Diagnosis of Human Acid-Base Balance States via Combined Pattern Recognition of Markov Chains. - Marek Kurzynski; Michal Wozniak 001; Alexandra Blinowska (AIME, 1995)

Application of the Confidence Measure in Knowledge Acquisition Process. - Michal Wozniak 001 (International Conference on Computational Science, 2003)

Case- and Rule-Based Algorithms for the Contextual Pattern Recognition Problem. - Michal Wozniak 001 (ICCSA (1), 2003)

Proposition of the Quality Measure for the Probabilistic Decision Support System. - Michal Wozniak 001 (IEA/AIE, 2003)

Concept of the Knowledge Quality Management for Rule-Based Decision System. - Michal Wozniak 001 (IIS, 2003)

Proposition of Boosting Algorithm for Probabilistic Decision Support System. - Michal Wozniak 001 (International Conference on Computational Science, 2004)

Information Fusion for Probabilistic Reasoning and Its Application to the Medical Decision Support Systems. - Michal Wozniak 001 (ICCSA (3), 2004)

Some Propositions of Information Fusion for Pattern Recognition with Context Task. - Michal Wozniak 001 (Australian Conference on Artificial Intelligence, 2005)

Machine Learning Methods for Dialysis Therapy Decision Problem - Comparative Study. - Wojciech Penar; Michal Wozniak 001 (CORES, 2005)

Three Classifiers for Acute Abdominal Pain Diagnosis - Comparative Study. - Michal Wozniak 001 (International Conference on Computational Science (3), 2005)

Boosted Decision Trees for Diagnosis Type of Hypertension. - Michal Wozniak 001 (ISBMDA, 2005)

Markov Chains Pattern Recognition Approach Applied to the Medical Diagnosis Tasks. - Michal Wozniak 001 (ISBMDA, 2005)

Adaptive Weights Calculation Procedure for Weighted Voting - Idea and Experimental Results. - Michal Wozniak 001 (ICDM (Posters), 2006)

Two-Stage Classifier for Diagnosis of Hypertension Type. - Michal Wozniak 001 (ISBMDA, 2006)

Proposition of common classifier construction for pattern recognition with context task. - Michal Wozniak 001 (Knowl. Based Syst., 2006)

Fusers Based on Classifier Response and Discriminant Function - Comparative Study. - Michal Wozniak 001; Konrad Jackowski (HAIS, 2008)

Experiments with Boosted Decision Tree Classifiers. - Michal Wozniak 001 (ISDA (1), 2008)

Classifier Fusion Based on Weighted Voting - Analytical and Experimental Results. - Michal Wozniak 001 (ISDA (2), 2008)

Experiments on Classifiers Obtained Via Decision Tree Induction Methods with Different Attribute Acquisition Cost Limit. - Wojciech Penar; Michal Wozniak 001 (Computer Recognition Systems 2, 2008)

Experiments on Linear Combiners. - Michal Wozniak 001 (Information Technologies in Biomedicine, 2008)

Experiments with Trained and Untrained Fusers. - Michal Wozniak 001 (Innovations in Hybrid Intelligent Systems, 2008)

Adaptive Splitting and Selection Method of Classifier Ensemble Building. - Konrad Jackowski; Michal Wozniak 001 (HAIS, 2009)

Some Remarks on Chosen Methods of Classifier Fusion Based on Weighted Voting. - Michal Wozniak 001; Konrad Jackowski (HAIS, 2009)

Bayes Multistage Classifier and Boosted C4.5 Algorithm in Acute Abdominal Pain Diagnosis. - Robert Burduk; Michal Wozniak 001 (ICMMI, 2009)

Decision Tree Induction Methods for Distributed Environment. - Krzysztof Walkowiak; Michal Wozniak 001 (ICMMI, 2009)

Modeling of Network Computing Systems for Decision Tree Induction Tasks. - Krzysztof Walkowiak; Michal Wozniak 001 (IDEAL, 2009)

Modification of Nested Hyperrectangle Exemplar as a Proposition of Information Fusion Method. - Michal Wozniak 001 (IDEAL, 2009)

Evolutionary Approach to Produce Classifier Ensemble based on Weighted Voting. - Michal Wozniak 001 (NaBIC, 2009)

Algorithm of designing compound recognition system on the basis of combining classifiers with simultaneous splitting feature space into competence areas. - Konrad Jackowski; Michal Wozniak 001 (Pattern Anal. Appl., 2009)

Multivariate Decision Trees vs. Univariate Ones. - Mariusz Koziol; Michal Wozniak 001 (Computer Recognition Systems 3, 2009)

Chosen problems of designing effective Multiple Classifier Systems. - Michal Wozniak 001; Marcin Zmyslony (CISIM, 2010)

Designing Fusers on the Basis of Discriminants - Evolutionary and Neural Methods of Training. - Michal Wozniak 001; Marcin Zmyslony (HAIS (1), 2010)

Fusion Methods for the Two Class Recognition Problem - Analytical and Experimental Results. - Michal Wozniak 001; Marcin Zmyslony (IP&C, 2010)

Simple combining classifiers for a special case of incremental concept drift problem. - Bartosz Kurlej; Piotr Sobolewski; Michal Wozniak 001 (ISDA, 2010)

Designing combining classifier with trained fuser - Analytical and experimental evaluation. - Michal Wozniak 001; Marcin Zmyslony (ISDA, 2010)

GRASP Algorithm for Optimization of Grids for Multiple Classifier System. - Tomasz Kacprzak; Krzysztof Walkowiak; Michal Wozniak 001 (SOCO, 2010)

Method of classifier selection using the genetic approach. - Konrad Jackowski; Michal Wozniak 001 (Expert Syst. J. Knowl. Eng., 2010)

Cost-sensitive methods of constructing hierarchical classifiers. - Wojciech Penar; Michal Wozniak 001 (Expert Syst. J. Knowl. Eng., 2010)

Computer recognition systems. - Michal Wozniak 001; Elif Derya Übeyli (Expert Syst. J. Knowl. Eng., 2010)

Multiple Classifier Method for Structured Output Prediction Based on Error Correcting Output Codes. - Tomasz Kajdanowicz; Michal Wozniak 001; Przemyslaw Kazienko (ACIIDS (2), 2011)

Knowledge Source Confidence Measure Applied to a Rule-Based Recognition System. - Michal Wozniak 001 (ACIIDS (1), 2011)

Combining Classifier with a Fuser Implemented as a One Layer Perceptron. - Michal Wozniak 001; Marcin Zmyslony (ACIIDS (2), 2011)

Complexity and Multithreaded Implementation Analysis of One Class-Classifiers Fuzzy Combiner. - Tomasz Wilk; Michal Wozniak 001 (HAIS (2), 2011)

Learning Curve in Concept Drift While Using Active Learning Paradigm. - Bartosz Kurlej; Michal Wozniak 001 (ICAIS, 2011)

Artificial Recurrence for Classification of Streaming Data with Concept Shift. - Piotr Sobolewski; Michal Wozniak 001 (ICAIS, 2011)

