Rudolf JAKSA
@matsuko.com
MATSUKO
RESEARCH, TEACHING, or OTHER INTERESTS
Artificial Intelligence
Scopus Publications
- Robotic attention manager using fuzzy controller with fractal analysis
Peter Polak, Rudolf Jaksa, Jan Vascak
2016 IEEE International Conference on Systems Man and Cybernetics Smc 2016 Conference Proceedings, 2017
This paper is focused on the application of fractal analysis in the attention management of humanoid robot. We designed a fuzzy controller to combine the face detection, movement detection and the fractal dimension signals to control the head movement of robot Nao. Also, the gaze problem is addressed by the controller. Implementation details are included in the paper, including configuration parameters, which we found optimal according to subjective analysis and possibilities of current hardware. We found the fuzzy controller to be advantageous for implementation of attention manager because of smoothing of the movement of robot when compared to the simple rule based implementation, and also because the fuzzy controller implementation of manager is more clear than a naive if-then heuristics code. We also found the fractal dimension to be useful additional signal for attention management of robot, which can be computed in near real-time on current hardware and static input images. - Local prediction of precipitation based on neural network
Rudolf Jakša, Martina Zeleňáková, Juraj Koščák, Helena Hlavatá
10th International Conference on Environmental Engineering Icee 2017, 2017
The paper is focused on analysis of local neural network model of precipitation. We use basic multilayer perceptron neural network with the time-window on input data to predict the precipitation. We predict the precipitation in the next day from the local meteorological data from past days. Data from the past 60 years were used to train the predictor. Obtained prediction model is specific for given area of Košice City in Slovakia, as the prediction is based on the statistics of the weather in given area. This precipitation predictor is multiple-input-single-output architecture with a single value per day resolution on output. Obtained results show that good local temperature prediction accuracy is possible with chosen setup, but it is worse for the precipitation prediction. Also the training requirements of precipitation predictor seem to be significantly higher then for the temperature predictor. Obtained prediction results can be used for applications based on local meteorological station data, although they are not as accurate as the state of art agency predictions based on satellite data. In the paper we will analyze design of the precipitation predictor based on existing design of the temperature predictor and provide the reader with recommended setup of such predictor for application with his/her local precipitation data. - Neural network based ball tracking for robot nao
Denis Vere, Rudolf Jaka, Jakub Hvizdo
Proceedings 2016 International Conference on Intelligent Networking and Collaborative Systems IEEE Incos 2016, 2016
This paper is focused on the problem of tracking an object by the head movement of robot with two cameras simultaneously, one robot camera and one fixed external camera. The goal of using external camera is to test, how it can aid the head camera of robot when the object moves out of its field of view. The setup of system is focused on comparison of robot with and without additional camera. The tracked object is a simple pink ball and the tracking mechanism is a simple multilayer perceptron with the backpropagation algorithm. The mechanism of tracking is not to shift the coordinates of moving object on fixed scene, but actually to turn the head of robot to have the object in the center of scene, like with a human tracking some object. In the paper we provide details of setup of working system, with results and parameters, which can be used as a starting point for similar experiments. Actually, the training set construction is important for this type of robotic tracking, please see details in the paper. The system is working. We believe, it is easy to repeat our results, and the effect of added camera can be demonstrated. - Stochastic weights and neurons selection in neural networks for weather prediction
Rastislav Rusnak, Rudolf Jaksa
Sami 2016 IEEE 14th International Symposium on Applied Machine Intelligence and Informatics Proceedings, 2016
