Employing chunk size adaptation to overcome concept drift

Kozal, Jędrzej and Guzy, Filip and Woźniak, Michał

JUCS - Journal of Universal Computer Science, 2022

How Machine Learning May Prevent the Breakdown of Democracy by Contributing to Fake News Detection

Choras, Michal and Pawlicka, Aleksandra and Kozik, Rafal and Wozniak, Michal

IT Professional, 2022

Technical solution to counter potential crime: Text analysis to detect fake news and disinformation

Kozik, Rafał and Kula, Sebastian and Choraś, Michał and Woźniak, Michał

Journal of Computational Science, 2022

Deterministic Sampling Classifier with weighted Bagging for drifted imbalanced data stream classification

Klikowski, Jakub and Woźniak, Michał

Applied Soft Computing, 2022
W ramach projektu IDSTREAM

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

Mohammed, Amgad M. and Onieva, Enrique and Woźniak, Michał and Martínez-Muñoz, Gonzalo

Pattern Recognition, 2022
W ramach projektu IDSTREAM

Selective ensemble of classifiers trained on selective samples

M. Mohammed, Amgad and Onieva, Enrique and Woźniak, Michał

Neurocomputing, 2022
W ramach projektu IDSTREAM

Author Correction: 53BP1 regulates heterochromatin through liquid phase separation

Zhang, Lei and Geng, Xinran and Wang, Fangfang and Tang, Jinshan and Ichida, Yu and Sharma, Arishya and Jin, Sora and Chen, Mingyue and Tang, Mingliang and Pozo, Franklin Mayca and Wang, Wenxiu and Wang, Janet and Wozniak, Michal and Guo, Xiaoxia and Miyagi, Masaru and Jin, Fulai and Xu, Yongjie and Yao, Xinsheng and Zhang, Youwei

Nature Communications, 2022

Application of Multi-objective Optimization to Feature Selection for a Difficult Data Classification Task

Grzyb, Joanna and Topolski, Mariusz and Woźniak, Michał

Lecture Notes in Computer Science, 2021

How to design the fair experimental classifier evaluation

Stapor, Katarzyna and Ksieniewicz, Paweł and García, Salvador and Woźniak, Michał

Applied Soft Computing, 2021
W ramach projektu IDSTREAM

Hellinger Distance Weighted Ensemble for imbalanced data stream classification

Grzyb, Joanna and Klikowski, Jakub and Woźniak, Michał

Journal of Computational Science, 2021
W ramach projektu IDSTREAM

Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams

Zyblewski, Paweł and Sabourin, Robert and Woźniak, Michał

Information Fusion, 2021

Transformer Based Models in Fake News Detection

Kula, Sebastian and Kozik, Rafał and Choraś, Michał and Woźniak, Michał

Lecture Notes in Computer Science, 2021

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

Guzy, Filip and Wozniak, Michal and Krawczyk, Bartosz

2021 International Conference on Data Mining Workshops (ICDMW), 2021

Extracting Interpretable Decision Tree Ensemble from Random Forest

Gulowaty, Bogdan and Wozniak, Michal

2021 International Joint Conference on Neural Networks (IJCNN), 2021
W ramach projektu IDSTREAM

Dynamic Ensemble Selection for Imbalanced Data Stream Classification with Limited Label Access

Zyblewski, Paweł and Woźniak, Michał

Lecture Notes in Computer Science, 2021

Editorial: Applying Machine Learning for Combating Fake News and Internet/Media Content Manipulation

Choraś, Michał and Demestichas, Konstantinos and Herrero, Álvaro and Woźniak, Michał

Applied Soft Computing, 2021

RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification

Koziarski, Michał and Bellinger, Colin and Woźniak, Michał

Machine Learning, 2021

RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification

Koziarski, Michal and Bellinger, Colin and Wozniak, Michal

2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA), 2021
W ramach projektu IDSTREAM

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

Choraś, Michał and Demestichas, Konstantinos and Giełczyk, Agata and Herrero, Álvaro and Ksieniewicz, Paweł and Remoundou, Konstantina and Urda, Daniel and Woźniak, Michał

Applied Soft Computing, 2021

Advanced Oversampling for Improved Detection of Software Anomalies in a Robot

Basurto, Nuño and Woźniak, Michał  and Cambra, Carlos and Herrero, Álvaro

15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020), 2020

Hybrid Intelligent Model to Predict the Remifentanil Infusion Rate in Patients Under General Anesthesia

Jove, Esteban and Gonzalez-Cava, Jose M and Casteleiro-Roca, José-Luis and Quintián, Héctor and Méndez Pérez, Juan Albino and Vega Vega, Rafael and Zayas-Gato, Francisco and de Cos Juez, Francisco Javier and León, Ana and MartÍn, María and et al.