Decentralized Distributed Computing System for Privacy-Preserving Combined Classifiers - Modeling and Optimization. - Krzysztof Walkowiak; Szymon Sztajer; Michal Wozniak 001 (ICCSA (1), 2011)

Designing Cost-Sensitive Ensemble - Genetic Approach. - Bartosz Krawczyk; Michal Wozniak 001 (IP&C, 2011)

Editorial: Neuro-symbolic Algorithms and Models for Bio-inspired Systems. - Emilio Corchado; Michal Wozniak 001 (Log. J. IGPL, 2011)

Optimizing distributed computing systems for k-nearest neighbours classifiers - evolutionary approach. - Michal Przewozniczek; Krzysztof Walkowiak; Michal Wozniak 001 (Log. J. IGPL, 2011)

A hybrid decision tree training method using data streams. - Michal Wozniak 001 (Knowl. Inf. Syst., 2011)

Privacy Preserving Models of k-NN Algorithm. - Bartosz Krawczyk; Michal Wozniak 001 (Computer Recognition Systems 4, 2011)

Data with Shifting Concept Classification Using Simulated Recurrence. - Piotr Sobolewski; Michal Wozniak 001 (ACIIDS (1), 2012)

Enhancing Concept Drift Detection with Simulated Recurrence. - Piotr Sobolewski; Michal Wozniak 001 (ADBIS Workshops, 2012)

Breast thermogram analysis using a cost-sensitive multiple classifier system. - Bartosz Krawczyk; Gerald Schaefer; Michal Wozniak 001 (BHI, 2012)

Experiments on distance measures for combining one-class classifiers. - Bartosz Krawczyk; Michal Wozniak 001 (FedCSIS, 2012)

Drift Detection and Model Selection Algorithms: Concept and Experimental Evaluation. - Piotr Cal; Michal Wozniak 001 (HAIS (2), 2012)

Combining Diverse One-Class Classifiers. - Bartosz Krawczyk; Michal Wozniak 001 (HAIS (2), 2012)

Pixel-Based Object Detection and Tracking with Ensemble of Support Vector Machines and Extended Structural Tensor. - Boguslaw Cyganek; Michal Wozniak 001 (ICCCI (1), 2012)

Adaptive Splitting and Selection Algorithm for Classification of Breast Cytology Images. - Bartosz Krawczyk; Pawel Filipczuk; Michal Wozniak 001 (ICCCI (1), 2012)

Comparison of Fuzzy Combiner Training Methods. - Tomasz Wilk; Michal Wozniak 001 (ICCCI (1), 2012)

Performance Evaluation of Hybrid Implementation of Support Vector Machine. - Konrad Gajewski; Michal Wozniak 001 (IDEAL, 2012)

Cost-Sensitive Splitting and Selection Method for Medical Decision Support System. - Konrad Jackowski; Bartosz Krawczyk; Michal Wozniak 001 (IDEAL, 2012)

Analysis of Diversity Assurance Methods for Combined Classifiers. - Bartosz Krawczyk; Michal Wozniak 001 (IP&C, 2012)

Combined Bayesian Classifiers Applied to Spam Filtering Problem. - Karol Wrótniak; Michal Wozniak 001 (CISIS/ICEUTE/SOCO Special Sessions, 2012)

Combined Classifiers with Neural Fuser for Spam Detection. - Marcin Zmyslony; Bartosz Krawczyk; Michal Wozniak 001 (CISIS/ICEUTE/SOCO Special Sessions, 2012)

Combined classifier based on feature space partitioning. - Michal Wozniak 001; Bartosz Krawczyk (Int. J. Appl. Math. Comput. Sci., 2012)

Combining classifiers under probabilistic models: experimental comparative analysis of methods. - Marek Kurzynski; Michal Wozniak 001 (Expert Syst. J. Knowl. Eng., 2012)

Special issue: HAIS 2010. - Manuel Graña; Emilio Corchado; Michal Wozniak 001 (Log. J. IGPL, 2012)

Optimization of overlay distributed computing systems for multiple classifier system - heuristic approach. - Tomasz Kacprzak; Krzysztof Walkowiak; Michal Wozniak 001 (Log. J. IGPL, 2012)

Active learning approach to concept drift problem. - Bartosz Kurlej; Michal Wozniak 001 (Log. J. IGPL, 2012)

Editorial: New trends and applications on hybrid artificial intelligence systems. - Emilio Corchado; Manuel Graña; Michal Wozniak 001 (Neurocomputing, 2012)

Soft computing methods applied to combination of one-class classifiers. - Tomasz Wilk; Michal Wozniak 001 (Neurocomputing, 2012)

Special Issue on Hybrid Artificial Intelligent Systems. - Manuel Graña; Emilio Corchado; Michal Wozniak 001 (J. Math. Imaging Vis., 2012)

Adaptive Splitting and Selection Method for Noninvasive Recognition of Liver Fibrosis Stage. - Bartosz Krawczyk; Michal Wozniak 001; Tomasz Orczyk; Piotr Porwik (ACIIDS (2), 2013)

LDCnet: Minimizing the cost of supervision for various types of concept drift. - Piotr Sobolewski; Michal Wozniak 001 (CIDUE, 2013)

Accuracy and diversity in classifier selection for one-class classification ensembles. - Bartosz Krawczyk; Michal Wozniak 001 (CIEL, 2013)

On diversity measures for fuzzy one-class classifier ensembles. - Bartosz Krawczyk; Michal Wozniak 001 (CIEL, 2013)

Combining one-class classifiers for imbalanced classification of breast thermogram features. - Bartosz Krawczyk; Gerald Schaefer; Michal Wozniak 001 (CIMI, 2013)

Application of Combined Classifiers to Data Stream Classification. - Michal Wozniak 001 (CISIM, 2013)

Data Preprocessing with GPU for DBSCAN Algorithm. - Piotr Cal; Michal Wozniak 001 (CORES, 2013)

Incremental Learning and Forgetting in One-Class Classifiers for Data Streams. - Bartosz Krawczyk; Michal Wozniak 001 (CORES, 2013)

Cost Sensitive Hierarchical Classifiers for Non-invasive Recognition of Liver Fibrosis Stage. - Bartosz Krawczyk; Michal Wozniak 001; Tomasz Orczyk; Piotr Porwik (CORES, 2013)

Comparable Study of Statistical Tests for Virtual Concept Drift Detection. - Piotr Sobolewski; Michal Wozniak 001 (CORES, 2013)

Parallel Hoeffding Decision Tree for Streaming Data. - Piotr Cal; Michal Wozniak 001 (DCAI, 2013)

A framework for image analysis and object recognition in industrial applications with the ensemble of classifiers. - Boguslaw Cyganek; Michal Wozniak 001 (ETFA, 2013)

Weighted Aging Classifier Ensemble for the Incremental Drifted Data Streams. - Michal Wozniak 001; Andrzej Kasprzak; Piotr Cal (FQAS, 2013)

Distributed Privacy-Preserving Minimal Distance Classification. - Bartosz Krawczyk; Michal Wozniak 001 (HAIS, 2013)

