Leszek Rutkowski

According to our database1, Leszek Rutkowski authored at least 94 papers between 1982 and 2019.

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

Awards

IEEE Fellow

IEEE Fellow 2005, "For contributions to neurocomputing and flexible fuzzy systems.".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepage:

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Bibliography

2019
Exponential Stabilization for Hybrid Recurrent Neural Networks by Delayed Noises Rooted in Discrete Observations of State and Mode.
Neural Processing Letters, 2019

Corrigendum to 'How to adjust an ensemble size in stream data mining?' Information Sciences, vol. 381 (2017), pp. 46-54.
Inf. Sci., 2019

On the Hermite Series-Based Generalized Regression Neural Networks for Stream Data Mining.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

On Handling Missing Values in Data Stream Mining Algorithms Based on the Restricted Boltzmann Machine.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

On Proper Designing of Deep Structures for Image Classification.
Proceedings of the Artificial Intelligence and Soft Computing, 2019

Microscopic Sample Segmentation by Fully Convolutional Network for Parasite Detection.
Proceedings of the Artificial Intelligence and Soft Computing, 2019

Resource-Aware Data Stream Mining Using the Restricted Boltzmann Machine.
Proceedings of the Artificial Intelligence and Soft Computing, 2019

2018
New Splitting Criteria for Decision Trees in Stationary Data Streams.
IEEE Trans. Neural Netw. Learning Syst., 2018

Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks.
Inf. Sci., 2018

Convergent Time-Varying Regression Models for Data Streams: Tracking Concept Drift by the Recursive Parzen-Based Generalized Regression Neural Networks.
Int. J. Neural Syst., 2018

Online GRNN-Based Ensembles for Regression on Evolving Data Streams.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

Concept Drift Detection in Streams of Labelled Data Using the Restricted Boltzmann Machine.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

On the Global Convergence of the Parzen-Based Generalized Regression Neural Networks Applied to Streaming Data.
Proceedings of the Artificial Intelligence and Soft Computing, 2018

A Content-Based Recommendation System Using Neuro-Fuzzy Approach.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Fuzzy-Genetic Approach to Identity Verification Using a Handwritten Signature.
Proceedings of the Advances in Data Analysis with Computational Intelligence Methods, 2018

New Aspects of Interpretability of Fuzzy Systems for Nonlinear Modeling.
Proceedings of the Advances in Data Analysis with Computational Intelligence Methods, 2018

2017
How to adjust an ensemble size in stream data mining?
Inf. Sci., 2017

On applying the Restricted Boltzmann Machine to active concept drift detection.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

On ensemble components selection in data streams scenario with reoccurring concept-drift.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Novel method for joining missing line fragments for medical image analysis.
Proceedings of the 22nd International Conference on Methods and Models in Automation and Robotics, 2017

Heuristic Regression Function Estimation Methods for Data Streams with Concept Drift.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

2016
Fast image classification by boosting fuzzy classifiers.
Inf. Sci., 2016

A new algorithm for identity verification based on the analysis of a handwritten dynamic signature.
Appl. Soft Comput., 2016

Novel rough neural network for classification with missing data.
Proceedings of the 21st International Conference on Methods and Models in Automation and Robotics, 2016

A method for automatic adjustment of ensemble size in stream data mining.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Hybrid Splitting Criterion in Decision Trees for Data Stream Mining.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

2015
A New Method for Data Stream Mining Based on the Misclassification Error.
IEEE Trans. Neural Netw. Learning Syst., 2015

Customization of Joint Articulations Using Soft Computing Methods.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

Fast Dictionary Matching for Content-Based Image Retrieval.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

2014
Decision Trees for Mining Data Streams Based on the Gaussian Approximation.
IEEE Trans. Knowl. Data Eng., 2014

New method for the on-line signature verification based on horizontal partitioning.
Pattern Recognit., 2014

The CART decision tree for mining data streams.
Inf. Sci., 2014

The Parzen kernel approach to learning in non-stationary environment.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A novel application of Hoeffding's inequality to decision trees construction for data streams.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Decision Trees for Mining Data Streams Based on the McDiarmid's Bound.
IEEE Trans. Knowl. Data Eng., 2013

On design of flexible neuro-fuzzy systems for nonlinear modelling.
Int. J. General Systems, 2013

On a Splitting Criterion for Decision Trees in Data Streams.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013

Object Detection by Simple Fuzzy Classifiers Generated by Boosting.
Proceedings of the Artificial Intelligence and Soft Computing, 2013

2012
Novel Online Speed Profile Generation for Industrial Machine Tool Based on Flexible Neuro-Fuzzy Approximation.
IEEE Trans. Industrial Electronics, 2012

Forecasting Wear of Head and Acetabulum in Hip Joint Implant.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

Application of Neural Networks in Assessing Changes around Implant after Total Hip Arthroplasty.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

2011
On Designing of Flexible Neuro-Fuzzy Systems for Nonlinear Modelling.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, 2011

AdaBoost Ensemble of DCOG Rough-Neuro-Fuzzy Systems.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2011

Rule base normalization in Takagi-Sugeno ensemble.
Proceedings of the 2011 IEEE Workshop On Hybrid Intelligent Models And Applications, 2011

2010
Fuzzy Regression Modeling for Tool Performance Prediction and Degradation Detection.
Int. J. Neural Syst., 2010

An online approach towards self-generating fuzzy neural networks with applications.
Proceedings of the International Joint Conference on Neural Networks, 2010

Online Speed Profile Generation for Industrial Machine Tool Based on Neuro-fuzzy Approach.
Proceedings of the Artifical Intelligence and Soft Computing, 2010

