Contact:
Room: 518
Position:
Associate Professor
Research teams:
Nowe systemy głębokiego uczenia i ich zastosowania
PhD DSc Eng ProfPCz
Marcin Korytkowski
Papers (71)
2023 (4)
Korytkowski M., Nowak J., Scherer R., Zbieg A., Zak B., Relikowska G., Mader P., Employee Turnover Prediction From Email Communication Analysis. (0)
Employee Turnover Prediction From Email Communication Analysis
, Employee Turnover Prediction From Email Communication Analysis, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13589 LNAI, 13589 LNAI, 252-263, 2023, Cites: 0
Korytkowski M., Nowak J., Scherer R., Wei W., Privacy Preserving by Removing Sensitive Data from Documents with Fully Convolutional Networks. (0)
Privacy Preserving by Removing Sensitive Data from Documents with Fully Convolutional Networks
, Privacy Preserving by Removing Sensitive Data from Documents with Fully Convolutional Networks, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13589 LNAI, 13589 LNAI, 277-285, 2023, Cites: 0
Grycuk R., Korytkowski M., Scherer R., Fuzzy-Based Solar Magnetogram Image Retrieval. (0)
Fuzzy-Based Solar Magnetogram Image Retrieval
, Fuzzy-Based Solar Magnetogram Image Retrieval, IEEE International Conference on Fuzzy Systems, 2023, Cites: 0
Korytkowski M., Nowak J., Scherer R., Detecting Sensitive Data with GANs and Fully Convolutional Networks. (0)
Detecting Sensitive Data with GANs and Fully Convolutional Networks
, Detecting Sensitive Data with GANs and Fully Convolutional Networks, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13995 LNAI, 13995 LNAI, 273-283, 2023, Cites: 02022 (1)
Grycuk R., Korytkowski M., Scherer R., Drozda P., Wei W., Kordos M., Fast Solar Image Retrieval and Classification by Fuzzy Rules. (1)
Fast Solar Image Retrieval and Classification by Fuzzy Rules
, Fast Solar Image Retrieval and Classification by Fuzzy Rules, IEEE International Conference on Fuzzy Systems, 2022-July, 2022-July, 2022, Cites: 12021 (1)
Pawlak M., Panesar G.S., Korytkowski M., A Novel Method for Invariant Image Reconstruction. (7)
A Novel Method for Invariant Image Reconstruction
, A Novel Method for Invariant Image Reconstruction, Journal of Artificial Intelligence and Soft Computing Research, 11, 11, 69-80, 2021, Cites: 72020 (9)
Korytkowski M., Senkerik R., Scherer M.M., Angryk R.A., Kordos M., Siwocha A., Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic. (27)
Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic
, Efficient Image Retrieval by Fuzzy Rules from Boosting and Metaheuristic, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 57-69, 2020, Cites: 27
Wei W., Ke Q., Nowak J., Korytkowski M., Scherer R., Wozniak M., Accurate and fast URL phishing detector: A convolutional neural network approach. (141)
Accurate and fast URL phishing detector: A convolutional neural network approach
, Accurate and fast URL phishing detector: A convolutional neural network approach, Computer Networks, 178, 178, 2020, Cites: 141
Nowak J., Korytkowski M., Scherer R., Discovering Sequential Patterns by Neural Networks. (2)
Discovering Sequential Patterns by Neural Networks
, Discovering Sequential Patterns by Neural Networks, Proceedings of the International Joint Conference on Neural Networks, 2020, Cites: 2
Nowak J., Milkowska K., Scherer M., Talun A., Korytkowski M., Job Offer Analysis Using Convolutional and Recurrent Convolutional Networks. (0)
Job Offer Analysis Using Convolutional and Recurrent Convolutional Networks
, Job Offer Analysis Using Convolutional and Recurrent Convolutional Networks, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12416 LNAI, 12416 LNAI, 380-387, 2020, Cites: 0
Korytkowski M., Scherer R., Szajerman D., Polap D., Wozniak M., Efficient visual classification by fuzzy rules. (6)
Efficient visual classification by fuzzy rules
, Efficient visual classification by fuzzy rules, IEEE International Conference on Fuzzy Systems, 2020-July, 2020-July, 2020, Cites: 6
Jouhari H., Lei D., Al-qaness M.A.A., Abd Elaziz M., Damasevicius R., Korytkowski M., Ewees A.A., Modified Harris Hawks optimizer for solving machine scheduling problems. (35)
Modified Harris Hawks optimizer for solving machine scheduling problems
