Michal Wozniak

Michal Wozniak, Piotr Sobolewski, Michal Wozniak, 2013, 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE).

How to design the fair experimental classifier evaluation

Salvador García, Michał Woźniak, Katarzyna Stapor, 2021, Appl. Soft Comput..

Radial-Based oversampling for noisy imbalanced data classification

Bartosz Krawczyk, Michal Wozniak, Michal Koziarski, 2019, Neurocomputing.

Leveraging Ensemble Pruning for Imbalanced Data Classification

Bartosz Krawczyk, Michal Wozniak, B. Krawczyk, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Sentiment Analysis for Fake News Detection by Means of Neural Networks

Michał Woźniak, Paweł Ksieniewicz, Michał Choraś, 2020, ICCS.

Evaluating and Explaining Generative Adversarial Networks for Continual Learning under Concept Drift

Bartosz Krawczyk, Michał Woźniak, Filip Guzy, 2021, 2021 International Conference on Data Mining Workshops (ICDMW).

GRASP Algorithm for Optimization of Grids for Multiple Classifier System

Michal Wozniak, Krzysztof Walkowiak, Tomasz Kacprzak, 2010, SOCO.

Data stream classification and big data analytics

Bartosz Krawczyk, Michal Wozniak, Jerzy Stefanowski, 2015, Neurocomputing.

Ensemble learning for data stream analysis: A survey

João Gama, Bartosz Krawczyk, Leandro L. Minku, 2017, Inf. Fusion.

Efficient Real-Time Background Detection Based on the PCA Subspace Decomposition

Michal Wozniak, Boguslaw Cyganek, B. Cyganek, 2017, ICAISC.

Optimization of Multicast Traffic in Elastic Optical Networks With Distance-Adaptive Transmission

Michal Wozniak, Krzysztof Walkowiak, Miroslaw Klinkowski, 2014, IEEE Communications Letters.

Clustering-based ensembles for one-class classification

Bartosz Krawczyk, Michal Wozniak, Boguslaw Cyganek, 2014, Inf. Sci..

Analyzing the oversampling of different classes and types of examples in multi-class imbalanced datasets

Bartosz Krawczyk, Michal Wozniak, José A. Sáez, 2016, Pattern Recognit..

On the Influence of Class Noise in Medical Data Classification: Treatment Using Noise Filtering Methods

Bartosz Krawczyk, Michal Wozniak, José A. Sáez, 2016, Appl. Artif. Intell..

The deterministic subspace method for constructing classifier ensembles

Bartosz Krawczyk, Michal Wozniak, Michal Koziarski, 2017, Pattern Analysis and Applications.

Comparable Study of Statistical Tests for Virtual Concept Drift Detection

Michal Wozniak, Piotr Sobolewski, Michal Wozniak, 2013, CORES.

Concept Drift Detection and Model Selection with Simulated Recurrence and Ensembles of Statistical Detectors

Michal Wozniak, Piotr Sobolewski, Michal Wozniak, 2013, J. Univers. Comput. Sci..

Weighted Naïve Bayes Classifier with Forgetting for Drifting Data Streams

Bartosz Krawczyk, Michal Wozniak, B. Krawczyk, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Imbalanced Data Classification Based on Feature Selection Techniques

Michal Wozniak, Pawel Ksieniewicz, Michal Wozniak, 2018, IDEAL.

SCR: simulated concept recurrence – a non‐supervised tool for dealing with shifting concept

Michal Wozniak, Piotr Sobolewski, Michal Wozniak, 2013, Expert Syst. J. Knowl. Eng..

Ensembles of Heterogeneous Concept Drift Detectors - Experimental Study

Michal Wozniak, Boguslaw Cyganek, Krzysztof Walkowiak, 2016, CISIM.

Dynamic classifier selection for one-class classification

Bartosz Krawczyk, Michal Wozniak, B. Krawczyk, 2016, Knowl. Based Syst..

Distributed Privacy-Preserving Minimal Distance Classification

Bartosz Krawczyk, Michal Wozniak, B. Krawczyk, 2013, HAIS.

Privacy Preserving Models of k-NN Algorithm

Bartosz Krawczyk, Michal Wozniak, B. Krawczyk, 2011, Computer Recognition Systems 4.

