| 2026 | AAAI | MFmamba: A Multi-function Network for Panchromatic Image Resolution Restoration Based on State-Space Model. | Qian Jiang, Qianqian Wang, Xin Jin, Michal Wozniak, Shaowen Yao, Wei Zhou |
| 2026 | HAIS | Active Learning and Self-labeling in Low-Budget Annotation. | Maria Fabijan, Michal Wozniak |
| 2024 | CVPR | Continual Learning with Weight Interpolation. | Jedrzej Kozal, Jan Wasilewski, Bartosz Krawczyk, Michal Wozniak |
| 2024 | ICDM | Non-stationary Imbalanced Data Stream Classification with Weighted One-Class Ensemble. | Jakub Klikowski, Michal Wozniak |
| 2024 | ICDM | Combining Active Learning and Self-Labeling for Deep Learning from Data Streams. | Jan Wasilewski, Michal Wozniak, Bartosz Krawczyk |
| 2024 | ICDM | Changing Lineup Classifier Ensemble for Drifting Imbalanced Data Streams. | Weronika Wegier, Maciej Maczynski, Michal Wozniak |
| 2024 | PIMRC | Modeling configuration-performance relation in a mobile network: a data-driven approach. | Michal Panek, Ireneusz Jablonski, Michal Wozniak |
| 2023 | ACL | Conjunct Lengths in English, Dependency Length Minimization, and Dependency Structure of Coordination. | Adam Przepirkowski, Michal Wozniak |
| 2023 | DSAA | A Continual Learning System with Self Domain Shift Adaptation for Fake News Detection. | Sebastin Basterrech, Andrzej Kasprzak, Jan Platos, Michal Wozniak |
| 2023 | GECCO | Optimized hybrid imbalanced data sampling for decision tree training. | Weronika Wegier, Michal Koziarski, Michal Wozniak |
| 2023 | ICAISC | Transfer of Knowledge Among Instruments in Automatic Music Transcription. | Michal Les, Michal Wozniak |
| 2023 | ICCCI | DE-Forest - Optimized Decision Tree Ensemble. | Joanna Grzyb, Michal Wozniak |
| 2023 | ICDM | Combining Self-labeling with Selective Sampling. | Jedrzej Kozal, Michal Wozniak |
| 2023 | ICDM | Defending Network IDS against Adversarial Examples with Continual Learning. | Jedrzej Kozal, Justyna Zwolinska, Marek Klonowski, Michal Wozniak |
| 2022 | ACIIDS | Employing Generative Adversarial Network in COVID-19 Diagnosis. | Jakub Deren, Michal Wozniak |
| 2022 | HAIS | Adapting K-Means Algorithm for Pair-Wise Constrained Clustering of Imbalanced Data Streams. | Szymon Wojciechowski, Germn Gonzlez-Almagro, Salvador Garca, Michal Wozniak |
| 2022 | ICAISC | Employing Convolutional Neural Networks for Continual Learning. | Marcin Jasinski, Michal Wozniak |
| 2022 | IJCNN | Search-based framework for transparent non-overlapping ensemble models. | Bogdan Gulowaty, Michal Wozniak |
| 2022 | IJCNN | Automated identification of systematic performance changes in 5G networks by changepoint tracking. | Michal Panek, Ireneusz Jablonski, Michal Wozniak |
| 2022 | ISDA | Experimental Analysis on Dissimilarity Metrics and Sudden Concept Drift Detection. | Sebastin Basterrech, Jan Platos, Gerardo Rubino, Michal Wozniak |
| 2022 | SMC | Tracking changes using Kullback-Leibler divergence for the continual learning. | Sebastin Basterrech, Michal Wozniak |
| 2021 | DSAA | RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification. | Michal Koziarski, Colin Bellinger, Michal Wozniak |