Logic Journal of the IGPL, 2020

Computational Intelligence in Remote Sensing: An Editorial

Graña, Manuel and Wozniak, Michal and Rios, Sebastian and de Lope, Javier

Sensors, 2020

Combined Cleaning and Resampling algorithm for multi-class imbalanced data with label noise

Koziarski, Michał and Woźniak, Michał and Krawczyk, Bartosz

Knowledge-Based Systems, 2020

Employing dropout regularization to classify recurring drifted data streams

Guzy, Filip and Wozniak, Michal

2020 International Joint Conference on Neural Networks (IJCNN), 2020

Employing Decision Templates to Imbalanced Data Classification

Wojciechowski, Szymon and Woźniak, Michał

Hybrid Artificial Intelligent Systems, 2020
W ramach projektu IDSTREAM

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

Zyblewski, Paweł and Woźniak, Michał

Computational Science – ICCS 2020, 2020
W ramach projektu IDSTREAM

Data Preprocessing and Dynamic Ensemble Selection for Imbalanced Data Stream Classification

Zyblewski, Paweł and Sabourin, Robert and Woźniak, Michał

Communications in Computer and Information Science, 2020
W ramach projektu IDSTREAM

Data Preprocessing for des-knn and Its Application to Imbalanced Medical Data Classification

Kinal, Maciej and Woźniak, Michał

Lecture Notes in Computer Science, 2020
W ramach projektu IDSTREAM

Fake News Detection from Data Streams

Ksieniewicz, Pawel and Zyblewski, Pawel and Choras, Michal and Kozik, Rafal and Gielczyk, Agata and Wozniak, Michal

2020 International Joint Conference on Neural Networks (IJCNN), 2020

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

Żak, Michał and Woźniak, Michał

Computational Science – ICCS 2020, 2020

Sentiment Analysis for Fake News Detection by Means of Neural Networks

Kula, Sebastian and Choraś, Michał and Kozik, Rafał and Ksieniewicz, Paweł and Woźniak, Michał

Computational Science – ICCS 2020, 2020

Imbalanced Data Stream Classification Using Hybrid Data Preprocessing

Bobowska, Barbara and Klikowski, Jakub and Woźniak, Michał

Communications in Computer and Information Science, 2020
W ramach projektu IDSTREAM

Special Issue SOCO 2017: New trends in soft computing and its application in industrial and environmental problems

Herrera, Francisco and Abraham, Ajith and Woźniak, Michał and Pérez, Hilde and Corchado, Emilio

Neurocomputing, 2020

Novel clustering-based pruning algorithms

Zyblewski, Paweł and Woźniak, Michał

Pattern Analysis and Applications, 2020
W ramach projektu IDSTREAM

Training set selection and swarm intelligence for enhanced integration in multiple classifier systems

Mohammed, Amgad M. and Onieva, Enrique and Woźniak, Michał

Applied Soft Computing, 2020
W ramach projektu IDSTREAM

Combination of Active and Random Labeling Strategy in the Non-stationary Data Stream Classification

Zyblewski, Paweł and Ksieniewicz, Paweł and Woźniak, Michał

Lecture Notes in Computer Science, 2020
W ramach projektu IDSTREAM

Employing One-Class SVM Classifier Ensemble for Imbalanced Data Stream Classification

Klikowski, Jakub and Woźniak, Michał

Computational Science – ICCS 2020, 2020
W ramach projektu IDSTREAM

Radial-Based Oversampling for Multiclass Imbalanced Data Classification

Krawczyk, Bartosz and Koziarski, Michal and Wozniak, Michal

IEEE Transactions on Neural Networks and Learning Systems, 2020

Multi Sampling Random Subspace Ensemble for Imbalanced Data Stream Classification

Klikowski, Jakub and Woźniak, Michał

Progress in Computer Recognition Systems, 2019
W ramach projektu IDSTREAM

Imbalanced Data Classification Using Weighted Voting Ensemble

Lu, Lin and Woźniak, Michał

Advances in Intelligent Systems and Computing, 2019
W ramach projektu IDSTREAM

Special issue SOCO 2017: AI and ML applied to Health Sciences (MLHS)

de Cos, Francisco Javier and Woźniak, Michał and Méndez, Juan Albino and Villar Flecha, José R.

Neural Computing and Applications, 2019

Vertical and Horizontal Data Partitioning for Classifier Ensemble Learning

Mohammed, Amgad M. and Onieva, Enrique and Woźniak, Michał

Progress in Computer Recognition Systems, 2019

Active Learning by Clustering for Drifted Data Stream Classification

Zgraja, Jakub and Gama, João and Woźniak, Michał 

ECML PKDD 2018 Workshops, 2019

A Genetic-Based Ensemble Learning Applied to Imbalanced Data Classification

Klikowski, Jakub and Ksieniewicz, Paweł and Woźniak, Michał

Lecture Notes in Computer Science, 2019
W ramach projektu IDSTREAM

Machine Learning Methods for Fake News Classification

Ksieniewicz, Paweł and Choraś, Michał and Kozik, Rafał and Woźniak, Michał

Lecture Notes in Computer Science, 2019

Radial-Based oversampling for noisy imbalanced data classification

Koziarski, Michał and Krawczyk, Bartosz and Woźniak, Michał

Neurocomputing, 2019

Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble

Zyblewski, Paweł and Ksieniewicz, Paweł and Woźniak, Michał

Lecture Notes in Computer Science, 2019
W ramach projektu IDSTREAM

Clustering-Based Ensemble Pruning and Multistage Organization Using Diversity

Zyblewski, Paweł and Woźniak, Michał

Hybrid Artificial Intelligent Systems, 2019
W ramach projektu IDSTREAM

Special issue HAIS 2014: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems

Polycarpou, Marios and de Carvalho, André and Pan, Jeng-Shyang and Woźniak, Michal and Quintián, Héctor and Corchado, Emilio

