Stanislaw Osowski

Orcid: 0000-0003-3194-4656

According to our database1, Stanislaw Osowski authored at least 87 papers between 1992 and 2024.

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

Timeline

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Bibliography

2024
Comparative Study of Deep Learning Models in Melanoma Detection.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2024

2023
Random Ensemble of Extended CNN Structures for Medical Image Recognition.
Proceedings of the Advances in Computational Intelligence, 2023

Deep Learning Recommendation System for Stock Market Investments.
Proceedings of the Advances in Computational Intelligence, 2023

2022
Random CNN structure: tool to increase generalization ability in deep learning.
EURASIP J. Image Video Process., 2022

Detection of bearing failures using wavelet transformation and machine learning approach.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Deep neural system for supporting tumor recognition of mammograms using modified GAN.
Expert Syst. Appl., 2021

Prediction of Air Pollution Using LSTM.
Proceedings of the Advances in Computational Intelligence, 2021

Random Deep Neural Network for Melanoma Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2021

Hierarchical System of Gene Selection Based on Deep Learning and Ensemble Approach.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Prediction of Customer Status in Corporate Banking Using Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Deep Learning Ensemble for Melanoma Recognition.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Automatic reconstruction of overlapped cells in breast cancer FISH images.
Expert Syst. Appl., 2019

Voice Command Recognition Using Statistical Signal Processing and SVM.
Proceedings of the Advances in Computational Intelligence, 2019

2017
Gene selection in autism - Comparative study.
Neurocomputing, 2017

Novel methods of image description and ensemble of classifiers in application to mammogram analysis.
Expert Syst. Appl., 2017

2016
Novel segmentation algorithm for identification of cell membrane staining in HER2 images.
Pattern Recognit. Lett., 2016

Aggregation of classifiers ensemble using local discriminatory power and quantiles.
Expert Syst. Appl., 2016

Fusion of FISH image analysis methods of HER2 status determination in breast cancer.
Expert Syst. Appl., 2016

Data mining methods for prediction of air pollution.
Int. J. Appl. Math. Comput. Sci., 2016

2015
Computerized System for Quantitative Assessment of Atherosclerotic Plaques in the Femoral and Iliac Arteries Visualized by Multislice Computed Tomography.
IEEE Trans. Biomed. Eng., 2015

Texture characterization based on the Kolmogorov-Smirnov distance.
Expert Syst. Appl., 2015

Data mining for feature selection in gene expression autism data.
Expert Syst. Appl., 2015

Melanoma recognition using extended set of descriptors and classifiers.
EURASIP J. Image Video Process., 2015

Computerized system for recognition of autism on the basis of gene expression microarray data.
Comput. Biol. Medicine, 2015

Developing Gene Classifier System for Autism Recognition.
Proceedings of the Advances in Computational Intelligence, 2015

Hourglass Shapes in Rank Grey-Level Hit-or-miss Transform for Membrane Segmentation in HER2/neu Images.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2015

Gradients and Active Contour Models for Localization of Cell Membrane in HER2/neu Images.
Proceedings of the Computer Analysis of Images and Patterns, 2015

2014
Data mining methods for gene selection on the basis of gene expression arrays.
Int. J. Appl. Math. Comput. Sci., 2014

Automatic Evaluation System of FISH Images in Breast Cancer.
Proceedings of the Image and Signal Processing - 6th International Conference, 2014

2013
Study of Dynamics of Atmospheric Pollution and Its Association with Environmental Parameters.
Proceedings of the Selected Topics in Nonlinear Dynamics and Theoretical Electrical Engineering, 2013

Automatic recognition of industrial tools using artificial intelligence approach.
Expert Syst. Appl., 2013

2012
Recognition of Coffee Using Differential Electronic Nose.
IEEE Trans. Instrum. Meas., 2012

Higher-order differentiation of network functions using signal flow graphs.
Int. J. Circuit Theory Appl., 2012

Differential electronic nose and support vector machine for fast recognition of tobacco.
Expert Syst. Appl., 2012

Improving the accuracy of prediction of PM<sub>10</sub> pollution by the wavelet transformation and an ensemble of neural predictors.
Eng. Appl. Artif. Intell., 2012

Multistage classification by using logistic regression and neural networks for assessment of financial condition of company.
Decis. Support Syst., 2012

Comparative Analysis of Feature Selection Methods for Blood Cell Recognition in Leukemia.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

2011
Support Vector Machine for soft fault location in electrical circuits.
J. Intell. Fuzzy Syst., 2011

Neural system for heartbeats recognition using genetically integrated ensemble of classifiers.
Comput. Biol. Medicine, 2011

Methods of Integration of Ensemble of Neural Predictors of Time Series - Comparative Analysis.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

Signal flow graphs for determination of higher order sensitivities of circuit functions.
Proceedings of the 20th European Conference on Circuit Theory and Design, 2011

2010
Support vector machine for fault diagnosis of the broken rotor bars of squirrel-cage induction motor.
Neural Comput. Appl., 2010

