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Józef Korbicz
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2020 – today
- 2023
- [j20]Mohammad Amin Shamshiri
, Adam Krzyzak
Compatible-domain Transfer Learning for Breast Cancer Classification with Limited Annotated Data. Comput. Biol. Medicine 154: 106575 (2023) - [c43]Marcin Pazera
A Multiple Actuator and Sensor Fault Estimation for Dynamic Systems. PCC (1) 2023: 250-260 - 2022
- [j19]Roman Gielerak, Joanna Wisniewska
Classical Computer Assisted Analysis of Small Multiqudit Systems. IEEE Access 10: 82636-82655 (2022) - 2021
- [j18]Marek Kowal
Breast cancer nuclei segmentation and classification based on a deep learning approach. Int. J. Appl. Math. Comput. Sci. 31(1): 85-106 (2021) - 2020
- [j17]Marek Kowal
Cell Nuclei Segmentation in Cytological Images Using Convolutional Neural Network and Seeded Watershed Algorithm. J. Digit. Imaging 33(1): 231-242 (2020) - [c42]Józef Korbicz, Petro Bidyuk, Nataliia Kuznietsova, Arsenii Kroptya, Oleksandr Terentiev, Tetyana Prosiankina-Zharova:
Multivariate Distribution Model for Financial Risks Management. ICST 2020: 416-429 - [e1]Józef Korbicz, Roman Maniewski, Krzysztof Patan, Marek Kowal:
Current Trends in Biomedical Engineering and Bioimages Analysis - Proceedings of the 21st Polish Conference on Biocybernetics and Biomedical Engineering, PCBBE 2019, Zielona Góra, Poland, September 25-27, 2019. Advances in Intelligent Systems and Computing 1033, Springer 2020, ISBN 978-3-030-29884-5 [contents]
2010 – 2019
- 2019
- [j16]Andrzej Janczak, Józef Korbicz
Two-Stage Instrumental Variables Identification of Polynomial Wiener Systems with Invertible Nonlinearities. Int. J. Appl. Math. Comput. Sci. 29(3): 571-580 (2019) - [j15]Marcel Luzar
Sensor-Based Weightlifting Workout Assisting System Design and Its Practical Implementation. J. Sensors 2019: 1787351:1-1787351:14 (2019) - [c41]Marek Kowal, Józef Korbicz
Refinement of Convolutional Neural Network Based Cell Nuclei Detection Using Bayesian Inference. EMBC 2019: 7216-7222 - [c40]Marcin Skobel, Marek Kowal
Breast Cancer Computer-Aided Diagnosis System Using k-NN Algorithm Based on Hausdorff Distance. PCBBE 2019: 179-188 - 2018
- [c39]Marek Kowal
Nuclei Detection in Cytological Images Using Convolutional Neural Network and Ellipse Fitting Algorithm. ICAISC (2) 2018: 157-167 - [c38]Marcel Luzar
Linear Parameter-Varying Two Rotor Aero-Dynamical System Modelling with State-Space Neural Network. ICAISC (2) 2018: 592-602 - [c37]Marcin Skobel
Cell Nuclei Segmentation Using Marker-Controlled Watershed and Bayesian Object Recognition. ITIB 2018: 407-418 - [c36]Marek Kowal
Stochastic Geometry for Automatic Assessment of Ki-67 Index in Breast Cancer Preparations. IWBBIO (2) 2018: 151-162 - 2017
- [c35]Marcin Skobel
Nuclei Recognition Using Iterated Conditional Modes Approach. CORES 2017: 326-335 - [c34]Michal Zejmo
Nuclei Recognition Using Convolutional Neural Network and Hough Transform. DPS 2017: 316-327 - [c33]Przemyslaw Jacewicz, Józef Korbicz
Using Toboggan Segmentation in Detection of Centers and Radius of Cell Nuclei. IP&C 2017: 35-42 - [c32]Marcin Pazera
Combined estimation of actuator and sensor faults for non-linear dynamic systems. MMAR 2017: 933-938 - 2016
- [c31]Marek Kowal
Combining Image Thresholding and Fast Marching for Nuclei Extraction in Microscopic Images. IP&C 2016: 195-202 - [c30]Piotr Witczak, Marcin Witczak
