Ivo Bukovsky

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 26

Top Topics

Adaptive Control

Nonlinear Systems

Radiation Therapy

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Pratik Goswami, Rudolf Vohnout, Amrit Mukherjee, Ivo Bukovsky
Intelligent and Energy-Efficient Approach for Detecting Patient Locations. ICCE (2024)
Ivo Bukovsky, Gejza Dohnal, Noriyasu Homma
Comments on "Convergence Analysis of Adaptive Exponential Functional Link Network". IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Zhang Zhang, Xiaoyong Zhang, Kei Ichiji, Ivo Bukovsky, Shuo-Yan Chou, Noriyasu Homma
How Different Data Sources Impact Deep Learning Performance in COVID-19 Diagnosis using Chest X-ray Images. IIAI-AAI (2023)
Rudolf Vohnout, Ivo Bukovsky, Shuo-Yan Chou, Jakub Geyer, Ondrej Budik, Rohit Sharma, Milos Prokýsek, Tomás Horváth, Annemie Wyckmans
Living Lab Long-Term Sustainability in Hybrid Access Positive Energy Districts - A Prosumager Smart Fog Computing Perspective. IEEE Internet Things J. 10 (21) (2023)
Ivo Bukovsky, Gejza Dohnal, Peter Mark Benes, Kei Ichiji, Noriyasu Homma
Letter on Convergence of In-Parameter-Linear Nonlinear Neural Architectures With Gradient Learnings. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Maqbool Khan, Arshad Ahmad, Florian Sobieczky, Mario Pichler, Bernhard Alois Moser, Ivo Bukovsky
A Systematic Mapping Study of Predictive Maintenance in SMEs. IEEE Access 10 (2022)
Ivo Bukovsky, Ondrej Budik
Learning Entropy: On Shannon vs. Machine-Learning-Based Information in Time Series. DEXA Workshops (2022)
Ivo Bukovsky, Gejza Dohnal, Peter Mark Benes, Kei Ichiji, Noriyasu Homma
A Letter on Convergence of In-Parameter-Linear Nonlinear Neural Architectures with Gradient Learnings. CoRR (2021)
Matous Cejnek, Oldrich Vysata, Martin Valis, Ivo Bukovsky
Novelty detection-based approach for Alzheimer's disease and mild cognitive impairment diagnosis from EEG. Medical Biol. Eng. Comput. 59 (11) (2021)
Ivo Bukovsky
Deterministic behavior of temperature field in turboprop engine via shallow neural networks. Neural Comput. Appl. 33 (19) (2021)
Noriyasu Homma, Xiaoyong Zhang, Amber Qureshi, Takuya Konno, Yusuke Kawasumi, Akihito Usui, Masato Funayama, Ivo Bukovsky, Kei Ichiji, Norihiro Sugita, Makoto Yoshizawa
A Deep Learning Aided Drowning Diagnosis for Forensic Investigations using Post-Mortem Lung CT Images. EMBC (2020)
Noriyasu Homma, Kyohei Noro, Xiaoyong Zhang, Yutaro Kon, Kei Ichiji, Ivo Bukovsky, Akiko Sato, Naoko Mori
Human ability enhancement for reading mammographic masses by a deep learning technique. BIBM (2020)
Ivo Bukovsky, Witold Kinsner, Noriyasu Homma
Learning Entropy as a Learning-Based Information Concept. Entropy 21 (2) (2019)
Matous Cejnek, Ivo Bukovsky
Concept drift robust adaptive novelty detection for data streams. Neurocomputing 309 (2018)
Peter Benes, Ivo Bukovsky
An Input to State Stability Approach for Evaluation of Nonlinear Control Loops with Linear Plant Model. CSOC (3) (2018)
Peter Mark Benes, Ivo Bukovsky, Martin Vesely, Jan Vorácek, Kei Ichiji, Noriyasu Homma
Framework for Discrete-Time Model Reference Adaptive Control of Weakly Nonlinear Systems with HONUs. IJCCI (Selected Papers) (2017)
Ivo Bukovsky, Noriyasu Homma
An Approach to Stable Gradient-Descent Adaptation of Higher Order Neural Units. IEEE Trans. Neural Networks Learn. Syst. 28 (9) (2017)
Matous Cejnek, Ivo Bukovsky
Influence of type and level of noise on the performance of an adaptive novelty detector. IEEE ICCI*CC (2017)
Ivo Bukovsky, Jan Vorácek, Kei Ichiji, Noriyasu Homma
Higher Order Neural Units for Efficient Adaptive Control of Weakly Nonlinear Systems. IJCCI (2017)
Matej Mojzes, Martin Klimt, Jaromír Kukal, Ivo Bukovsky, Jan Vrba, Jan Pitel
Feature selection via competitive levy flights. IJCNN (2016)
Josef Bostik, Martin Klimt, Matej Mojzes, Jaromír Kukal, Ivo Bukovsky, Matous Cejnek
V-shaped neurons in hidden layer of ANN universal approximator without flat domains. IJCNN (2016)
Peter Benes, Ivo Bukovsky
On the Intrinsic Relation of Linear Dynamical Systems and Higher Order Neural Units. CSOC (3) (2016)
Ivo Bukovsky, Noriyasu Homma
An Approach to Stable Gradient Descent Adaptation of Higher-Order Neural Units. CoRR (2016)
Matous Cejnek, Ivo Bukovsky
