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ORCIDStanislaw Osowski
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2020 – today
- 2024
[c42]Farnaz Haghshenas
, Adam Krzyzak, Stanislaw Osowski:
Comparative Study of Deep Learning Models in Melanoma Detection. ANNPR 2024: 121-131- 2023
- [c41]Michal Parzyszek, Stanislaw Osowski:
Deep Learning Recommendation System for Stock Market Investments. IWANN (1) 2023: 263-275 - [c40]Bartosz Swiderski, Stanislaw Osowski, Jaroslaw Kurek, Cezary Chudobinski:
Random Ensemble of Extended CNN Structures for Medical Image Recognition. IWANN (1) 2023: 483-493 - 2022
- [j44]Bartosz Swiderski, Stanislaw Osowski, Grzegorz Gwardys, Jaroslaw Kurek, Monika Slowinska, Iwona Lugowska:
Random CNN structure: tool to increase generalization ability in deep learning. EURASIP J. Image Video Process. 2022(1): 3 (2022) - [c39]Maciej Golgowski, Stanislaw Osowski:
Detection of bearing failures using wavelet transformation and machine learning approach. IJCNN 2022: 1-8 - 2021
- [j43]Bartosz Swiderski, Lukasz Gielata, Pawel Olszewski, Stanislaw Osowski, Marcin Kolodziej:
Deep neural system for supporting tumor recognition of mammograms using modified GAN. Expert Syst. Appl. 164: 113968 (2021) - [c38]Dominik Seweryn, Stanislaw Osowski:
Hierarchical System of Gene Selection Based on Deep Learning and Ensemble Approach. IJCNN 2021: 1-8 - [c37]Bartosz Swiderski, Stanislaw Osowski, Pawel Olszewski, Lukasz Gielata, Monika Slowinska, Iwona Lugowska:
Random Deep Neural Network for Melanoma Recognition. IJCNN 2021: 1-7 - [c36]Stanislaw Osowski:
Prediction of Air Pollution Using LSTM. IWANN (2) 2021: 208-219 - 2020
- [c35]Stanislaw Osowski, Tomasz Les:
Deep Learning Ensemble for Melanoma Recognition. IJCNN 2020: 1-7 - [c34]Stanislaw Osowski, Lukasz Sierenski:
Prediction of Customer Status in Corporate Banking Using Neural Networks. IJCNN 2020: 1-6
2010 – 2019
- 2019
- [j42]Tomasz Les, Tomasz Markiewicz, Stanislaw Osowski, Marzena Jesiotr:
Automatic reconstruction of overlapped cells in breast cancer FISH images. Expert Syst. Appl. 137: 335-342 (2019) - [c33]Aleksandra Osowska, Stanislaw Osowski:
Voice Command Recognition Using Statistical Signal Processing and SVM. IWANN (1) 2019: 65-73 - 2017
- [j41]Bartosz Swiderski, Stanislaw Osowski, Jaroslaw Kurek, Michal Kruk, Iwona Lugowska, Piotr Rutkowski, Walid Barhoumi:
Novel methods of image description and ensemble of classifiers in application to mammogram analysis. Expert Syst. Appl. 81: 67-78 (2017) - [j40]Tomasz Latkowski, Stanislaw Osowski:
Gene selection in autism - Comparative study. Neurocomputing 250: 37-44 (2017) - 2016
- [j39]Krzysztof Siwek, Stanislaw Osowski:
Data mining methods for prediction of air pollution. Int. J. Appl. Math. Comput. Sci. 26(2): 467-478 (2016) - [j38]Bartosz Swiderski, Stanislaw Osowski, Michal Kruk, Walid Barhoumi:
Aggregation of classifiers ensemble using local discriminatory power and quantiles. Expert Syst. Appl. 46: 316-323 (2016) - [j37]Tomasz Les, Tomasz Markiewicz, Stanislaw Osowski, Wojciech Kozlowski, Marzena Jesiotr:
