithm fusion to improve detection of lung cancer on chest radiographs
G Orbán, G Horváth
International Journal of Intelligent Computing and Cybernetics 5 (1), 111-144, 2012
142012
Algorithm fusion to improve detection of lung cancer on chest radiographs
G Horvath, G Orban
International Journal of Intelligent Computing and Cybernetics 5 (1), 4-4, 2012
142012
Lung Nodule Detection on Rib Eliminated Radiographs
G Orbán, Á Horváth, G Horváth
XII Mediterranean Conference on Medical and Biological Engineering and …, 2010
142010
Extended Least Squares LS–SVM
J Valyon, G Horváth
training 500, 1, 2006
132006
CMAC: Reconsidering an old neural network
G Horváth
Intelligent Control Systems and Signal Processing (ICONS), Faro, Portugal, 2003
122003
Nonlocal hysteresis function identification and compensation with neural networks
P Berényi, G Horváth, V Lampaert, J Swevers
Instrumentation and Measurement, IEEE Transactions on 54 (6), 2227-2238, 2005
112005
Intelligent advisory system for screening mammography
G Horváth, J Valyon, G Strausz, M Pataki, L Sragner, L Lasztovicza, ...
Instrumentation and Measurement Technology Conference, 2004. IMTC 04 …, 2004
112004
Modelling of a slightly nonlinear system: A neural network approach
L Sranger, J Schoukens, G Horvath
Proc. of the 6th IFAC Symposium on Nonlinear Control Systems (NOLCOS), 2004
112004
Markov chain based edge detection algorithm for evaluation of capillary microscopic images
G Hamar, G Horvath, Z Tarjan, T Virag
11th Mediterranean Conference on Medical and Biomedical Engineering and …, 2007
102007
The refinement of microcalcification cluster assessment by joint analysis of MLO and CC views
M Altrichter, G Horváth
Digital Mammography, 509-516, 2006
102006
Neural Networks in Measurement Systems
G Horváth
Advances in Learning Theory: Methods, Models and Applications, 375-402, 2003
102003
CMAC Neural Network with Improved Generalization Capability for System Modelling
T Szabo, G Horvath
Proc. of the IEEE Conference on Instrumentation and Measurement 2, 1603-1608, 2002
102002
Hybrid-neural modeling of a complex industrial process
P Berényi, G Horváth, B Pataki, G Strausz
Instrumentation and Measurement Technology Conference, 2001. IMTC 2001 …, 2001
102001
CMAC and its Extensions for Efficient System Modeling and Diagnosis
T Szabo, G Horvath
International Journal of Applied Mathematics and Computer Science 9, 571-598, 1999
101999
Neural network implementation using distributed arithmetic
T Szabó, B Fehér, G Horváth
Knowledge-Based Intelligent Electronic Systems, 1998. Proceedings KES'98 …, 1998
101998
Neural models for an intelligent greenhouse-A CMAC global greenhouse model
P Eredics, K Gáti, TP Dobrowiecki, G Horváth
Computational Intelligence and Informatics (CINTI), 2011 IEEE 12th …, 2011
92011
A sparse robust model for a Linz–Donawitz steel converter
J Valyon, G Horváth
Instrumentation and Measurement, IEEE Transactions on 58 (8), 2611-2617, 2009
92009
A Global, Camera-based Mobile Robot Localization
I Engedy, G Horváth
proc. of the 10th International Symposium of Hungarian Researchers on CINTI …, 2009
92009
Inverse neural modeling of a Linz-Donawitz steel converter
B Pataki, G Horváth, G Strausz, Z Talata
e & i Elektrotechnik und Informationstechnik 117 (1), 13-17, 2000
92000
Trace and debug port based watchdog processor
B Scherer, G Horváth
Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE …, 2012
82012
A CAD System for Screening X-ray Chest Radiography
G Horváth, G Orbán, Á Horváth, G Simkó, B Pataki, P Máday, S Juhász, ...
