Contact:
Position:
Associate Professor
Classes:
Inteligent systems of signal processing lab
Inteligent systems of signal processing wyk
Diploma seminar and MSc thesis preparation sem
Eksploracja danych - data mining lab
Eksploracja danych - data mining wyk
Klasyczne metody analizy danych lab
Klasyczne metody analizy danych wyk
Intelligent system of signal processing lab
Intelligent system of signal processing wyk
PhD DSc
Piotr Duda
Papers (55)
2021 (1)
Piotr Duda and Leszek Rutkowski and Piotr Woldan and Patryk Najgebauer, The Streaming Approach to Training Restricted Boltzmann Machines. (0)
The Streaming Approach to Training Restricted Boltzmann Machines
, The Streaming Approach to Training Restricted Boltzmann Machines, Springer, Cham, 308-317, 2021, Cites: 02020 (19)
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Splitting Criteria with the Bias Term. (0)
Splitting Criteria with the Bias Term
, Splitting Criteria with the Bias Term, Springer, Cham, 83-89, 2020, Cites: 0
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Final Remarks and Challenging Problems. (0)
Final Remarks and Challenging Problems
, Final Remarks and Challenging Problems, Springer, Cham, 323-327, 2020, Cites: 0
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Probabilistic Neural Networks for the Streaming Data Classification. (2)
Probabilistic Neural Networks for the Streaming Data Classification
, Probabilistic Neural Networks for the Streaming Data Classification, Springer, Cham, 245-277, 2020, Cites: 2
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Basic concepts of data stream mining. (16)
Basic concepts of data stream mining
, Basic concepts of data stream mining, Springer, Cham, 13-33, 2020, Cites: 16
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Misclassification Error Impurity Measure. (0)
Misclassification Error Impurity Measure
, Misclassification Error Impurity Measure, Springer, Cham, 63-82, 2020, Cites: 0
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Regression. (0)
Regression
, Regression, Springer, Cham, 309-322, 2020, Cites: 0
Piotr Duda and Krzysztof Przybyszewski and Lipo Wang, A novel drift detection algorithm based on features’ importance analysis in a data streams environment. (6)
A novel drift detection algorithm based on features’ importance analysis in a data streams environment
, A novel drift detection algorithm based on features’ importance analysis in a data streams environment, 2020, Cites: 6
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, General Non-parametric Learning Procedure for Tracking Concept Drift. (0)
General Non-parametric Learning Procedure for Tracking Concept Drift
, General Non-parametric Learning Procedure for Tracking Concept Drift, Springer, Cham, 155-172, 2020, Cites: 0
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Stream data mining: Algorithms and their probabilistic properties. (37)
Stream data mining: Algorithms and their probabilistic properties
, Stream data mining: Algorithms and their probabilistic properties, Springer, 2020, Cites: 37
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Basic Concepts of Probabilistic Neural Networks. (0)
Basic Concepts of Probabilistic Neural Networks
, Basic Concepts of Probabilistic Neural Networks, Springer, Cham, 117-154, 2020, Cites: 0
Piotr Woldan and Piotr Duda and Yoichi Hayashi, Visual Hybrid Recommendation Systems Based on the Content-Based Filtering. (2)
Visual Hybrid Recommendation Systems Based on the Content-Based Filtering
, Visual Hybrid Recommendation Systems Based on the Content-Based Filtering, Springer, Cham, 455-465, 2020, Cites: 2
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, The General Procedure of Ensembles Construction in Data Stream Scenarios. (0)
The General Procedure of Ensembles Construction in Data Stream Scenarios
, The General Procedure of Ensembles Construction in Data Stream Scenarios, Springer, Cham, 281-286, 2020, Cites: 0
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Splitting Criteria Based on the McDiarmid’s Theorem. (0)
Splitting Criteria Based on the McDiarmid’s Theorem
, Splitting Criteria Based on the McDiarmid’s Theorem, Springer, Cham, 51-62, 2020, Cites: 0
Piotr Duda and Lipo Wang, On a Streaming Approach for Training Denoising Auto-encoders. (1)
On a Streaming Approach for Training Denoising Auto-encoders
, On a Streaming Approach for Training Denoising Auto-encoders, Springer, Cham, 315-324, 2020, Cites: 1
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Hybrid Splitting Criteria. (1)
Hybrid Splitting Criteria
, Hybrid Splitting Criteria, Springer, Cham, 91-113, 2020, Cites: 1
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Introduction and Overview of the Main Results of the Book. (0)
Introduction and Overview of the Main Results of the Book
, Introduction and Overview of the Main Results of the Book, Springer, Cham, 1-10, 2020, Cites: 0
Piotr Duda and Maciej Jaworski and Andrzej Cader and Lipo Wang, On training deep neural networks using a streaming approach. (16)
On training deep neural networks using a streaming approach
