World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
7195
World Ranking
11088
National Ranking
23

Overview

Michal Wozniak is affiliated with Wrocław University of Science and Technology in Poland and has contributed extensively to the field of computer science, particularly in artificial intelligence and data stream mining techniques. Their research spans several subfields including computer vision and pattern recognition, electrical and electronic engineering, information systems, and sociology and political science.

Throughout their career, Michal Wozniak has focused on topics such as data stream mining techniques, imbalanced data classification techniques, anomaly detection applications, machine learning and data classification, misinformation and its impacts, electricity theft detection techniques, as well as spam and phishing detection.

Their recent publications include:

  • Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study, 2020, Applied Soft Computing
  • Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams, 2020, Information Fusion
  • How to design the fair experimental classifier evaluation, 2021, Applied Soft Computing
  • Hellinger Distance Weighted Ensemble for imbalanced data stream classification, 2021, Journal of Computational Science
  • Technical solution to counter potential crime: Text analysis to detect fake news and disinformation, 2022, Journal of Computational Science

Frequent collaborators of Michal Wozniak include Paweł Ksieniewicz, Michał Choraś, Paweł Zyblewski, Jędrzej Kozal, and Jakub Klikowski, with multiple coauthored papers.

The primary venues where Michal Wozniak publishes their research consist of arXiv (Cornell University), Applied Soft Computing, Information Fusion, SSRN Electronic Journal, and Journal of Computational Science.

Michal Wozniak has also contributed to academic books published by Springer Science+Business Media, including titles on machine learning and metaheuristics algorithms from 2020 and 2021.

Best Publications

  • Ensemble learning for data stream analysis

    Bartosz Krawczyk;Leandro L. Minku;Joo Gama;Jerzy Stefanowski

  • A survey of multiple classifier systems as hybrid systems

    Michał Woniak;Manuel Graña;Emilio Corchado

  • Cost-sensitive decision tree ensembles for effective imbalanced classification

    Bartosz Krawczyk;Michał Woniak;Gerald Schaefer

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

    José A. Sáez;Bartosz Krawczyk;Michał Woźniak

  • Computer Recognition Systems 3

    Marek Kurzynski;Michal Wozniak

  • Clustering-based ensembles for one-class classification

    Bartosz Krawczyk;Michał Woniak;Bogusław Cyganek

  • Radial-Based oversampling for noisy imbalanced data classification

    Michał Koziarski;Bartosz Krawczyk;Michał Woźniak

  • Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study

    Michal Choras;Konstantinos P. Demestichas;Agata Gielczyk;Álvaro Herrero

  • Radial-Based Oversampling for Multiclass Imbalanced Data Classification

    Bartosz Krawczyk;Michal Koziarski;Michal Wozniak

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

    Michał Koziarski;Michał Wożniak

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

    Bartosz Krawczyk;Mikel Galar;Michał Woźniak;Humberto Bustince

  • Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark

    Sergio Ramirez-Gallego;Bartosz Krawczyk;Salvador Garcia;Michal Wozniak

  • Editorial: Editorial: New trends and applications on hybrid artificial intelligence systems

    Emilio Corchado;Manuel Graña;MichaŁ Woniak

  • Diversity measures for one-class classifier ensembles

    Bartosz Krawczyk;Michał Woniak

  • How to design the fair experimental classifier evaluation

    Katarzyna Stapor;Paweł Ksieniewicz;Salvador García;Michał Woźniak

  • Soft computing methods applied to combination of one-class classifiers

    Tomasz Wilk;Michal Wozniak

  • On the usefulness of one-class classifier ensembles for decomposition of multi-class problems

    Bartosz Krawczyk;Michał Woźniak;Francisco Herrera

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

    Jerzy Kowalski;Bartosz Krawczyk;Michał Woźniak

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

    Krzysztof Walkowiak;Róza Goscien;Miroslaw Klinkowski;Michal Wozniak

  • A hybrid decision tree training method using data streams

    Michal Wozniak

  • Editorial: Recent trends in intelligent data analysis

    Emilio Corchado;Emilio Corchado;Michał Woniak;Ajith Abraham;André C. P. L. F. De Carvalho

  • Advances in Computing, Communications and Informatics (ICACCI)

    Sabu M Thampi;Michal Wozniak;Oge Marques;Dilip Krishnaswamy

Frequent Co-Authors

Bartosz Krawczyk
Bartosz Krawczyk Rochester Institute of Technology
Manuel Graña
Manuel Graña University of the Basque Country
Emilio Corchado
Emilio Corchado University of Salamanca
Francisco Herrera
Francisco Herrera University of Granada
Gerald Schaefer
Gerald Schaefer Loughborough University
André C. P. L. F. de Carvalho
André C. P. L. F. de Carvalho Universidade de São Paulo
Ajith Abraham
Ajith Abraham Sai University
José Manuel Benítez
José Manuel Benítez University of Granada
Marios M. Polycarpou
Marios M. Polycarpou University of Cyprus
Miroslaw Klinkowski
Miroslaw Klinkowski Universitat Politècnica de Catalunya

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