| 2021 | ICAISC | Dynamic Ensemble Selection for Imbalanced Data Stream Classification with Limited Label Access. | Pawel Zyblewski, Michal Wozniak |
| 2021 | ICCS | Application of Multi-objective Optimization to Feature Selection for a Difficult Data Classification Task. | Joanna Grzyb, Mariusz Topolski, Michal Wozniak |
| 2021 | ICCS | Scalable Handwritten Text Recognition System for Lexicographic Sources of Under-Resourced Languages and Alphabets. | Jan Idziak, Artjoms Sela, Michal Wozniak, Albert Lesniak, Joanna Byszuk, Maciej Eder |
| 2021 | ICCS | Transformer Based Models in Fake News Detection. | Sebastian Kula, Rafal Kozik, Michal Choras, Michal Wozniak |
| 2021 | IJCNN | Extracting Interpretable Decision Tree Ensemble from Random Forest. | Bogdan Gulowaty, Michal Wozniak |
| 2021 | WEBIST | Study on CPU and RAM Resource Consumption of Mobile Devices using Streaming Services. | Przemyslaw Falkowski-Gilski, Michal Wozniak |
| 2020 | ACIIDS | Data Preprocessing for des-knn and Its Application to Imbalanced Medical Data Classification. | Maciej Kinal, Michal Wozniak |
| 2020 | HAIS | Employing Decision Templates to Imbalanced Data Classification. | Szymon Wojciechowski, Michal Wozniak |
| 2020 | ICAISC | Combination of Active and Random Labeling Strategy in the Non-stationary Data Stream Classification. | Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak |
| 2020 | ICCS | Employing One-Class SVM Classifier Ensemble for Imbalanced Data Stream Classification. | Jakub Klikowski, Michal Wozniak |
| 2020 | ICCS | Sentiment Analysis for Fake News Detection by Means of Neural Networks. | Sebastian Kula, Michal Choras, Rafal Kozik, Pawel Ksieniewicz, Michal Wozniak |
| 2020 | ICCS | Performance Analysis of Binarization Strategies for Multi-class Imbalanced Data Classification. | Michal Zk, Michal Wozniak |
| 2020 | ICCS | Dynamic Classifier Selection for Data with Skewed Class Distribution Using Imbalance Ratio and Euclidean Distance. | Pawel Zyblewski, Michal Wozniak |
| 2020 | IJCNN | Employing dropout regularization to classify recurring drifted data streams. | Filip Guzy, Michal Wozniak |
| 2020 | IJCNN | Fake News Detection from Data Streams. | Pawel Ksieniewicz, Pawel Zyblewski, Michal Choras, Rafal Kozik, Agata Gielczyk, Michal Wozniak |
| 2019 | HAIS | Clustering-Based Ensemble Pruning and Multistage Organization Using Diversity. | Pawel Zyblewski, Michal Wozniak |
| 2019 | ICAISC | Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble. | Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak |
| 2019 | ICCS | On the Role of Cost-Sensitive Learning in Imbalanced Data Oversampling. | Bartosz Krawczyk, Michal Wozniak |
| 2019 | IDEAL | A Genetic-Based Ensemble Learning Applied to Imbalanced Data Classification. | Jakub Klikowski, Pawel Ksieniewicz, Michal Wozniak |
| 2019 | IDEAL | Machine Learning Methods for Fake News Classification. | Pawel Ksieniewicz, Michal Choras, Rafal Kozik, Michal Wozniak |
| 2018 | CEC | An Empirical Insight Into Concept Drift Detectors Ensemble Strategies. | Andrzej Lapinski, Bartosz Krawczyk, Pawel Ksieniewicz, Michal Wozniak |
| 2018 | HAIS | Multi-class Imbalanced Data Oversampling for Vertebral Column Pathologies Classification. | Jos A. Sez, Hctor Quintin, Bartosz Krawczyk, Michal Wozniak, Emilio Corchado |