, On training deep neural networks using a streaming approach, 2020, Cites: 16
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Nonparametric Regression Models for Data Streams Based on the Generalized Regression Neural Networks. (0)
Nonparametric Regression Models for Data Streams Based on the Generalized Regression Neural Networks
, Nonparametric Regression Models for Data Streams Based on the Generalized Regression Neural Networks, Springer, Cham, 173-244, 2020, Cites: 0
Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Decision trees in data stream mining. (5)
Decision trees in data stream mining
, Decision trees in data stream mining, Springer, Cham, 37-50, 2020, Cites: 52019 (3)
Maciej Jaworski and Piotr Duda and Danuta Rutkowska and Leszek Rutkowski, On handling missing values in data stream mining algorithms based on the restricted Boltzmann machine. (2)
On handling missing values in data stream mining algorithms based on the restricted Boltzmann machine
, On handling missing values in data stream mining algorithms based on the restricted Boltzmann machine, Springer, Cham, 347-354, 2019, Cites: 2
Lena Pietruczuk and Leszek Rutkowski and Maciej Jaworski and Piotr Duda, Corrigendum to ‘How to adjust an ensemble size in stream data mining?’Information Sciences, vol. 381 (2017), pp. 46-54. (0)
Corrigendum to ‘How to adjust an ensemble size in stream data mining?’Information Sciences, vol. 381 (2017), pp. 46-54
, Corrigendum to ‘How to adjust an ensemble size in stream data mining?’Information Sciences, vol. 381 (2017), pp. 46-54, Elsevier, 545, 2019, Cites: 0
Maciej Jaworski and Leszek Rutkowski and Piotr Duda and Andrzej Cader, Resource-aware data stream mining using the Restricted Boltzmann Machine. (10)
Resource-aware data stream mining using the Restricted Boltzmann Machine
, Resource-aware data stream mining using the Restricted Boltzmann Machine, Springer, Cham, 384-396, 2019, Cites: 102018 (6)
Piotr Duda and Maciej Jaworski and Leszek Rutkowski, Online GRNN-based ensembles for regression on evolving data streams. (9)
Online GRNN-based ensembles for regression on evolving data streams
, Online GRNN-based ensembles for regression on evolving data streams, Springer, Cham, 221-228, 2018, Cites: 9
Piotr Duda and Maciej Jaworski and Leszek Rutkowski, Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks. (30)
Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks
, Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks, Elsevier, 497-518, 2018, Cites: 30
Piotr Duda and Leszek Rutkowski and Maciej Jaworski and Danuta Rutkowska, On the Parzen kernel-based probability density function learning procedures over time-varying streaming data with applications to pattern classification. (36)
On the Parzen kernel-based probability density function learning procedures over time-varying streaming data with applications to pattern classification
, On the Parzen kernel-based probability density function learning procedures over time-varying streaming data with applications to pattern classification, IEEE, 1683-1696, 2018, Cites: 36
Maciej Jaworski and Piotr Duda and Leszek Rutkowski, Concept drift detection in streams of labelled data using the restricted Boltzmann machine. (10)
Concept drift detection in streams of labelled data using the restricted Boltzmann machine
, Concept drift detection in streams of labelled data using the restricted Boltzmann machine, IEEE, 1-7, 2018, Cites: 10
Piotr Duda, On ensemble components selection in data streams scenario with gradual concept-drift. (3)
On ensemble components selection in data streams scenario with gradual concept-drift
, On ensemble components selection in data streams scenario with gradual concept-drift, Springer, Cham, 311-320, 2018, Cites: 3
Piotr Duda and Maciej Jaworski and Leszek Rutkowski, Convergent time-varying regression models for data streams: Tracking concept drift by the recursive Parzen-based generalized regression neural networks. (30)
Convergent time-varying regression models for data streams: Tracking concept drift by the recursive Parzen-based generalized regression neural networks
, Convergent time-varying regression models for data streams: Tracking concept drift by the recursive Parzen-based generalized regression neural networks, World Scientific Publishing Company, 1750048, 2018, Cites: 302017 (5)
Maciej Jaworski and Piotr Duda and Leszek Rutkowski, New splitting criteria for decision trees in stationary data streams. (88)
New splitting criteria for decision trees in stationary data streams
, New splitting criteria for decision trees in stationary data streams, IEEE, 2516-2529, 2017, Cites: 88
Maciej Jaworski and Piotr Duda and Leszek Rutkowski, On applying the restricted Boltzmann machine to active concept drift detection. (21)
On applying the restricted Boltzmann machine to active concept drift detection
, On applying the restricted Boltzmann machine to active concept drift detection, IEEE, 1-8, 2017, Cites: 21
Lena Pietruczuk and Leszek Rutkowski and Maciej Jaworski and Piotr Duda, How to adjust an ensemble size in stream data mining?. (67)
How to adjust an ensemble size in stream data mining?