Performance Analysis of Binarization Strategies for Multi-class Imbalanced Data Classification

Michał Woźniak, Michał Żak, Michal Wozniak, 2020, ICCS.

Tensor-Based Shot Boundary Detection in Video Streams

B. Cyganek, Michal Wozniak, 2017, New Generation Computing.

A Tensor Framework for Data Stream Clustering and Compression

Michal Wozniak, Boguslaw Cyganek, B. Cyganek, 2017, ICIAP.

Combining active learning with concept drift detection for data stream mining

Bartosz Krawczyk, Michal Wozniak, Bernhard Pfahringer, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Accuracy based weighted aging ensemble (AB-WAE) — Algorithm for data stream classification

Michal Wozniak, Michal Wozniak, 2017, 2017 IEEE 4th International Conference on Soft Computing & Machine Intelligence (ISCMI).

Untrained weighted classifier combination with embedded ensemble pruning

Bartosz Krawczyk, Michal Wozniak, B. Krawczyk, 2016, Neurocomputing.

Incremental One-Class Bagging for Streaming and Evolving Big Data

Bartosz Krawczyk, Michal Wozniak, B. Krawczyk, 2015, 2015 IEEE Trustcom/BigDataSE/ISPA.

Incremental weighted one-class classifier for mining stationary data streams

Bartosz Krawczyk, Michal Wozniak, B. Krawczyk, 2015, J. Comput. Sci..

Combining nearest neighbour classifiers based on small subsamples for big data analytics

Bartosz Krawczyk, Michal Wozniak, B. Krawczyk, 2015, 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF).

Active learning approach to concept drift problem

Michal Wozniak, Bartosz Kurlej, Michal Wozniak, 2012, Log. J. IGPL.

Learning Curve in Concept Drift While Using Active Learning Paradigm

Michal Wozniak, Bartosz Kurlej, Michal Wozniak, 2011, ICAIS.

Method of classifier selection using the genetic approach

Michal Wozniak, Konrad Jackowski, Michal Wozniak, 2010, Expert Syst. J. Knowl. Eng..

Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble

Michal Wozniak, Pawel Ksieniewicz, Pawel Zyblewski, 2019, ICAISC.

Hyperspectral Image Analysis Based on Quad Tree Decomposition

Bartosz Krawczyk, Michal Wozniak, Pawel Ksieniewicz, 2014, SOCO-CISIS-ICEUTE.

Classifier ensemble for an effective cytological image analysis

Bartosz Krawczyk, Michal Wozniak, Pawel Filipczuk, 2013, Pattern Recognit. Lett..

Cost Sensitive Hierarchical Classifiers for Non-invasive Recognition of Liver Fibrosis Stage

Piotr Porwik, Bartosz Krawczyk, Michal Wozniak, 2013, CORES.

An Improved Vehicle Logo Recognition Using a Classifier Ensemble Based on Pattern Tensor Representation and Decomposition

B. Cyganek, Michal Wozniak, 2015, New Generation Computing.

Fault diagnosis of marine 4-stroke diesel engines using a one-vs-one extreme learning ensemble

Bartosz Krawczyk, Michal Wozniak, Jerzy Kowalski, 2017, Eng. Appl. Artif. Intell..

Active Learning by Clustering for Drifted Data Stream Classification

João Gama, Michal Wozniak, Jakub Zgraja, 2018, DMLE/IOTSTREAMING@PKDD/ECML.

Online query by committee for active learning from drifting data streams

Bartosz Krawczyk, Michal Wozniak, B. Krawczyk, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Active Learning Classifier for Streaming Data

Michal Wozniak, Boguslaw Cyganek, Andrzej Kasprzak, 2016, HAIS.

Reacting to different types of concept drift with adaptive and incremental one-class classifiers

Bartosz Krawczyk, Michal Wozniak, B. Krawczyk, 2015, 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF).

Advanced Analysis of Data Streams for Critical Infrastructures Protection and Cybersecurity

Michal Choras, Michal Wozniak, Barbara Bobowska, 2018, J. Univers. Comput. Sci..