Pruning One-Class Classifier Ensembles by Combining Sphere Intersection and Consistency Measures. - Bartosz Krawczyk; Michal Wozniak 001 (ICAISC (1), 2013)

Weighed Aging Ensemble of Heterogenous Classifiers for Incremental Drift Classification. - Michal Wozniak 001; Piotr Cal (MICAI (2), 2013)

A cost-sensitive ensemble classifier for breast cancer classification. - Bartosz Krawczyk; Gerald Schaefer; Michal Wozniak 001 (SACI, 2013)

Application of Adaptive Splitting and Selection Classifier to the Spam Filtering Problem. - Konrad Jackowski; Bartosz Krawczyk; Michal Wozniak 001 (Cybern. Syst., 2013)

Guest Editorial: Intelligent Network Security and Survivability. - Krzysztof Walkowiak; Michal Wozniak 001 (Cybern. Syst., 2013)

Special section on invited papers from NetCoM-2009. - Sanguthevar Rajasekaran; Michal Wozniak 001 (Future Gener. Comput. Syst., 2013)

Concept Drift Detection and Model Selection with Simulated Recurrence and Ensembles of Statistical Detectors. - Piotr Sobolewski; Michal Wozniak 001 (J. Univers. Comput. Sci., 2013)

Classifier ensemble for an effective cytological image analysis. - Pawel Filipczuk; Bartosz Krawczyk; Michal Wozniak 001 (Pattern Recognit. Lett., 2013)

Special issue on "Innovative knowledge based techniques in pattern recognition". - Manuel Graña; Michal Wozniak 001; Nima Hatami (Pattern Recognit. Lett., 2013)

E-medical diagnosis support system for non-invasive liver fibrosis recognition. - Tomasz Orczyk; Piotr Porwik; Bartosz Krawczyk; Michal Wozniak 001; Joanna Musialik; Barbara Blonska-Fajfrowska (Stud. Inform. Univ., 2013)

Vehicle Logo Recognition with an Ensemble of Classifiers. - Boguslaw Cyganek; Michal Wozniak 001 (ACIIDS (2), 2014)

Optimization Algorithms for One-Class Classification Ensemble Pruning. - Bartosz Krawczyk; Michal Wozniak 001 (ACIIDS (2), 2014)

The Influence of a Classifiers' Diversity on the Quality of Weighted Aging Ensemble. - Michal Wozniak 001; Piotr Cal; Boguslaw Cyganek (ACIIDS (2), 2014)

A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification. - Bartosz Krawczyk; Isaac Triguero; Salvador García 001; Michal Wozniak 001; Francisco Herrera (IEEE Congress on Evolutionary Computation, 2014)

Adaptive Splitting and Selection ensemble for breast cancer malignancy grading. - Bartosz Krawczyk; Lukasz Jelen; Michal Wozniak 001 (CICARE, 2014)

Weighted one-class classification for different types of minority class examples in imbalanced data. - Bartosz Krawczyk; Michal Wozniak 001; Francisco Herrera (CIDM, 2014)

Experiments on simultaneous combination rule training and ensemble pruning algorithm. - Bartosz Krawczyk; Michal Wozniak 001 (CIEL, 2014)

Hyperspectral Image Analysis Based on Color Channels and Ensemble Classifier. - Bartosz Krawczyk; Pawel Ksieniewicz; Michal Wozniak 001 (HAIS, 2014)

Clustering-Based Ensemble of One-Class Classifiers for Hyperspectral Image Segmentation. - Bartosz Krawczyk; Michal Wozniak 001; Boguslaw Cyganek (HAIS, 2014)

Weighted One-Class Classifier Ensemble Based on Fuzzy Feature Space Partitioning. - Bartosz Krawczyk; Michal Wozniak 001; Boguslaw Cyganek (ICPR, 2014)

Hypertension Type Classification Using Hierarchical Ensemble of One-Class Classifiers for Imbalanced Data. - Bartosz Krawczyk; Michal Wozniak 001 (ICT Innovations, 2014)

Handling Label Noise in Microarray Classification with One-Class Classifier Ensemble. - Bartosz Krawczyk; Michal Wozniak 001 (ICT Innovations, 2014)

Identifying Features with Concept Drift in Multidimensional Data Using Statistical Tests. - Piotr Sobolewski; Michal Wozniak 001 (AIAI, 2014)

New untrained aggregation methods for classifier combination. - Bartosz Krawczyk; Michal Wozniak 001 (IJCNN, 2014)

Untrained Method for Ensemble Pruning and Weighted Combination. - Bartosz Krawczyk; Michal Wozniak 001 (ISNN, 2014)

One-Class Classification Ensemble with Dynamic Classifier Selection. - Bartosz Krawczyk; Michal Wozniak 001 (ISNN, 2014)

Hyperspectral Image Analysis Based on Quad Tree Decomposition. - Bartosz Krawczyk; Pawel Ksieniewicz; Michal Wozniak 001 (SOCO-CISIS-ICEUTE, 2014)

Evolutionary Cost-Sensitive Ensemble for Malware Detection. - Bartosz Krawczyk; Michal Wozniak 001 (SOCO-CISIS-ICEUTE, 2014)

Influence of Distance Measures on the Effectiveness of One-Class Classification Ensembles. - Bartosz Krawczyk; Michal Wozniak 001 (Appl. Artif. Intell., 2014)

Cost-sensitive decision tree ensembles for effective imbalanced classification. - Bartosz Krawczyk; Michal Wozniak 001; Gerald Schaefer (Appl. Soft Comput., 2014)

Optimization of Multicast Traffic in Elastic Optical Networks With Distance-Adaptive Transmission. - Krzysztof Walkowiak; Róza Goscien; Miroslaw Klinkowski; Michal Wozniak 001 (IEEE Commun. Lett., 2014)

Improved Adaptive Splitting and Selection: the Hybrid Training Method of a Classifier Based on a Feature Space Partitioning. - Konrad Jackowski; Bartosz Krawczyk; Michal Wozniak 001 (Int. J. Neural Syst., 2014)

Recent trends in intelligent data analysis. - Emilio Corchado; Michal Wozniak 001; Ajith Abraham; André Carlos Ponce de Leon Ferreira de Carvalho; Václav Snásel (Neurocomputing, 2014)

Diversity measures for one-class classifier ensembles. - Bartosz Krawczyk; Michal Wozniak 001 (Neurocomputing, 2014)

Guest Editorial: Hybrid intelligent fusion systems. - Michal Wozniak 001; Emilio S. Corchado Rodríguez; Manuel Graña Romay (Inf. Fusion, 2014)

A survey of multiple classifier systems as hybrid systems. - Michal Wozniak 001; Manuel Graña; Emilio Corchado (Inf. Fusion, 2014)

Clustering-based ensembles for one-class classification. - Bartosz Krawczyk; Michal Wozniak 001; Boguslaw Cyganek (Inf. Sci., 2014)

