Michal Wozniak

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 145

Top Venues

Publications

Michal Panek, Ireneusz Jablonski, Michal Wozniak
Modeling configuration-performance relation in a mobile network: a data-driven approach. CoRR (2024)
Xin Jin, Shin-Jye Lee, Michal Wozniak, Qian Jiang
Editorial: Recent advances in image fusion and quality improvement for cyber-physical systems, volume II. Frontiers Neurorobotics 18 (2024)
Jedrzej Kozal, Jan Wasilewski, Bartosz Krawczyk, Michal Wozniak
Continual Learning with Weight Interpolation. CoRR (2024)
Huanyu Guo, Xin Jin, Qian Jiang, Michal Wozniak, Puming Wang, Shaowen Yao
DMF-Net: A Dual Remote Sensing Image Fusion Network Based on Multiscale Convolutional Dense Connectivity With Performance Measure. IEEE Trans. Instrum. Meas. 73 (2024)
Szymon Wojciechowski, Michal Wozniak
-plot - a visual tool for evaluating imbalanced data classifiers. CoRR (2024)
Joanna Komorniczak, Pawel Ksieniewicz, Michal Wozniak
Analysis of the Possibility to Employ Relationship Between the Problem Complexity and the Classification Quality as Model Optimization Proxy. CORES/IP&C (2023)
Joanna Grzyb, Michal Wozniak
DE-Forest - Optimized Decision Tree Ensemble. ICCCI (2023)
Weronika Wegier, Michal Koziarski, Michal Wozniak
Optimized hybrid imbalanced data sampling for decision tree training. GECCO Companion (2023)
Joanna Grzyb, Michal Wozniak
MOOforest - Multi-objective Optimization to Form Decision Tree Ensemble. PCC (2) (2023)
Jedrzej Kozal, Michal Wozniak
Combining Self-labeling with Selective Sampling. CoRR (2023)
Pawel Ksieniewicz, Pawel Zyblewski, Weronika Borek-Marciniec, Rafal Kozik, Michal Choras, Michal Wozniak
as a variant of n-gram feature extraction method in ensemble classification of fake news. Eng. Appl. Artif. Intell. 120 (2023)
Sebastián Basterrech, Andrzej Kasprzak, Jan Platos, Michal Wozniak
A Continual Learning System with Self Domain Shift Adaptation for Fake News Detection. DSAA (2023)
Radek Svoboda, Sebastián Basterrech, Jedrzej Kozal, Jan Platos, Michal Wozniak
A Natural Gas Consumption Forecasting System for Continual Learning Scenarios based on Hoeffding Trees with Change Point Detection Mechanism. CoRR (2023)
Jedrzej Kozal, Michal Wozniak
Increasing depth of neural networks for life-long learning. Inf. Fusion 98 (2023)
Michal Les, Michal Wozniak
Transfer of Knowledge Among Instruments in Automatic Music Transcription. ICAISC (1) (2023)
Joanna Grzyb, Michal Wozniak
SVM ensemble training for imbalanced data classification using multi-objective optimization techniques. Appl. Intell. 53 (12) (2023)
Michal Les, Michal Wozniak
Transfer of knowledge among instruments in automatic music transcription. CoRR (2023)
Jedrzej Kozal, Justyna Zwolinska, Marek Klonowski, Michal Wozniak
Defending Network IDS against Adversarial Examples with Continual Learning. ICDM (Workshops) (2023)
Michal Wozniak, Pawel Zyblewski, Pawel Ksieniewicz
Active Weighted Aging Ensemble for drifted data stream classification. Inf. Sci. 630 (2023)
Álvaro Herrero, Emilio Corchado, Michal Wozniak, Sung-Bae Cho, Slobodan Petrovic
Cybersecurity applications of computational intelligence. Neural Comput. Appl. 34 (23) (2022)
Amgad M. Mohammed, Enrique Onieva, Michal Wozniak
Selective ensemble of classifiers trained on selective samples. Neurocomputing 482 (2022)
Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
4th Workshop on Learning with Imbalanced Domains: Preface. LIDTA (2022)
Jedrzej Kozal, Filip Guzy, Michal Wozniak
Employing chunk size adaptation to overcome concept drift. J. Univers. Comput. Sci. 28 (3) (2022)
Szymon Wojciechowski, Germán González-Almagro, Salvador García, Michal Wozniak
Adapting K-Means Algorithm for Pair-Wise Constrained Clustering of Imbalanced Data Streams. HAIS (2022)
Sebastián Basterrech, Jan Platos, Gerardo Rubino, Michal Wozniak
Experimental Analysis on Dissimilarity Metrics and Sudden Concept Drift Detection. ISDA (3) (2022)
Joanna Komorniczak, Pawel Ksieniewicz, Michal Wozniak