A cost-sensitive ensemble classifier for breast cancer classification

Gerald Schaefer, Bartosz Krawczyk, Michal Wozniak, 2013, 2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI).

Combining one-class classifiers for imbalanced classification of breast thermogram features

Gerald Schaefer, Bartosz Krawczyk, Michal Wozniak, 2013, 2013 Fourth International Workshop on Computational Intelligence in Medical Imaging (CIMI).

Optical networks for cost-efficient and scalable provisioning of big data traffic

Michal Wozniak, Krzysztof Walkowiak, Miroslaw Klinkowski, 2015, Int. J. Parallel Emergent Distributed Syst..

Modeling of Network Computing Systems for Decision Tree Induction Tasks

Michal Wozniak, Krzysztof Walkowiak, Michal Wozniak, 2009, IDEAL.

Different decision tree induction strategies for a medical decision problem

Michal Wozniak, Robert Burduk, Michal Wozniak, 2012 .

Decision Tree Induction Methods for Distributed Environment

Michal Wozniak, Krzysztof Walkowiak, Michal Wozniak, 2009, ICMMI.

Multivariate Decision Trees vs. Univariate Ones

Michal Wozniak, Mariusz Koziol, Michal Wozniak, 2009, Computer Recognition Systems 3.

An analysis of heuristic metrics for classifier ensemble pruning based on ordered aggregation

Gonzalo Martínez-Muñoz, E. Onieva, Michal Wozniak, 2021, Pattern Recognit..

A hybrid cost-sensitive ensemble for imbalanced breast thermogram classification

Gerald Schaefer, Bartosz Krawczyk, Michal Wozniak, 2015, Artif. Intell. Medicine.

Employing Convolutional Neural Networks for Continual Learning

Michal Wozniak, M. Jasiński, 2022, ICAISC.

Multiple Classifier Method for Structured Output Prediction Based on Error Correcting Output Codes

Michal Wozniak, Przemyslaw Kazienko, Tomasz Kajdanowicz, 2011, ACIIDS.

On the Need for New Procedures for Analysing the Interrelationships between Social Inequalities, Human Capital and Economic Growth

Michal Wozniak, 2013 .

Alphabet Flatting as a variant of n-gram feature extraction method in ensemble classification of fake news

M. Choraś, Michal Wozniak, R. Kozik, 2023, Eng. Appl. Artif. Intell..

Cost-Sensitive Neural Network with ROC-Based Moving Threshold for Imbalanced Classification

Bartosz Krawczyk, Michal Wozniak, B. Krawczyk, 2015, IDEAL.

Computer recognition systems

Elif Derya Übeyli, Michal Wozniak, Michal Wozniak, 2009, Expert Syst. J. Knowl. Eng..

Dynamic ensemble selection for multi-class classification with one-class classifiers

Francisco Herrera, Humberto Bustince, Mikel Galar, 2018, Pattern Recognit..

Algorithm of designing compound recognition system on the basis of combining classifiers with simultaneous splitting feature space into competence areas

Michal Wozniak, Konrad Jackowski, Michal Wozniak, 2009, Pattern Analysis and Applications.

Computational Intelligence in Remote Sensing: An Editorial

Manuel Graña, Javier de Lope, Michal Wozniak, 2020, Sensors.

Virtual High Dynamic Range Imaging for Underwater Drone Navigation

Michal Wozniak, Boguslaw Cyganek, B. Cyganek, 2018 .

Soft computing methods applied to combination of one-class classifiers

Michal Wozniak, Tomasz Wilk, Michal Wozniak, 2012, Neurocomputing.

Dealing with the task of imbalanced, multidimensional data classification using ensembles of exposers

Michal Wozniak, Pawel Ksieniewicz, Michal Wozniak, 2017, LIDTA@PKDD/ECML.

Combined approach to pattern classification in parametric case

Michal Wozniak, Michal Wozniak, 2007 .

Ensemble of Extreme Learning Machines with trained classifier combination and statistical features for hyperspectral data

Bartosz Krawczyk, Michal Wozniak, Pawel Ksieniewicz, 2018, Neurocomputing.

Hybrid Classifiers - Methods of Data, Knowledge, and Classifier Combination

Michal Wozniak, Michal Wozniak, 2013, Studies in Computational Intelligence.

