Józef Korbicz

Orcid: 0000-0001-8688-3497

According to our database1, Józef Korbicz authored at least 65 papers between 1985 and 2023.

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

Timeline

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Bibliography

2023
Compatible-domain Transfer Learning for Breast Cancer Classification with Limited Annotated Data.
Comput. Biol. Medicine, March, 2023

A Multiple Actuator and Sensor Fault Estimation for Dynamic Systems.
Proceedings of the Advanced, Contemporary Control, 2023

2022
Classical Computer Assisted Analysis of Small Multiqudit Systems.
IEEE Access, 2022

2021
Breast cancer nuclei segmentation and classification based on a deep learning approach.
Int. J. Appl. Math. Comput. Sci., 2021

2020
Cell Nuclei Segmentation in Cytological Images Using Convolutional Neural Network and Seeded Watershed Algorithm.
J. Digit. Imaging, 2020

Multivariate Distribution Model for Financial Risks Management.
Proceedings of the 9th International Conference "Information Control Systems & Technologies", 2020

2019
Sensor-Based Weightlifting Workout Assisting System Design and Its Practical Implementation.
J. Sensors, 2019

Two-Stage Instrumental Variables Identification of Polynomial Wiener Systems with Invertible Nonlinearities.
Int. J. Appl. Math. Comput. Sci., 2019

Breast Cancer Computer-Aided Diagnosis System Using k-NN Algorithm Based on Hausdorff Distance.
Proceedings of the Current Trends in Biomedical Engineering and Bioimages Analysis, 2019

Refinement of Convolutional Neural Network Based Cell Nuclei Detection Using Bayesian Inference.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Stochastic Geometry for Automatic Assessment of Ki-67 Index in Breast Cancer Preparations.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018

Cell Nuclei Segmentation Using Marker-Controlled Watershed and Bayesian Object Recognition.
Proceedings of the Information Technology in Biomedicine, 2018

Linear Parameter-Varying Two Rotor Aero-Dynamical System Modelling with State-Space Neural Network.
Proceedings of the Artificial Intelligence and Soft Computing, 2018

Nuclei Detection in Cytological Images Using Convolutional Neural Network and Ellipse Fitting Algorithm.
Proceedings of the Artificial Intelligence and Soft Computing, 2018

2017
Combined estimation of actuator and sensor faults for non-linear dynamic systems.
Proceedings of the 22nd International Conference on Methods and Models in Automation and Robotics, 2017

Using Toboggan Segmentation in Detection of Centers and Radius of Cell Nuclei.
Proceedings of the Image Processing and Communications Challenges 9, 2017

Nuclei Recognition Using Convolutional Neural Network and Hough Transform.
Proceedings of the Advanced Solutions in Diagnostics and Fault Tolerant Control, 2017

Nuclei Recognition Using Iterated Conditional Modes Approach.
Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, 2017

2016
A quadratic boundedness approach to adaptive simultaneous sensor and actuator fault estimation.
Proceedings of the 21st International Conference on Methods and Models in Automation and Robotics, 2016

Towards a practical reachability test for dynamic systems under process faults.
Proceedings of the 21st International Conference on Methods and Models in Automation and Robotics, 2016

Combining Image Thresholding and Fast Marching for Nuclei Extraction in Microscopic Images.
Proceedings of the Image Processing and Communications Challenges 8, 2016

2015
Towards Robust Neural-Network-Based Sensor and Actuator Fault Diagnosis: Application to a Tunnel Furnace.
Neural Process. Lett., 2015

Adaptive fault tolerant control: Application to a DC servo motor.
Proceedings of the 20th International Conference on Methods and Models in Automation and Robotics, 2015

2014
A robust fault-tolerant model predictive control for linear parameter-varying systems.
Proceedings of the 19th International Conference On Methods and Models in Automation and Robotics, 2014

Neural-Network Based Robust FTC: Application to Wind Turbines.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

A LMI-based strategy for ℋ∞ fault estimation of non-linear systems: Application to the multi-tank system.
Proceedings of the 13th European Control Conference, 2014

2013
Computer-aided diagnosis of breast cancer based on fine needle biopsy microscopic images.
Comput. Biol. Medicine, 2013

Robust Sensor and Actuator Fault Diagnosis with GMDH Neural Networks.
Proceedings of the Advances in Computational Intelligence, 2013