, Modified Harris Hawks optimizer for solving machine scheduling problems, Symmetry, 12, 12, 2020, Cites: 35
Nowak J., Holotyak T., Korytkowski M., Scherer R., Voloshynovskiy S., Fingerprinting of url logs: Continuous user authentication from behavioural patterns. (4)
Fingerprinting of url logs: Continuous user authentication from behavioural patterns
, Fingerprinting of url logs: Continuous user authentication from behavioural patterns, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12140 LNCS, 12140 LNCS, 184-195, 2020, Cites: 4
Kozlowski K., Korytkowski M., Szajerman D., Visual analysis of computer game output video stream for gameplay metrics. (2)
Visual analysis of computer game output video stream for gameplay metrics
, Visual analysis of computer game output video stream for gameplay metrics, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12141 LNCS, 12141 LNCS, 538-552, 2020, Cites: 2
Polap D., Wozniak M., Korytkowski M., Scherer R., Encoder-Decoder Based CNN Structure for Microscopic Image Identification. (8)
Encoder-Decoder Based CNN Structure for Microscopic Image Identification
, Encoder-Decoder Based CNN Structure for Microscopic Image Identification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12532 LNCS, 12532 LNCS, 301-312, 2020, Cites: 82019 (3)
Lagiewka M., Korytkowski M., Scherer R., Distributed image retrieval with colour and keypoint features. (4)
Distributed image retrieval with colour and keypoint features
, Distributed image retrieval with colour and keypoint features, Journal of Information and Telecommunication, 3, 3, 430-445, 2019, Cites: 4
Korytkowski M., Nowak J., Nowicki R., Milkowska K., Scherer M., Goetzen P., Sequential Data Mining of Network Traffic in URL Logs. (0)
Sequential Data Mining of Network Traffic in URL Logs
, Sequential Data Mining of Network Traffic in URL Logs, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11508 LNAI, 11508 LNAI, 125-130, 2019, Cites: 0
Nowak J., Korytkowski M., Scherer R., Convolutional Recurrent Neural Networks for Computer Network Analysis. (1)
Convolutional Recurrent Neural Networks for Computer Network Analysis
, Convolutional Recurrent Neural Networks for Computer Network Analysis, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11730 LNCS, 11730 LNCS, 747-757, 2019, Cites: 12018 (3)
Nowicki R.K., Korytkowski M., Scherer R., Rough neural network ensemble for interval data classification. (3)
Rough neural network ensemble for interval data classification
, Rough neural network ensemble for interval data classification, IEEE International Conference on Fuzzy Systems, 2018-July, 2018-July, 2018, Cites: 3
Nowak J., Korytkowski M., Scherer R., Classification of computer network users with convolutional neural networks. (3)
Classification of computer network users with convolutional neural networks
, Classification of computer network users with convolutional neural networks, Proceedings of the 2018 Federated Conference on Computer Science and Information Systems, FedCSIS 2018, 501-504, 2018, Cites: 3
Nowak J., Korytkowski M., Nowicki R., Scherer R., Siwocha A., Random forests for profiling computer network users. (11)
Random forests for profiling computer network users
, Random forests for profiling computer network users, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 734-739, 2018, Cites: 112017 (3)
Korytkowski M., Novel visual information indexing in relational databases. (17)
Novel visual information indexing in relational databases
, Novel visual information indexing in relational databases, Integrated Computer-Aided Engineering, 24, 24, 119-128, 2017, Cites: 17
Lagiewka M., Korytkowski M., Scherer R., Distributed image retrieval with color and keypoint features. (3)
Distributed image retrieval with color and keypoint features
, Distributed image retrieval with color and keypoint features, Proceedings - 2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2017, 45-50, 2017, Cites: 3
Zebik M., Korytkowski M., Angryk R., Scherer R., Convolutional neural networks for time series classification. (7)
Convolutional neural networks for time series classification