| 2018 | HAIS | Drifted Data Stream Clustering Based on ClusTree Algorithm. | Jakub Zgraja, Michal Wozniak |
| 2018 | IJCNN | Selecting local ensembles for multi-class imbalanced data classification. | Bartosz Krawczyk, Alberto Cano, Michal Wozniak |
| 2018 | IDEAL | Imbalanced Data Classification Based on Feature Selection Techniques. | Pawel Ksieniewicz, Michal Wozniak |
| 2018 | SMC | Leveraging Ensemble Pruning for Imbalanced Data Classification. | Bartosz Krawczyk, Michal Wozniak |
| 2017 | HAIS | Radial-Based Approach to Imbalanced Data Oversampling. | Michal Koziarski, Bartosz Krawczyk, Michal Wozniak |
| 2017 | ICAISC | Efficient Real-Time Background Detection Based on the PCA Subspace Decomposition. | Boguslaw Cyganek, Michal Wozniak |
| 2017 | ICIAP | A Tensor Framework for Data Stream Clustering and Compression. | Boguslaw Cyganek, Michal Wozniak |
| 2017 | IJCNN | Online query by committee for active learning from drifting data streams. | Bartosz Krawczyk, Michal Wozniak |
| 2016 | FedCSIS | Forming Classifier Ensembles with Deterministic Feature Subspaces. | Michal Koziarski, Bartosz Krawczyk, Michal Wozniak |
| 2016 | HAIS | Hybrid Optimization Method Applied to Adaptive Splitting and Selection Algorithm. | Pedro Lpez-Garca, Michal Wozniak, Enrique Onieva, Asier Perallos |
| 2016 | HAIS | Ensemble of HOSVD Generated Tensor Subspace Classifiers with Optimal Tensor Flattening Directions. | Boguslaw Cyganek, Michal Wozniak, Dariusz Jankowski |
| 2016 | HAIS | Active Learning Classifier for Streaming Data. | Michal Wozniak, Boguslaw Cyganek, Andrzej Kasprzak, Pawel Ksieniewicz, Krzysztof Walkowiak |
| 2016 | ICCS | Efficient Computation of the Tensor Chordal Kernels. | Boguslaw Cyganek, Michal Wozniak |
| 2016 | ICCS | Workshop on Nonstationary Models of Pattern Recognition and Classifier Combinations. | Michal Wozniak, Bartosz Krawczyk |
| 2016 | ICCS | Active Learning Classification of Drifted Streaming Data. | Michal Wozniak, Pawel Ksieniewicz, Boguslaw Cyganek, Andrzej Kasprzak, Krzysztof Walkowiak |
| 2015 | ACIIDS | Pruning Ensembles of One-Class Classifiers with X-means Clustering. | Bartosz Krawczyk, Michal Wozniak |
| 2015 | ACIIDS | Pruning Ensembles with Cost Constraints. | Bartosz Krawczyk, Michal Wozniak |
| 2015 | ICCCI | Blurred Labeling Segmentation Algorithm for Hyperspectral Images. | Pawel Ksieniewicz, Manuel Graa, Michal Wozniak |
| 2015 | ICCS | Wagging for Combining Weighted One-class Support Vector Machines. | Bartosz Krawczyk, Michal Wozniak |
| 2015 | IDEAL | Cost-Sensitive Neural Network with ROC-Based Moving Threshold for Imbalanced Classification. | Bartosz Krawczyk, Michal Wozniak |
| 2015 | SMC | Weighted Nave Bayes Classifier with Forgetting for Drifting Data Streams. | Bartosz Krawczyk, Michal Wozniak |
| 2015 | TrustCom | Incremental One-Class Bagging for Streaming and Evolving Big Data. | Bartosz Krawczyk, Michal Wozniak |
| 2014 | ACIIDS | Vehicle Logo Recognition with an Ensemble of Classifiers. | Boguslaw Cyganek, Michal Wozniak |
| 2014 | ACIIDS | Optimization Algorithms for One-Class Classification Ensemble Pruning. | Bartosz Krawczyk, Michal Wozniak |