A H∞ approach to robust fault estimation of non-linear discrete-time systems.
Proceedings of the 12th European Control Conference, 2013

2012
Nonlinear model predictive control of a boiler unit: A fault tolerant control study.
Int. J. Appl. Math. Comput. Sci., 2012

Actuators and sensors fault diagnosis with dynamic, state-space neural networks.
Proceedings of the 17th International Conference on Methods & Models in Automation & Robotics, 2012

Stability Analysis of the Neural Network Based Fault Tolerant Control for the Boiler Unit.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

2011
An unscented Kalman filter approach to designing GMDH neural networks: Application to the tunnel furnace.
Proceedings of the 16th International Conference on Methods and Models in Automation and Robotics, 2011

2010
Segmentation of Breast Cancer Fine Needle Biopsy Cytological Images Using Fuzzy Clustering.
Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010

Memory Usage Reduction in Hough Transform Based Music Tunes Recognition Systems.
Proceedings of the Artifical Intelligence and Soft Computing, 2010

2009
Database Supported Fine Needle Biopsy Material Diagnosis Routine.
Proceedings of the Computer Recognition Systems 3, 2009

Hough and Fuzzy Hough Transform in Music Tunes Recognition Systems.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Robust fault diagnosis via parameter identification of dynamical systems.
Proceedings of the 10th European Control Conference, 2009

2008
Hough Transform, (1+1) Search Strategy and Watershed Algorithm in Segmentation of Cytological Images.
Proceedings of the Computer Recognition Systems 2, 2008

Confidence estimation of GMDH neural networks and its application in fault detection systems.
Int. J. Syst. Sci., 2008

Confidence estimation of the multi-layer perceptron and its application in fault detection systems.
Eng. Appl. Artif. Intell., 2008

Towards Robustness in Neural Network Based Fault Diagnosis.
Int. J. Appl. Math. Comput. Sci., 2008

Hough Transform in Music Tunes Recognition Systems.
Proceedings of the Artificial Intelligence and Soft Computing, 2008

2007
Fault detection under fuzzy model uncertainty.
Int. J. Autom. Comput., 2007

A GMDH neural network-based approach to passive robust fault detection using a constraint satisfaction backward test.
Eng. Appl. Artif. Intell., 2007

Fault detection in catalytic cracking converter by means of probability density approximation.
Eng. Appl. Artif. Intell., 2007

Neuro-fuzzy networks and their application to fault detection of dynamical systems.
Eng. Appl. Artif. Intell., 2007

DC motor fault diagnosis by means of artificial neural networks.
Proceedings of the ICINCO 2007, 2007

Comparison of fine needle biopsy cytological image segmentation methods.
Proceedings of the ICINCO 2007, 2007

Least Mean Square vs. Outer Bounding Ellipsoid Algorithm in Confidence Estimation of the GMDH Neural Networks.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

2006
Human Identification Based on Fingerprint Local Features.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

2005
Global Stability Conditions of Locally Recurrent Neural Networks.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Soft Computing in Fault Detection and Isolation.
Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, 2005

Comparison of Minutiae Matching Techniques.
Proceedings of the Computer Recognition Systems, 2005

2004
A novel genetic programming approach to nonlinear system modelling: application to the DAMADICS benchmark problem.
Eng. Appl. Artif. Intell., 2004

Confidence Estimation of GMDH Neural Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

Dynamic High Order Neural Networks: Application for Fault Diagnosis.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

2003
Systems identification with GMDH neural networks: a multi-dimensional case.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 2003

2001
Soft Computing Approaches to Fault Diagnosis for Dynamic Systems.
Eur. J. Control, 2001

An extended unknown input observer for nonlinear discrete-time systems.
Proceedings of the 6th European Control Conference, 2001

Solving optimization tasks in construction of FDI systems: An evolutionary approach.
Proceedings of the 6th European Control Conference, 2001

The Bayesian formalism for combining multiple decision of a neural network ensemble.
Proceedings of the 6th European Control Conference, 2001

1999
Cascade network of dynamic neurons in fault detection systems.
Proceedings of the 5th European Control Conference, 1999

Dynamic GMDH neural networks and their application in fault detection systems.
Proceedings of the 5th European Control Conference, 1999

1985
State estimation in discrete-time distributed parameter systems under incomplete priori information about the system.
Kybernetika, 1985


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