Hybrid Classifiers - Methods of Data, Knowledge, and Classifier Combination - Michal Wozniak 001 (Springer, 2014)

Pruning Ensembles of One-Class Classifiers with X-means Clustering. - Bartosz Krawczyk; Michal Wozniak 001 (ACIIDS (1), 2015)

Pruning Ensembles with Cost Constraints. - Bartosz Krawczyk; Michal Wozniak 001 (ACIIDS (1), 2015)

Selected aspects of electronic health record analysis from the big data perspective. - Boguslaw Cyganek; Manuel Graña; Andrzej Kasprzak; Krzysztof Walkowiak; Michal Wozniak 001 (BIBM, 2015)

Tensor based representation and analysis of the electronic healthcare record data. - Boguslaw Cyganek; Michal Wozniak 001 (BIBM, 2015)

Modelling Dental Milling Process with Machine Learning-Based Regression Algorithms. - Konrad Jackowski; Dariusz Jankowski; Héctor Quintián; Emilio Corchado; Michal Wozniak 001 (CORES, 2015)

Artificial Photoreceptors for Ensemble Classification of Hyperspectral Images. - Pawel Ksieniewicz; Michal Wozniak 001 (CORES, 2015)

Reacting to different types of concept drift with adaptive and incremental one-class classifiers. - Bartosz Krawczyk; Michal Wozniak 001 (CYBCONF, 2015)

Combining nearest neighbour classifiers based on small subsamples for big data analytics. - Bartosz Krawczyk; Michal Wozniak 001 (CYBCONF, 2015)

Joint optimization of multicast and unicast flows in elastic optical networks. - Krzysztof Walkowiak; Róza Goscien; Michal Wozniak 001; Miroslaw Klinkowski (ICC, 2015)

Wagging for Combining Weighted One-class Support Vector Machines. - Bartosz Krawczyk; Michal Wozniak 001 (ICCS, 2015)

Blurred Labeling Segmentation Algorithm for Hyperspectral Images. - Pawel Ksieniewicz; Manuel Graña; Michal Wozniak 001 (ICCCI (2), 2015)

Algorithms for calculation of candidate trees for efficient multicasting in elastic optical networks. - Krzysztof Walkowiak; Andrzej Kasprzak; Michal Wozniak 001 (ICTON, 2015)

Cost-Sensitive Neural Network with ROC-Based Moving Threshold for Imbalanced Classification. - Bartosz Krawczyk; Michal Wozniak 001 (IDEAL, 2015)

Impact of fanout and transmission reach on performance of multicasting in Elastic Optical Networks. - Krzysztof Walkowiak; Róza Goscien; Massimo Tornatore; Michal Wozniak 001 (OFC, 2015)

Weighted Naïve Bayes Classifier with Forgetting for Drifting Data Streams. - Bartosz Krawczyk; Michal Wozniak 001 (SMC, 2015)

Incremental One-Class Bagging for Streaming and Evolving Big Data. - Bartosz Krawczyk; Michal Wozniak 001 (TrustCom/BigDataSE/ISPA (2), 2015)

A hybrid cost-sensitive ensemble for imbalanced breast thermogram classification. - Bartosz Krawczyk; Gerald Schaefer; Michal Wozniak 001 (Artif. Intell. Medicine, 2015)

Multidimensional data classification with chordal distance based kernel and Support Vector Machines. - Boguslaw Cyganek; Bartosz Krawczyk; Michal Wozniak 001 (Eng. Appl. Artif. Intell., 2015)

A novel hyperspectral segmentation algorithm - concept and evaluation. - Pawel Ksieniewicz; Dariusz Jankowski; Borja Ayerdi; Konrad Jackowski; Manuel Graña; Michal Wozniak 001 (Log. J. IGPL, 2015)

Editorial: Special issue HAIS12-IGPL. - Héctor Quintián; Emilio Corchado; André Carlos Ponce de Leon Ferreira de Carvalho; Ajith Abraham; Michal Wozniak 001; Manuel Graña; Sung-Bae Cho (Log. J. IGPL, 2015)

Data stream classification and big data analytics. - Bartosz Krawczyk; Jerzy Stefanowski; Michal Wozniak 001 (Neurocomputing, 2015)

Special issue HAIS 2012: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems. - Héctor Quintián; Emilio Corchado; Ajith Abraham; André C. P. L. F. de Carvalho; Michal Wozniak 001; Václav Snásel; Sung-Bae Cho (Neurocomputing, 2015)

Incremental weighted one-class classifier for mining stationary data streams. - Bartosz Krawczyk; Michal Wozniak 001 (J. Comput. Sci., 2015)

An Improved Vehicle Logo Recognition Using a Classifier Ensemble Based on Pattern Tensor Representation and Decomposition. - Boguslaw Cyganek; Michal Wozniak 001 (New Gener. Comput., 2015)

Optical networks for cost-efficient and scalable provisioning of big data traffic. - Krzysztof Walkowiak; Michal Wozniak 001; Miroslaw Klinkowski; Wojciech Kmiecik (Int. J. Parallel Emergent Distributed Syst., 2015)

On the usefulness of one-class classifier ensembles for decomposition of multi-class problems. - Bartosz Krawczyk; Michal Wozniak 001; Francisco Herrera (Pattern Recognit., 2015)

One-class classifiers with incremental learning and forgetting for data streams with concept drift. - Bartosz Krawczyk; Michal Wozniak 001 (Soft Comput., 2015)

Ensembles of Heterogeneous Concept Drift Detectors - Experimental Study. - Michal Wozniak 001; Pawel Ksieniewicz; Boguslaw Cyganek; Krzysztof Walkowiak (CISIM, 2016)

On Robust Computation of Tensor Classifiers Based on the Higher-Order Singular Value Decomposition. - Boguslaw Cyganek; Michal Wozniak 001 (CSOC (2), 2016)

Efficient Multidimensional Pattern Recognition in Kernel Tensor Subspaces. - Boguslaw Cyganek; Michal Wozniak 001 (DMBD, 2016)

Ensemble of One-Dimensional Classifiers for Hyperspectral Image Analysis. - Pawel Ksieniewicz; Bartosz Krawczyk; Michal Wozniak 001 (DMBD, 2016)

A First Attempt on Online Data Stream Classifier Using Context. - Michal Wozniak 001; Boguslaw Cyganek (DMBD, 2016)

Forming Classifier Ensembles with Deterministic Feature Subspaces. - Michal Koziarski; Bartosz Krawczyk; Michal Wozniak 001 (FedCSIS, 2016)

Tackling label noise with multi-class decomposition using fuzzy one-class support vector machines. - Bartosz Krawczyk; José A. Sáez; Michal Wozniak 001 (FUZZ-IEEE, 2016)

Hybrid Optimization Method Applied to Adaptive Splitting and Selection Algorithm. - Pedro López-García 002; Michal Wozniak 001; Enrique Onieva; Asier Perallos (HAIS, 2016)

Ensemble of HOSVD Generated Tensor Subspace Classifiers with Optimal Tensor Flattening Directions. - Boguslaw Cyganek; Michal Wozniak 001; Dariusz Jankowski (HAIS, 2016)