Neural Network-Based Assessment of Femur Stress after Hip Joint Alloplasty.
Proceedings of the Artificial Intelligence and Soft Computing, 2010

Evolutionary Designing of Logic-Type Fuzzy Systems.
Proceedings of the Artifical Intelligence and Soft Computing, 2010

Fault Diagnosis of an Air-Handling Unit System Using a Dynamic Fuzzy-Neural Approach.
Proceedings of the Artificial Intelligence and Soft Computing, 2010

An Efficient Adaptive Fuzzy Neural Network (EAFNN) Approach for Short Term Load Forecasting.
Proceedings of the Artificial Intelligence and Soft Computing, 2010

On Automatic Design of Neuro-fuzzy Systems.
Proceedings of the Artificial Intelligence and Soft Computing, 2010

MICOG defuzzification rough-neuro-fuzzy system ensemble.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
Neuro-fuzzy Systems.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

A New Method for Complexity Reduction of Neuro-fuzzy Systems with Application to Differential Stroke Diagnosis.
Proceedings of the Artificial Neural Networks, 2009

2008
On Speeding Up the Learning Process of Neuro-fuzzy Ensembles Generated by the Adaboost Algorithm.
Proceedings of the Computer Recognition Systems 2, 2008

From Ensemble of Fuzzy Classifiers to Single Fuzzy Rule Base Classifier.
Proceedings of the Artificial Intelligence and Soft Computing, 2008

Evolutionary Methods to Create Interpretable Modular System.
Proceedings of the Artificial Intelligence and Soft Computing, 2008

Evolutionary Methods for Designing Neuro-fuzzy Modular Systems Combined by Bagging Algorithm.
Proceedings of the Artificial Intelligence and Soft Computing, 2008

On Differential Stroke Diagnosis by Neuro-fuzzy Structures.
Proceedings of the Artificial Intelligence and Soft Computing, 2008

An Application of Weighted Triangular Norms to Complexity Reduction of Neuro-fuzzy Systems.
Proceedings of the Artificial Intelligence and Soft Computing, 2008

Ensemble of rough-neuro-fuzzy systems for classification with missing features.
Proceedings of the FUZZ-IEEE 2008, 2008

Evolutionary learning of flexible neuro-fuzzy systems.
Proceedings of the FUZZ-IEEE 2008, 2008

Neuro-Fuzzy Systems and their Applications.
Proceedings of the 7th International Conference on Computer Information Systems and Industrial Management Applications, 2008

Computational intelligence - methods and techniques.
Springer, 2008

2007
Modular Rough Neuro-fuzzy Systems for Classification.
Proceedings of the Parallel Processing and Applied Mathematics, 2007

Rough-Neuro-Fuzzy Systems for Classification.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

On Obtaining Fuzzy Rule Base from Ensemble of Takagi-Sugeno Systems.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006
On Combining Backpropagation with Boosting.
Proceedings of the International Joint Conference on Neural Networks, 2006

Combining Logical-Type Neuro-fuzzy Systems.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

Evolutionary Learning of Mamdani-Type Neuro-fuzzy Systems.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

Merging Ensemble of Neuro-Fuzzy Systems.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

A New Method for Designing and Reduction of Neuro-Fuzzy Systems.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005
Connectionist Fuzzy Relational Systems.
Proceedings of the Computational Intelligence for Modelling and Prediction, 2005

Designing and learning of adjustable quasi-triangular norms with applications to neuro-fuzzy systems.
IEEE Trans. Fuzzy Systems, 2005

2004
Adaptive probabilistic neural networks for pattern classification in time-varying environment.
IEEE Trans. Neural Networks, 2004

Generalized regression neural networks in time-varying environment.
IEEE Trans. Neural Networks, 2004

Neuro-Fuzzy Relational Classifiers.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

Fuzzy Modelling with a Compromise Fuzzy Reasoning.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

Neuro-fuzzy systems derived from quasi-triangular norms.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003
Errata to "Flexible neuro-fuzzy systems".
IEEE Trans. Neural Networks, 2003

Flexible neuro-fuzzy systems.
IEEE Trans. Neural Networks, 2003

2002
Neuro-Fuzzy Inference Systems of Type 2.
Proceedings of the FSDK'02, 2002

Neuro-Fuzzy Relational Systems.
Proceedings of the FSDK'02, 2002

Rough-Neuro-Fuzzy System for Classification.
Proceedings of the FSDK'02, 2002

2001
Connectionist Structures of Type 2 Fuzzy Inference Systems.
Proceedings of the Parallel Processing and Applied Mathematics, 2001

A General Approach to Neuro-Fuzzy Systems.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

2000
On image compression by competitive neural networks and optimal linear predictors.
Signal Process. Image Commun., 2000

1999
On Processing of Noisy Data by Fuzzy Inference Neural Networks.
Proceedings of the Signal and Image Processing (SIP), 1999

1996
Neural networks and semi-closed-loop predictive vector quantization for image compression.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

1993
Multiple Fourier series procedures for extraction of nonlinear regressions from noisy data.
IEEE Trans. Signal Processing, 1993

1991
Identification of MISO nonlinear regressions in the presence of a wide class of disturbances.
IEEE Trans. Information Theory, 1991

1988
Sequential pattern recognition procedures derived from multiple Fourier series.
Pattern Recognit. Lett., 1988

1982
On Bayes Risk Consistent Pattern Recognition Procedures in a Quasi-Stationary Environment.
IEEE Trans. Pattern Anal. Mach. Intell., 1982


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