Neurocomputing, 2019

Special issue on hybrid artificial intelligence systems from the HAIS 2017 conference – Editorial

Ascacíbar, Francisco Javier Martínez de Pisón and Herrera, Francisco and Abraham, Ajith and Wozniak, Michal and Corchado, Emilio

Neurocomputing, 2019

Monotonic classification: An overview on algorithms, performance measures and data sets

Cano, José-Ramón and Gutiérrez, Pedro Antonio and Krawczyk, Bartosz and Woźniak, Michał and García, Salvador

Neurocomputing, 2019

Data stream classification using active learned neural networks

Ksieniewicz, Paweł and Woźniak, Michał and Cyganek, Bogusław and Kasprzak, Andrzej and Walkowiak, Krzysztof

Neurocomputing, 2019

Adapting ClusTree for more challenging data stream environments

Zgraja, Jakub and Moulton, Richard Hugh and Gama, João and Kasprzak, Andrzej and Woźniak, Michał

Journal of Intelligent & Fuzzy Systems, 2019
W ramach projektu IDSTREAM

On the Role of Cost-Sensitive Learning in Imbalanced Data Oversampling

Krawczyk, Bartosz and Wozniak, Michal

Computational Science – ICCS 2019, 2019
W ramach projektu IDSTREAM

Combining active learning with concept drift detection for data stream mining

Krawczyk, Bartosz and Pfahringer, Bernhard and Wozniak, Michal

2018 IEEE International Conference on Big Data (Big Data), 2018

Experimental Study on Modified Radial-Based Oversampling

Bobowska, Barbara and Woźniak, Michał

International Joint Conference SOCO’18-CISIS’18-ICEUTE’18, 2018

Instance reduction for one-class classification

Krawczyk, Bartosz and Triguero, Isaac and García, Salvador and Woźniak, Michał and Herrera, Francisco

Knowledge and Information Systems, 2018

Leveraging Ensemble Pruning for Imbalanced Data Classification

Krawczyk, Bartosz and Wozniak, Michal

2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2018

Neural Models for Imputation of Missing Ozone Data in Air-Quality Datasets

Arroyo, Ángel and Herrero, Álvaro and Tricio, Verónica and Corchado, Emilio and Woźniak, Michał

Complexity, 2018

An Empirical Insight Into Concept Drift Detectors Ensemble Strategies

Lapinski, Andrzej and Krawczyk, Bartosz and Ksicnicwicz, Pawel and Wozniak, Michal

2018 IEEE Congress on Evolutionary Computation (CEC), 2018

Drifted Data Stream Clustering Based on ClusTree Algorithm

Zgraja, Jakub and Woźniak, Michał

Hybrid Artificial Intelligent Systems, 2018

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

Ksieniewicz, Paweł and Krawczyk, Bartosz and Woźniak, Michał

Neurocomputing, 2018

Imbalanced Data Classification Based on Feature Selection Techniques

Ksieniewicz, Paweł and Woźniak, Michał

Lecture Notes in Computer Science, 2018

Multi-class Imbalanced Data Oversampling for Vertebral Column Pathologies Classification

Sáez, José A. and Quintián, Héctor and Krawczyk, Bartosz and Woźniak, Michał and Corchado, Emilio

Hybrid Artificial Intelligent Systems, 2018

Selecting local ensembles for multi-class imbalanced data classification

Krawczyk, Bartosz and Cano, Alberto and Wozniak, Micha

2018 International Joint Conference on Neural Networks (IJCNN), 2018

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

Krawczyk, Bartosz and Galar, Mikel and Woźniak, Michał and Bustince, Humberto and Herrera, Francisco

Pattern Recognition, 2018

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

Wozniak, Michal

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

Distributed DBSCAN Algorithm – Concept and Experimental Evaluation

Merk, Adam and Cal, Piotr and Woźniak, Michał

Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, 2017

Online query by committee for active learning from drifting data streams

Krawczyk, Bartosz and Wozniak, Michal

2017 International Joint Conference on Neural Networks (IJCNN), 2017

A Tensor Framework for Data Stream Clustering and Compression

Cyganek, Bogusław and Woźniak, Michał

Lecture Notes in Computer Science, 2017

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

Koziarski, Michał and Wożniak, Michał

International Journal of Applied Mathematics and Computer Science, 2017

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

Cyganek, Bogusław and Woźniak, Michał

Lecture Notes in Computer Science, 2017

Ensemble learning for data stream analysis: A survey

Krawczyk, Bartosz and Minku, Leandro L. and Gama, João and Stefanowski, Jerzy and Woźniak, Michał

Information Fusion, 2017

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

Kowalski, Jerzy and Krawczyk, Bartosz and Woźniak, Michał

Engineering Applications of Artificial Intelligence, 2017

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

Ramirez-Gallego, Sergio and Krawczyk, Bartosz and Garcia, Salvador and Wozniak, Michal and Benitez, Jose Manuel and Herrera, Francisco

IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017

Radial-Based Approach to Imbalanced Data Oversampling

Koziarski, Michał and Krawczyk, Bartosz and Woźniak, Michał

Hybrid Artificial Intelligent Systems, 2017

Tensor-Based Shot Boundary Detection in Video Streams

Cyganek, Bogusław and Woźniak, Michał

New Generation Computing, 2017

The deterministic subspace method for constructing classifier ensembles

Koziarski, Michał and Krawczyk, Bartosz and Woźniak, Michał

Pattern Analysis and Applications, 2017

A survey on data preprocessing for data stream mining: Current status and future directions

Ramírez-Gallego, Sergio and Krawczyk, Bartosz and García, Salvador and Woźniak, Michał and Herrera, Francisco

Neurocomputing, 2017

On Efficient Computation of Tensor Subspace Kernels for Multi-dimensional Data

Cyganek, Bogusław and Woźniak, Michał

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2017

Paired feature multilayer ensemble – concept and evaluation of a classifier

Ksieniewicz, Paweł and Graña, Manuel and Woźniak, Michał

Journal of Intelligent & Fuzzy Systems, 2017

A First Attempt to Construct Effective Concept Drift Detector Ensembles

Woźniak, Michał and Ksieniewicz, Paweł and Kasprzak, Andrzej and Puchała, Karol and Ryba, Przemysław

Image Processing and Communications Challenges 8, 2016

Exploiting Data Parallelism for Efficient Classification of Multi-Dimensional Patterns

Cyganek, Boguslaw and Wozniak, Michal

2016 International Conference on Computational Science and Computational Intelligence (CSCI), 2016

A First Attempt on Online Data Stream Classifier Using Context

Woźniak, Michał and Cyganek, Bogusław

Lecture Notes in Computer Science, 2016

A Survey of Big Data Issues in Electronic Health Record Analysis

Cyganek, Bogusław and Graña, Manuel and Krawczyk, Bartosz and Kasprzak, Andrzej and Porwik, Piotr and Walkowiak, Krzysztof and Woźniak, Michał

Applied Artificial Intelligence, 2016

A new heuristic for influence maximization in social networks

Nuñez-Gonzalez, J. David and Ayerdi, Borja and Graña, Manuel and Wozniak, Michał

Logic Journal of IGPL, 2016

Active Learning Classifier for Streaming Data

Woźniak, Michał and Cyganek, Bogusław and Kasprzak, Andrzej and Ksieniewicz, Paweł and Walkowiak, Krzysztof

Hybrid Artificial Intelligent Systems, 2016

Active Learning Classification of Drifted Streaming Data

Woźniak, Michał and Ksieniewicz, Paweł and Cyganek, Bogusław and Kasprzak, Andrzej and Walkowiak, Krzysztof

Procedia Computer Science, 2016

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

Sáez, José A. and Krawczyk, Bartosz and Woźniak, Michał

Pattern Recognition, 2016

Artificial Photoreceptors for Ensemble Classification of Hyperspectral Images

Ksieniewicz, Pawel and Woźniak, Michał

Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2016

Dynamic classifier selection for one-class classification

Krawczyk, Bartosz and Woźniak, Michał

Knowledge-Based Systems, 2016

2016 Third European Network Intelligence Conference (ENIC), 2016

Efficient Multidimensional Pattern Recognition in Kernel Tensor Subspaces

Cyganek, Bogusław and Woźniak, Michał

Lecture Notes in Computer Science, 2016

Efficient Computation of the Tensor Chordal Kernels

Cyganek, Bogusław and Wozniak, Michal

Procedia Computer Science, 2016

Ensemble of HOSVD Generated Tensor Subspace Classifiers with Optimal Tensor Flattening Directions

Cyganek, Bogusław and Woźniak, Michał and Jankowski, Dariusz

Hybrid Artificial Intelligent Systems, 2016

Ensemble of One-Dimensional Classifiers for Hyperspectral Image Analysis

Ksieniewicz, Paweł and Krawczyk, Bartosz and Woźniak, Michał

Lecture Notes in Computer Science, 2016

Ensembles of Heterogeneous Concept Drift Detectors - Experimental Study

Woźniak, Michał and Ksieniewicz, Paweł and Cyganek, Bogusław and Walkowiak, Krzysztof

Lecture Notes in Computer Science, 2016

Forming Classifier Ensembles with Deterministic Feature Subspaces

Koziarski, Michał and Krawczyk, Bartosz and Woźniak, Michał

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

Hybrid Optimization Method Applied to Adaptive Splitting and Selection Algorithm

Lopez-Garcia, Pedro and Woźniak, Michał and Onieva, Enrique and Perallos, Asier

Hybrid Artificial Intelligent Systems, 2016

Intelligent Methods Applied to Health-Care Information Systems

Cyganek, Bogusław and Graña, Manuel and Porwik, Piotr and Woźniak, Michał

Applied Artificial Intelligence, 2016

Modelling Dental Milling Process with Machine Learning-Based Regression Algorithms