This paper deals with stochastic weight update methods for neural networks learning. We will study two methods, stochastic weights selection and stochastic neurons selection. These methods have to allow better parallelization of the backpropagation algorithm, although in this paper we will use only the conventional serial implementation. We will use meteorological data for experimentation with neural networks based weather prediction. We will show that proposed methods can be used to replace regular backpropagation, but in the serial implementation they are not efficient. - Local weather prediction system for a heating plant using cognitive approaches
Ján Vaščák, Rudolf Jakša, Juraj Koščák, Ján Adamčák
Computers in Industry, 2015 - Stochastic weight update for recurrent networks
Juraj Koscak, Rudolf Jaksa, Peter Sincak
2014 Joint 7th International Conference on Soft Computing and Intelligent Systems Scis 2014 and 15th International Symposium on Advanced Intelligent Systems Isis 2014, 2014
Stochastic weight update is a variant of error back-propagation algorithm for learning of artificial neural networks. It allows for efficient topology-independent implementation of backpropagation through time for recurrent networks. In stochastic weight update scenario, constant number of weights and neurons is randomly selected and updated. This is in contrast to the classical ordered update, where all weights/neurons are always updated. In this paper we will study performance of stochastic weight update on recurrent neural networks using concept of feedforward network with added recurrent neurons. - Neural networks based localweather prediction system
Ján Adamčák, Rudolf Jakša, Ján Liguš
Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing Anniip 2014 in Conjunction with Icinco 2014, 2014
In this paper we describe how to build a fully autonomous system for collection, prediction and presentation of single-position meteorological data the local weather prediction system. By employing nonlinear statistics with neural network predictor on meteorological time-series data we were able to achieve good results for the one-day weather prediction. This novel local statistical approach to weather prediction is different compare to standard methods which are based on the air mass movement modelling. Main objective of this paper is to describe whole system for local weather prediction including technology, software, methods and parameters, and also experimental results. - Metric numbers for communication of numerical data in computational cybernetics
Rudolf Jaksa
Iccc 2013 IEEE 9th International Conference on Computational Cybernetics Proceedings, 2013
This paper proposes the standard specification of metric numbers and is intended to discuss the topic. The numbers combined with metric prefixes like the 2k for the year, or 2k2 for resistors inscription are popularly used. However, there exists no standard to guide the use of such numbers, and typical precision is limited to few digits, as in the E24 series used for electronic parts. Computational methods rely heavily on the numerical data, as opposed to the rest of computer science or artificial intelligence, which are often built around textual data. To communicate numerical data, either with human, or between programs, several numbers representations are available. In this paper we want to show, that proposed metric numbers are a useful addition to the computational cybernetics paradigm. We will discuss and try to resolve problems related to the implementation of metric numbers system. Among these issues, we intend to standardize the suffix notation, as is used in the 2k2 resistor, and the plus/minus notation for sparse numbers, like in the 2M+1. We will also discuss and provide the reference implementation in the end. - Influence of number of neurons in time delay recurrent networks with stochastic weight update on backpropagation through time
Juraj Koščák, Rudolf Jakša, Peter Sinčák
Advances in Intelligent Systems and Computing, 2013 - Daily Temperature Profile Prediction for the District Heating Application
Juraj Koščák, Rudolf Jakša, Rudolf Sepeši, Peter Sinčák
Advances in Intelligent Systems and Computing, 2013 - Interactive evolution of graphical user interface with GTK toolkit
2011 2nd International Conference on Cognitive Infocommunications Coginfocom 2011, 2011 - Application of AI in cardiology
P. Smolar, P. Sincak, R. Jaksa