A quadratic boundedness approach to adaptive simultaneous sensor and actuator fault estimation. MMAR 2016: 883-888 - [c29]Marcin Witczak
Towards a practical reachability test for dynamic systems under process faults. MMAR 2016: 889-894 - 2015
- [j14]Marcin Witczak
Towards Robust Neural-Network-Based Sensor and Actuator Fault Diagnosis: Application to a Tunnel Furnace. Neural Process. Lett. 42(1): 71-87 (2015) - [c28]Mariusz Buciakowski
Adaptive fault tolerant control: Application to a DC servo motor. MMAR 2015: 800-805 - 2014
- [c27]Marcin Witczak
A LMI-based strategy for ℋ∞ fault estimation of non-linear systems: Application to the multi-tank system. ECC 2014: 270-275 - [c26]Marcel Luzar
Neural-Network Based Robust FTC: Application to Wind Turbines. ICAISC (1) 2014: 97-108 - [c25]Piotr Witczak, Marcel Luzar
A robust fault-tolerant model predictive control for linear parameter-varying systems. MMAR 2014: 462-467 - 2013
- [j13]Marek Kowal
Computer-aided diagnosis of breast cancer based on fine needle biopsy microscopic images. Comput. Biol. Medicine 43(10): 1563-1572 (2013) - [c24]Marcin Witczak, Józef Korbicz, Rafal Józefowicz:
A H∞ approach to robust fault estimation of non-linear discrete-time systems. ECC 2013: 1433-1438 - [c23]Marcin Witczak
Robust Sensor and Actuator Fault Diagnosis with GMDH Neural Networks. IWANN (1) 2013: 96-105 - 2012
- [j12]Krzysztof Patan
Nonlinear model predictive control of a boiler unit: A fault tolerant control study. Int. J. Appl. Math. Comput. Sci. 22(1): 225-237 (2012) - [c22]Andrzej Czajkowski, Krzysztof Patan, Józef Korbicz
Stability Analysis of the Neural Network Based Fault Tolerant Control for the Boiler Unit. ICAISC (2) 2012: 548-556 - [c21]Marcel Luzar
Actuators and sensors fault diagnosis with dynamic, state-space neural networks. MMAR 2012: 196-201 - 2011
- [c20]Marcel Luzar
An unscented Kalman filter approach to designing GMDH neural networks: Application to the tunnel furnace. MMAR 2011: 204-209 - 2010
- [c19]Maciej Hrebien, Józef Korbicz
Memory Usage Reduction in Hough Transform Based Music Tunes Recognition Systems. ICAISC (2) 2010: 484-491 - [p3]Marek Kowal
Segmentation of Breast Cancer Fine Needle Biopsy Cytological Images Using Fuzzy Clustering. Advances in Machine Learning I 2010: 405-417
2000 – 2009
- 2009
- [c18]Marcin Mrugalski, Józef Korbicz
Robust fault diagnosis via parameter identification of dynamical systems. ECC 2009: 2923-2928 - [c17]Maciej Hrebien, Józef Korbicz
Hough and Fuzzy Hough Transform in Music Tunes Recognition Systems. ICANNGA 2009: 479-488 - [p2]Maciej Hrebien, Józef Korbicz
Database Supported Fine Needle Biopsy Material Diagnosis Routine. Computer Recognition Systems 3 2009: 373-380 - 2008
- [j11]Krzysztof Patan
Towards Robustness in Neural Network Based Fault Diagnosis. Int. J. Appl. Math. Comput. Sci. 18(4): 443-454 (2008) - [j10]Marcin Mrugalski
Confidence estimation of the multi-layer perceptron and its application in fault detection systems. Eng. Appl. Artif. Intell. 21(6): 895-906 (2008) - [j9]Józef Korbicz
Confidence estimation of GMDH neural networks and its application in fault detection systems. Int. J. Syst. Sci. 39(8): 783-800 (2008) - [c16]Maciej Hrebien, Józef Korbicz
Hough Transform in Music Tunes Recognition Systems. ICAISC 2008: 588-596 - [p1]Maciej Hrebien, Józef Korbicz
Hough Transform, (1+1) Search Strategy and Watershed Algorithm in Segmentation of Cytological Images. Computer Recognition Systems 2 2008: 550-557 - 2007