, How to adjust an ensemble size in stream data mining?, Elsevier, 46-54, 2017, Cites: 67
Maciej Jaworski and Piotr Duda and Leszek Rutkowski and Patryk Najgebauer and Miroslaw Pawlak, Heuristic regression function estimation methods for data streams with concept drift. (12)
Heuristic regression function estimation methods for data streams with concept drift
, Heuristic regression function estimation methods for data streams with concept drift, Springer, Cham, 726-737, 2017, Cites: 12
Piotr Duda and Maciej Jaworski and Leszek Rutkowski, On ensemble components selection in data streams scenario with reoccurring concept-drift. (16)
On ensemble components selection in data streams scenario with reoccurring concept-drift
, On ensemble components selection in data streams scenario with reoccurring concept-drift, IEEE, 1-7, 2017, Cites: 162016 (3)
Adam Krzyzak Piotr Duda and Lena Pietruczuk and Maciej Jaworski, On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions. (2)
On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions
, On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions, Springer, Cham, 37-48, 2016, Cites: 2
Piotr Duda and Maciej Jaworski and Lena Pietruczuk and Marcin Korytkowski and Marcin Gabryel and Rafał Scherer, 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, Springer, Cham, 529-540, 2016, Cites: 1
Lena Pietruczuk and Leszek Rutkowski and Maciej Jaworski and Piotr Duda, A method for automatic adjustment of ensemble size in stream data mining. (26)
A method for automatic adjustment of ensemble size in stream data mining
, A method for automatic adjustment of ensemble size in stream data mining, IEEE, 9-15, 2016, Cites: 262015 (1)
Piotr Duda and Maciej Jaworski and Lena Pietruczuk and Rafa l Scherer and Marcin Korytkowski and Marcin Gabryel, On the application of fourier series density estimation for image classification based on feature description. (7)
On the application of fourier series density estimation for image classification based on feature description
, On the application of fourier series density estimation for image classification based on feature description, 2015, Cites: 72014 (4)
Leszek Rutkowski and Maciej Jaworski and Lena Pietruczuk and Piotr Duda, The CART decision tree for mining data streams. (300)
The CART decision tree for mining data streams
, The CART decision tree for mining data streams, Elsevier, 1-15, 2014, Cites: 300
Lena Pietruczuk and Leszek Rutkowski and Maciej Jaworski and Piotr Duda, The Parzen kernel approach to learning in non-stationary environment. (12)
The Parzen kernel approach to learning in non-stationary environment
, The Parzen kernel approach to learning in non-stationary environment, IEEE, 3319-3323, 2014, Cites: 12
Piotr Duda and Maciej Jaworski and Lena Pietruczuk and Leszek Rutkowski, A novel application of hoeffding's inequality to decision trees construction for data streams. (18)
A novel application of hoeffding's inequality to decision trees construction for data streams
, A novel application of hoeffding's inequality to decision trees construction for data streams, IEEE, 3324-3330, 2014, Cites: 18
Leszek Rutkowski and Maciej Jaworski and Lena Pietruczuk and Piotr Duda, A new method for data stream mining based on the misclassification error. (118)
A new method for data stream mining based on the misclassification error
, A new method for data stream mining based on the misclassification error, IEEE, 1048-1059, 2014, Cites: 1182013 (2)
Lena Pietruczuk and Piotr Duda and Maciej Jaworski, Adaptation of decision trees for handling concept drift. (21)
Adaptation of decision trees for handling concept drift
, Adaptation of decision trees for handling concept drift, Springer, Berlin, Heidelberg, 459-473, 2013, Cites: 21
Leszek Rutkowski and Maciej Jaworski and Lena Pietruczuk and Piotr Duda, Decision trees for mining data streams based on the gaussian approximation. (173)
