Maciej Jaworski

发表

On Pre-processing Algorithms for Data Stream

Piotr Duda, Maciej Jaworski, Lena Pietruczuk, 2012, ICAISC.

A New Method for Data Stream Mining Based on the Misclassification Error

Piotr Duda, Maciej Jaworski, Lena Pietruczuk, 2015, IEEE Transactions on Neural Networks and Learning Systems.

On Handling Missing Values in Data Stream Mining Algorithms Based on the Restricted Boltzmann Machine

Maciej Jaworski, Leszek Rutkowski, Piotr Duda, 2019, ICONIP.

Concept Drift Detection in Streams of Labelled Data Using the Restricted Boltzmann Machine

Piotr Duda, Maciej Jaworski, Leszek Rutkowski, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Decision Trees for Mining Data Streams Based on the McDiarmid's Bound

Piotr Duda, Maciej Jaworski, Lena Pietruczuk, 2013, IEEE Transactions on Knowledge and Data Engineering.

Concept Drift Detection Using Autoencoders in Data Streams Processing

Plamen Angelov, Maciej Jaworski, Leszek Rutkowski, 2020, ICAISC.

A novel application of Hoeffding's inequality to decision trees construction for data streams

Piotr Duda, Maciej Jaworski, Lena Pietruczuk, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Online GRNN-Based Ensembles for Regression on Evolving Data Streams

Piotr Duda, Maciej Jaworski, Leszek Rutkowski, 2018, ISNN.

Learning in a Time-Varying Environment by Making Use of the Stochastic Approximation and Orthogonal Series-Type Kernel Probabilistic Neural Network

Jacek M. Zurada, Maciej Jaworski, J. Zurada, 2011, PPAM.

Adaptation of Decision Trees for Handling Concept Drift

Piotr Duda, Maciej Jaworski, Lena Pietruczuk, 2013, ICAISC.

New Splitting Criteria for Decision Trees in Stationary Data Streams

Piotr Duda, Maciej Jaworski, Leszek Rutkowski, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Heuristic Regression Function Estimation Methods for Data Streams with Concept Drift

Piotr Duda, Maciej Jaworski, Leszek Rutkowski, 2017, ICAISC.

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

Piotr Duda, Maciej Jaworski, Lena Pietruczuk, 2019, Inf. Sci..

Explainable Cluster-Based Rules Generation for Image Retrieval and Classification

Dacheng Tao, Maciej Jaworski, Leszek Rutkowski, 2020, ICAISC.

On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions

Adam Krzyzak, Piotr Duda, Maciej Jaworski, 2016, ICAISC.

Hybrid Splitting Criterion in Decision Trees for Data Stream Mining

Maciej Jaworski, Leszek Rutkowski, Miroslaw Pawlak, 2016, ICAISC.

The CART decision tree for mining data streams

Piotr Duda, Maciej Jaworski, Lena Pietruczuk, 2014, Inf. Sci..

On the Application of Orthogonal Series Density Estimation for Image Classification Based on Feature Description

Marcin Gabryel, Marcin Korytkowski, Rafal Scherer, 2013, KICSS.

A new approach to descriptors generation for image retrieval by analyzing activations of deep neural network layers pdf

Jinde Cao, Maciej Jaworski, Leszek Rutkowski, 2020, ArXiv.

How to adjust an ensemble size in stream data mining?

Piotr Duda, Maciej Jaworski, Lena Pietruczuk, 2017, Inf. Sci..

Learning in a Non-stationary Environment Using the Recursive Least Squares Method and Orthogonal-Series Type Regression Neural Network

Meng Joo Er, Maciej Jaworski, 2011, PPAM.

Ocena konstrukcji skraplacza na podstawie minimum strumienia generacji entropiiThe condenser design assessment on the basis of the minimum entropy generation

Maciej Jaworski, Rafał Laskowski, Artur Rusowicz, 2016 .

On ensemble components selection in data streams scenario with reoccurring concept-drift

Piotr Duda, Maciej Jaworski, Leszek Rutkowski, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

On the Application of the Parzen-Type Kernel Regression Neural Network and Order Statistics for Learning in a Non-stationary Environment

Meng Joo Er, Maciej Jaworski, Lena Pietruczuk, 2012, ICAISC.

