Contact:
Room: 155
Position:
Full Professor
Research teams:
Nowe systemy głębokiego uczenia i ich zastosowania
Classes:
Systemy rozmyte i przetwarzanie niepewności lab
Systemy rozmyte i przetwarzanie niepewności wyk
Bezpieczeństwo komunikacji elektronicznej wyk
Prof. PhD DSc Eng
Robert Nowicki
Office hours: wtorek 10-12, p. 2 WIMiI
Papers (102)
2020 (1)
Robert K Nowicki and Konrad Grzanek and Yoichi Hayashi, Rough support vector machine for classification with interval and incomplete data. (12)
Rough support vector machine for classification with interval and incomplete data
, Rough support vector machine for classification with interval and incomplete data, 2020, Cites: 122019 (12)
Robert K Nowicki and Janusz T Starczewski and Rafal Grycuk, Extended Possibilistic Fuzzification for Classification.. (1)
Extended Possibilistic Fuzzification for Classification.
, Extended Possibilistic Fuzzification for Classification., 343-350, 2019, Cites: 1
Robert K Nowicki, Rough Fuzzy Classification Systems. (1)
Rough Fuzzy Classification Systems
, Rough Fuzzy Classification Systems, Springer, Cham, 17-70, 2019, Cites: 1
Robert K Nowicki, Fuzzy Rough Classification Systems. (0)
Fuzzy Rough Classification Systems
, Fuzzy Rough Classification Systems, Springer, Cham, 71-93, 2019, Cites: 0
Robert K Nowicki, Rough set theory fundamentals. (4)
Rough set theory fundamentals
, Rough set theory fundamentals, Springer, Cham, 7-16, 2019, Cites: 4
Robert K Nowicki, Rough Neural Network Classifier. (1)
Rough Neural Network Classifier
, Rough Neural Network Classifier, Springer, Cham, 95-132, 2019, Cites: 1
Marcin Korytkowski and Jakub Nowak and Robert Nowicki and Kamila Milkowska and Magdalena Scherer and Piotr Goetzen, Sequential Data Mining of Network Traffic in URL Logs. (1)
Sequential Data Mining of Network Traffic in URL Logs
, Sequential Data Mining of Network Traffic in URL Logs, Springer, Cham, 125-130, 2019, Cites: 1
Rafal Grycuk and Patryk Najgebauer and Robert Nowicki and Rafal Scherer, Multilayer Architecture for Content-based Image Retrieval Systems. (4)
Multilayer Architecture for Content-based Image Retrieval Systems
, Multilayer Architecture for Content-based Image Retrieval Systems, IEEE, 119-126, 2019, Cites: 4
Janusz T Starczewski and Robert K Nowicki and Katarzyna Nieszporek, Fuzzy-rough Fuzzification in General FL Classifiers.. (2)
Fuzzy-rough Fuzzification in General FL Classifiers.
, Fuzzy-rough Fuzzification in General FL Classifiers., 335-342, 2019, Cites: 2
Tomasz Rutkowski and Krystian Łapa and Robert Nowicki and Radosław Nielek and Konrad Grzanek, On explainable recommender systems based on fuzzy rule generation techniques. (7)
On explainable recommender systems based on fuzzy rule generation techniques
, On explainable recommender systems based on fuzzy rule generation techniques, Springer, Cham, 358-372, 2019, Cites: 7
Robert K Nowicki, Ensembles of Rough Set–Based Classifiers. (0)
Ensembles of Rough Set–Based Classifiers
, Ensembles of Rough Set–Based Classifiers, Springer, Cham, 161-184, 2019, Cites: 0
Robert K Nowicki, Rough Nearest Neighbour Classifier. (3)
Rough Nearest Neighbour Classifier
, Rough Nearest Neighbour Classifier, Springer, Cham, 133-159, 2019, Cites: 3
Robert K Nowicki, Rough Set-Based Classification Systems. (5)
Rough Set-Based Classification Systems
, Rough Set-Based Classification Systems, Springer, 2019, Cites: 52018 (2)