Untrained Multiple Classifier System for designing security scanner for web applications

Michal Wozniak, Szymon Sztajer, Michal Wozniak, 2010, 2010 Fifth International Conference on Information and Automation for Sustainability.

Proposition of common classifier construction for pattern recognition with context task

Michal Wozniak, Michal Wozniak, 2006, Knowl. Based Syst..

A Survey of Big Data Issues in Electronic Health Record Analysis

Piotr Porwik, Manuel Graña, Bartosz Krawczyk, 2016, Appl. Artif. Intell..

Modification of Nested Hyperrectangle Exemplar as a Proposition of Information Fusion Method

Michal Wozniak, Michal Wozniak, 2009, IDEAL.

Selected aspects of electronic health record analysis from the big data perspective

Manuel Graña, Michal Wozniak, Boguslaw Cyganek, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Information Fusion for Probabilistic Reasoning and Its Application to the Medical Decision Support Systems

Michal Wozniak, Michal Wozniak, 2004, ICCSA.

Dynamic Classifier Selection for Data with Skewed Class Distribution Using Imbalance Ratio and Euclidean Distance

Michał Woźniak, Paweł Zyblewski, Michal Wozniak, 2020, ICCS.

One-Class Classification Ensemble with Dynamic Classifier Selection

Bartosz Krawczyk, Michal Wozniak, B. Krawczyk, 2014, ISNN.

Handling Label Noise in Microarray Classification with One-Class Classifier Ensemble

Bartosz Krawczyk, Michal Wozniak, B. Krawczyk, 2014, ICT Innovations.

Diversity measures for one-class classifier ensembles

Bartosz Krawczyk, Michal Wozniak, B. Krawczyk, 2014, Neurocomputing.

On diversity measures for fuzzy one-class classifier ensembles

Bartosz Krawczyk, Michal Wozniak, B. Krawczyk, 2013, 2013 IEEE Symposium on Computational Intelligence and Ensemble Learning (CIEL).

Combining Diverse One-Class Classifiers

Bartosz Krawczyk, Michal Wozniak, B. Krawczyk, 2012, HAIS.

Wagging for Combining Weighted One-class Support Vector Machines

Bartosz Krawczyk, Michal Wozniak, B. Krawczyk, 2015, ICCS.

Incremental Learning and Forgetting in One-Class Classifiers for Data Streams

Bartosz Krawczyk, Michal Wozniak, B. Krawczyk, 2013, CORES.

CCR: A combined cleaning and resampling algorithm for imbalanced data classification

Michal Wozniak, Michal Koziarski, Michal Wozniak, 2017, Int. J. Appl. Math. Comput. Sci..

Adaptive Splitting and Selection ensemble for breast cancer malignancy grading

Bartosz Krawczyk, Michal Wozniak, Lukasz Jelen, 2014, 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE).

The project of the telemedicine system for a family doctors' practices

Michal Wozniak, E. Puchala, 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Transformer Based Models in Fake News Detection

Michal Choras, Michal Wozniak, Rafal Kozik, 2021, International Conference on Conceptual Structures.

Identifying Features with Concept Drift in Multidimensional Data Using Statistical Tests

Michal Wozniak, Piotr Sobolewski, Michal Wozniak, 2014, AIAI.

Optimizing distributed computing systems for k-nearest neighbours classifiers - evolutionary approach

Michal Wozniak, Krzysztof Walkowiak, Michal Przewozniczek, 2011, Log. J. IGPL.

Breast thermogram analysis using a cost-sensitive multiple classifier system

Gerald Schaefer, Bartosz Krawczyk, Michal Wozniak, 2012, Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics.

Vertical and Horizontal Data Partitioning for Classifier Ensemble Learning

Michal Wozniak, Enrique Onieva, Amgad M. Mohammed, 2019, CORES.

Data with Shifting Concept Classification Using Simulated Recurrence

Michal Wozniak, Piotr Sobolewski, Michal Wozniak, 2012, ACIIDS.

Combined Classifiers with Neural Fuser for Spam Detection

Bartosz Krawczyk, Michal Wozniak, Marcin Zmyslony, 2012, CISIS/ICEUTE/SOCO Special Sessions.