| 2014 | ACIIDS | The Influence of a Classifiers' Diversity on the Quality of Weighted Aging Ensemble. | Michal Wozniak, Piotr Cal, Boguslaw Cyganek |
| 2014 | CEC | A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification. | Bartosz Krawczyk, Isaac Triguero, Salvador Garca, Michal Wozniak, Francisco Herrera |
| 2014 | CIDM | Weighted one-class classification for different types of minority class examples in imbalanced data. | Bartosz Krawczyk, Michal Wozniak, Francisco Herrera |
| 2014 | HAIS | Hyperspectral Image Analysis Based on Color Channels and Ensemble Classifier. | Bartosz Krawczyk, Pawel Ksieniewicz, Michal Wozniak |
| 2014 | HAIS | Clustering-Based Ensemble of One-Class Classifiers for Hyperspectral Image Segmentation. | Bartosz Krawczyk, Michal Wozniak, Boguslaw Cyganek |
| 2014 | ICPR | Weighted One-Class Classifier Ensemble Based on Fuzzy Feature Space Partitioning. | Bartosz Krawczyk, Michal Wozniak, Boguslaw Cyganek |
| 2014 | IJCNN | New untrained aggregation methods for classifier combination. | Bartosz Krawczyk, Michal Wozniak |
| 2014 | ISNN | Untrained Method for Ensemble Pruning and Weighted Combination. | Bartosz Krawczyk, Michal Wozniak |
| 2014 | ISNN | One-Class Classification Ensemble with Dynamic Classifier Selection. | Bartosz Krawczyk, Michal Wozniak |
| 2013 | ACIIDS | Adaptive Splitting and Selection Method for Noninvasive Recognition of Liver Fibrosis Stage. | Bartosz Krawczyk, Michal Wozniak, Tomasz Orczyk, Piotr Porwik |
| 2013 | DCAI | Parallel Hoeffding Decision Tree for Streaming Data. | Piotr Cal, Michal Wozniak |
| 2013 | ETFA | A framework for image analysis and object recognition in industrial applications with the ensemble of classifiers. | Boguslaw Cyganek, Michal Wozniak |
| 2013 | FQAS | Weighted Aging Classifier Ensemble for the Incremental Drifted Data Streams. | Michal Wozniak, Andrzej Kasprzak, Piotr Cal |
| 2013 | HAIS | Distributed Privacy-Preserving Minimal Distance Classification. | Bartosz Krawczyk, Michal Wozniak |
| 2013 | ICAISC | Pruning One-Class Classifier Ensembles by Combining Sphere Intersection and Consistency Measures. | Bartosz Krawczyk, Michal Wozniak |
| 2013 | SACI | A cost-sensitive ensemble classifier for breast cancer classification. | Bartosz Krawczyk, Gerald Schaefer, Michal Wozniak |
| 2012 | ACIIDS | Data with Shifting Concept Classification Using Simulated Recurrence. | Piotr Sobolewski, Michal Wozniak |
| 2012 | ADBIS | Enhancing Concept Drift Detection with Simulated Recurrence. | Piotr Sobolewski, Michal Wozniak |
| 2012 | FedCSIS | Experiments on distance measures for combining one-class classifiers. | Bartosz Krawczyk, Michal Wozniak |
| 2012 | HAIS | Drift Detection and Model Selection Algorithms: Concept and Experimental Evaluation. | Piotr Cal, Michal Wozniak |
| 2012 | HAIS | Combining Diverse One-Class Classifiers. | Bartosz Krawczyk, Michal Wozniak |
| 2012 | ICCCI | Pixel-Based Object Detection and Tracking with Ensemble of Support Vector Machines and Extended Structural Tensor. | Boguslaw Cyganek, Michal Wozniak |
| 2012 | ICCCI | Adaptive Splitting and Selection Algorithm for Classification of Breast Cytology Images. | Bartosz Krawczyk, Pawel Filipczuk, Michal Wozniak |