Jakub Nowak and Marcin Korytkowski and Robert Nowicki and Rafał Scherer and Agnieszka Siwocha, Random forests for profiling computer network users. (10)
Random forests for profiling computer network users
, Random forests for profiling computer network users, Springer, Cham, 734-739, 2018, Cites: 10
Robert K Nowicki and Marcin Korytkowski and Rafal Scherer, Rough neural network ensemble for interval data classification. (4)
Rough neural network ensemble for interval data classification
, Rough neural network ensemble for interval data classification, IEEE, 1-7, 2018, Cites: 42017 (3)
Robert K Nowicki and Janusz T Starczewski, A new method for classification of imprecise data using fuzzy rough fuzzification. (22)
A new method for classification of imprecise data using fuzzy rough fuzzification
, A new method for classification of imprecise data using fuzzy rough fuzzification, Elsevier, 33-52, 2017, Cites: 22
Tomasz Kapuściński and Robert K Nowicki and Christian Napoli, Comparison of effectiveness of multi-objective genetic algorithms in optimization of invertible s-boxes. (8)
Comparison of effectiveness of multi-objective genetic algorithms in optimization of invertible s-boxes
, Comparison of effectiveness of multi-objective genetic algorithms in optimization of invertible s-boxes, Springer, Cham, 466-476, 2017, Cites: 8
Tomasz Olas and Wojciech K Mleczko and Marcin Wozniak and Robert K Nowicki and Pawel Gepner, Performance Evaluation of DBN Learning on Intel Multi-and Manycore Architectures. (0)
Performance Evaluation of DBN Learning on Intel Multi-and Manycore Architectures
, Performance Evaluation of DBN Learning on Intel Multi-and Manycore Architectures, Springer, Cham, 565-575, 2017, Cites: 02016 (9)
Marcin Wo'zniak and Zbigniew Marszalek and Marcin Gabryel and Robert K Nowicki, Preprocessing Large Data Sets by the Use of Quick Sort Algorithm. (0)
Preprocessing Large Data Sets by the Use of Quick Sort Algorithm
, Preprocessing Large Data Sets by the Use of Quick Sort Algorithm, 111-121, 2016, Cites: 0
Robert K Nowicki and Rafal Scherer and Leszek Rutkowski, Novel rough neural network for classification with missing data. (10)
Novel rough neural network for classification with missing data
, Novel rough neural network for classification with missing data, IEEE, 820-825, 2016, Cites: 10
Marcin Woźniak and Zbigniew Marszałek and Marcin Gabryel and Robert K Nowicki, Preprocessing large data sets by the use of quick sort algorithm. (28)
Preprocessing large data sets by the use of quick sort algorithm
, Preprocessing large data sets by the use of quick sort algorithm, Springer, Cham, 111-121, 2016, Cites: 28
Marcin Woźniak and Marcin Gabryel and Robert K Nowicki and Bartosz A Nowak, An application of firefly algorithm to position traffic in NoSQL database systems. (18)
An application of firefly algorithm to position traffic in NoSQL database systems
, An application of firefly algorithm to position traffic in NoSQL database systems, Springer, Cham, 259-272, 2016, Cites: 18
Tomasz Kapuściński and Robert K Nowicki and Christian Napoli, Application of genetic algorithms in the construction of invertible substitution boxes. (13)
Application of genetic algorithms in the construction of invertible substitution boxes
, Application of genetic algorithms in the construction of invertible substitution boxes, Springer, Cham, 380-391, 2016, Cites: 13
Wojciech K Mleczko and Robert K Nowicki and Rafał Angryk, Rough restricted boltzmann machine–new architecture for incomplete input data. (5)