Jackowski, Konrad and Jankowski, Dariusz and Quintián, Héctor and Corchado, Emilio and Woźniak, Michał

Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2016

On Robust Computation of Tensor Classifiers Based on the Higher-Order Singular Value Decomposition

Cyganek, Bogusław and Woźniak, Michał

Software Engineering Perspectives and Application in Intelligent Systems, 2016

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

Sáez, José A. and Krawczyk, Bartosz and Woźniak, Michał

Applied Artificial Intelligence, 2016

Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015

Advances in Intelligent Systems and Computing, 2016

Recent advancements in hybrid artificial intelligence systems and its application to real-world problems

Corchado, Emilio and Abraham, Ajith and de Carvalho, André and Woźniak, Michał and Cho, Sung-Bae and Quintián, Héctor

Neurocomputing, 2016

Tackling label noise with multi-class decomposition using fuzzy one-class support vector machines

Krawczyk, Bartosz and Saez, Jose A. and Wozniak, Michal

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016

Untrained weighted classifier combination with embedded ensemble pruning

Krawczyk, Bartosz and Woźniak, Michał

Neurocomputing, 2016

Workshop on Nonstationary Models of Pattern Recognition and Classifier Combinations

Woźniak, Michał and Krawczyk, Bartosz

Procedia Computer Science, 2016

Weighted Naïve Bayes Classifier with Forgetting for Drifting Data Streams

Krawczyk, Bartosz and Wozniak, Michal

2015 IEEE International Conference on Systems, Man, and Cybernetics, 2015

A hybrid cost-sensitive ensemble for imbalanced breast thermogram classification

Krawczyk, Bartosz and Schaefer, Gerald and Woźniak, Michał

Artificial Intelligence in Medicine, 2015

Algorithms for calculation of candidate trees for efficient multicasting in elastic optical networks

Walkowiak, Krzysztof and Kasprzak, Andrzej and Wozniak, Michal

2015 17th International Conference on Transparent Optical Networks (ICTON), 2015

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

Cyganek, Bogusław and Woźniak, Michał

New Generation Computing, 2015

Blurred Labeling Segmentation Algorithm for Hyperspectral Images

Ksieniewicz, Paweł and Graña, Manuel and Woźniak, Michał

Lecture Notes in Computer Science, 2015

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

Krawczyk, Bartosz and Wozniak, Michal

2015 IEEE 2nd International Conference on Cybernetics (CYBCONF), 2015

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

Krawczyk, Bartosz and Woźniak, Michał

Lecture Notes in Computer Science, 2015

Data stream classification and big data analytics

Krawczyk, Bartosz and Stefanowski, Jerzy and Wozniak, Michał

Neurocomputing, 2015

Wagging for Combining Weighted One-class Support Vector Machines

Krawczyk, Bartosz and Woźniak, Michał

Procedia Computer Science, 2015

Editorial: Special issue HAIS12-IGPL

Quintian, H. and Corchado, E. and de Carvalho, A. and Abraham, A. and Wozniak, M. and Grana, M. and Cho, S.-B.

Logic Journal of IGPL, 2015

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

Krawczyk, Bartosz and Woźniak, Michał

Advances in Intelligent Systems and Computing, 2015

Hypertension Type Classification Using Hierarchical Ensemble of One-Class Classifiers for Imbalanced Data

Krawczyk, Bartosz and Woźniak, Michał

Advances in Intelligent Systems and Computing, 2015

Impact of Fanout and Transmission Reach on Performance of Multicasting in Elastic Optical Networks

Walkowiak, Krzysztof and Goścień, Róża and Tornatore, Massimo and Woźniak, Michał

Optical Fiber Communication Conference, 2015

Incremental One-Class Bagging for Streaming and Evolving Big Data

Krawczyk, Bartosz and Wozniak, Michal

2015 IEEE Trustcom/BigDataSE/ISPA, 2015

Incremental weighted one-class classifier for mining stationary data streams

Krawczyk, Bartosz and Woźniak, Michał

Journal of Computational Science, 2015

Joint optimization of multicast and unicast flows in elastic optical networks

Walkowiak, Krzysztof and Goscien, Roza and Wozniak, Michal and Klinkowski, Miroslaw

2015 IEEE International Conference on Communications (ICC), 2015

2015 IEEE Trustcom/BigDataSE/ISPA, 2015

Multidimensional data classification with chordal distance based kernel and Support Vector Machines

Cyganek, Bogusław and Krawczyk, Bartosz and Woźniak, Michał

Engineering Applications of Artificial Intelligence, 2015

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

Krawczyk, Bartosz and Woźniak, Michał and Herrera, Francisco

Pattern Recognition, 2015

Pruning Ensembles of One-Class Classifiers with X-means Clustering

Krawczyk, Bartosz and Woźniak, Michał

Lecture Notes in Computer Science, 2015

Pruning Ensembles with Cost Constraints

Krawczyk, Bartosz and Woźniak, Michał

Lecture Notes in Computer Science, 2015

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

Krawczyk, Bartosz and Wozniak, Michal

2015 IEEE 2nd International Conference on Cybernetics (CYBCONF), 2015

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

Cyganek, Boguslaw and Grana, Manuel and Kasprzak, Andrzej and Walkowiak, Krzysztof and Wozniak, Michal