| 2012 | ICCCI | Comparison of Fuzzy Combiner Training Methods. | Tomasz Wilk, Michal Wozniak |
| 2012 | IDEAL | Performance Evaluation of Hybrid Implementation of Support Vector Machine. | Konrad Gajewski, Michal Wozniak |
| 2012 | IDEAL | Cost-Sensitive Splitting and Selection Method for Medical Decision Support System. | Konrad Jackowski, Bartosz Krawczyk, Michal Wozniak |
| 2011 | ACIIDS | Multiple Classifier Method for Structured Output Prediction Based on Error Correcting Output Codes. | Tomasz Kajdanowicz, Michal Wozniak, Przemyslaw Kazienko |
| 2011 | ACIIDS | Knowledge Source Confidence Measure Applied to a Rule-Based Recognition System. | Michal Wozniak |
| 2011 | ACIIDS | Combining Classifier with a Fuser Implemented as a One Layer Perceptron. | Michal Wozniak, Marcin Zmyslony |
| 2011 | HAIS | Complexity and Multithreaded Implementation Analysis of One Class-Classifiers Fuzzy Combiner. | Tomasz Wilk, Michal Wozniak |
| 2011 | ICCSA | Decentralized Distributed Computing System for Privacy-Preserving Combined Classifiers - Modeling and Optimization. | Krzysztof Walkowiak, Szymon Sztajer, Michal Wozniak |
| 2010 | HAIS | Designing Fusers on the Basis of Discriminants - Evolutionary and Neural Methods of Training. | Michal Wozniak, Marcin Zmyslony |
| 2010 | ISDA | Simple combining classifiers for a special case of incremental concept drift problem. | Bartosz Kurlej, Piotr Sobolewski, Michal Wozniak |
| 2010 | ISDA | Designing combining classifier with trained fuser - Analytical and experimental evaluation. | Michal Wozniak, Marcin Zmyslony |
| 2009 | HAIS | Adaptive Splitting and Selection Method of Classifier Ensemble Building. | Konrad Jackowski, Michal Wozniak |
| 2009 | HAIS | Some Remarks on Chosen Methods of Classifier Fusion Based on Weighted Voting. | Michal Wozniak, Konrad Jackowski |
| 2009 | IDEAL | Modeling of Network Computing Systems for Decision Tree Induction Tasks. | Krzysztof Walkowiak, Michal Wozniak |
| 2009 | IDEAL | Modification of Nested Hyperrectangle Exemplar as a Proposition of Information Fusion Method. | Michal Wozniak |
| 2008 | HAIS | Fusers Based on Classifier Response and Discriminant Function - Comparative Study. | Michal Wozniak, Konrad Jackowski |
| 2008 | ISDA | Experiments with Boosted Decision Tree Classifiers. | Michal Wozniak |
| 2008 | ISDA | Classifier Fusion Based on Weighted Voting - Analytical and Experimental Results. | Michal Wozniak |
| 2005 | ICCS | Three Classifiers for Acute Abdominal Pain Diagnosis - Comparative Study. | Michal Wozniak |
| 2004 | ICCS | Proposition of Boosting Algorithm for Probabilistic Decision Support System. | Michal Wozniak |
| 2004 | ICCSA | Information Fusion for Probabilistic Reasoning and Its Application to the Medical Decision Support Systems. | Michal Wozniak |
| 2003 | ICCS | Application of the Confidence Measure in Knowledge Acquisition Process. | Michal Wozniak |
| 2003 | ICCSA | Case- and Rule-Based Algorithms for the Contextual Pattern Recognition Problem. | Michal Wozniak |
| 1995 | AIME | Diagnosis of Human Acid-Base Balance States via Combined Pattern Recognition of Markov Chains. | Marek Kurzynski, Michal Wozniak, Alexandra Blinowska |