Rough restricted boltzmann machine–new architecture for incomplete input data
, Rough restricted boltzmann machine–new architecture for incomplete input data, Springer, Cham, 114-125, 2016, Cites: 5
Robert K Nowicki and Bartosz A Nowak and Marcin Woźniak, Application of rough sets in k nearest neighbours algorithm for classification of incomplete samples. (13)
Application of rough sets in k nearest neighbours algorithm for classification of incomplete samples
, Application of rough sets in k nearest neighbours algorithm for classification of incomplete samples, Springer, Cham, 243-257, 2016, Cites: 13
Rafał Grycuk and Marcin Gabryel and Robert Nowicki and Rafał Scherer, Content-based image retrieval optimization by differential evolution. (18)
Content-based image retrieval optimization by differential evolution
, Content-based image retrieval optimization by differential evolution, IEEE, 86-93, 2016, Cites: 18
Wojciech M Kempa and Marcin Woźniak and Robert K Nowicki and Marcin Gabryel and Robertas Damaševicius, Transient Solution for Queueing Delay Distribution in the GI/M/1/K-type Mode with “Queued” Waking up and Balking. (9)
Transient Solution for Queueing Delay Distribution in the GI/M/1/K-type Mode with “Queued” Waking up and Balking
, Transient Solution for Queueing Delay Distribution in the GI/M/1/K-type Mode with “Queued” Waking up and Balking, Springer, Cham, 340-351, 2016, Cites: 92015 (9)
Tomasz Olas and Wojciech K Mleczko and Robert K Nowicki and Roman Wyrzykowski and Adam Krzyzak, Adaptation of RBM learning for intel MIC architecture. (6)
Adaptation of RBM learning for intel MIC architecture
, Adaptation of RBM learning for intel MIC architecture, Springer, Cham, 90-101, 2015, Cites: 6
Tomasz Olas and Wojciech K Mleczko and Robert K Nowicki and Roman Wyrzykowski, Adaptation of deep belief networks to modern multicore architectures. (6)
Adaptation of deep belief networks to modern multicore architectures
, Adaptation of deep belief networks to modern multicore architectures, Springer, Cham, 459-472, 2015, Cites: 6
Robert K Nowicki and Marcin Korytkowski and Bartosz A Nowak and Rafal Scherer, Design methodology for rough neuro-fuzzy classification with missing data. (4)
Design methodology for rough neuro-fuzzy classification with missing data
, Design methodology for rough neuro-fuzzy classification with missing data, IEEE, 1650-1657, 2015, Cites: 4
Christian Napoli and Giuseppe Pappalardo and Emiliano Tramontana and Robert K Nowicki and Janusz T Starczewski and Marcin Woźniak, Toward work groups classification based on probabilistic neural network approach. (33)
Toward work groups classification based on probabilistic neural network approach
, Toward work groups classification based on probabilistic neural network approach, Springer, Cham, 79-89, 2015, Cites: 33
Wojciech K Mleczko and Tomasz Kapuściński and Robert K Nowicki, Rough deep belief network-application to incomplete handwritten digits pattern classification. (19)
Rough deep belief network-application to incomplete handwritten digits pattern classification
, Rough deep belief network-application to incomplete handwritten digits pattern classification, Springer, Cham, 400-411, 2015, Cites: 19
Marcin Woźniak and Dawid Połap and Marcin Gabryel and Robert K Nowicki and Christian Napoli and Emiliano Tramontana, Can we process 2d images using artificial bee colony?. (32)
Can we process 2d images using artificial bee colony?