Online data centering modifications for adaptive filtering with NLMS algorithm. IJCNN (2016)
Ivo Bukovsky, Peter Benes, Martin Vesely, Jan Pitel, Madan M. Gupta
Model reference multiple-degree-of-freedom adaptive control with HONUs. IJCNN (2016)
Ivo Bukovsky, Matous Cejnek, Jan Vrba, Noriyasu Homma
Study of Learning Entropy for onset detection of epileptic seizures in EEG time series. IJCNN (2016)
Matous Cejnek, Ivo Bukovsky, Noriyasu Homma, Ondrej Liska
Adaptive polynomial filters with individual learning rates for computationally efficient lung tumor motion prediction. IWCIM (2015)
Ivo Bukovsky, Cyril Oswald
Case Study of Learning Entropy for Adaptive Novelty Detection in Solid-Fuel Combustion Control. CSOC (2) (2015)
Matous Cejnek, Ivo Bukovsky, Oldrich Vysata
Adaptive classification of EEG for dementia diagnosis. IWCIM (2015)
Ivo Bukovsky, Peter Benes, Matous Slama
Laboratory Systems Control with Adaptively Tuned Higher Order Neural Units. CSOC (2) (2015)
Xiaoyong Zhang, Noriyasu Homma, Kei Ichiji, Makoto Abe, Norihiro Sugita, Ivo Bukovsky, Yoshihiro Takai, Makoto Yoshizawa
Tumor motion tracking using kV/MV X-ray fluoroscopy for adaptive radiation therapy. IWCIM (2015)
Peter Michal, Jan Pitel, Alena Vagaská, Ivo Bukovsky
Application of neural networks to evaluate experimental data of galvanic zincing. IJCNN (2014)
Peter Mark Benes, Ivo Bukovsky, Matous Cejnek, Jan Kalivoda
Neural Network Approach to Railway Stand Lateral Skew Control. CoRR (2014)
Ivo Bukovsky, Noriyasu Homma, Matous Cejnek, Kei Ichiji
Study of Learning Entropy for Novelty Detection in lung tumor motion prediction for target tracking radiation therapy. IJCNN (2014)
Peter Benes, Ivo Bukovsky
Neural network approach to hoist deceleration control. IJCNN (2014)
Ivo Bukovsky
Learning Entropy: Multiscale Measure for Incremental Learning. Entropy 15 (10) (2013)
Madan M. Gupta, Ivo Bukovsky, Noriyasu Homma, Zeng-Guang Hou, Ashu M. G. Solo
Cognitive and Neural Aspects in Robotics with Applications 2011. J. Robotics 2012 (2012)
Ricardo Rodríguez Jorge, Ivo Bukovsky, Noriyasu Homma
Potentials of Quadratic Neural Unit for Applications. Int. J. Softw. Sci. Comput. Intell. 3 (3) (2011)
Ivo Bukovsky, Witold Kinsner, Vladimir Maly, Karel Krehlik
Multiscale Analysis of False Neighbors for state space reconstruction of complicated systems. CompSens (2011)
Kei Ichiji, Noriyasu Homma, Ivo Bukovsky, Makoto Yoshizawa
Intelligent sensing of biomedical signals - Lung tumor motion prediction for accurate radiotherapy. CompSens (2011)
Marco Baglietto, Lubica Benusková, Ivo Bukovsky, Tianping Chen, Tom Heskes, Kazushi Ikeda, Fakhri Karray, Rhee Man Kil, Robert Legenstein, Jinhu Lu, Yunqian Ma, Malik Magdon-Ismail, Michael G. Paulin, Robi Polikar, Danil V. Prokhorov, Marco A. Wiering, Vicente Zarzoso
Editorial: One Year as EiC, and Editorial-Board Changes at TNN. IEEE Trans. Neural Networks 22 (1) (2011)
Ivo Bukovsky, Kei Ichiji, Noriyasu Homma, Makoto Yoshizawa, Ricardo Rodríguez Jorge
Testing potentials of dynamic quadratic neural unit for prediction of lung motion during respiration for tracking radiation therapy. IJCNN (2010)
Ivo Bukovsky, Noriyasu Homma, L. Smetana, Ricardo Rodríguez Jorge, M. Mironovova, S. Vrana
Quadratic neural unit is a good compromise between linear models and neural networks for industrial applications. IEEE ICCI (2010)
Noriyasu Homma, Shinpei Kato, Takakuni Goto, Ivo Bukovsky, Ryuta Kawashima, Makoto Yoshizawa
How Can Brain Learn to Control a Nonholonomic System? J. Robotics 2010 (2010)
Ivo Bukovsky, Martin Lepold, Jirí Bíla
Quadratic neural unit and its network in validation of process data of steam turbine loop and energetic boiler. IJCNN (2010)
Madan M. Gupta, Noriyasu Homma, Zeng-Guang Hou, Ivo Bukovsky
Cognitive and Neural Aspects in Robotics with Applications. J. Robotics 2010 (2010)
Ivo Bukovsky, Jirí Bíla
Adaptive evaluation of complex time series using nonconventional neural units. IEEE ICCI (2008)
Ivo Bukovsky, Zeng-Guang Hou, Jirí Bíla, Madan M. Gupta
Foundations of Nonconventional Neural Units and their Classification. Int. J. Cogn. Informatics Nat. Intell. 2 (4) (2008)
Ivo Bukovsky, Zeng-Guang Hou, Jirí Bíla, Madan M. Gupta
Foundation of Notation and Classification of Nonconventional Static and Dynamic Neural Units. IEEE ICCI (2007)