Sami 2010 8th International Symposium on Applied Machine Intelligence and Informatics Proceedings, 2010 - Stochastic weight update in the backpropagation algorithm on feed-forward neural networks
Juraj Koscak, Rudolf Jaksa, Peter Sincak
Proceedings of the International Joint Conference on Neural Networks, 2010 - Clustering of users inputs in multi-user interactive evolutionary font design
Miron Kuzma, Rudolf Jaksa, Peter Sincak
Proceedings 2009 5th International Symposium on Applied Computational Intelligence and Informatics Saci 2009, 2009 - Computational intelligence in font design
9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics Cinti 2008, 2008 - Reduction of visual information in neural network learning process visualization
Matus Uzak, Igor Vertal', Rudolf Jaksa, Peter Sincak
Sami 2008 6th International Symposium on Applied Machine Intelligence and Informatics Proceedings, 2008 - Reduction of visual information in neural network learning visualization
Matúš Užák, Rudolf Jakša, Peter Sinčák
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2008 - Simultaneous gradient and evolutionary neural network weights adaptation methods
Pavol Malinak, Rudolf Jaksa
2007 IEEE Congress on Evolutionary Computation CEC 2007, 2007 - Framework for the interactive learning of artificial neural networks
Matúš Užák, Rudolf Jakša
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2006 - Automatic modularization of ANNS
Neural Network World, 2003 - Tuning of image parameters by interactive evolutionary computation
Proceedings of the IEEE International Conference on Systems Man and Cybernetics, 2003
RECENT SCHOLAR PUBLICATIONS
- LOCAL PREDICTION OF PRECIPITATION BASED ON NEURAL NETWORK
R Jaksa, M Zelenakova, J Koscak, H Hlavata
10th International Conference „Environmental Engineering “ , 2017
2017 - Local prediction of precipitation based on neural network
R Jakša, M Zeleňáková, J Koščák, H Hlavatá
Vilnius Gediminas Technical University , 2017
2017
Citations: 1 - Robotic attention manager using fuzzy controller with fractal analysis
P Polák, R Jakša, J Vaščák
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC … , 2016
2016
Citations: 2 - Neural Network Based Ball Tracking for Robot Nao
D Veres, R Jaksa, J Hvizdos
2016 International Conference on Intelligent Networking and Collaborative … , 2016
2016
Citations: 1 - Stochastic weights and neurons selection in neural networks for weather prediction
R Rusnák, R Jakša
2016 IEEE 14th International Symposium on Applied Machine Intelligence and … , 2016
2016 - Local weather prediction system for a heating plant using cognitive approaches
J Vaščák, R Jakša, J Koščák, J Adamčák
Computers in Industry 74, 110-118 , 2015
2015
Citations: 10 - Emergent Trends in Robotics and Intelligent Systems
P Sinčák, P Hartono, M Virčíková, J Vaščák, R Jakša
Advances in Intelligent Systems and Computing , 2015
2015
Citations: 5 - Stochastic weight update for recurrent networks
J Koščák, R Jakša, P Sinčák
2014 Joint 7th International Conference on Soft Computing and Intelligent … , 2014
2014
Citations: 1 - Emergent Trends in Robotics and Intelligent Systems: Where is the Role of Intelligent Technologies in the Next Generation of Robots?
P Sinck, P Hartono, M Virckov, J Vasck, R Jaksa
Springer Publishing Company, Incorporated , 2014
2014 - Neural networks based local weather prediction system
J Adamčák, R Jakša, J Liguš
International Workshop on Artificial Neural Networks and Intelligent … , 2014
2014
Citations: 2 - Metric numbers for communication of numerical data in computational cybernetics
R Jakša
2013 IEEE 9th International Conference on Computational Cybernetics (ICCC … , 2013
2013 - Metric numbers for communication of numerical data in computational cybernetics
R Jaksa
2013 IEEE 9th International Conference on Computational Cybernetics (ICCC), 73 , 2013
2013 - Influence of number of neurons in time delay recurrent networks with stochastic weight update on backpropagation through time
J Koščák, R Jakša, P Sinčák
Nostradamus: Modern Methods of Prediction, Modeling and Analysis of … , 2013
2013
Citations: 2 - Daily temperature profile prediction for the district heating application
J Koščák, R Jakša, R Sepeši, P Sinčák
Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems, 363-371 , 2013
2013
Citations: 3 - Prediction of temperature daily profile by stochastic update of backpropagation through time algorithm
J Koscak, R Jaksa, P Sincák
Journal of Mathematics and System Science 2 (4) , 2012
2012
Citations: 11 - Stochastic Weight Update in Neural Networks
J Koscak, R Jaksa, P Sincák