, Convolutional neural networks for time series classification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10246 LNAI, 10246 LNAI, 635-642, 2017, Cites: 72016 (7)
Rutkowski L., Korytkowski M., Scherer R., Tadeusiewicz R., Zadeh L.A., Zurada J.M., Artificial intelligence and soft computing: 15th international conference, ICAISC 2016 Zakopane, Poland, June 12-16, 2016 proceedings, Part I. (0)
Artificial intelligence and soft computing: 15th international conference, ICAISC 2016 Zakopane, Poland, June 12-16, 2016 proceedings, Part I
, Artificial intelligence and soft computing: 15th international conference, ICAISC 2016 Zakopane, Poland, June 12-16, 2016 proceedings, Part I, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9692, 9692, 2016, Cites: 0
Korytkowski M., Rutkowski L., Scherer R., Fast image classification by boosting fuzzy classifiers. (141)
Fast image classification by boosting fuzzy classifiers
, Fast image classification by boosting fuzzy classifiers, Information Sciences, 327, 327, 175-182, 2016, Cites: 141
Duda P., Jaworski M., Pietruczuk L., Korytkowski M., Gabryel M., Scherer R., On the application of orthogonal series density estimation for image classification based on feature description. (1)
On the application of orthogonal series density estimation for image classification based on feature description
, On the application of orthogonal series density estimation for image classification based on feature description, Advances in Intelligent Systems and Computing, 364, 364, 529-540, 2016, Cites: 1
Korytkowski M., A novel convolutional neural network with glial cells. (2)
A novel convolutional neural network with glial cells
, A novel convolutional neural network with glial cells, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 670-679, 2016, Cites: 2
Korytkowski M., Staszewski P., Woldan P., Scherer R., Fast computing framework for convolutional neural networks. (2)
Fast computing framework for convolutional neural networks
, Fast computing framework for convolutional neural networks, Proceedings - 2016 IEEE International Conferences on Big Data and Cloud Computing, BDCloud 2016, Social Computing and Networking, SocialCom 2016 and Sustainable Computing and Communications, SustainCom 2016, 118-123, 2016, Cites: 2
Staszewski P., Woldan P., Korytkowski M., Scherer R., Wang L., Query-by-example image retrieval in Microsoft SQL server. (4)
Query-by-example image retrieval in Microsoft SQL server
, Query-by-example image retrieval in Microsoft SQL server, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 746-754, 2016, Cites: 4
Najgebauer P., Korytkowski M., Barranco C.D., Scherer R., Novel image descriptor based on color spatial distribution. (2)
Novel image descriptor based on color spatial distribution
, Novel image descriptor based on color spatial distribution, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 712-722, 2016, Cites: 22015 (7)
Ferdowsi S., Voloshynovskiy S., Kostadinov D., Korytkowski M., Scherer R., Secure representation of images using multi-layer compression. (3)
Secure representation of images using multi-layer compression
, Secure representation of images using multi-layer compression, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 696-705, 2015, Cites: 3
Gabryel M., Grycuk R., Korytkowski M., Holotyak T., Image indexing and retrieval using GSOM algorithm. (17)
Image indexing and retrieval using GSOM algorithm
, Image indexing and retrieval using GSOM algorithm, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 706-714, 2015, Cites: 17
Nowicki R.K., Korytkowski M., Nowak B.A., Scherer R., Design methodology for rough neuro-fuzzy classification with missing data. (5)
Design methodology for rough neuro-fuzzy classification with missing data
, Design methodology for rough neuro-fuzzy classification with missing data, Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015, 1650-1657, 2015, Cites: 5
Szarek A., Korytkowski M., Rutkowski L., Scherer M., Szyprowski J., Kostadinov D., Customization of joint articulations using soft computing methods. (1)
Customization of joint articulations using soft computing methods