Data complexity and classification accuracy correlation in oversampling algorithms. LIDTA (2022)
Sebastián Basterrech, Michal Wozniak
Tracking changes using Kullback-Leibler divergence for the continual learning. CoRR (2022)
Sebastián Basterrech, Michal Wozniak
Tracking changes using Kullback-Leibler divergence for the continual learning. SMC (2022)
Jedrzej Kozal, Michal Les, Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak
Lifelong Learning Natural Language Processing Approach for Multilingual Data Classification. CoRR (2022)
Jakub Klikowski, Michal Wozniak
Deterministic Sampling Classifier with weighted Bagging for drifted imbalanced data stream classification. Appl. Soft Comput. 122 (2022)
Michal Choras, Aleksandra Pawlicka, Rafal Kozik, Michal Wozniak
How Machine Learning May Prevent the Breakdown of Democracy by Contributing to Fake News Detection. IT Prof. 24 (2) (2022)
Bogdan Gulowaty, Michal Wozniak
Search-based framework for transparent non-overlapping ensemble models. IJCNN (2022)
Amgad M. Mohammed, Enrique Onieva, Michal Wozniak, Gonzalo Martínez-Muñoz
An analysis of heuristic metrics for classifier ensemble pruning based on ordered aggregation. Pattern Recognit. 124 (2022)
Michal Choras, Michal Wozniak
The double-edged sword of AI: Ethical Adversarial Attacks to counter artificial intelligence for crime. AI Ethics 2 (4) (2022)
Jedrzej Kozal, Michal Les, Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak
Feature Integration Strategies for Multilingual Fake News Classification. Big Data (2022)
Jedrzej Kozal, Michal Wozniak
Increasing Depth of Neural Networks for Life-long Learning. CoRR (2022)
Weronika Wegier, Michal Koziarski, Michal Wozniak
Multicriteria Classifier Ensemble Learning for Imbalanced Data. IEEE Access 10 (2022)
Rafal Kozik, Sebastian Kula, Michal Choras, Michal Wozniak
Technical solution to counter potential crime: Text analysis to detect fake news and disinformation. J. Comput. Sci. 60 (2022)
Sebastian Kula, Rafal Kozik, Michal Choras, Michal Wozniak
Transformer Based Models in Fake News Detection. ICCS (4) (2021)
Pawel Zyblewski, Robert Sabourin, Michal Wozniak
Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams. Inf. Fusion 66 (2021)
Michal Koziarski, Colin Bellinger, Michal Wozniak
RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification. DSAA (2021)
Joanna Grzyb, Jakub Klikowski, Michal Wozniak
Hellinger Distance Weighted Ensemble for Imbalanced Data Stream Classification. CoRR (2021)
Michal Choras, Konstantinos P. Demestichas, Álvaro Herrero, Michal Wozniak
Editorial: Applying Machine Learning for Combating Fake News and Internet/Media Content Manipulation. Appl. Soft Comput. 110 (2021)
Bogdan Gulowaty, Michal Wozniak
Extracting Interpretable Decision Tree Ensemble from Random Forest. IJCNN (2021)
Joanna Grzyb, Jakub Klikowski, Michal Wozniak
Hellinger Distance Weighted Ensemble for imbalanced data stream classification. J. Comput. Sci. 51 (2021)
Katarzyna Stapor, Pawel Ksieniewicz, Salvador García, Michal Wozniak
How to design the fair experimental classifier evaluation. Appl. Soft Comput. 104 (2021)
Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang
3rd Workshop on Learning with Imbalanced Domains: Preface. LIDTA@ECML/PKDD (2021)
Michal Choras, Konstantinos P. Demestichas, Agata Gielczyk, Álvaro Herrero, Pawel Ksieniewicz, Konstantina Remoundou, Daniel Urda, Michal Wozniak
Advanced Machine Learning Techniques for Fake News (Online Disinformation) Detection: A Systematic Mapping Study. CoRR (2021)
Esteban Jove, Jose M. Gonzalez-Cava, José Luís Casteleiro-Roca, Héctor Quintián, Juan Albino Méndez Pérez, Rafael Vega Vega, Francisco Zayas-Gato, Francisco Javier de Cos Juez, Ana León, María Martín, José Antonio Reboso, Michal Wozniak, José Luís Calvo-Rolle
Hybrid Intelligent Model to Predict the Remifentanil Infusion Rate in Patients Under General Anesthesia. Log. J. IGPL 29 (2) (2021)
Michal Choras, Konstantinos P. Demestichas, Agata Gielczyk, Álvaro Herrero, Pawel Ksieniewicz, Konstantina Remoundou, Daniel Urda, Michal Wozniak
Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study. Appl. Soft Comput. 101 (2021)
Pawel Zyblewski, Michal Wozniak
Dynamic Ensemble Selection for Imbalanced Data Stream Classification with Limited Label Access. ICAISC (2) (2021)
Jedrzej Kozal, Filip Guzy, Michal Wozniak
Employing chunk size adaptation to overcome concept drift. CoRR (2021)
Michal Koziarski, Colin Bellinger, Michal Wozniak
RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification. Mach. Learn. 110 (11) (2021)
Filip Guzy, Michal Wozniak, Bartosz Krawczyk
Evaluating and Explaining Generative Adversarial Networks for Continual Learning under Concept Drift. ICDM (Workshops) (2021)
Michal Koziarski, Colin Bellinger, Michal Wozniak
RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification. CoRR (2021)
Joanna Grzyb, Mariusz Topolski, Michal Wozniak
Application of Multi-objective Optimization to Feature Selection for a Difficult Data Classification Task. ICCS (3) (2021)
Michal Wozniak, Pawel Zyblewski, Pawel Ksieniewicz
Active Weighted Aging Ensemble for Drifted Data Stream Classification. CoRR (2021)
Francisco Javier de Cos Juez, Michal Wozniak, Juan Albino Méndez, José Ramón Villar Flecha
Special issue SOCO 2017: AI and ML applied to Health Sciences (MLHS). Neural Comput. Appl. 32 (5) (2020)
Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak
Combination of Active and Random Labeling Strategy in the Non-stationary Data Stream Classification. ICAISC (1) (2020)
Michal Koziarski, Michal Wozniak, Bartosz Krawczyk
Combined Cleaning and Resampling Algorithm for Multi-Class Imbalanced Data with Label Noise. CoRR (2020)
Jakub Klikowski, Michal Wozniak
Employing One-Class SVM Classifier Ensemble for Imbalanced Data Stream Classification. ICCS (4) (2020)
Maciej Kinal, Michal Wozniak
Data Preprocessing for des-knn and Its Application to Imbalanced Medical Data Classification. ACIIDS (1) (2020)
Filip Guzy, Michal Wozniak
Employing dropout regularization to classify recurring drifted data streams. IJCNN (2020)
Pawel Zyblewski, Michal Wozniak
Dynamic Classifier Selection for Data with Skewed Class Distribution Using Imbalance Ratio and Euclidean Distance. ICCS (4) (2020)
Bartosz Krawczyk, Michal Koziarski, Michal Wozniak
Radial-Based Oversampling for Multiclass Imbalanced Data Classification. IEEE Trans. Neural Networks Learn. Syst. 31 (8) (2020)
Michal Zák, Michal Wozniak
Performance Analysis of Binarization Strategies for Multi-class Imbalanced Data Classification. ICCS (4) (2020)
Francisco Herrera, Ajith Abraham, Michal Wozniak, Hilde Pérez, Emilio Corchado
Special Issue SOCO 2017: New trends in soft computing and its application in industrial and environmental problems. Neurocomputing 391 (2020)
Szymon Wojciechowski, Michal Wozniak
Employing Decision Templates to Imbalanced Data Classification. HAIS (2020)
Pawel Zyblewski, Michal Wozniak
Novel clustering-based pruning algorithms. Pattern Anal. Appl. 23 (3) (2020)
Pawel Ksieniewicz, Pawel Zyblewski, Michal Choras, Rafal Kozik, Agata Gielczyk, Michal Wozniak
Fake News Detection from Data Streams. IJCNN (2020)
Amgad M. Mohammed, Enrique Onieva, Michal Wozniak
Training set selection and swarm intelligence for enhanced integration in multiple classifier systems. Appl. Soft Comput. 95 (2020)
Manuel Graña, Michal Wozniak, Sebastián A. Ríos, Javier de Lope
Computational Intelligence in Remote Sensing: An Editorial. Sensors 20 (3) (2020)
Sebastian Kula, Michal Choras, Rafal Kozik, Pawel Ksieniewicz, Michal Wozniak
Sentiment Analysis for Fake News Detection by Means of Neural Networks. ICCS (4) (2020)
Nuño Basurto, Michal Wozniak, Carlos Cambra, Álvaro Herrero
Advanced Oversampling for Improved Detection of Software Anomalies in a Robot. SOCO (2020)
Michal Koziarski, Michal Wozniak, Bartosz Krawczyk
Combined Cleaning and Resampling algorithm for multi-class imbalanced data with label noise. Knowl. Based Syst. 204 (2020)
Pawel Zyblewski, Michal Wozniak