- [j8]Józef Korbicz
Neuro-fuzzy networks and their application to fault detection of dynamical systems. Eng. Appl. Artif. Intell. 20(5): 609-617 (2007) - [j7]Vicenç Puig
A GMDH neural network-based approach to passive robust fault detection using a constraint satisfaction backward test. Eng. Appl. Artif. Intell. 20(7): 886-897 (2007) - [j6]Krzysztof Patan
Fault detection in catalytic cracking converter by means of probability density approximation. Eng. Appl. Artif. Intell. 20(7): 912-923 (2007) - [j5]Marek Kowal
Fault detection under fuzzy model uncertainty. Int. J. Autom. Comput. 4(2): 117-124 (2007) - [c15]Marcin Mrugalski, Józef Korbicz
Least Mean Square vs. Outer Bounding Ellipsoid Algorithm in Confidence Estimation of the GMDH Neural Networks. ICANNGA (2) 2007: 19-26 - [c14]Krzysztof Patan, Józef Korbicz, Gracjan Glowacki:
DC motor fault diagnosis by means of artificial neural networks. ICINCO-ICSO 2007: 11-18 - [c13]Maciej Hrebien, Piotr Stec, Józef Korbicz:
Comparison of fine needle biopsy cytological image segmentation methods. ICINCO-RA (2) 2007: 305-310 - 2006
- [c12]Maciej Hrebien, Józef Korbicz
Human Identification Based on Fingerprint Local Features. ICAISC 2006: 796-803 - 2005
- [c11]Maciej Hrebien, Andrzej Marciniak, Józef Korbicz:
Comparison of Minutiae Matching Techniques. CORES 2005: 775-782 - [c10]Józef Korbicz, Marcin Witczak:
Soft Computing in Fault Detection and Isolation. EUSFLAT Conf. 2005: 2-3 - [c9]Krzysztof Patan, Józef Korbicz, Przemyslaw Pretki:
Global Stability Conditions of Locally Recurrent Neural Networks. ICANN (2) 2005: 191-196 - 2004
- [j4]Mihai Florin Metenidis, Marcin Witczak
A novel genetic programming approach to nonlinear system modelling: application to the DAMADICS benchmark problem. Eng. Appl. Artif. Intell. 17(4): 363-370 (2004) - [j3]Arunas Lipnickas, Józef Korbicz:
Adaptive Selection of Neural Networks for a Committee Decision. Int. J. Comput. 3(2): 23-30 (2004) - [c8]Eugen Arinton, Józef Korbicz
Dynamic High Order Neural Networks: Application for Fault Diagnosis. ICAISC 2004: 145-150 - [c7]Józef Korbicz
Confidence Estimation of GMDH Neural Networks. ICAISC 2004: 210-216 - 2003
- [c6]Marcin Mrugalski, Eugen Arinton, Józef Korbicz:
Systems identification with GMDH neural networks: a multi-dimensional case. ICANNGA 2003: 115-120 - 2001
- [j2]J. M. F. Calado, Józef Korbicz
Soft Computing Approaches to Fault Diagnosis for Dynamic Systems. Eur. J. Control 7(2-3): 248-286 (2001) - [c5]Marcin Witczak, Józef Korbicz
An extended unknown input observer for nonlinear discrete-time systems. ECC 2001: 1249-1254 - [c4]Andrzej Obuchowicz, Józef Korbicz
Solving optimization tasks in construction of FDI systems: An evolutionary approach. ECC 2001: 1647-1652 - [c3]Andrzej Marciniak, Józef Korbicz
The Bayesian formalism for combining multiple decision of a neural network ensemble. ECC 2001: 3370-3374
1990 – 1999
- 1999
- [c2]Krzysztof Patan, Andrzej Obuchowicz, Józef Korbicz
Cascade network of dynamic neurons in fault detection systems. ECC 1999: 4232-4237 - [c1]Józef Korbicz
Dynamic GMDH neural networks and their application in fault detection systems. ECC 1999: 4243-4248
1980 – 1989
- 1985
- [j1]Józef Korbicz:
State estimation in discrete-time distributed parameter systems under incomplete priori information about the system. Kybernetika 21(6): 470-479 (1985)
Coauthor Index
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