2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2015

Special issue HAIS 2012: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems

Quintián, Héctor and Corchado, Emilio and Abraham, Ajith and de Carvalho, André C.P.L.F. and Wozniak, Michal and Snasel, Vaclav and Cho, Sung-Bae

Neurocomputing, 2015

Special issue on innovations in medicine and healthcare

Graña, Manuel and Sanchez, Eider and Wozniak, Michal

Biosystems Engineering, 2015

Tensor based representation and analysis of the electronic healthcare record data

Cyganek, Boguslaw and Wozniak, Michal

2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2015

A novel hyperspectral segmentation algorithm--concept and evaluation

Ksieniewicz, P. and Jankowski, D. and Ayerdi, B. and Jackowski, K. and Grana, M. and Wozniak, M.

Logic Journal of IGPL, 2014

Adaptive Splitting and Selection ensemble for breast cancer malignancy grading

Krawczyk, Bartosz and Jelen, Lukasz and Wozniak, Michal

2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE), 2014

One-class classifiers with incremental learning and forgetting for data streams with concept drift

Krawczyk, Bartosz and Woźniak, Michał

Soft Computing, 2014

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

Walkowiak, Krzysztof and Woźniak, Michał and Klinkowski, Mirosław and Kmiecik, Wojciech

International Journal of Parallel, Emergent and Distributed Systems, 2014

Weighted one-class classification for different types of minority class examples in imbalanced data

Krawczyk, Bartosz and Wozniak, Michal and Herrera, Francisco

2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 2014

A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification

Krawczyk, Bartosz and Triguero, Isaac and Garcia, Salvador and Wozniak, Michal and Herrera, Francisco

2014 IEEE Congress on Evolutionary Computation (CEC), 2014

A survey of multiple classifier systems as hybrid systems

Woźniak, Michał and Graña, Manuel and Corchado, Emilio

Information Fusion, 2014

Clustering-Based Ensemble of One-Class Classifiers for Hyperspectral Image Segmentation

Krawczyk, Bartosz and Woźniak, Michał and Cyganek, Bogusław

Hybrid Artificial Intelligence Systems, 2014

Clustering-based ensembles for one-class classification

Krawczyk, Bartosz and Woźniak, Michał and Cyganek, Bogusław

Information Sciences, 2014

Cost-sensitive decision tree ensembles for effective imbalanced classification

Krawczyk, Bartosz and Woźniak, Michał and Schaefer, Gerald

Applied Soft Computing, 2014

Data and Knowledge Hybridization

Woźniak, Michał

Studies in Computational Intelligence, 2014

Diversity measures for one-class classifier ensembles

Krawczyk, Bartosz and Woźniak, Michał

Neurocomputing, 2014

DIVERSITY-BASED CLASSIFIER SELECTION FOR BREAST CANCER CYTOLOGICAL IMAGE ANALYSIS

Krawczyk, Bartosz and Filipczuk, Paweł and Woźniak, Michał and Obuchowicz, Andrzej

Biomedical Engineering: Applications, Basis and Communications, 2014

Evolutionary Cost-Sensitive Ensemble for Malware Detection

Krawczyk, Bartosz and Woźniak, Michał

International Joint Conference SOCO’14-CISIS’14-ICEUTE’14, 2014

Experiments on simultaneous combination rule training and ensemble pruning algorithm

Krawczyk, Bartosz and Wozniak, Michał

2014 IEEE Symposium on Computational Intelligence in Ensemble Learning (CIEL), 2014

Guest Editorial: Hybrid intelligent fusion systems

Wozniak, Michal and Corchado, Emilio S. and Romay, Manuel Graña

Information Fusion, 2014

Conclusions

Woźniak, Michał

Studies in Computational Intelligence, 2014

Introduction

Woźniak, Michał

Studies in Computational Intelligence, 2014

Hybrid Classifiers

Wozniak, Michal

Studies in Computational Intelligence, 2014

Hyperspectral Image Analysis Based on Quad Tree Decomposition

Krawczyk, Bartosz and Ksieniewicz, Paweł and Woźniak, Michał

International Joint Conference SOCO’14-CISIS’14-ICEUTE’14, 2014

Hyperspectral Image Analysis Based on Color Channels and Ensemble Classifier

Krawczyk, Bartosz and Ksieniewicz, Paweł and Woźniak, Michał

Hybrid Artificial Intelligence Systems, 2014

IMPROVED ADAPTIVE SPLITTING AND SELECTION: THE HYBRID TRAINING METHOD OF A CLASSIFIER BASED ON A FEATURE SPACE PARTITIONING

JACKOWSKI, KONRAD and KRAWCZYK, BARTOSZ and WOŹNIAK, MICHAŁ

International Journal of Neural Systems, 2014

Influence of Distance Measures on the Effectiveness of One-Class Classification Ensembles