On a Splitting Criterion for Decision Trees in Data Streams

Piotr Duda, Maciej Jaworski, Lena Pietruczuk, 2013, MLDM Posters.

A New Fuzzy Classifier for Data Streams

Piotr Duda, Maciej Jaworski, Lena Pietruczuk, 2012, ICAISC.

Polygeneration as an effective way to save energy in the manufacturing plant

Maciej Jaworski, Rafał Laskowski, Artur Rusowicz, 2015 .

On the Application of the Parzen-Type Kernel Probabilistic Neural Network and Recursive Least Squares Method for Learning in a Time-Varying Environment

Yoichi Hayashi, Maciej Jaworski, Y. Hayashi, 2011, PPAM.

The Parzen kernel approach to learning in non-stationary environment

Piotr Duda, Maciej Jaworski, Lena Pietruczuk, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Decision Trees for Mining Data Streams Based on the Gaussian Approximation

Piotr Duda, Maciej Jaworski, Lena Pietruczuk, 2014, IEEE Transactions on Knowledge and Data Engineering.

On Training Deep Neural Networks Using a Streaming Approach

Andrzej Cader, Piotr Duda, Maciej Jaworski, 2020, J. Artif. Intell. Soft Comput. Res..

Job satisfaction with agile software development methodologies [TOP Thesis]

Maciej Jaworski, 2011 .

Estimation of Probability Density Function, Differential Entropy and Other Relative Quantities for Data Streams with Concept Drift

Maciej Jaworski, Patryk Najgebauer, Piotr Goetzen, 2018, ICAISC.

On the Parzen Kernel-Based Probability Density Function Learning Procedures Over Time-Varying Streaming Data With Applications to Pattern Classification

Piotr Duda, Maciej Jaworski, Leszek Rutkowski, 2020, IEEE Transactions on Cybernetics.

On the Strong Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Non-stationary Environment

Yoichi Hayashi, Piotr Duda, Maciej Jaworski, 2012, ICAISC.

On Learning in a Time-Varying Environment by Using a Probabilistic Neural Network and the Recursive Least Squares Method

Marcin Gabryel, Maciej Jaworski, Maciej Jaworski, 2012, ICAISC.

Resource-Aware Data Stream Mining Using the Restricted Boltzmann Machine

Andrzej Cader, Piotr Duda, Maciej Jaworski, 2019, ICAISC.

Regression Function and Noise Variance Tracking Methods for Data Streams with Concept Drift

Maciej Jaworski, Maciej Jaworski, 2018, Int. J. Appl. Math. Comput. Sci..

On Resources Optimization in Fuzzy Clustering of Data Streams

Piotr Duda, Maciej Jaworski, Lena Pietruczuk, 2012, ICAISC.

A method for automatic adjustment of ensemble size in stream data mining

Piotr Duda, Maciej Jaworski, Lena Pietruczuk, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Knowledge discovery in data streams with the orthogonal series-based generalized regression neural networks

Piotr Duda, Maciej Jaworski, Leszek Rutkowski, 2017, Inf. Sci..

On Fuzzy Clustering of Data Streams with Concept Drift

Piotr Duda, Maciej Jaworski, Lena Pietruczuk, 2012, ICAISC.

Convergent Time-Varying Regression Models for Data Streams: Tracking Concept Drift by the Recursive Parzen-Based Generalized Regression Neural Networks

Piotr Duda, Maciej Jaworski, Leszek Rutkowski, 2017, Int. J. Neural Syst..

On Explainable Flexible Fuzzy Recommender and Its Performance Evaluation Using the Akaike Information Criterion

Krystian Lapa, Maciej Jaworski, Danuta Rutkowska, 2019, ICONIP.

On applying the Restricted Boltzmann Machine to active concept drift detection

Piotr Duda, Maciej Jaworski, Leszek Rutkowski, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

Monitoring of Changes in Data Stream Distribution Using Convolutional Restricted Boltzmann Machines

Maciej Jaworski, Leszek Rutkowski, Patryk Najgebauer, 2021, ICAISC.

Knowledge, Information and Creativity Support Systems: Recent Trends, Advances and Solutions: Selected Papers from KICSS'2013 - 8th International Conference on Knowledge, Information, and Creativity Support Systems, November 7-9, 2013, Kraków, Poland

Marcin Gabryel, Marcin Korytkowski, Rafał Scherer, 2016 .