Decision trees for mining data streams based on the gaussian approximation
, Decision trees for mining data streams based on the gaussian approximation, IEEE, 108-119, 2013, Cites: 1732012 (8)
Maciej Jaworski and Lena Pietruczuk and Piotr Duda, On resources optimization in fuzzy clustering of data streams. (15)
On resources optimization in fuzzy clustering of data streams
, On resources optimization in fuzzy clustering of data streams, Springer, Berlin, Heidelberg, 92-99, 2012, Cites: 15
Piotr Duda and Maciej Jaworski and Lena Pietruczuk, On pre-processing algorithms for data stream. (18)
On pre-processing algorithms for data stream
, On pre-processing algorithms for data stream, Springer, Berlin, Heidelberg, 56-63, 2012, Cites: 18
Lena Pietruczuk and Piotr Duda and Maciej Jaworski, A new fuzzy classifier for data streams. (19)
A new fuzzy classifier for data streams
, A new fuzzy classifier for data streams, Springer, Berlin, Heidelberg, 318-324, 2012, Cites: 19
Piotr Duda and Yoichi Hayashi and Maciej Jaworski, On the strong convergence of the orthogonal series-type kernel regression neural networks in a non-stationary environment. (17)
On the strong convergence of the orthogonal series-type kernel regression neural networks in a non-stationary environment
, On the strong convergence of the orthogonal series-type kernel regression neural networks in a non-stationary environment, Springer, Berlin, Heidelberg, 47-54, 2012, Cites: 17
Piotr Duda and Marcin Korytkowski, On the strong convergence of the recursive orthogonal series-type kernel probabilistic neural networks handling time-varying noise. (1)
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, Springer, Berlin, Heidelberg, 55-62, 2012, Cites: 1
Leszek Rutkowski and Lena Pietruczuk and Piotr Duda and Maciej Jaworski, Decision trees for mining data streams based on the McDiarmid's bound. (219)
Decision trees for mining data streams based on the McDiarmid's bound
, Decision trees for mining data streams based on the McDiarmid's bound, IEEE, 1272-1279, 2012, Cites: 219
Maciej Jaworski and Piotr Duda and Lena Pietruczuk, On fuzzy clustering of data streams with concept drift. (23)
On fuzzy clustering of data streams with concept drift
, On fuzzy clustering of data streams with concept drift, Springer, Berlin, Heidelberg, 82-91, 2012, Cites: 23
Meng Joo Er and Piotr Duda, On the uniform convergence of the orthogonal series-type kernel regression neural networks in a time-varying environment. (0)
On the uniform convergence of the orthogonal series-type kernel regression neural networks in a time-varying environment
, On the uniform convergence of the orthogonal series-type kernel regression neural networks in a time-varying environment, Springer, Berlin, Heidelberg, 39-46, 2012, Cites: 02011 (3)
Piotr Duda and Jacek M Zurada, On the Cesaro orthogonal series-type kernel probabilistic neural networks handling non-stationary noise. (2)
On the Cesaro orthogonal series-type kernel probabilistic neural networks handling non-stationary noise
, On the Cesaro orthogonal series-type kernel probabilistic neural networks handling non-stationary noise, Springer, Berlin, Heidelberg, 435-442, 2011, Cites: 2
Meng Joo Er and Piotr Duda, On the weak convergence of the orthogonal series-type kernel regresion neural networks in a non-stationary environment. (14)
On the weak convergence of the orthogonal series-type kernel regresion neural networks in a non-stationary environment
, On the weak convergence of the orthogonal series-type kernel regresion neural networks in a non-stationary environment, Springer, Berlin, Heidelberg, 443-450, 2011, Cites: 14
Piotr Duda and Yoichi Hayashi, On the weak convergence of the recursive orthogonal series-type kernel probabilistic neural networks in a time-varying environment. (0)