Fusion of FISH image analysis methods of HER2 status determination in breast cancer. Expert Syst. Appl. 61: 78-85 (2016) - [j36]Marek Wdowiak, Tomasz Markiewicz, Stanislaw Osowski, Janusz Patera, Wojciech Kozlowski:
Novel segmentation algorithm for identification of cell membrane staining in HER2 images. Pattern Recognit. Lett. 84: 225-231 (2016) - 2015
- [j35]Tomasz Latkowski, Stanislaw Osowski:
Computerized system for recognition of autism on the basis of gene expression microarray data. Comput. Biol. Medicine 56: 82-88 (2015) - [j34]Michal Kruk, Bartosz Swiderski, Stanislaw Osowski, Jaroslaw Kurek, Monika Slowinska, Irena Walecka:
Melanoma recognition using extended set of descriptors and classifiers. EURASIP J. Image Video Process. 2015: 43 (2015) - [j33]Bartosz Swiderski, Stanislaw Osowski, Michal Kruk, Jaroslaw Kurek:
Texture characterization based on the Kolmogorov-Smirnov distance. Expert Syst. Appl. 42(1): 503-509 (2015) - [j32]Tomasz Latkowski, Stanislaw Osowski:
Data mining for feature selection in gene expression autism data. Expert Syst. Appl. 42(2): 864-872 (2015) - [j31]Tomasz Markiewicz, Miroslaw Dziekiewicz, Stanislaw Osowski, Romana Boguslawska-Walecka, Wojciech Kozlowski, Marek Maruszynski:
Computerized System for Quantitative Assessment of Atherosclerotic Plaques in the Femoral and Iliac Arteries Visualized by Multislice Computed Tomography. IEEE Trans. Biomed. Eng. 62(6): 1490-1502 (2015) - [c32]Marek Wdowiak, Tomasz Markiewicz, Stanislaw Osowski, Janusz Patera, Wojciech Kozlowski:
Gradients and Active Contour Models for Localization of Cell Membrane in HER2/neu Images. CAIP (1) 2015: 432-444 - [c31]Marek Wdowiak, Tomasz Markiewicz, Stanislaw Osowski, Zaneta Swiderska, Janusz Patera, Wojciech Kozlowski:
Hourglass Shapes in Rank Grey-Level Hit-or-miss Transform for Membrane Segmentation in HER2/neu Images. ISMM 2015: 3-14 - [c30]Tomasz Latkowski, Stanislaw Osowski:
Developing Gene Classifier System for Autism Recognition. IWANN (2) 2015: 3-14 - 2014
- [j30]Michal Muszynski, Stanislaw Osowski:
Data mining methods for gene selection on the basis of gene expression arrays. Int. J. Appl. Math. Comput. Sci. 24(3): 657-668 (2014) - [c29]Tomasz Les, Tomasz Markiewicz, Stanislaw Osowski, Marzena Cichowicz, Wojciech Kozlowski:
Automatic Evaluation System of FISH Images in Breast Cancer. ICISP 2014: 332-339 - 2013
- [j29]Tomasz Les, Michal Kruk, Stanislaw Osowski:
Automatic recognition of industrial tools using artificial intelligence approach. Expert Syst. Appl. 40(12): 4777-4784 (2013) - [p1]Krzysztof Siwek, Stanislaw Osowski, Bartosz Swiderski:
Study of Dynamics of Atmospheric Pollution and Its Association with Environmental Parameters. Selected Topics in Nonlinear Dynamics and Theoretical Electrical Engineering 2013: 179-190 - 2012
- [j28]Bartosz Swiderski, Jaroslaw Kurek, Stanislaw Osowski:
Multistage classification by using logistic regression and neural networks for assessment of financial condition of company. Decis. Support Syst. 52(2): 539-547 (2012) - [j27]Krzysztof Siwek, Stanislaw Osowski:
Improving the accuracy of prediction of PM10 pollution by the wavelet transformation and an ensemble of neural predictors. Eng. Appl. Artif. Intell. 25(6): 1246-1258 (2012) - [j26]Kazimierz Brudzewski, Stanislaw Osowski, A. Golembiecka:
Differential electronic nose and support vector machine for fast recognition of tobacco. Expert Syst. Appl. 39(10): 9886-9891 (2012) - [j25]Stanislaw Osowski:
Higher-order differentiation of network functions using signal flow graphs. Int. J. Circuit Theory Appl. 40(9): 975-983 (2012) - [j24]Kazimierz Brudzewski, Stanislaw Osowski, Anna Dwulit:
Recognition of Coffee Using Differential Electronic Nose. IEEE Trans. Instrum. Meas. 61(6): 1803-1810 (2012) - [c28]Tomasz Staroszczyk, Stanislaw Osowski, Tomasz Markiewicz:
Comparative Analysis of Feature Selection Methods for Blood Cell Recognition in Leukemia. MLDM 2012: 467-481 - 2011
- [j23]Stanislaw Osowski, Krzysztof Siwek, Robert Siroic:
Neural system for heartbeats recognition using genetically integrated ensemble of classifiers. Comput. Biol. Medicine 41(3): 173-180 (2011) - [j22]Robert Salat, Stanislaw Osowski:
Support Vector Machine for soft fault location in electrical circuits. J. Intell. Fuzzy Syst. 22(1): 21-31 (2011) - [c27]Stanislaw Osowski:
Signal flow graphs for determination of higher order sensitivities of circuit functions. ECCTD 2011: 437-440 - [c26]Stanislaw Osowski, Krzysztof Siwek:
Methods of Integration of Ensemble of Neural Predictors of Time Series - Comparative Analysis. ICANNGA (1) 2011: 41-50 - 2010
- [j21]Jaroslaw Kurek, Stanislaw Osowski:
Support vector machine for fault diagnosis of the broken rotor bars of squirrel-cage induction motor. Neural Comput. Appl. 19(4): 557-564 (2010) - [c25]Krzysztof Siwek, Stanislaw Osowski, Bartosz Swiderski, Lukasz Mycka:
Prediction of Power Consumption for Small Power Region Using Indexing Approach and Neural Network. ICANN (1) 2010: 54-59 - [c24]Krzysztof Siwek, Stanislaw Osowski, Mieczyslaw Sowinski:
Neural predictor ensemble for accurate forecasting of PM10 pollution. IJCNN 2010: 1-7
2000 – 2009
- 2009
- [j20]Krzysztof Siwek, Stanislaw Osowski, Ryszard Szupiluk:
Ensemble Neural Network Approach for Accurate Load Forecasting in a Power System. Int. J. Appl. Math. Comput. Sci. 19(2): 303-315 (2009) - [j19]Michal Kruk, Stanislaw Osowski, Robert Koktysz:
Recognition and classification of colon cells applying the ensemble of classifiers. Comput. Biol. Medicine 39(2): 156-165 (2009) - [j18]Bartosz Swiderski, Stanislaw Osowski, Andrzej Cichocki, Andrzej Rysz:
Single-class SVM and directed transfer function approach to the localization of the region containing epileptic focus. Neurocomputing 72(7-9): 1575-1583 (2009) - [j17]Stanislaw Osowski, Robert Siroic, Tomasz Markiewicz, Krzysztof Siwek:
Application of Support Vector Machine and Genetic Algorithm for Improved Blood Cell Recognition. IEEE Trans. Instrum. Meas. 58(7): 2159-2168 (2009) - [c23]Tomasz Markiewicz, Stanislaw Osowski, Cezary Jochymski, Joanna Narbutt, Wojciech Kozlowski:
Application of SVM for cell recognition in BCC skin pathology. ESANN 2009 - [c22]Krzysztof Siwek, Stanislaw Osowski:
Two-Stage Neural Network Approach to Precise 24-Hour Load Pattern Prediction. HAIS 2009: 327-335 - [c21]Artur Wilinski, Stanislaw Osowski, Krzysztof Siwek:
Gene Selection for Cancer Classification through Ensemble of Methods. ICANNGA 2009: 507-516 - 2008
- [c20]Jaroslaw Kurek, Stanislaw Osowski:
Support Vector Machine for diagnosis of the bars of cage inductance motor. ICECS 2008: 1022-1025 - [c19]Bartosz Swiderski, Stanislaw Osowski, Andrzej Cichocki, Andrzej Rysz:
Single-class SVM classifier for localization of epileptic focus on the basis of EEG. IJCNN 2008: 189-194 - [c18]Krzysztof Siwek, Stanislaw Osowski, Konrad Garanty, Mieczyslaw Sowinski:
Ensemble of neural predictors for forecasting the atmospheric pollution. IJCNN 2008: 643-648 - 2007
- [j16]Stanislaw Osowski, Konrad Garanty:
Forecasting of the daily meteorological pollution using wavelets and support vector machine. Eng. Appl. Artif. Intell. 20(6): 745-755 (2007) - [c17]Tomasz Markiewicz, Stanislaw Osowski, Bozena Marianska:
White Blood Cell Automatic Counting System Based on Support Vector Machine. ICANNGA (2) 2007: 318-326 - [c16]Bartosz Swiderski, Stanislaw Osowski, Andrzej Cichocki, Andrzej Rysz:
Epileptic Seizure Prediction Using Lyapunov Exponents and Support Vector Machine. ICANNGA (2) 2007: 373-381 - [c15]Michal Kruk, Stanislaw Osowski, Robert Koktysz:
Recognition of Colon Cells Using Ensemble of Classifiers. IJCNN 2007: 288-293 - 2006
- [c14]Tomasz Markiewicz, Stanislaw Osowski:
Data mining techniques for feature selection in blood cell recognition. ESANN 2006: 407-412 - 2005
- [c13]Krzysztof Siwek, Stanislaw Osowski, Ryszard Szupiluk, Piotr Wojewnik, Tomasz S. Zabkowski:
Blind source separation for improved load forecasting in the power system. ECCTD 2005: 61-64 - [c12]Bartosz Swiderski, Stanislaw Osowski, Andrzej Rysz:
Lyapunov exponent of EEG signal for epileptic seizure characterization. ECCTD 2005: 153-156 - [c11]Stanislaw Osowski, Tran Haoi Linh, Tomasz Markiewicz:
Recognition of Heartbeats Using Support Vector Machine Networks - A Comparative Study. ICANN (2) 2005: 637-642 - [c10]Kazimierz Brudzewski, Stanislaw Osowski, Tomasz Markiewicz, Jan Ulaczyk:
Support Vector Machine for Recognition of Bio-products in Gasoline. ICANN (2) 2005: 899-904 - 2004
- [j15]Stanislaw Osowski, Tran Hoai Linh, Tomasz Markiewicz:
Support vector machine-based expert system for reliable heartbeat recognition. IEEE Trans. Biomed. Eng. 51(4): 582-589 (2004) - [j14]Stanislaw Osowski, Tran Haoi Linh, Kazimierz Brudzewski:
Neuro-fuzzy TSK network for calibration of semiconductor sensor array for gas measurements. IEEE Trans. Instrum. Meas. 53(3): 630-637 (2004) - [j13]Stanislaw Osowski, Tran Haoi Linh, Kazimierz Brudzewski:
Neuro-fuzzy network for flavor recognition and classification. IEEE Trans. Instrum. Meas. 53(3): 638-644 (2004) - [c9]Stanislaw Osowski, Tomasz Markiewicz, Bozena Marianska, Leszek Moszczynski:
Feature generation for the cell image recognition of myelogenous leukemia. EUSIPCO 2004: 753-756 - 2003
- [j12]Tran Hoai Linh, Stanislaw Osowski, Maciej Stodolski:
On-line heart beat recognition using Hermite polynomials and neuro-fuzzy network. IEEE Trans. Instrum. Meas. 52(4): 1224-1231 (2003) - 2002