Active Learning Classifier for Streaming Data. - Michal Wozniak 001; Boguslaw Cyganek; Andrzej Kasprzak; Pawel Ksieniewicz; Krzysztof Walkowiak (HAIS, 2016)

Efficient Computation of the Tensor Chordal Kernels. - Boguslaw Cyganek; Michal Wozniak 001 (ICCS, 2016)

Workshop on Nonstationary Models of Pattern Recognition and Classifier Combinations. - Michal Wozniak 001; Bartosz Krawczyk (ICCS, 2016)

Active Learning Classification of Drifted Streaming Data. - Michal Wozniak 001; Pawel Ksieniewicz; Boguslaw Cyganek; Andrzej Kasprzak; Krzysztof Walkowiak (ICCS, 2016)

A First Attempt to Construct Effective Concept Drift Detector Ensembles. - Michal Wozniak 001; Pawel Ksieniewicz; Andrzej Kasprzak; Karol Puchala; Przemyslaw Ryba (IP&C, 2016)

A Survey of Big Data Issues in Electronic Health Record Analysis. - Boguslaw Cyganek; Manuel Graña; Bartosz Krawczyk; Andrzej Kasprzak; Piotr Porwik; Krzysztof Walkowiak; Michal Wozniak 001 (Appl. Artif. Intell., 2016)

Intelligent Methods Applied to Health-Care Information Systems. - Boguslaw Cyganek; Manuel Graña; Piotr Porwik; Michal Wozniak 001 (Appl. Artif. Intell., 2016)

On the Influence of Class Noise in Medical Data Classification: Treatment Using Noise Filtering Methods. - José A. Sáez; Bartosz Krawczyk; Michal Wozniak 001 (Appl. Artif. Intell., 2016)

A new heuristic for influence maximization in social networks. - J. David Nuñez-Gonzalez; Borja Ayerdi; Manuel Graña; Michal Wozniak 001 (Log. J. IGPL, 2016)

Recent advancements in hybrid artificial intelligence systems and its application to real-world problems. - Emilio Corchado; Ajith Abraham; André C. P. L. F. de Carvalho; Michal Wozniak 001; Sung-Bae Cho; Héctor Quintián (Neurocomputing, 2016)

Untrained weighted classifier combination with embedded ensemble pruning. - Bartosz Krawczyk; Michal Wozniak 001 (Neurocomputing, 2016)

Dynamic classifier selection for one-class classification. - Bartosz Krawczyk; Michal Wozniak 001 (Knowl. Based Syst., 2016)

Analyzing the oversampling of different classes and types of examples in multi-class imbalanced datasets. - José A. Sáez; Bartosz Krawczyk; Michal Wozniak 001 (Pattern Recognit., 2016)

Concept Drift Analysis for Improving Anomaly Detection Systems in Cybersecurity. - Michal Choras; Michal Wozniak 001 (CECC, 2017)

Distributed DBSCAN Algorithm - Concept and Experimental Evaluation. - Adam Merk; Piotr Cal; Michal Wozniak 001 (CORES, 2017)

Radial-Based Approach to Imbalanced Data Oversampling. - Michal Koziarski; Bartosz Krawczyk; Michal Wozniak 001 (HAIS, 2017)

Efficient Real-Time Background Detection Based on the PCA Subspace Decomposition. - Boguslaw Cyganek; Michal Wozniak 001 (ICAISC (1), 2017)

A Tensor Framework for Data Stream Clustering and Compression. - Boguslaw Cyganek; Michal Wozniak 001 (ICIAP (1), 2017)

Online query by committee for active learning from drifting data streams. - Bartosz Krawczyk; Michal Wozniak 001 (IJCNN, 2017)

Dealing with the task of imbalanced, multidimensional data classification using ensembles of exposers. - Pawel Ksieniewicz; Michal Wozniak 001 (LIDTA@PKDD/ECML, 2017)

On Efficient Computation of Tensor Subspace Kernels for Multi-dimensional Data. - Boguslaw Cyganek; Michal Wozniak 001 (VISIGRAPP (5: VISAPP), 2017)

CCR: A combined cleaning and resampling algorithm for imbalanced data classification. - Michal Koziarski; Michal Wozniak 001 (Int. J. Appl. Math. Comput. Sci., 2017)

Fault diagnosis of marine 4-stroke diesel engines using a one-vs-one extreme learning ensemble. - Jerzy Kowalski; Bartosz Krawczyk; Michal Wozniak 001 (Eng. Appl. Artif. Intell., 2017)

SCR: simulated concept recurrence - a non-supervised tool for dealing with shifting concept. - Piotr Sobolewski; Michal Wozniak 001 (Expert Syst. J. Knowl. Eng., 2017)

A survey on data preprocessing for data stream mining: Current status and future directions. - Sergio Ramírez-Gallego; Bartosz Krawczyk; Salvador García 001; Michal Wozniak 001; Francisco Herrera (Neurocomputing, 2017)

Ensemble learning for data stream analysis: A survey. - Bartosz Krawczyk; Leandro L. Minku; João Gama 001; Jerzy Stefanowski; Michal Wozniak 001 (Inf. Fusion, 2017)

Paired feature multilayer ensemble - concept and evaluation of a classifier. - Pawel Ksieniewicz; Manuel Graña; Michal Wozniak 001 (J. Intell. Fuzzy Syst., 2017)

Tensor-Based Shot Boundary Detection in Video Streams. - Boguslaw Cyganek; Michal Wozniak 001 (New Gener. Comput., 2017)

The deterministic subspace method for constructing classifier ensembles. - Michal Koziarski; Bartosz Krawczyk; Michal Wozniak 001 (Pattern Anal. Appl., 2017)

Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark. - Sergio Ramírez-Gallego; Bartosz Krawczyk; Salvador García 001; Michal Wozniak 001; José Manuel Benítez 001; Francisco Herrera (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Combining active learning with concept drift detection for data stream mining. - Bartosz Krawczyk; Bernhard Pfahringer; Michal Wozniak 001 (IEEE BigData, 2018)

An Empirical Insight Into Concept Drift Detectors Ensemble Strategies. - Andrzej Lapinski; Bartosz Krawczyk; Pawel Ksieniewicz; Michal Wozniak 001 (CEC, 2018)

Multi-class Imbalanced Data Oversampling for Vertebral Column Pathologies Classification. - José A. Sáez; Héctor Quintián; Bartosz Krawczyk; Michal Wozniak 001; Emilio Corchado (HAIS, 2018)

Drifted Data Stream Clustering Based on ClusTree Algorithm. - Jakub Zgraja; Michal Wozniak 001 (HAIS, 2018)

Imbalanced Data Classification Based on Feature Selection Techniques. - Pawel Ksieniewicz; Michal Wozniak 001 (IDEAL (2), 2018)

Selecting local ensembles for multi-class imbalanced data classification. - Bartosz Krawczyk; Alberto Cano 001; Michal Wozniak 001 (IJCNN, 2018)