, Can we process 2d images using artificial bee colony?, Springer, Cham, 660-671, 2015, Cites: 32
Marcin Wozniak and Christian Napoli and Emiliano Tramontana and Giacomo Capizzi and Grazia Lo Sciuto and Robert K Nowicki and Janusz T Starczewski, A multiscale image compressor with rbfnn and discrete wavelet decomposition. (29)
A multiscale image compressor with rbfnn and discrete wavelet decomposition
, A multiscale image compressor with rbfnn and discrete wavelet decomposition, IEEE, 1-7, 2015, Cites: 29
Marcin Wózniak and Dawid Połap and Robert K Nowicki and Christian Napoli and Giuseppe Pappalardo and Emiliano Tramontana, Novel approach toward medical signals classifier. (30)
Novel approach toward medical signals classifier
, Novel approach toward medical signals classifier, IEEE, 1-7, 2015, Cites: 30
Bartosz A Nowak and Robert K Nowicki and Marcin Woźniak and Christian Napoli, Multi-class nearest neighbour classifier for incomplete data handling. (38)
Multi-class nearest neighbour classifier for incomplete data handling
, Multi-class nearest neighbour classifier for incomplete data handling, Springer, Cham, 469-480, 2015, Cites: 382014 (7)
Marcin Woźniak and Wojciech M Kempa and Marcin Gabryel and Robert K Nowicki and Zhifei Shao, On applying evolutionary computation methods to optimization of vacation cycle costs in finite-buffer queue. (38)
On applying evolutionary computation methods to optimization of vacation cycle costs in finite-buffer queue
, On applying evolutionary computation methods to optimization of vacation cycle costs in finite-buffer queue, Springer, Cham, 480-491, 2014, Cites: 38
Robert Nowicki and Bartosz A Nowak and Marcin Woźniak, Rough k nearest neighbours for classification in the case of missing input data. (9)
Rough k nearest neighbours for classification in the case of missing input data
, Rough k nearest neighbours for classification in the case of missing input data, 196–207, 2014, Cites: 9
Janusz T Starczewski and Robert K Nowicki and Bartosz A Nowak, Genetic fuzzy classifier with fuzzy rough sets for imprecise data. (9)
Genetic fuzzy classifier with fuzzy rough sets for imprecise data
, Genetic fuzzy classifier with fuzzy rough sets for imprecise data, IEEE, 1382-1389, 2014, Cites: 9
Robert K Nowicki and Bartosz A Nowak and Janusz T Starczewski and Krzysztof Cpałka, The learning of neuro-fuzzy approximator with fuzzy rough sets in case of missing features. (10)
The learning of neuro-fuzzy approximator with fuzzy rough sets in case of missing features
, The learning of neuro-fuzzy approximator with fuzzy rough sets in case of missing features, IEEE, 3759-3766, 2014, Cites: 10
Marcin Woźniak and Marcin Gabryel and Robert Konrad Nowicki and Bartosz Antoni Nowak, A novel approach to position traffic in nosql database systems by the use of firefly algorithm. (4)
A novel approach to position traffic in nosql database systems by the use of firefly algorithm
, A novel approach to position traffic in nosql database systems by the use of firefly algorithm, 2014, Cites: 4
Bartosz A Nowak and Robert K Nowicki and Janusz T Starczewski and Antonino Marvuglia, The learning of neuro-fuzzy classifier with fuzzy rough sets for imprecise datasets. (10)
The learning of neuro-fuzzy classifier with fuzzy rough sets for imprecise datasets
, The learning of neuro-fuzzy classifier with fuzzy rough sets for imprecise datasets, Springer, Cham, 256-266, 2014, Cites: 10
Marcin Woźniak and Wojciech M Kempa and Marcin Gabryel and Robert K Nowicki, A finite-buffer queue with a single vacation policy: An analytical study with evolutionary positioning. (49)
A finite-buffer queue with a single vacation policy: An analytical study with evolutionary positioning
, A finite-buffer queue with a single vacation policy: An analytical study with evolutionary positioning, 2014, Cites: 492013 (6)
Marcin Woźniak and Zbigniew Marszałek and Marcin Gabryel and Robert K Nowicki, Modified merge sort algorithm for large scale data sets. (35)
Modified merge sort algorithm for large scale data sets