Saarbrucken: Lambert Academic Publishing , 2012
2012
Citations: 1 - Interactive evolution of graphical user interface with GTK toolkit
M Ilavský, R Jakša
2011 2nd International Conference on Cognitive Infocommunications … , 2011
2011
Citations: 3 - Stochastic weight update in the backpropagation algorithm on feed-forward neural networks
J Koščak, R Jakša, P Sinčák
The 2010 international joint conference on neural networks (IJCNN), 1-4 , 2010
2010
Citations: 16 - Application of AI in Cardiology
P Smolar, P Sinčák, R Jakša
2010 IEEE 8th International Symposium on Applied Machine Intelligence and … , 2010
2010
Citations: 2 - Clustering of users inputs in multi-user interactive evolutionary font design
M Kuzma, R Jaksa, P Sincak
2009 5th International Symposium on Applied Computational Intelligence and … , 2009
2009
Citations: 4
MOST CITED SCHOLAR PUBLICATIONS
- Tuning of image parameters by interactive evolutionary computation
R Jakša, H Takagi
Proc. of 2003 IEEE International Conference on Systems, Man & Cybernetics … , 2003
2003
Citations: 21 - Stochastic weight update in the backpropagation algorithm on feed-forward neural networks
J Koščak, R Jakša, P Sinčák
The 2010 international joint conference on neural networks (IJCNN), 1-4 , 2010
2010
Citations: 16 - Simultaneous gradient and evolutionary neural network weights adaptation methods
P Malinak, R Jaksa
2007 IEEE Congress on Evolutionary Computation, 2665-2671 , 2007
2007
Citations: 13 - Prediction of temperature daily profile by stochastic update of backpropagation through time algorithm
J Koscak, R Jaksa, P Sincák
Journal of Mathematics and System Science 2 (4) , 2012
2012
Citations: 11 - Image Filter Design with Interactive Evolutionary Computation
R Jakša, H Takagi, S Nakano
Proc. of the IEEE International Conference on Computational Cybernetics … , 2003
2003
Citations: 11 - Local weather prediction system for a heating plant using cognitive approaches
J Vaščák, R Jakša, J Koščák, J Adamčák
Computers in Industry 74, 110-118 , 2015
2015
Citations: 10 - Reinforcement Learning Based on Backpropagation for Mobile Robot Navigation
R Jaksa, P Majernik, P Sincak
Proceedings of Computational Intelligence for Modelling, Control and … , 1999
1999
Citations: 8 - Backpropagation in supervised and reinforcement learning for mobile robot control
R Jakša, P Sinčák, P Majernik
Journal of Electrical Engineering 1999 , 1999
1999
Citations: 8 - Weather forecast using Neural Networks
J KOŠCAK, R JAKŠA, R SEPEŠI, P SINCÁK
9th Scientific Conference of Young Researchers , 2009
2009
Citations: 6 - Computational intelligence in font design
M Kuzma, R Jakša, P Sinčák
Computational Intelligence and Informatics: Proceedings of the 9th … , 2008
2008
Citations: 6 - Emergent Trends in Robotics and Intelligent Systems
P Sinčák, P Hartono, M Virčíková, J Vaščák, R Jakša
Advances in Intelligent Systems and Computing , 2015
2015
Citations: 5 - Clustering of users inputs in multi-user interactive evolutionary font design
M Kuzma, R Jaksa, P Sincak
2009 5th International Symposium on Applied Computational Intelligence and … , 2009
2009
Citations: 4 - Framework for the interactive learning of artificial neural networks
M Užák, R Jakša
International Conference on Artificial Neural Networks, 103-112 , 2006
2006
Citations: 4 - Reduction of Human Fatigue in IEC with Neural Networks for Graphic Banner Design
M Gajdoš
Master’s Thesis, Košice, Technical University of Košice, Faculty of … , 2006
2006
Citations: 4 - Analysis of Medical Data using Interactive Evolutionary Computation
M Neupauer
Master’s Thesis, Košice, Technical University of Košice, Faculty of … , 2006
2006
Citations: 4 - Large Adaptive Critics and Mobile Robotics
R Jaksa, P Sinc
ERCIM News , 2000
2000
Citations: 4 - Daily temperature profile prediction for the district heating application
J Koščák, R Jakša, R Sepeši, P Sinčák
Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems, 363-371 , 2013
2013
Citations: 3 - Interactive evolution of graphical user interface with GTK toolkit
M Ilavský, R Jakša
2011 2nd International Conference on Cognitive Infocommunications … , 2011
2011
Citations: 3 - Visualization and interaction in the process of neural network learning
M Uzák, R Jakša
Master’s thesis, Technical university of Košice , 2005
2005
Citations: 3 - Analysis and Evaluation for Interactive Evolutionary Computation-Based Image Processing
R Jaksa, H Takagi
MPS シンポジウム論文集: 進化的計算シンポジウム 2003, 243-249 , 2003
2003
Citations: 3