Active Learning by Clustering for Drifted Data Stream Classification. - Jakub Zgraja; João Gama 001; Michal Wozniak 001 (DMLE/IOTSTREAMING@PKDD/ECML, 2018)

Leveraging Ensemble Pruning for Imbalanced Data Classification. - Bartosz Krawczyk; Michal Wozniak 001 (SMC, 2018)

Experimental Study on Modified Radial-Based Oversampling. - Barbara Bobowska; Michal Wozniak 001 (SOCO-CISIS-ICEUTE, 2018)

Neural Models for Imputation of Missing Ozone Data in Air-Quality Datasets. - Ángel Arroyo; Álvaro Herrero 001; Verónica Tricio; Emilio Corchado; Michal Wozniak 001 (Complex., 2018)

Ensemble of Extreme Learning Machines with trained classifier combination and statistical features for hyperspectral data. - Pawel Ksieniewicz; Bartosz Krawczyk; Michal Wozniak 001 (Neurocomputing, 2018)

Advanced Analysis of Data Streams for Critical Infrastructures Protection and Cybersecurity. - Barbara Bobowska; Michal Choras; Michal Wozniak 001 (J. Univers. Comput. Sci., 2018)

Dynamic ensemble selection for multi-class classification with one-class classifiers. - Bartosz Krawczyk; Mikel Galar; Michal Wozniak 001; Humberto Bustince; Francisco Herrera (Pattern Recognit., 2018)

Multi Sampling Random Subspace Ensemble for Imbalanced Data Stream Classification. - Jakub Klikowski; Michal Wozniak 001 (CORES, 2019)

Vertical and Horizontal Data Partitioning for Classifier Ensemble Learning. - Amgad M. Mohammed; Enrique Onieva; Michal Wozniak 001 (CORES, 2019)

Clustering-Based Ensemble Pruning and Multistage Organization Using Diversity. - Pawel Zyblewski; Michal Wozniak 001 (HAIS, 2019)

Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble. - Pawel Zyblewski; Pawel Ksieniewicz; Michal Wozniak 001 (ICAISC (1), 2019)

On the Role of Cost-Sensitive Learning in Imbalanced Data Oversampling. - Bartosz Krawczyk; Michal Wozniak 001 (ICCS (3), 2019)

A Genetic-Based Ensemble Learning Applied to Imbalanced Data Classification. - Jakub Klikowski; Pawel Ksieniewicz; Michal Wozniak 001 (IDEAL (2), 2019)

Machine Learning Methods for Fake News Classification. - Pawel Ksieniewicz; Michal Choras; Rafal Kozik; Michal Wozniak 001 (IDEAL (2), 2019)

Imbalanced Data Classification Using Weighted Voting Ensemble. - Lin Lu; Michal Wozniak 001 (IP&C, 2019)

Imbalanced Data Stream Classification Using Hybrid Data Preprocessing. - Barbara Bobowska; Jakub Klikowski; Michal Wozniak 001 (PKDD/ECML Workshops (2), 2019)

Data Preprocessing and Dynamic Ensemble Selection for Imbalanced Data Stream Classification. - Pawel Zyblewski; Robert Sabourin; Michal Wozniak 001 (PKDD/ECML Workshops (2), 2019)

Special issue on hybrid artificial intelligence systems from the HAIS 2017 conference - Editorial. - Francisco Javier Martínez de Pisón Ascacíbar; Francisco Herrera; Ajith Abraham; Michal Wozniak 001; Emilio Corchado (Neurocomputing, 2019)

Monotonic classification: An overview on algorithms, performance measures and data sets. - José Ramón Cano; Pedro Antonio Gutiérrez; Bartosz Krawczyk; Michal Wozniak 001; Salvador García 001 (Neurocomputing, 2019)

Radial-Based oversampling for noisy imbalanced data classification. - Michal Koziarski; Bartosz Krawczyk; Michal Wozniak 001 (Neurocomputing, 2019)

Data stream classification using active learned neural networks. - Pawel Ksieniewicz; Michal Wozniak 001; Boguslaw Cyganek; Andrzej Kasprzak; Krzysztof Walkowiak (Neurocomputing, 2019)

Special issue HAIS 2014: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems. - Marios M. Polycarpou; André Carlos Ponce de Leon Ferreira de Carvalho; Jeng-Shyang Pan 001; Michal Wozniak 001; Héctor Quintián; Emilio Corchado (Neurocomputing, 2019)

Adapting ClusTree for more challenging data stream environments. - Jakub Zgraja; Richard Hugh Moulton; João Gama 001; Andrzej Kasprzak; Michal Wozniak 001 (J. Intell. Fuzzy Syst., 2019)

Instance reduction for one-class classification. - Bartosz Krawczyk; Isaac Triguero; Salvador García 001; Michal Wozniak 001; Francisco Herrera (Knowl. Inf. Syst., 2019)

Data Preprocessing for des-knn and Its Application to Imbalanced Medical Data Classification. - Maciej Kinal; Michal Wozniak 001 (ACIIDS (1), 2020)

Employing Decision Templates to Imbalanced Data Classification. - Szymon Wojciechowski; Michal Wozniak 001 (HAIS, 2020)

Combination of Active and Random Labeling Strategy in the Non-stationary Data Stream Classification. - Pawel Zyblewski; Pawel Ksieniewicz; Michal Wozniak 001 (ICAISC (1), 2020)

Employing One-Class SVM Classifier Ensemble for Imbalanced Data Stream Classification. - Jakub Klikowski; Michal Wozniak 001 (ICCS (4), 2020)

Sentiment Analysis for Fake News Detection by Means of Neural Networks. - Sebastian Kula; Michal Choras; Rafal Kozik; Pawel Ksieniewicz; Michal Wozniak 001 (ICCS (4), 2020)

Performance Analysis of Binarization Strategies for Multi-class Imbalanced Data Classification. - Michal Zák; Michal Wozniak 001 (ICCS (4), 2020)

Dynamic Classifier Selection for Data with Skewed Class Distribution Using Imbalance Ratio and Euclidean Distance. - Pawel Zyblewski; Michal Wozniak 001 (ICCS (4), 2020)

Employing dropout regularization to classify recurring drifted data streams. - Filip Guzy; Michal Wozniak 001 (IJCNN, 2020)

Fake News Detection from Data Streams. - Pawel Ksieniewicz; Pawel Zyblewski; Michal Choras; Rafal Kozik; Agata Gielczyk; Michal Wozniak 001 (IJCNN, 2020)

Advanced Oversampling for Improved Detection of Software Anomalies in a Robot. - Nuño Basurto; Michal Wozniak 001; Carlos Cambra 001; Álvaro Herrero 001 (SOCO, 2020)

Training set selection and swarm intelligence for enhanced integration in multiple classifier systems. - Amgad M. Mohammed; Enrique Onieva; Michal Wozniak 001 (Appl. Soft Comput., 2020)

Special Issue SOCO 2017: New trends in soft computing and its application in industrial and environmental problems. - Francisco Herrera; Ajith Abraham; Michal Wozniak 001; Hilde Pérez 001; Emilio Corchado (Neurocomputing, 2020)