, Modified merge sort algorithm for large scale data sets, Springer, Berlin, Heidelberg, 612-622, 2013, Cites: 35
M Woźniak and Z Marszałek and M Gabryel and RK Nowicki, On quick sort algorithm performance for large data sets. (10)
On quick sort algorithm performance for large data sets
, On quick sort algorithm performance for large data sets, 7-9, 2013, Cites: 10
Marcin Gabryel and Robert K Nowicki and Marcin Woźniak and Wojciech M Kempa, Genetic cost optimization of the GI/M/1/N finite-buffer queue with a single vacation policy. (33)
Genetic cost optimization of the GI/M/1/N finite-buffer queue with a single vacation policy
, Genetic cost optimization of the GI/M/1/N finite-buffer queue with a single vacation policy, Springer, Berlin, Heidelberg, 12-23, 2013, Cites: 33
M Woźniak and Z Marszałek and M Gabryel and RK Nowicki, Triple heap sort algorithm for large data sets. (14)
Triple heap sort algorithm for large data sets
, Triple heap sort algorithm for large data sets, 657-665, 2013, Cites: 14
Krzysztof Cpałka and Olga Rebrova and Robert Nowicki and Leszek Rutkowski, On design of flexible neuro-fuzzy systems for nonlinear modelling. (69)
On design of flexible neuro-fuzzy systems for nonlinear modelling
, On design of flexible neuro-fuzzy systems for nonlinear modelling, Routledge, 706-720, 2013, Cites: 69
Bartosz A Nowak and Robert K Nowicki and Wojciech K Mleczko, A new method of improving classification accuracy of decision tree in case of incomplete samples. (9)
A new method of improving classification accuracy of decision tree in case of incomplete samples
, A new method of improving classification accuracy of decision tree in case of incomplete samples, Springer, Berlin, Heidelberg, 448-458, 2013, Cites: 92012 (4)
L Rutkowski and K Cpałka and R Nowicki and A Pokropińska and R Scherer, Neuro-fuzzy SystemsNeuro-fuzzy systems (NFS). (4)
Neuro-fuzzy SystemsNeuro-fuzzy systems (NFS)
, Neuro-fuzzy SystemsNeuro-fuzzy systems (NFS), Springer, 2069-2081, 2012, Cites: 4
Marcin Gabryel and Marcin Woźniak and Robert K Nowicki, Creating learning sets for control systems using an evolutionary method. (31)
Creating learning sets for control systems using an evolutionary method
, Creating learning sets for control systems using an evolutionary method, Springer, Berlin, Heidelberg, 206-213, 2012, Cites: 31
Marcin Woźniak and Marcin Gabryel and R Nowicki, Simulation of the characteristics of the ball movement on a beam by the use of genetic algorithm. (0)
Simulation of the characteristics of the ball movement on a beam by the use of genetic algorithm
, Simulation of the characteristics of the ball movement on a beam by the use of genetic algorithm, 19--33, 2012, Cites: 0
Marcin Woźniak and Marcin Gabryel and R Nowicki, Model of decision support system for ball positioning relative to the center of mobile beam. (1)
Model of decision support system for ball positioning relative to the center of mobile beam
, Model of decision support system for ball positioning relative to the center of mobile beam, 2012, Cites: 12011 (3)
Bartosz A Nowak and Robert K Nowicki, Learning in rough-neuro-fuzzy system for data with missing values. (9)
Learning in rough-neuro-fuzzy system for data with missing values
, Learning in rough-neuro-fuzzy system for data with missing values, Springer, Berlin, Heidelberg, 501-510, 2011, Cites: 9
Krzysztof Cpałka and Olga Rebrova and Robert Nowicki and Leszek Rutkowski, On designing of flexible neuro-fuzzy systems for nonlinear modelling. (0)
On designing of flexible neuro-fuzzy systems for nonlinear modelling
, On designing of flexible neuro-fuzzy systems for nonlinear modelling, Springer, Berlin, Heidelberg, 147-154, 2011, Cites: 0
Marcin Korytkowski and Robert Nowicki and Leszek Rutkowski and Rafał Scherer, AdaBoost ensemble of DCOG rough–neuro–fuzzy systems. (26)
AdaBoost ensemble of DCOG rough–neuro–fuzzy systems
, AdaBoost ensemble of DCOG rough–neuro–fuzzy systems, Springer, Berlin, Heidelberg, 62-71, 2011, Cites: 262010 (3)