World Congress on Medical Physics and Biomedical Engineering, September 7-12 …, 2009
82009
Selection methods for extended least squares support vector machines
J Valyon, G Horváth
International Journal of Intelligent Computing and Cybernetics 1 (1), 69-93, 2008
82008
Non-local hysteresis function identification and compensation with neural networks
P Berényi, G Horváth, V Lampaert, J Swevers
Periodica Polytechnica, Electrical Engineering 47 (3), 253-267, 2003
82003
Effects of database characteristics on the neural modeling of an industrial process
G Strausz, G Horváth, B Pataki
Proc. of the International ICSC/IFAC Symposium on Neural Computation/NC 98 …, 1998
7*1998
A Hybrid Lung Nodule Detection Scheme on Chest X-ray Images
G Orbán, G Horváth
5th European Conference of the International Federation for Medical and …, 2012
62012
Neural networks from the perspective of measurement systems
G Horvath
Instrumentation and Measurement Technology Conference, 2003. IMTC'03 …, 2003
62003
Reducing the complexity and network size of LS–SVM solutions
J Valyon, G Horvath
Submitted to: IEEE Transactions on Neural Networks, 2002
62002
An efficient implementation for a matrix-vector multiplier structure
T Szabó, L Antoni, G Horváth, B Fehér
Proceedings of IEEE International Joint Conference on Neural Networtks …, 2000
62000
Real time vector quantization of LSP parameters
B Kövesi, S Saoudi, JM Boucher, G Horváth
Speech communication 29 (1), 39-47, 1999
61999
Finite word length computational effects of the principal component analysis networks
T Szabo, G Horváth
Instrumentation and Measurement, IEEE Transactions on 47 (5), 1218-1222, 1998
61998
Hardware Implementation of Neural Networks Using FPGA Elements
G Horváth, F Deák
Proc. of The International Conference on Signal Processing Application and …, 1993
61993
Fluid level dependent Markov fluid models with continuous zero transition
M Balázs, G Horváth, S Kolumbán, P Kovács, M Telek
Performance Evaluation 68 (11), 1149-1161, 2011
52011
Kernel CMAC with Reduced Memory Complexity
G Horváth, K Gáti
Artificial Neural Networks–ICANN 2009, 698-707, 2009
52009
Using heuristics for the lung fields segmentation in chest radiographs
D Gados, G Horvath
11th Mediterranean Conference on Medical and Biomedical Engineering and …, 2007
52007
Algorithme rapide de codage conjoint source-canal pour un canal de transmission non-stationnaire
B Kövesi, S Saoudi, JM Boucher, G Horvath, N Naja, A El Kesri
16° Colloque sur le traitement du signal et des images, FRA, 1997, 1997
51997
Bayesian restoration of greenhouse desk temperature measurements
P Eredics, K Gati, TP Dobrowiecki, G Horváth
Intelligent Engineering Systems (INES), 2012 IEEE 16th International …, 2012
42012
Segmentation of Chest X-ray Radiographs, a New Robust Solution
Á Horváth, G Horvath
5th European Conference of the International Federation for Medical and …, 2012
42012
Improved model order estimation for nonlinear dynamic systems
L Sragner, G Horváth
Intelligent Data Acquisition and Advanced Computing Systems: Technology and …, 2003
42003
An Efficient Hardware Implementation of Feed-Forward Neural Networks*
T Szabó, G Horváth
Engineering of Intelligent Systems, 300-313, 2001
42001
Computer-aided detection of COPD using digital chest radiographs
L Nikházy, G Horváth, Á Horváth, V Müller
XII Mediterranean Conference on Medical and Biological Engineering and …, 2010
32010
FPGA implementation of the kernel CMAC
G Horvath, Z Csipak
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference …, 2004
32004
A Hybrid Intelligent System for Image Matching, Used as Preprocessing for Signature Verification
J Valyon, G Horvath
Artificial Neural Nets and Genetic Algorithms: Proceedings of the …, 2001
32001
Modelling of nonlinear dynamic systems by using neural networks
G Horvath, R Dunay
Industrial Electronics, 1996. ISIE'96., Proceedings of the IEEE …, 1996
31996
Recurrent CMAC: a powerful neural network for system identification
G Horvath, R Dunay, B Pataki
Instrumentation and Measurement Technology Conference, 1996. IMTC-96 …, 1996
31996
Using CMAC for mobile robot motion control
K Gáti, G Horváth
Adaptive and Natural Computing Algorithms, 156-166, 2011
22011
Intelligent solution for mammography image diagnosis
G Strausz, G Horváth, B Pataki, L Lasztovicza, N Székely
Proceedings of 8th International Conference on Engineering Applications of …, 2003
22003
Full-Parallel Digital Implementation for Pre-Trained Neural Networks
T Szabo, L Antoni, G Horvath, B Fehe
Proc. IEEE International Joint Conference on Neural Networks, 85-90, 2000
22000
A roundoff error analysis of the Oja's subspace rule
T Szabo, G Horváth
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE …, 1997
21997
„Some further possibilities of the application of neural networks for nonlinear dynamic system modeling”
R Duray, B Pataki, G Horváth
Proc. of the First European Congress on Fuzzy and Intelligent Technologies …, 1993
21993
Modified CMAC neural network architectures for nonlinear dynamic system modeling
R Dunay, G Horváth
Proc. Int. Conf. Artificial Neural Networks (ICANN’93), 473, 1993
21993
Kvantálási hibák FFT alapú spektrumbecsléseknél (Quantization errors in FFT based spectrum estimations), Cand. Sci
G Horváth
Thesis, Hungarian Academy of Sciences, in Hungarian, 1987
21987
Circuit arrangement for determining the characteristics of liquids and/or gases, in particular the hemoglobin content of the blood
L Cserey, G Horvath, T Szabados, S Simonkay, J Sztipanovits, P Vimlati, ...