, Customization of joint articulations using soft computing methods, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 151-160, 2015, Cites: 1
Romanowski J., Korytkowski M., Scherer R., Efficient bone detector and geometric descriptor for x-ray imaging. (2)
Efficient bone detector and geometric descriptor for x-ray imaging
, Efficient bone detector and geometric descriptor for x-ray imaging, Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015, 1337-1342, 2015, Cites: 2
Korytkowski M., Scherer R., Staszewski P., Woldan P., Bag-of-features image indexing and classification in microsoft SQL server relational database. (10)
Bag-of-features image indexing and classification in microsoft SQL server relational database
, Bag-of-features image indexing and classification in microsoft SQL server relational database, Proceedings - 2015 IEEE 2nd International Conference on Cybernetics, CYBCONF 2015, 478-482, 2015, Cites: 10
Korytkowski M., Scherer M., Ferdowsi S., Software framework for modular machine learning systems. (0)
Software framework for modular machine learning systems
, Software framework for modular machine learning systems, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9120, 9120, 760-767, 2015, Cites: 02014 (7)
Grycuk R., Gabryel M., Korytkowski M., Scherer R., Content-Based Image Indexing by Data Clustering and Inverse Document Frequency. (26)
Content-Based Image Indexing by Data Clustering and Inverse Document Frequency
, Content-Based Image Indexing by Data Clustering and Inverse Document Frequency, Communications in Computer and Information Science, 424, 424, 374-383, 2014, Cites: 26
Nowak T., Najgebauer P., Romanowski J., Gabryel M., Korytkowski M., Scherer R., Kostadinov D., Spatial keypoint representation for visual object retrieval. (4)
Spatial keypoint representation for visual object retrieval
, Spatial keypoint representation for visual object retrieval, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 639-650, 2014, Cites: 4
Grycuk R., Gabryel M., Korytkowski M., Scherer R., Voloshynovskiy S., From single image to list of objects based on edge and blob detection. (32)
From single image to list of objects based on edge and blob detection
, From single image to list of objects based on edge and blob detection, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 605-615, 2014, Cites: 32
Nowak T., Gabryel M., Korytkowski M., Scherer R., Comparing images based on histograms of local interest points. (3)
Comparing images based on histograms of local interest points
, Comparing images based on histograms of local interest points, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8384 LNCS, 8384 LNCS, 423-432, 2014, Cites: 3
Najgebauer P., Nowak T., Romanowski J., Gabryel M., Korytkowski M., Scherer R., Content-based image retrieval by dictionary of local feature descriptors. (5)
Content-based image retrieval by dictionary of local feature descriptors
, Content-based image retrieval by dictionary of local feature descriptors, Proceedings of the International Joint Conference on Neural Networks, 512-517, 2014, Cites: 5
Ferdowsi S., Voloshynovskiy S., Gabryel M., Korytkowski M., Multi-class classification: A coding based space partitioning. (2)
Multi-class classification: A coding based space partitioning
, Multi-class classification: A coding based space partitioning, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8468 LNAI, 8468 LNAI, 593-604, 2014, Cites: 2
Grycuk R., Gabryel M., Korytkowski M., Romanowski J., Scherer R., Improved digital image segmentation based on stereo vision and mean shift algorithm. (13)
Improved digital image segmentation based on stereo vision and mean shift algorithm
, Improved digital image segmentation based on stereo vision and mean shift algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8384 LNCS, 8384 LNCS, 433-443, 2014, Cites: 132013 (2)
Najgebauer P., Nowak T., Romanowski J., Rygal J., Korytkowski M., Representation of edge detection results based on graph theory. (4)
Representation of edge detection results based on graph theory
, Representation of edge detection results based on graph theory, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 588-601, 2013, Cites: 4
