Ivo Bukovsky

Orcid: 0000-0002-7715-2841

According to our database1, Ivo Bukovsky authored at least 47 papers between 2007 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Intelligent and Energy-Efficient Approach for Detecting Patient Locations.
Proceedings of the IEEE International Conference on Consumer Electronics, 2024

2023
Comments on "Convergence Analysis of Adaptive Exponential Functional Link Network".
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Letter on Convergence of In-Parameter-Linear Nonlinear Neural Architectures With Gradient Learnings.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Living Lab Long-Term Sustainability in Hybrid Access Positive Energy Districts - A Prosumager Smart Fog Computing Perspective.
IEEE Internet Things J., 2023

How Different Data Sources Impact Deep Learning Performance in COVID-19 Diagnosis using Chest X-ray Images.
Proceedings of the 14th IIAI International Congress on Advanced Applied Informatics, 2023

2022
A Systematic Mapping Study of Predictive Maintenance in SMEs.
IEEE Access, 2022

Learning Entropy: On Shannon vs. Machine-Learning-Based Information in Time Series.
Proceedings of the Database and Expert Systems Applications - DEXA 2022 Workshops, 2022

2021
Deterministic behavior of temperature field in turboprop engine via shallow neural networks.
Neural Comput. Appl., 2021

Novelty detection-based approach for Alzheimer's disease and mild cognitive impairment diagnosis from EEG.
Medical Biol. Eng. Comput., 2021

2020
A Deep Learning Aided Drowning Diagnosis for Forensic Investigations using Post-Mortem Lung CT Images.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Human ability enhancement for reading mammographic masses by a deep learning technique.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Learning Entropy as a Learning-Based 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 Gradient-Descent Adaptation of Higher Order Neural Units.
IEEE Trans. Neural Networks Learn. 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 Discrete-Time 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 multiple-degree-of-freedom adaptive control with HONUs.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

V-shaped 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 X-ray 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 Solid-Fuel 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
Neural Network Approach to Railway Stand Lateral Skew Control.
CoRR, 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 Editorial-Board Changes at TNN.
IEEE Trans. Neural Networks, 2011

Potentials of Quadratic Neural Unit for Applications.
Int. J. Softw. Sci. Comput. Intell., 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.
Int. J. Cogn. Informatics Nat. Intell., 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


  Loading...