US Patent 4,417,812, 1983
21983
An Intelligent Decision Support System for Screening Mammography
G Horváth, B Pataki, J Valyon, Z Dömötöri, N Székely, N Toth, G Takács
Proc. of the 3rd European Medical and Biological Engineering Conference EMBEC 5, 0
2
Global, Camera-Based Localization and Prediction of Future Positions in Mobile Robot Navigation
I Engedy, G Horváth
Computational Intelligence in Engineering, 61-73, 2010
12010
Cerebellar Model Arithmetic Computer
G Horváth
Wiley Encyclopedia of Computer Science and Engineering, 2009
12009
Neural networks for nonlocal hysteresis function identification and compensation
P Berenyi, G Horvath
Intelligent Signal Processing, 2003 IEEE International Symposium on, 155-160, 2003
12003
Intelligent Solution for Mammography Image Diagnosis
S Gy, G Horváth, B Pataki, L Lasztovicza, N Székely
Budapset University of Technology and Economics, 2002
12002
Neural modeling of an industrial process with noisy data
P Berényi, J Valyon, G Horváth
Engineering of Intelligent Systems, 269-280, 2001
12001
Hazai mammográfiás CAD rendszer és az elsô tesztek tapasztalatai
D Zsuzsa, KG Csongor
1
An improved wavelet-based contralateral subtraction algorithm
T Kapelner, G Orbán, G Horváth
Medical Measurements and Applications Proceedings (MeMeA), 2012 IEEE …, 2012
2012
Optimal control with reinforcement learning using reservoir computing and Gaussian Mixture
I Engedy, G Horváth
Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE …, 2012
2012
SPECIAL SECTION ON INTELLIGENT SIGNAL PROCESSING-SPECIAL SECTION PAPERS-Nonlocal Hysteresis Function Identification and Compensation With Neural Networks
P Berenyi, G Horvath, V Lampaert, J Swevers
IEEE Transactions on Instrumentation and Measurement 54 (6), 2227-2238, 2005
2005
Poster Presentations 1-Image Analysis, Computer Vision, Machine Vision, and Applications-Joint Analysis of Multiple Mammographic Views in CAD Systems for Breast Cancer Detection
M Altrichter, Z Ludanyi, G Horvath
Lecture Notes in Computer Science 3540, 760-769, 2005
2005
Higher Order CMAC and its Efficient Hardware Realization
G Horvath, T Szabo
Proc. of the International ICSC/IFAC Symposium on Neural Computation, 72-78, 1998
1998
Roundoff error analysis of the PCA networks
T Szabo, G Horvath
Instrumentation and Measurement Technology Conference, 1997. IMTC/97 …, 1997
1997
A New Distance Measure in LPC Coding: Application for Real Time Situations
B Kovesi, S Saoudi, JM Boucher, G Horvath
Fifth European Conference on Speech Communication and Technology, 1997
1997
Application of neural networks for nonlinear dynamic system modelling
R DUNAY, G HORVATH, B PATAKI
Journal on communications 44 (MAY), 2-8, 1993
1993
Coefficient quantization error in FFT-based spectrum analysis.
G Horvath
10. Triennial World Congress of the International Federation of Automatic …, 1987
1987
MICROPROCESSOR APPLICATION SYSTEM FOR INSTRUMENTATION
G RACZ, G HORVATH, E KISS, ES J. SZTIPANOVITS
Measurement for progress in science and technology: acta IMEKO 1979 …, 1980
1980
" Joint Analysis of Multiple Mammographic Views in CAD Systems for Breast Cancer Detection"(2005)
M Altrichter, Z Ludányi, G Horváth
Lecture Notes in Computer Science 3540, 760-769, 0
Improving computer aided breast cancer detection using joint analysis
M Altrichter, Z Ludányi, G Horváth
Proc. of the 3rd European Medical and Biological Engineering, 760-769, 0
Microcalcification assessment using joint analysis of mammographic
M Altrichter, G Horváth
Proceedings of the 13th PhD Mini-Symposium}, 14-15, 0
The Refinement of Microcalcification Cluster Assessment By Joint
M Altrichter, G Horváth
Lecture Notes in Computer Science, 509-516, 0
Least Squares Support Vector Machines for Data Mining
J VALYON, G HORVÁTH
EFFICIENT DIGITAL PRE-TRAINED NEURAL NETWORK IMPLEMENTATION
T Szabó, G Horváth
Mammográfiás felvételek értékelését segítô számítógépes döntéstámogató rendszerek
KG Csongor, TZSO Egyetem, BME Horváth Gábor, KÁKD Rt
CAD-rendszer fejlesztése a mellkasröntgen-felvételek elemzésére
B György, G Dániel, TL Gergely, H Gábor
NEURAL NETWORK BASED MOBILE ROBOT NAVIGATION
I ENGEDY
IMPROVING COMPUTER AIDED BREAST CANCER DETECTION USING JOINT ANALYSIS OF MULTIPLE MAMMOGRAPHIC VIEWS
M Altrichter, Z Ludányi, G Horváth
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Cikkek 1–100