Krawczyk, Bartosz and Woźniak, Michał

Applied Artificial Intelligence, 2014

New untrained aggregation methods for classifier combination

Krawczyk, Bartosz and Wozniak, Michal

2014 International Joint Conference on Neural Networks (IJCNN), 2014

One-Class Classification Ensemble with Dynamic Classifier Selection

Krawczyk, Bartosz and Woźniak, Michał

Lecture Notes in Computer Science, 2014

Optimization Algorithms for One-Class Classification Ensemble Pruning

Krawczyk, Bartosz and Woźniak, Michał

Lecture Notes in Computer Science, 2014

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

Walkowiak, Krzysztof and Goscien, Roza and Klinkowski, Miroslaw and Wozniak, Michal

IEEE Communications Letters, 2014

Recent trends in intelligent data analysis

Corchado, Emilio and Woźniak, Michał and Abraham, Ajith and de Carvalho, André C.P.L.F. and Snášel, Václav

Neurocomputing, 2014

The Influence of a Classifiers’ Diversity on the Quality of Weighted Aging Ensemble

Woźniak, Michał and Cal, Piotr and Cyganek, Bogusław

Lecture Notes in Computer Science, 2014

Untrained Method for Ensemble Pruning and Weighted Combination

Krawczyk, Bartosz and Woźniak, Michał

Lecture Notes in Computer Science, 2014

Vehicle Logo Recognition with an Ensemble of Classifiers

Cyganek, Bogusław and Woźniak, Michał

Lecture Notes in Computer Science, 2014

Weighted One-Class Classifier Ensemble Based on Fuzzy Feature Space Partitioning

Krawczyk, Bartosz and Wozniak, Michal and Cyganek, Boguslaw

2014 22nd International Conference on Pattern Recognition, 2014

Chosen Applications of Hybrid Classifiers

Woźniak, Michał

Studies in Computational Intelligence, 2014

Classifier Hybridization

Woźniak, Michał

Studies in Computational Intelligence, 2014

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

Sobolewski, Piotr and Woźniak, Michał

Expert Systems, 2013

Neural Network Ensemble Based on Feature Selection for Non-Invasive Recognition of Liver Fibrosis Stage

Krawczyk, Bartosz and Woźniak, Michał and Orczyk, Tomasz and Porwik, Piotr and Musialik, Joanna and Błońska-Fajfrowska, Barbara

Soft Computing in Industrial Applications, 2013

A framework for image analysis and object recognition in industrial applications with the ensemble of classifiers

Cyganek, Boguslaw and Wozniak, Michal

2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA), 2013

Accuracy and diversity in classifier selection for one-class classification ensembles

Krawczyk, Bartosz and Wozniak, Michal

2013 IEEE Symposium on Computational Intelligence and Ensemble Learning (CIEL), 2013

Adaptive Splitting and Selection Method for Noninvasive Recognition of Liver Fibrosis Stage