Combined Cleaning and Resampling algorithm for multi-class imbalanced data with label noise. - Michal Koziarski; Michal Wozniak 001; Bartosz Krawczyk (Knowl. Based Syst., 2020)

Special issue SOCO 2017: AI and ML applied to Health Sciences (MLHS). - Francisco Javier de Cos Juez; Michal Wozniak 001; Juan Albino Méndez; José Ramón Villar Flecha (Neural Comput. Appl., 2020)

Novel clustering-based pruning algorithms. - Pawel Zyblewski; Michal Wozniak 001 (Pattern Anal. Appl., 2020)

Computational Intelligence in Remote Sensing: An Editorial. - Manuel Graña; Michal Wozniak 001; Sebastián A. Ríos; Javier de Lope (Sensors, 2020)

Radial-Based Oversampling for Multiclass Imbalanced Data Classification. - Bartosz Krawczyk; Michal Koziarski; Michal Wozniak 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

Dynamic Ensemble Selection for Imbalanced Data Stream Classification with Limited Label Access. - Pawel Zyblewski; Michal Wozniak 001 (ICAISC (2), 2021)

Application of Multi-objective Optimization to Feature Selection for a Difficult Data Classification Task. - Joanna Grzyb; Mariusz Topolski; Michal Wozniak 001 (ICCS (3), 2021)

Transformer Based Models in Fake News Detection. - Sebastian Kula; Rafal Kozik; Michal Choras; Michal Wozniak 001 (ICCS (4), 2021)

Extracting Interpretable Decision Tree Ensemble from Random Forest. - Bogdan Gulowaty; Michal Wozniak 001 (IJCNN, 2021)

Evaluating and Explaining Generative Adversarial Networks for Continual Learning under Concept Drift. - Filip Guzy; Michal Wozniak 001; Bartosz Krawczyk (ICDM (Workshops), 2021)

3rd Workshop on Learning with Imbalanced Domains: Preface. - Nuno Moniz; Paula Branco; Luís Torgo; Nathalie Japkowicz; Michal Wozniak 001; Shuo Wang (LIDTA@ECML/PKDD, 2021)

Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study. - Michal Choras; Konstantinos P. Demestichas; Agata Gielczyk; Álvaro Herrero 001; Pawel Ksieniewicz; Konstantina Remoundou; Daniel Urda; Michal Wozniak 001 (Appl. Soft Comput., 2021)

Editorial: Applying Machine Learning for Combating Fake News and Internet/Media Content Manipulation. - Michal Choras; Konstantinos P. Demestichas; Álvaro Herrero 001; Michal Wozniak 001 (Appl. Soft Comput., 2021)

How to design the fair experimental classifier evaluation. - Katarzyna Stapor; Pawel Ksieniewicz; Salvador García 001; Michal Wozniak 001 (Appl. Soft Comput., 2021)

Hybrid Intelligent Model to Predict the Remifentanil Infusion Rate in Patients Under General Anesthesia. - 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 002; María Martín; José Antonio Reboso; Michal Wozniak 001; et al. (Log. J. IGPL, 2021)

Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams. - Pawel Zyblewski; Robert Sabourin; Michal Wozniak 001 (Inf. Fusion, 2021)

Hellinger Distance Weighted Ensemble for imbalanced data stream classification. - Joanna Grzyb; Jakub Klikowski; Michal Wozniak 001 (J. Comput. Sci., 2021)

RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification. - Michal Koziarski; Colin Bellinger; Michal Wozniak 001 (Mach. Learn., 2021)

Employing Generative Adversarial Network in COVID-19 Diagnosis. - Jakub Deren; Michal Wozniak 001 (ACIIDS (1), 2022)

Feature Integration Strategies for Multilingual Fake News Classification. - Jedrzej Kozal; Michal Les; Pawel Zyblewski; Pawel Ksieniewicz; Michal Wozniak 001 (IEEE Big Data, 2022)

Adapting K-Means Algorithm for Pair-Wise Constrained Clustering of Imbalanced Data Streams. - Szymon Wojciechowski; Germán González-Almagro; Salvador García 001; Michal Wozniak 001 (HAIS, 2022)

Employing Convolutional Neural Networks for Continual Learning. - Marcin Jasinski; Michal Wozniak 001 (ICAISC (1), 2022)

Search-based framework for transparent non-overlapping ensemble models. - Bogdan Gulowaty; Michal Wozniak 001 (IJCNN, 2022)

Automated identification of systematic performance changes in 5G networks by changepoint tracking. - Michal Panek; Ireneusz Jablonski; Michal Wozniak 001 (IJCNN, 2022)

Experimental Analysis on Dissimilarity Metrics and Sudden Concept Drift Detection. - Sebastián Basterrech; Jan Platos; Gerardo Rubino; Michal Wozniak 001 (ISDA (3), 2022)

Data complexity and classification accuracy correlation in oversampling algorithms. - Joanna Komorniczak; Pawel Ksieniewicz; Michal Wozniak 001 (LIDTA, 2022)

4th Workshop on Learning with Imbalanced Domains: Preface. - Nuno Moniz; Paula Branco; Luís Torgo; Nathalie Japkowicz; Michal Wozniak 001; Shuo Wang (LIDTA, 2022)

Tracking changes using Kullback-Leibler divergence for the continual learning. - Sebastián Basterrech; Michal Wozniak 001 (SMC, 2022)

Multicriteria Classifier Ensemble Learning for Imbalanced Data. - Weronika Wegier; Michal Koziarski; Michal Wozniak 001 (IEEE Access, 2022)

The double-edged sword of AI: Ethical Adversarial Attacks to counter artificial intelligence for crime. - Michal Choras; Michal Wozniak 001 (AI Ethics, 2022)

Deterministic Sampling Classifier with weighted Bagging for drifted imbalanced data stream classification. - Jakub Klikowski; Michal Wozniak 001 (Appl. Soft Comput., 2022)

Lifelong Learning Natural Language Processing Approach for Multilingual Data Classification. - Jedrzej Kozal; Michal Les; Pawel Zyblewski; Pawel Ksieniewicz; Michal Wozniak 001 (CoRR, 2022)

Selective ensemble of classifiers trained on selective samples. - Amgad M. Mohammed; Enrique Onieva; Michal Wozniak 001 (Neurocomputing, 2022)

How Machine Learning May Prevent the Breakdown of Democracy by Contributing to Fake News Detection. - Michal Choras; Aleksandra Pawlicka; Rafal Kozik; Michal Wozniak 001 (IT Prof., 2022)

Technical solution to counter potential crime: Text analysis to detect fake news and disinformation. - Rafal Kozik; Sebastian Kula; Michal Choras; Michal Wozniak 001 (J. Comput. Sci., 2022)

Employing chunk size adaptation to overcome concept drift. - Jedrzej Kozal; Filip Guzy; Michal Wozniak 001 (J. Univers. Comput. Sci., 2022)

