Ivo Bukovsky
According to our database^{1},
Ivo Bukovsky
authored at least 35 papers
between 2007 and 2019.
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Bibliography
2019
Learning Entropy as a LearningBased Information Concept.
Entropy, 2019
2018
Concept drift robust adaptive novelty detection for data streams.
Neurocomputing, 2018
An Input to State Stability Approach for Evaluation of Nonlinear Control Loops with Linear Plant Model.
Proceedings of the Cybernetics and Algorithms in Intelligent Systems, 2018
2017
An Approach to Stable GradientDescent Adaptation of Higher Order Neural Units.
IEEE Trans. Neural Netw. Learning Syst., 2017
Higher Order Neural Units for Efficient Adaptive Control of Weakly Nonlinear Systems.
Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017
Framework for DiscreteTime Model Reference Adaptive Control of Weakly Nonlinear Systems with HONUs.
Proceedings of the Computational Intelligence  9th International Joint Conference, 2017
Influence of type and level of noise on the performance of an adaptive novelty detector.
Proceedings of the 16th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2017
2016
Feature selection via competitive levy flights.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Online data centering modifications for adaptive filtering with NLMS algorithm.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Study of Learning Entropy for onset detection of epileptic seizures in EEG time series.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Model reference multipledegreeoffreedom adaptive control with HONUs.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Vshaped neurons in hidden layer of ANN universal approximator without flat domains.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
On the Intrinsic Relation of Linear Dynamical Systems and Higher Order Neural Units.
Proceedings of the Automation Control Theory Perspectives in Intelligent Systems, 2016
2015
Tumor motion tracking using kV/MV Xray fluoroscopy for adaptive radiation therapy.
Proceedings of the 2015 International Workshop on Computational Intelligence for Multimedia Understanding, 2015
Adaptive classification of EEG for dementia diagnosis.
Proceedings of the 2015 International Workshop on Computational Intelligence for Multimedia Understanding, 2015
Adaptive polynomial filters with individual learning rates for computationally efficient lung tumor motion prediction.
Proceedings of the 2015 International Workshop on Computational Intelligence for Multimedia Understanding, 2015
Case Study of Learning Entropy for Adaptive Novelty Detection in SolidFuel Combustion Control.
Proceedings of the Intelligent Systems in Cybernetics and Automation Theory, 2015
Laboratory Systems Control with Adaptively Tuned Higher Order Neural Units.
Proceedings of the Intelligent Systems in Cybernetics and Automation Theory, 2015
2014
Application of neural networks to evaluate experimental data of galvanic zincing.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Study of Learning Entropy for Novelty Detection in lung tumor motion prediction for target tracking radiation therapy.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Neural network approach to hoist deceleration control.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
Learning Entropy: Multiscale Measure for Incremental Learning.
Entropy, 2013
2012
Cognitive and Neural Aspects in Robotics with Applications 2011.
J. Robotics, 2012
2011
Editorial: One Year as EiC, and EditorialBoard Changes at TNN.
IEEE Trans. Neural Networks, 2011
Potentials of Quadratic Neural Unit for Applications.
IJSSCI, 2011
Intelligent sensing of biomedical signals  Lung tumor motion prediction for accurate radiotherapy.
Proceedings of the 2011 IEEE Workshop On Merging Fields Of Computational Intelligence And Sensor Technology, 2011
Multiscale Analysis of False Neighbors for state space reconstruction of complicated systems.
Proceedings of the 2011 IEEE Workshop On Merging Fields Of Computational Intelligence And Sensor Technology, 2011
2010
How Can Brain Learn to Control a Nonholonomic System?
J. Robotics, 2010
Cognitive and Neural Aspects in Robotics with Applications.
J. Robotics, 2010
Quadratic neural unit and its network in validation of process data of steam turbine loop and energetic boiler.
Proceedings of the International Joint Conference on Neural Networks, 2010
Testing potentials of dynamic quadratic neural unit for prediction of lung motion during respiration for tracking radiation therapy.
Proceedings of the International Joint Conference on Neural Networks, 2010
Quadratic neural unit is a good compromise between linear models and neural networks for industrial applications.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010
2008
Foundations of Nonconventional Neural Units and their Classification.
IJCINI, 2008
Adaptive evaluation of complex time series using nonconventional neural units.
Proceedings of the Seventh IEEE International Conference on Cognitive Informatics, 2008
2007
Foundation of Notation and Classification of Nonconventional Static and Dynamic Neural Units.
Proceedings of the Six IEEE International Conference on Cognitive Informatics, 2007