Gabryel M., Korytkowski M., Scherer R., Rutkowski L., Object detection by simple fuzzy classifiers generated by boosting. (24)
Object detection by simple fuzzy classifiers generated by boosting
, Object detection by simple fuzzy classifiers generated by boosting, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 540-547, 2013, Cites: 242012 (4)
Najgebauer P., Nowak T., Romanowski J., Rygal J., Korytkowski M., Scherer R., Novel method for parasite detection in microscopic samples. (4)
Novel method for parasite detection in microscopic samples
, Novel method for parasite detection in microscopic samples, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 551-558, 2012, Cites: 4
Szarek A., Korytkowski M., Rutkowski L., Scherer R., Szyprowski J., Application of neural networks in assessing changes around implant after total hip arthroplasty. (23)
Application of neural networks in assessing changes around implant after total hip arthroplasty
, Application of neural networks in assessing changes around implant after total hip arthroplasty, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7268 LNAI, 7268 LNAI, 335-340, 2012, Cites: 23
Szarek A., Korytkowski M., Rutkowski L., Scherer R., Szyprowski J., Forecasting wear of head and acetabulum in hip joint implant. (14)
Forecasting wear of head and acetabulum in hip joint implant
, Forecasting wear of head and acetabulum in hip joint implant, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7268 LNAI, 7268 LNAI, 341-346, 2012, Cites: 14
Duda P., Korytkowski M., On the strong convergence of the recursive orthogonal series-type kernel probabilistic neural networks handling time-varying noise. (0)
On the strong convergence of the recursive orthogonal series-type kernel probabilistic neural networks handling time-varying noise
, On the strong convergence of the recursive orthogonal series-type kernel probabilistic neural networks handling time-varying noise, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7267 LNAI, 7267 LNAI, 55-62, 2012, Cites: 02011 (2)
Korytkowski M., Rutkowski L., Scherer R., Rule base normalization in Takagi-Sugeno ensemble. (3)
Rule base normalization in Takagi-Sugeno ensemble
, Rule base normalization in Takagi-Sugeno ensemble, IEEE SSCI 2011 - Symposium Series on Computational Intelligence - HIMA 2011: 2011 IEEE Workshop on Hybrid Intelligent Models and Applications, 1-5, 2011, Cites: 3
Korytkowski M., Nowicki R., Rutkowski L., Scherer R., AdaBoost ensemble of DCOG rough-neuro-fuzzy systems. (25)
AdaBoost ensemble of DCOG rough-neuro-fuzzy systems
, AdaBoost ensemble of DCOG rough-neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6922 LNAI, 6922 LNAI, 62-71, 2011, Cites: 252010 (5)
Korytkowski M., Nowicki R.K., Scherer R., Rutkowski L., MICOG defuzzification rough-neuro-fuzzy system ensemble. (5)
MICOG defuzzification rough-neuro-fuzzy system ensemble
, MICOG defuzzification rough-neuro-fuzzy system ensemble, 2010 IEEE World Congress on Computational Intelligence, WCCI 2010, 2010, Cites: 5
Korytkowski M., Scherer R., Negative correlation learning of neuro-fuzzy system ensembles. (6)
Negative correlation learning of neuro-fuzzy system ensembles
, Negative correlation learning of neuro-fuzzy system ensembles, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 114-119, 2010, Cites: 6
Korytkowski M., Scherer R., Modular neuro-fuzzy systems based on generalized parametric triangular norms. (2)
Modular neuro-fuzzy systems based on generalized parametric triangular norms
, Modular neuro-fuzzy systems based on generalized parametric triangular norms, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6067 LNCS, 6067 LNCS, 332-339, 2010, Cites: 2
Korytkowski M., Rutkowski L., Scherer R., Szarek A., Neural network-based assessment of femur stress after hip joint alloplasty. (0)
Neural network-based assessment of femur stress after hip joint alloplasty
, Neural network-based assessment of femur stress after hip joint alloplasty, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 621-626, 2010, Cites: 0
Gabryel M., Korytkowski M., Pokropinska A., Scherer R., Drozda S., Evolutionary learning for neuro-fuzzy ensembles with generalized parametric triangular norms. (1)