Cybersecurity applications of computational intelligence. - Álvaro Herrero 001; Emilio Corchado; Michal Wozniak 001; Sung-Bae Cho; Slobodan Petrovic (Neural Comput. Appl., 2022)

An analysis of heuristic metrics for classifier ensemble pruning based on ordered aggregation. - Amgad M. Mohammed; Enrique Onieva; Michal Wozniak 001; Gonzalo Martínez-Muñoz (Pattern Recognit., 2022)

Analysis of the Possibility to Employ Relationship Between the Problem Complexity and the Classification Quality as Model Optimization Proxy. - Joanna Komorniczak; Pawel Ksieniewicz; Michal Wozniak 001 (CORES/IP&C, 2023)

A Continual Learning System with Self Domain Shift Adaptation for Fake News Detection. - Sebastián Basterrech; Andrzej Kasprzak; Jan Platos; Michal Wozniak 001 (DSAA, 2023)

Optimized hybrid imbalanced data sampling for decision tree training. - Weronika Wegier; Michal Koziarski; Michal Wozniak 001 (GECCO Companion, 2023)

Transfer of Knowledge Among Instruments in Automatic Music Transcription. - Michal Les; Michal Wozniak 001 (ICAISC (1), 2023)

DE-Forest - Optimized Decision Tree Ensemble. - Joanna Grzyb; Michal Wozniak 001 (ICCCI, 2023)

Combining Self-labeling with Selective Sampling. - Jedrzej Kozal; Michal Wozniak 001 (ICDM (Workshops), 2023)

Defending Network IDS against Adversarial Examples with Continual Learning. - Jedrzej Kozal; Justyna Zwolinska; Marek Klonowski; Michal Wozniak 001 (ICDM (Workshops), 2023)

MOOforest - Multi-objective Optimization to Form Decision Tree Ensemble. - Joanna Grzyb; Michal Wozniak 001 (PCC (2), 2023)

Increasing depth of neural networks for life-long learning. - Jedrzej Kozal; Michal Wozniak 001 (Inf. Fusion, 2023)

5G/5G+ network management employing AI-based continuous deployment. - Michal Panek; Adam Pomykala; Ireneusz Jablonski; Michal Wozniak 001 (Appl. Soft Comput., 2023)

Alphabet Flatting as a variant of n-gram feature extraction method in ensemble classification of fake news. - Pawel Ksieniewicz; Pawel Zyblewski; Weronika Borek-Marciniec; Rafal Kozik; Michal Choras; Michal Wozniak 001 (Eng. Appl. Artif. Intell., 2023)

SVM ensemble training for imbalanced data classification using multi-objective optimization techniques. - Joanna Grzyb; Michal Wozniak 001 (Appl. Intell., 2023)

Active Weighted Aging Ensemble for drifted data stream classification. - Michal Wozniak 001; Pawel Zyblewski; Pawel Ksieniewicz (Inf. Sci., 2023)

MOO-Points - Distance-based Method for Multi-objective Optimization in the Imbalanced Data Classification Task. - Weronika Borek-Marciniec; Michal Wozniak 001 (CISIM, 2024)

Continual Learning with Weight Interpolation. - Jedrzej Kozal; Jan Wasilewski; Bartosz Krawczyk; Michal Wozniak 001 (CVPR Workshops, 2024)

Non-stationary Imbalanced Data Stream Classification with Weighted One-Class Ensemble. - Jakub Klikowski; Michal Wozniak 001 (ICDM (Workshops), 2024)

Combining Active Learning and Self-Labeling for Deep Learning from Data Streams. - Jan Wasilewski; Michal Wozniak 001; Bartosz Krawczyk (ICDM (Workshops), 2024)

Changing Lineup Classifier Ensemble for Drifting Imbalanced Data Streams. - Weronika Wegier; Maciej Maczynski; Michal Wozniak 001 (ICDM (Workshops), 2024)

Modeling configuration-performance relation in a mobile network: a data-driven approach. - Michal Panek; Ireneusz Jablonski; Michal Wozniak 001 (PIMRC, 2024)

Editorial: Recent advances in image fusion and quality improvement for cyber-physical systems, volume II. - Xin Jin 005; Shin-Jye Lee; Michal Wozniak 001; Qian Jiang (Frontiers Neurorobotics, 2024)

A natural gas consumption forecasting system for continual learning scenarios based on Hoeffding trees with change point detection mechanism. - Radek Svoboda; Sebastián Basterrech; Jedrzej Kozal; Jan Platos; Michal Wozniak 001 (Knowl. Based Syst., 2024)

DMF-Net: A Dual Remote Sensing Image Fusion Network Based on Multiscale Convolutional Dense Connectivity With Performance Measure. - Huanyu Guo; Xin Jin 005; Qian Jiang; Michal Wozniak 001; Puming Wang; Shaowen Yao 001 (IEEE Trans. Instrum. Meas., 2024)

Local neighborhood encodings for imbalanced data classification. - Michal Koziarski; Michal Wozniak 001 (Mach. Learn., 2024)

Fβ-plot - a visual tool for evaluating imbalanced data classifiers. - Szymon Wojciechowski; Michal Wozniak 001 (CLD2, 2025)

SR_ColorNet: Multi-path attention aggregated and mask enhanced network for the super resolution and colorization of panchromatic image. - Qian Jiang; Qianqian Wang; Shengfa Miao; Xin Jin 005; Shin-Jye Lee; Michal Wozniak 001; Shaowen Yao 001 (Expert Syst. Appl., 2025)

Combining depth and frequency features with Mamba for multi-focus image fusion. - Xin Jin 005; Pengcheng Zhu; Dongjian Yu; Michal Wozniak 001; Qian Jiang; Puming Wang; Wei Zhou 011 (Inf. Fusion, 2025)

A pan-sharpening model using dual-branch attention-guided diffusion networks. - Huangqimei Zheng; Chengyi Pan; Xin Jin 005; Michal Wozniak 001; Puming Wang; Shin-Jye Lee; Qian Jiang (Inf. Fusion, 2025)

RTM-UAVDet: A Real-Time Multimodal UAV Detector. - Guorui Wang; Qian Jiang; Xin Jin 005; Michal Wozniak 001; Puming Wang; Shaowen Yao 001 (IEEE Trans. Aerosp. Electron. Syst., 2025)

Automatic Performance Assessment - Step Toward Autonomous Mobile Network Management Systems. - Michal Panek; Ireneusz Jablonski; Michal Wozniak 001 (IEEE Commun. Mag., 2025)

What is the role of memorization in Continual Learning? - Jedrzej Kozal; Jan Wasilewski; Alif Ashrafee; Bartosz Krawczyk; Michal Wozniak 001 (CoRR, 2025)

Holistic Continual Learning under Concept Drift with Adaptive Memory Realignment. - Alif Ashrafee; Jedrzej Kozal; Michal Wozniak 001; Bartosz Krawczyk (CoRR, 2025)

How to Protect Models against Adversarial Unlearning? - Patryk Jasiorski; Marek Klonowski; Michal Wozniak 001 (CoRR, 2025)