Robert K Nowicki and Janusz T Starczewski, On non-singleton fuzzification with DCOG defuzzification. (10)
On non-singleton fuzzification with DCOG defuzzification
, On non-singleton fuzzification with DCOG defuzzification, Springer, Berlin, Heidelberg, 168-174, 2010, Cites: 10
Marcin Korytkowski and Robert K Nowicki and Rafał Scherer and Leszek Rutkowski, MICOG defuzzification rough-neuro-fuzzy system ensemble. (4)
MICOG defuzzification rough-neuro-fuzzy system ensemble
, MICOG defuzzification rough-neuro-fuzzy system ensemble, IEEE, 1-6, 2010, Cites: 4
Robert Nowicki, On classification with missing data using rough-neuro-fuzzy systems. (37)
On classification with missing data using rough-neuro-fuzzy systems
, On classification with missing data using rough-neuro-fuzzy systems, De Gruyter Poland, 55, 2010, Cites: 372009 (5)
Robert Nowicki, Nonlinear modelling and classification based on the MICOG defuzzification. (19)
Nonlinear modelling and classification based on the MICOG defuzzification
, Nonlinear modelling and classification based on the MICOG defuzzification, Pergamon, e1033-e1047, 2009, Cites: 19
Robert Nowicki, Rough neuro-fuzzy structures for classification with missing data. (67)
Rough neuro-fuzzy structures for classification with missing data
, Rough neuro-fuzzy structures for classification with missing data, IEEE, 1334-1347, 2009, Cites: 67
Robert K Nowicki, Rozmyte systemy decyzyjne w zadaniach z ograniczoną wiedzą. (20)
Rozmyte systemy decyzyjne w zadaniach z ograniczoną wiedzą
, Rozmyte systemy decyzyjne w zadaniach z ograniczoną wiedzą, Akademicka Oficyna Wydawnicza Exit, 2009, Cites: 20
Leszek Rutkowski and Krzysztof Cpalka and Robert Nowicki and Agata Pokropinska and Rafal Scherer, Neuro-fuzzy Systems.. (5)
Neuro-fuzzy Systems.
, Neuro-fuzzy Systems., 6086-6099, 2009, Cites: 5
Marcin Korytkowski and Robert Nowicki and Rafał Scherer, Neuro-fuzzy rough classifier ensemble. (27)
Neuro-fuzzy rough classifier ensemble
, Neuro-fuzzy rough classifier ensemble, Springer, Berlin, Heidelberg, 817-823, 2009, Cites: 272008 (4)
L Rutkowski and R Nowicki and A Pokropińska, Metody projektowania rozmytych sterowników. (0)
Metody projektowania rozmytych sterowników
, Metody projektowania rozmytych sterowników, 2008, Cites: 0
Maciej Morkowski and Robert Nowicki, Information Theory Inspired Weighted Immune Classification Algorithm. (2)
Information Theory Inspired Weighted Immune Classification Algorithm
, Information Theory Inspired Weighted Immune Classification Algorithm, Springer, Berlin, Heidelberg, 652-660, 2008, Cites: 2
Marcin Korytkowski and Robert Nowicki and Rafal Scherer and Leszek Rutkowski, 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, 1745-1750, 2008, Cites: 14
Robert Nowicki, On combining neuro-fuzzy architectures with the rough set theory to solve classification problems with incomplete data. (42)
On combining neuro-fuzzy architectures with the rough set theory to solve classification problems with incomplete data
, On combining neuro-fuzzy architectures with the rough set theory to solve classification problems with incomplete data, IEEE, 1239-1253, 2008, Cites: 422007 (4)
Janusz Starczewski and Rafał Scherer and Marcin Korytkowski and Robert Nowicki, Modular type-2 neuro-fuzzy systems. (20)
Modular type-2 neuro-fuzzy systems
, Modular type-2 neuro-fuzzy systems, Springer, Berlin, Heidelberg, 570-578, 2007, Cites: 20
Rafał Scherer and Marcin Korytkowski and Robert Nowicki and Leszek Rutkowski, Modular rough neuro-fuzzy systems for classification. (3)
Modular rough neuro-fuzzy systems for classification
, Modular rough neuro-fuzzy systems for classification, Springer, Berlin, Heidelberg, 540-548, 2007, Cites: 3
Krzysztof Cpalka and Robert Nowicki and Leszek Rutkowski, Rough-neuro-fuzzy systems for classification. (3)
Rough-neuro-fuzzy systems for classification
, Rough-neuro-fuzzy systems for classification, IEEE, 1-8, 2007, Cites: 3
M Wozniak and R Nowicki, The role of fungi Malassezia spp. in etiopatology of skin diseases. (0)
The role of fungi Malassezia spp. in etiopatology of skin diseases