- [j11]Stanislaw Osowski, Do Dinh Nghia:
Fourier and wavelet descriptors for shape recognition using neural networks - a comparative study. Pattern Recognit. 35(9): 1949-1957 (2002) - [j10]Jacek Jakubowski, Krzystof Kwiatos, Augustyn Chwaleba, Stanislaw Osowski:
Higher order statistics and neural network for tremor recognition. IEEE Trans. Biomed. Eng. 49(2): 152-159 (2002) - 2001
- [j9]Stanislaw Osowski, Tran Hoai Linh:
ECG beat recognition using fuzzy hybrid neural network. IEEE Trans. Biomed. Eng. 48(11): 1265-1271 (2001) - [c8]Krzysztof Siwek, Stanislaw Osowski:
Regularization of neural networks for improved load forecasting in power system. ICECS 2001: 1255-1258 - 2000
- [j8]Stanislaw Osowski, Kazimierz Brudzewski:
Fuzzy self-organizing hybrid neural network for gas analysis system. IEEE Trans. Instrum. Meas. 49(2): 424-428 (2000) - [c7]Stanislaw Osowski, Tran Hoai Linh:
Fuzzy Clustering Neural Network for Classification of ECG Beats. IJCNN (5) 2000: 26-32
1990 – 1999
- 1999
- [j7]Stanislaw Osowski, Andrzej Cichocki:
Learning in dynamic neural networks using signal flow graphs. Int. J. Circuit Theory Appl. 27(2): 209-228 (1999) - [c6]Stanislaw Osowski, Andrzej Majkowski:
Wavelet transform approach to the detection of the breaking point of the transient signal in the circuit. ICECS 1999: 549-552 - [c5]Stanislaw Osowski, Krzysztof Siwek:
The selforganizing neural network approach to load forecasting in the power system. IJCNN 1999: 3401-3404 - 1998
- [c4]Stanislaw Osowski, Krzysztof Siwek:
Self-organizing neural network for fault location in electrical circuits. ICECS 1998: 265-268 - 1997
- [c3]Stanislaw Osowski, Andrzej Majkowski, Andrzej Cichocki:
Robust PCA neural networks for random noise reduction of the data. ICASSP 1997: 3397-3400 - 1996
- [j6]Stanislaw Osowski:
Multilayer Volterra Filter and its Applications. Neural Comput. Appl. 4(4): 228-236 (1996) - [j5]Stanislaw Osowski, Piotr Bojarczak, Maciej Stodolski:
Fast Second Order Learning Algorithm for Feedforward Multilayer Neural Networks and its Applications. Neural Networks 9(9): 1583-1596 (1996) - 1995
- [j4]Stanislaw Osowski, Jeanny Hérault:
Signal Flow Graphs as an Efficient Tool for Gradient and Exact Hessian Determination. Complex Syst. 9(1) (1995) - [c2]Stanislaw Osowski, Robert Waszczuk, Piotr Bojarczak:
Image Compression Using Feedforward Neural Networks - Hierarchical Approach. IWANN 1995: 1009-1015 - 1994
- [j3]Stanislaw Osowski:
Signal flow graphs and neural networks. Biol. Cybern. 70(4): 387-395 (1994) - [c1]Stanislaw Osowski, Than Vu Quang:
Multilayer Neural Network Structures as Volterra Filter. ISCAS 1994: 253-256 - 1993
- [j2]Stanislaw Osowski:
Neural networks in interpolation problems. Neurocomputing 5(2): 105-118 (1993) - 1992
- [j1]Stanislaw Osowski:
Neural network for non-linear programming with linear equality constraints. Int. J. Circuit Theory Appl. 20(1): 93-98 (1992)
Coauthor Index
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last updated on 2024-10-07 21:14 CEST by the dblp team
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