Neural predictor ensemble for accurate forecasting of PM<sup>10</sup> pollution.
Proceedings of the International Joint Conference on Neural Networks, 2010

Prediction of Power Consumption for Small Power Region Using Indexing Approach and Neural Network.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009
Application of Support Vector Machine and Genetic Algorithm for Improved Blood Cell Recognition.
IEEE Trans. Instrum. Meas., 2009

Single-class SVM and directed transfer function approach to the localization of the region containing epileptic focus.
Neurocomputing, 2009

Recognition and classification of colon cells applying the ensemble of classifiers.
Comput. Biol. Medicine, 2009

Ensemble Neural Network Approach for Accurate Load Forecasting in a Power System.
Int. J. Appl. Math. Comput. Sci., 2009

Gene Selection for Cancer Classification through Ensemble of Methods.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

Two-Stage Neural Network Approach to Precise 24-Hour Load Pattern Prediction.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

Application of SVM for cell recognition in BCC skin pathology.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008
Single-class SVM classifier for localization of epileptic focus on the basis of EEG.
Proceedings of the International Joint Conference on Neural Networks, 2008

Ensemble of neural predictors for forecasting the atmospheric pollution.
Proceedings of the International Joint Conference on Neural Networks, 2008

Support Vector Machine for diagnosis of the bars of cage inductance motor.
Proceedings of the 15th IEEE International Conference on Electronics, Circuits and Systems, 2008

2007
Forecasting of the daily meteorological pollution using wavelets and support vector machine.
Eng. Appl. Artif. Intell., 2007

Recognition of Colon Cells Using Ensemble of Classifiers.
Proceedings of the International Joint Conference on Neural Networks, 2007

Epileptic Seizure Prediction Using Lyapunov Exponents and Support Vector Machine.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

White Blood Cell Automatic Counting System Based on Support Vector Machine.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

2006
Data mining techniques for feature selection in blood cell recognition.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005
Recognition of Heartbeats Using Support Vector Machine Networks - A Comparative Study.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Support Vector Machine for Recognition of Bio-products in Gasoline.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Lyapunov exponent of EEG signal for epileptic seizure characterization.
Proceedings of the 2005 European Conference on Circuit Theory and Design, 2005

Blind source separation for improved load forecasting in the power system.
Proceedings of the 2005 European Conference on Circuit Theory and Design, 2005

2004
Neuro-fuzzy network for flavor recognition and classification.
IEEE Trans. Instrum. Meas., 2004

Neuro-fuzzy TSK network for calibration of semiconductor sensor array for gas measurements.
IEEE Trans. Instrum. Meas., 2004

Support vector machine-based expert system for reliable heartbeat recognition.
IEEE Trans. Biomed. Eng., 2004

Feature generation for the cell image recognition of myelogenous leukemia.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
On-line heart beat recognition using Hermite polynomials and neuro-fuzzy network.
IEEE Trans. Instrum. Meas., 2003

2002
Higher order statistics and neural network for tremor recognition.
IEEE Trans. Biomed. Eng., 2002

Fourier and wavelet descriptors for shape recognition using neural networks - a comparative study.
Pattern Recognit., 2002

2001
ECG beat recognition using fuzzy hybrid neural network.
IEEE Trans. Biomed. Eng., 2001

Regularization of neural networks for improved load forecasting in power system.
Proceedings of the 2001 8th IEEE International Conference on Electronics, 2001

2000
Fuzzy self-organizing hybrid neural network for gas analysis system.
IEEE Trans. Instrum. Meas., 2000

Fuzzy Clustering Neural Network for Classification of ECG Beats.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
Learning in dynamic neural networks using signal flow graphs.
Int. J. Circuit Theory Appl., 1999

The selforganizing neural network approach to load forecasting in the power system.
Proceedings of the International Joint Conference Neural Networks, 1999

Wavelet transform approach to the detection of the breaking point of the transient signal in the circuit.
Proceedings of the 6th IEEE International Conference on Electronics, Circuits and Systems, 1999

1998
Self-organizing neural network for fault location in electrical circuits.
Proceedings of the 5th IEEE International Conference on Electronics, Circuits and Systems, 1998

1997
Robust PCA neural networks for random noise reduction of the data.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
Fast Second Order Learning Algorithm for Feedforward Multilayer Neural Networks and its Applications.
Neural Networks, 1996

Multilayer Volterra Filter and its Applications.
Neural Comput. Appl., 1996

1995
Signal Flow Graphs as an Efficient Tool for Gradient and Exact Hessian Determination.
Complex Syst., 1995

Image Compression Using Feedforward Neural Networks - Hierarchical Approach.
Proceedings of the From Natural to Artificial Neural Computation, 1995

1994
Signal flow graphs and neural networks.
Biol. Cybern., 1994

Multilayer Neural Network Structures as Volterra Filter.
Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30, 1994

1993
Neural networks in interpolation problems.
Neurocomputing, 1993

1992
Neural network for non-linear programming with linear equality constraints.
Int. J. Circuit Theory Appl., 1992


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