Ewaryst Rafajlowicz

Orcid: 0000-0001-8469-2910

According to our database1, Ewaryst Rafajlowicz authored at least 56 papers between 1984 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Designing shape-preserving descriptors for classifying signals with application to vibrations of large mechanical structures.
Knowl. Based Syst., 2024

2023
Learning Shape-Preserving Autoencoder for the Reconstruction of Functional Data from Noisy Observations.
Proceedings of the Computational Science - ICCS 2023, 2023

Learning Bezier-Durrmeyer Type Descriptors for Classifying Curves - Preliminary Studies.
Proceedings of the Artificial Intelligence and Soft Computing, 2023

2022
Learning Functional Descriptors Based on the Bernstein Polynomials - Preliminary Studies.
Proceedings of the Artificial Intelligence and Soft Computing, 2022

2021
Classifying Functional Data from Orthogonal Projections - Model, Properties and Fast Implementation.
Proceedings of the Computational Science - ICCS 2021, 2021

Learning Shape Sensitive Descriptors for Classifying Functional Data.
Proceedings of the Artificial Intelligence and Soft Computing, 2021

2020
Classifying Image Series with a Reoccurring Concept Drift Using a Markov Chain Predictor as a Feedback.
Proceedings of the Artificial Intelligence and Soft Computing, 2020

2019
Iterative Learning of Optimal Control for Nonlinear Processes With Applications to Laser Additive Manufacturing.
IEEE Trans. Control. Syst. Technol., 2019

Classifying Image Sequences with the Markov Chain Structure and Matrix Normal Distributions.
Proceedings of the Artificial Intelligence and Soft Computing, 2019

2018
Iterative learning in optimal control of linear dynamic processes.
Int. J. Control, 2018

Classifiers for Matrix Normal Images: Derivation and Testing.
Proceedings of the Artificial Intelligence and Soft Computing, 2018

Robustness of Raw Images Classifiers Against the Class Imbalance - A Case Study.
Proceedings of the Computer Information Systems and Industrial Management, 2018

2017
Image-driven, model-free control of repetitive processes based on machine learning.
Proceedings of the 10th International Workshop on Multidimensional (nD) Systems (nDS), 2017

Camera in the control loop - methods and selected industrial applications.
Proceedings of the Trends in Advanced Intelligent Control, Optimization and Automation - Proceedings of KKA 2017, 2017

Iterative Learning of Optimal Control - Case Study of the Gantry Robot.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

Image-Driven Decision Making with Application to Control Gas Burners.
Proceedings of the Computer Information Systems and Industrial Management, 2017

2016
Iterative Learning in Repetitive Optimal Control of Linear Dynamic Processes.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

Simulations for Tuning a Laser Power Control System of the Cladding Process.
Proceedings of the Computer Information Systems and Industrial Management, 2016

2015
Massively Parallel Change Detection with Application to Visual Quality Control.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

2014
Statistical Classifier with Ordered Decisions as an Image Based Controller with Application to Gas Burners.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

2013
Control of linear extended nD systems with minimized sensitivity to parameter uncertainties.
Multidimens. Syst. Signal Process., 2013

Deployment of Sensors According to Quasi-Random and Well Distributed Sequences for Nonparametric Estimation of Spatial Means of Random Fields.
Proceedings of the System Modeling and Optimization, 2013

More Safe Optimal Input Signals for Parameter Estimation of Linear Systems Described by ODE.
Proceedings of the System Modeling and Optimization, 2013

Random Sieve Based on Projections for RBF Neural Net Structure Selection.
Proceedings of the Artificial Intelligence and Soft Computing, 2013

2012
Sampling multidimensional signals by a new class of quasi-random sequences.
Multidimens. Syst. Signal Process., 2012

Classifiers sensitive to external context - theory and applications to video sequences.
Expert Syst. J. Knowl. Eng., 2012

A modified filter SQP method as a tool for optimal control of nonlinear systems with spatio-temporal dynamics.
Int. J. Appl. Math. Comput. Sci., 2012

Dimensionality Reduction Using External Context in Pattern Recognition Problems with Ordered Labels.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

Fletcher's Filter Methodology as a Soft Selector in Evolutionary Algorithms for Constrained Optimization.
Proceedings of the Swarm and Evolutionary Computation, 2012

2011
(n+r)D systems and their control with reduced sensitivity to parametric uncertainties.
Proceedings of the 7th International Workshop on Multidimensional (nD) Systems, 2011

2010
Nonparametric sequential change-point detection by a vertically trimmed box method.
IEEE Trans. Inf. Theory, 2010

Recognition of Finite Structures with Application to Moving Objects Identification.
Proceedings of the Artificial Intelligence and Soft Computing, 2010

Pattern Recognition with Linearly Structured Labels Using Recursive Kernel Estimator.
Proceedings of the Artificial Intelligence and Soft Computing, 2010

2009
Fusion of External Context and Patterns - Learning from Video Streams.
Proceedings of the Computer Recognition Systems 3, 2009

2008
Testing Homogeneity of Coefficients in Distributed Systems With Application to Quality Monitoring.
IEEE Trans. Control. Syst. Technol., 2008

Local Detection Of Defects From Image Sequences.
Int. J. Appl. Math. Comput. Sci., 2008

Nonlinear Image Processing and Filtering: A Unified Approach Based on Vertically Weighted Regression.
Int. J. Appl. Math. Comput. Sci., 2008

MAD Loss in Pattern Recognition and RBF Learning.
Proceedings of the Artificial Intelligence and Soft Computing, 2008

Improving the Efficiency of Counting Defects by Learning RBF Nets with MAD Loss.
Proceedings of the Artificial Intelligence and Soft Computing, 2008

Equidistributed sequences along space-filling curves in sampling of images.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2006
RBF Nets in Faults Localization.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

2004
Testing (non-)existence of input-output relationships by estimating fractal dimensions.
IEEE Trans. Signal Process., 2004

Context-dependent neural nets-structures and learning.
IEEE Trans. Neural Networks, 2004

Optimization of Centers' Positions for RBF Nets with Generalized Kernels.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

2003
Postfiltering versus prefiltering for signal recovery from noisy samples.
IEEE Trans. Inf. Theory, 2003

2002
Non-Linear Local Harmonic Filters For Edge-Preserving Image Denoising.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

2000
Repeated least squares with inversion and its application in identifying linear distributed-parameter systems.
Int. J. Syst. Sci., 2000

1997
Moving average restoration of bandlimited signals from noisy observations.
IEEE Trans. Signal Process., 1997

Consistency of orthogonal series density estimators based on grouped observations.
IEEE Trans. Inf. Theory, 1997

1996
Linear systems identification from random threshold binary data.
IEEE Trans. Signal Process., 1996

Exponential weighting algorithms for reconstruction of bandlimited signals.
IEEE Trans. Signal Process., 1996

System identification from cheap, qualitative output observations.
IEEE Trans. Autom. Control., 1996

1994
On restoring band-limited signals.
IEEE Trans. Inf. Theory, 1994

Efficient algorithm for a class of least squares estimation problems.
IEEE Trans. Autom. Control., 1994

1986
Sequential identification algorithm and controller choice for a certain class of distributed systems.
Kybernetika, 1986

1984
Optimization of measurements for state estimation in parabolic distributed systems.
Kybernetika, 1984


  Loading...