Evolutionary learning for neuro-fuzzy ensembles with generalized parametric triangular norms
, Evolutionary learning for neuro-fuzzy ensembles with generalized parametric triangular norms, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 74-79, 2010, Cites: 12009 (1)
Korytkowski M., Nowicki R., Scherer R., Neuro-fuzzy rough classifier ensemble. (27)
Neuro-fuzzy rough classifier ensemble
, Neuro-fuzzy rough classifier ensemble, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5768 LNCS, 5768 LNCS, 817-823, 2009, Cites: 272008 (5)
Korytkowski M., Gabryel M., Rutkowski L., Drozda S., Evolutionary methods to create interpretable modular system. (13)
Evolutionary methods to create interpretable modular system
, Evolutionary methods to create interpretable modular system, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 405-413, 2008, Cites: 13
Starczewski J., Scherer R., Korytkowski M., Nowicki R., Modular type-2 neuro-fuzzy systems. (21)
Modular type-2 neuro-fuzzy systems
, Modular type-2 neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4967 LNCS, 4967 LNCS, 570-578, 2008, Cites: 21
Scherer R., Korytkowski M., Nowicki R., Rutkowski L., Modular rough neuro-fuzzy systems for classification. (3)
Modular rough neuro-fuzzy systems for classification
, Modular rough neuro-fuzzy systems for classification, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4967 LNCS, 4967 LNCS, 540-548, 2008, Cites: 3
Korytkowski M., Rutkowski L., Scherer R., From ensemble of fuzzy classifiers to single fuzzy rule base classifier. (62)
From ensemble of fuzzy classifiers to single fuzzy rule base classifier
, From ensemble of fuzzy classifiers to single fuzzy rule base classifier, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 265-272, 2008, Cites: 62
Korytkowski M., Nowicki R., Scherer R., Rutkowski L., Ensemble of rough-neuro-fuzzy systems for classification with missing features. (14)
Ensemble of rough-neuro-fuzzy systems for classification with missing features
, Ensemble of rough-neuro-fuzzy systems for classification with missing features, IEEE International Conference on Fuzzy Systems, 1745-1750, 2008, Cites: 142007 (2)
Korytkowski M., Rutkowski L., Scherer R., Drozda G., On obtaining fuzzy rule base from ensemble of Takagi-Sugeno systems. (1)
On obtaining fuzzy rule base from ensemble of Takagi-Sugeno systems
, On obtaining fuzzy rule base from ensemble of Takagi-Sugeno systems, Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007, 234-237, 2007, Cites: 1
Korytkowski M., Rutkowski L., Scherer R., On speeding up the learning process of neuro-fuzzy ensembles generated by the adaboost algorithm. (0)
On speeding up the learning process of neuro-fuzzy ensembles generated by the adaboost algorithm
, On speeding up the learning process of neuro-fuzzy ensembles generated by the adaboost algorithm, Advances in Soft Computing, 45, 45, 319-326, 2007, Cites: 02006 (3)
Korytkowski M., Nowicki R., Rutkowski L., Scherer R., Merging ensemble of neuro-fuzzy systems. (7)
Merging ensemble of neuro-fuzzy systems
, Merging ensemble of neuro-fuzzy systems, IEEE International Conference on Fuzzy Systems, 1954-1957, 2006, Cites: 7
Korytkowski M., Nowicki R., Rutkowski L., Scherer R., Combining logical-type neuro-fuzzy systems. (1)
Combining logical-type neuro-fuzzy systems
, Combining logical-type neuro-fuzzy systems, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4029 LNAI, 4029 LNAI, 240-249, 2006, Cites: 1
Korytkowski M., Rutkowski L., Scherer R., On combining backpropagation with boosting. (58)
On combining backpropagation with boosting
, On combining backpropagation with boosting, IEEE International Conference on Neural Networks - Conference Proceedings, 1274-1277, 2006, Cites: 582004 (2)
Korytkowski M., Gabryel M., Nowicki R., Scherer R., Genetic algorithm for database indexing. (4)
Genetic algorithm for database indexing
, Genetic algorithm for database indexing, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3070, 3070, 1142-1147, 2004, Cites: 4
Korytkowski M., Gabryel M., Gaweda A., Recursive probabilistic neural networks. (3)