Clustering-Based Ensemble Pruning and Multistage Organization Using Diversity. HAIS (2019)
Jakub Zgraja, Richard Hugh Moulton, João Gama, Andrzej Kasprzak, Michal Wozniak
Adapting ClusTree for more challenging data stream environments. J. Intell. Fuzzy Syst. 37 (6) (2019)
Amgad M. Mohammed, Enrique Onieva, Michal Wozniak
Vertical and Horizontal Data Partitioning for Classifier Ensemble Learning. CORES (2019)
Barbara Bobowska, Jakub Klikowski, Michal Wozniak
Imbalanced Data Stream Classification Using Hybrid Data Preprocessing. PKDD/ECML Workshops (2) (2019)
Marios M. Polycarpou, André Carlos Ponce de Leon Ferreira de Carvalho, Jeng-Shyang Pan, Michal Wozniak, Héctor Quintián, Emilio Corchado
Special issue HAIS 2014: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems. Neurocomputing (2019)
José Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michal Wozniak, Salvador García
Monotonic classification: An overview on algorithms, performance measures and data sets. Neurocomputing 341 (2019)
Michal Koziarski, Bartosz Krawczyk, Michal Wozniak
Radial-Based oversampling for noisy imbalanced data classification. Neurocomputing 343 (2019)
Bartosz Krawczyk, Isaac Triguero, Salvador García, Michal Wozniak, Francisco Herrera
Instance reduction for one-class classification. Knowl. Inf. Syst. 59 (3) (2019)
Pawel Ksieniewicz, Michal Wozniak, Boguslaw Cyganek, Andrzej Kasprzak, Krzysztof Walkowiak
Data stream classification using active learned neural networks. Neurocomputing 353 (2019)
Lin Lu, Michal Wozniak
Imbalanced Data Classification Using Weighted Voting Ensemble. IP&C (2019)
Pawel Zyblewski, Robert Sabourin, Michal Wozniak
Data Preprocessing and Dynamic Ensemble Selection for Imbalanced Data Stream Classification. PKDD/ECML Workshops (2) (2019)
Pawel Ksieniewicz, Michal Choras, Rafal Kozik, Michal Wozniak
Machine Learning Methods for Fake News Classification. IDEAL (2) (2019)
Jakub Klikowski, Pawel Ksieniewicz, Michal Wozniak
A Genetic-Based Ensemble Learning Applied to Imbalanced Data Classification. IDEAL (2) (2019)
Bartosz Krawczyk, Michal Wozniak
On the Role of Cost-Sensitive Learning in Imbalanced Data Oversampling. ICCS (3) (2019)
Francisco Javier Martínez de Pisón Ascacíbar, Francisco Herrera, Ajith Abraham, Michal Wozniak, Emilio Corchado
Special issue on hybrid artificial intelligence systems from the HAIS 2017 conference - Editorial. Neurocomputing 354 (2019)
Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak
Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble. ICAISC (1) (2019)
Jakub Klikowski, Michal Wozniak
Multi Sampling Random Subspace Ensemble for Imbalanced Data Stream Classification. CORES (2019)
Ángel Arroyo, Álvaro Herrero, Verónica Tricio, Emilio Corchado, Michal Wozniak
Neural Models for Imputation of Missing Ozone Data in Air-Quality Datasets. Complex. 2018 (2018)
Jakub Zgraja, Michal Wozniak
Drifted Data Stream Clustering Based on ClusTree Algorithm. HAIS (2018)
José Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michal Wozniak, Salvador García
Monotonic classification: an overview on algorithms, performance measures and data sets. CoRR (2018)
Barbara Bobowska, Michal Wozniak
Experimental Study on Modified Radial-Based Oversampling. SOCO-CISIS-ICEUTE (2018)
Andrzej Lapinski, Bartosz Krawczyk, Pawel Ksieniewicz, Michal Wozniak
An Empirical Insight Into Concept Drift Detectors Ensemble Strategies. CEC (2018)
Jakub Zgraja, João Gama, Michal Wozniak
Active Learning by Clustering for Drifted Data Stream Classification. DMLE/IOTSTREAMING@PKDD/ECML (2018)
Bartosz Krawczyk, Michal Wozniak
Leveraging Ensemble Pruning for Imbalanced Data Classification. SMC (2018)
Barbara Bobowska, Michal Choras, Michal Wozniak
Advanced Analysis of Data Streams for Critical Infrastructures Protection and Cybersecurity. J. Univers. Comput. Sci. 24 (5) (2018)

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Publication Activity (10 Years)

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Michal Wozniak