, The role of fungi Malassezia spp. in etiopatology of skin diseases, 265, 2007, Cites: 02006 (5)
M Wozniak and R Nowicki, Biologicals used in psoriasis treatment. (0)
Biologicals used in psoriasis treatment
, Biologicals used in psoriasis treatment, AD FONTES, 29, 2006, Cites: 0
Robert Nowicki, Rough-neuro-fuzzy system with MICOG defuzzification. (24)
Rough-neuro-fuzzy system with MICOG defuzzification
, Rough-neuro-fuzzy system with MICOG defuzzification, IEEE, 1958-1965, 2006, Cites: 24
Marcin Korytkowski and Robert Nowicki and Leszek Rutkowski and Rafał Scherer, Combining logical-type neuro-fuzzy systems. (1)
Combining logical-type neuro-fuzzy systems
, Combining logical-type neuro-fuzzy systems, Springer, Berlin, Heidelberg, 240-249, 2006, Cites: 1
Agata Pokropińska and Robert Nowicki and Rafał Scherer, Isolines of statistical information criteria for relational neuro-fuzzy system design. (1)
Isolines of statistical information criteria for relational neuro-fuzzy system design
, Isolines of statistical information criteria for relational neuro-fuzzy system design, Springer, Berlin, Heidelberg, 288-296, 2006, Cites: 1
Marcin Korytkowski and Robert Nowicki and Leszek Rutkowski and Rafal Scherer, Merging ensemble of neuro-fuzzy systems. (6)
Merging ensemble of neuro-fuzzy systems
, Merging ensemble of neuro-fuzzy systems, IEEE, 1954-1957, 2006, Cites: 62005 (1)
Robert Nowicki and Agata Pokropińska, Neuro-fuzzy structures and their comparative analyzes. (4)
Neuro-fuzzy structures and their comparative analyzes
, Neuro-fuzzy structures and their comparative analyzes, 203-208, 2005, Cites: 42004 (4)
Marcin Korytkowski and Marcin Gabryel and Robert Nowicki and Rafał Scherer, Genetic algorithm for database indexing. (4)
Genetic algorithm for database indexing
, Genetic algorithm for database indexing, Springer, Berlin, Heidelberg, 1142-1147, 2004, Cites: 4
Robert Nowicki, Rough sets in the neuro-fuzzy architectures based on monotonic fuzzy implications. (21)
Rough sets in the neuro-fuzzy architectures based on monotonic fuzzy implications
, Rough sets in the neuro-fuzzy architectures based on monotonic fuzzy implications, Springer, Berlin, Heidelberg, 510-517, 2004, Cites: 21
Robert Nowicki and Agata Pokropińska, Information criterions applied to neuro-fuzzy architectures design. (20)
Information criterions applied to neuro-fuzzy architectures design
, Information criterions applied to neuro-fuzzy architectures design, Springer, Berlin, Heidelberg, 332-337, 2004, Cites: 20
Robert Nowicki, Rough sets in the neuro-fuzzy architectures based on non-monotonic fuzzy implications. (25)
Rough sets in the neuro-fuzzy architectures based on non-monotonic fuzzy implications
, Rough sets in the neuro-fuzzy architectures based on non-monotonic fuzzy implications, Springer, Berlin, Heidelberg, 518-525, 2004, Cites: 252003 (4)
Robert Nowicki, Neuro-fuzzy versus non-parametric approach to system modeling and classification. (2)
Neuro-fuzzy versus non-parametric approach to system modeling and classification
, Neuro-fuzzy versus non-parametric approach to system modeling and classification, Springer, Berlin, Heidelberg, 632-640, 2003, Cites: 2
Robert Nowicki and Leszek Rutkowski, Soft techniques for bayesian classification. (15)
Soft techniques for bayesian classification
, Soft techniques for bayesian classification, Physica, Heidelberg, 537-544, 2003, Cites: 15
R Nowicki and R Scherer and L Rutkowski, A hierarchical neuro-fuzzy system based on S-implications. (7)
A hierarchical neuro-fuzzy system based on S-implications
, A hierarchical neuro-fuzzy system based on S-implications, IEEE, 321-325, 2003, Cites: 7
Robert Nowicki and Agata Pokropińska and Yoichi Hayashi, On designing of neuro-fuzzy systems. (2)
On designing of neuro-fuzzy systems
, On designing of neuro-fuzzy systems, Springer, Berlin, Heidelberg, 641-649, 2003, Cites: 22002 (3)
Robert Nowicki and Leszek Rutkowski, Rough-Neuro-Fuzzy System for Classification.. (11)
Rough-Neuro-Fuzzy System for Classification.
