Ivo Bukovsky - RankMe

54 papers B 10C 5Journal 21Unranked 18

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