, Rough-Neuro-Fuzzy System for Classification., 463-466, 2002, Cites: 11
R Nowicki and R Scherer and L Rutkowski, A method for learning of hierarchical fuzzy systems. (23)
A method for learning of hierarchical fuzzy systems
, A method for learning of hierarchical fuzzy systems, IOS Press, Amsterdam, 124-129, 2002, Cites: 23
R Nowicki and R Scherer and L Rutkowski, A neuro-fuzzy system based on the hierarchical prioritized structure. (5)
A neuro-fuzzy system based on the hierarchical prioritized structure
, A neuro-fuzzy system based on the hierarchical prioritized structure, 192-198, 2002, Cites: 52001 (3)
R Nowicki and D Rutkowska, Competitive learning of neuro-fuzzy systems. (6)
Competitive learning of neuro-fuzzy systems
, Competitive learning of neuro-fuzzy systems, 17-19, 2001, Cites: 6
Danuta Rutkowska and Robert Nowicki and Yoichi Hayashi, Parallel processing by implication-based neuro-fuzzy systems. (7)
Parallel processing by implication-based neuro-fuzzy systems
, Parallel processing by implication-based neuro-fuzzy systems, Springer, Berlin, Heidelberg, 599-607, 2001, Cites: 7
Danuta Rutkowska and Leszek Rutkowski and Robert Nowicki, Neuro-fuzzy system with inference based on bounded product. (6)
Neuro-fuzzy system with inference based on bounded product
, Neuro-fuzzy system with inference based on bounded product, 104-109, 2001, Cites: 62000 (4)
RK Nowicki, Systemy rozmyto-neuronowe realizujące różne sposoby rozmytego wnioskowania. (1)
Systemy rozmyto-neuronowe realizujące różne sposoby rozmytego wnioskowania
, Systemy rozmyto-neuronowe realizujące różne sposoby rozmytego wnioskowania, 2000, Cites: 1
D Rutkowska and R Nowicki, New neuro-fuzzy architectures. (15)
New neuro-fuzzy architectures
, New neuro-fuzzy architectures, 82-87, 2000, Cites: 15
Danuta Rutkowska and Robert Nowicki and Leszek Rutkowski, Neuro-fuzzy architectures with various implication operators. (14)
Neuro-fuzzy architectures with various implication operators
, Neuro-fuzzy architectures with various implication operators, Physica, Heidelberg, 214-219, 2000, Cites: 14
D Rutkowska and R Nowicki, Implication-based neuro-fuzzy architectures. (50)
Implication-based neuro-fuzzy architectures
, Implication-based neuro-fuzzy architectures, 675-701, 2000, Cites: 501999 (6)
D Rutkowska and R Nowicki and L Rutkowski, Singleton and non-singleton fuzzy systems with nonparametric defuzzification. (13)
Singleton and non-singleton fuzzy systems with nonparametric defuzzification
, Singleton and non-singleton fuzzy systems with nonparametric defuzzification, Springer-Verlag, 292-301, 1999, Cites: 13
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R Nowicki and D Rutkowska, Fuzzy inference neural networks based on destructive and constructive approaches and their application to classification. (9)
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Danuta Rutkowska and Leszek Rutkowski and Robert Nowicki, On Processing of Noisy Data by Fuzzy Inference Neural Networks.. (8)
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Constructive and destructive approach to neuro fuzzy systems
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Danuta Rutkowska and Robert Nowicki and Leszek Rutkowski, Department of Computer Engineering Technical University of Czestochowa. (0)