Krawczyk, Bartosz and Woźniak, Michał and Orczyk, Tomasz and Porwik, Piotr

Lecture Notes in Computer Science, 2013

An evaluation of classifier ensembles for class imbalance problems

Krawczyk, Bartosz and Schaefer, Gerald and Wozniak, Michal

2013 International Conference on Informatics, Electronics and Vision (ICIEV), 2013

Analysis of Diversity Assurance Methods for Combined Classifiers

Krawczyk, Bartosz and Woźniak, Michał

Image Processing and Communications Challenges 4, 2013

Application of Combined Classifiers to Data Stream Classification

Woźniak, Michał

Lecture Notes in Computer Science, 2013

Automatic diagnosis of primary headaches by machine learning methods

Krawczyk, Bartosz and Simić, Dragan and Simić, Svetlana and Woźniak, Michał

Open Medicine, 2013

Classifier ensemble for an effective cytological image analysis

Filipczuk, Paweł and Krawczyk, Bartosz and Woźniak, Michał

Pattern Recognition Letters, 2013

Combined Bayesian Classifiers Applied to Spam Filtering Problem

Wrótniak, Karol and Woźniak, Michał

International Joint Conference CISIS’12-ICEUTE´12-SOCO´12 Special Sessions, 2013

Combined Classifiers with Neural Fuser for Spam Detection

Zmyślony, Marcin and Krawczyk, Bartosz and Woźniak, Michał

International Joint Conference CISIS’12-ICEUTE´12-SOCO´12 Special Sessions, 2013

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

Krawczyk, Bartosz and Schaefer, Gerald and Wozniak, Michal

2013 Fourth International Workshop on Computational Intelligence in Medical Imaging (CIMI), 2013

Comparable Study of Statistical Tests for Virtual Concept Drift Detection

Sobolewski, Piotr and Woźniak, Michał

Advances in Intelligent Systems and Computing, 2013

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

Krawczyk, Bartosz and Woźniak, Michał and Orczyk, Tomasz and Porwik, Piotr

Advances in Intelligent Systems and Computing, 2013

Data Preprocessing with GPU for DBSCAN Algorithm

Cal, Piotr and Woźniak, Michał

Advances in Intelligent Systems and Computing, 2013

Distributed Privacy-Preserving Minimal Distance Classification

Krawczyk, Bartosz and Woźniak, Michał

Hybrid Artificial Intelligent Systems, 2013

GUEST EDITORIAL: INTELLIGENT NETWORK SECURITY AND SURVIVABILITY

Walkowiak, Krzysztof and Woźniak, Michał

Cybernetics and Systems, 2013

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

Krawczyk, Bartosz and Woźniak, Michał

Advances in Intelligent Systems and Computing, 2013

LDCnet: Minimizing the cost of supervision for various types of concept drift

Sobolewski, Piotr and Wozniak, Michal

2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE), 2013

On diversity measures for fuzzy one-class classifier ensembles

Krawczyk, Bartosz and Wozniak, Michal

2013 IEEE Symposium on Computational Intelligence and Ensemble Learning (CIEL), 2013

Parallel Hoeffding Decision Tree for Streaming Data

Cal, Piotr and Woźniak, Michał

Advances in Intelligent Systems and Computing, 2013

Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013

Advances in Intelligent Systems and Computing, 2013

Pruning One-Class Classifier Ensembles by Combining Sphere Intersection and Consistency Measures

Krawczyk, Bartosz and Woźniak, Michał

Lecture Notes in Computer Science, 2013

Special issue on “Innovative knowledge based techniques in pattern recognition”

Graña, Manuel and Wozniak, Michal and Hatami, Nima

Pattern Recognition Letters, 2013

Special section on invited papers from NetCoM-2009

Rajasekaran, Sanguthevar and Wozniak, Michal

Future Generation Computer Systems, 2013

Weighed Aging Ensemble of Heterogenous Classifiers for Incremental Drift Classification

Woźniak, Michał and Cal, Piotr

Advances in Soft Computing and Its Applications, 2013

Intuitionistic Preference Relations

Xu, Zeshui

Studies in Fuzziness and Soft Computing, 2013

A cost-sensitive ensemble classifier for breast cancer classification

Krawczyk, Bartosz and Schaefer, Gerald and Wozniak, Michal

2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI), 2013

APPLICATION OF ADAPTIVE SPLITTING AND SELECTION CLASSIFIER TO THE SPAM FILTERING PROBLEM

Jackowski, Konrad and Krawczyk, Bartosz and Woźniak, Michał

Cybernetics and Systems, 2013

Enhancing Concept Drift Detection with Simulated Recurrence

Sobolewski, Piotr and Woźniak, Michał

New Trends in Databases and Information Systems, 2013

Adaptive Splitting and Selection Algorithm for Classification of Breast Cytology Images

Krawczyk, Bartosz and Filipczuk, Paweł and Woźniak, Michał

Lecture Notes in Computer Science, 2012

Breast thermogram analysis using a cost-sensitive multiple classifier system

Krawczyk, B. and Schaefer, G. and Wozniak, M.

Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012

Combined classifier based on feature space partitioning

Woźniak, Michał and Krawczyk, Bartosz

International Journal of Applied Mathematics and Computer Science, 2012

Combining Diverse One-Class Classifiers

Krawczyk, Bartosz and Woźniak, Michał

Hybrid Artificial Intelligent Systems, 2012

Comparison of Fuzzy Combiner Training Methods

Wilk, Tomasz and Woźniak, Michał

Lecture Notes in Computer Science, 2012

Cost-Sensitive Splitting and Selection Method for Medical Decision Support System

Jackowski, Konrad and Krawczyk, Bartosz and Woźniak, Michał

Lecture Notes in Computer Science, 2012

Data with Shifting Concept Classification Using Simulated Recurrence

Sobolewski, Piotr and Woźniak, Michał

Lecture Notes in Computer Science, 2012

Different decision tree induction strategies for a medical decision problem

Burduk, Robert and Wozniak, Michal

Open Medicine, 2012

Drift Detection and Model Selection Algorithms: Concept and Experimental Evaluation

Cal, Piotr and Woźniak, Michał

Hybrid Artificial Intelligent Systems, 2012

Editorial: New trends and applications on hybrid artificial intelligence systems

Corchado, Emilio and Graña, Manuel and Woźniak, MichaŁ

Neurocomputing, 2012

Performance Evaluation of Hybrid Implementation of Support Vector Machine

Gajewski, Konrad and Wozniak, Michal

Lecture Notes in Computer Science, 2012

Pixel-Based Object Detection and Tracking with Ensemble of Support Vector Machines and Extended Structural Tensor

Cyganek, Bogusław and Woźniak, Michał

Lecture Notes in Computer Science, 2012

Soft computing methods applied to combination of one-class classifiers

Wilk, Tomasz and Wozniak, Michal

Neurocomputing, 2012

Active learning approach to concept drift problem

Kurlej, B. and Wozniak, M.

Logic Journal of IGPL, 2011

Combining classifiers under probabilistic models: experimental comparative analysis of methods

Kurzynski, Marek and Wozniak, Michal

Expert Systems, 2011

Optimization of overlay distributed computing systems for multiple classifier system--heuristic approach

Kacprzak, T. and Walkowiak, K. and Wozniak, M.

Logic Journal of IGPL, 2011

Special Issue on Hybrid Artificial Intelligent Systems

Graña, Manuel and Corchado, Emilio and Wozniak, Michal

Journal of Mathematical Imaging and Vision, 2011

Special issue: HAIS 2010

Grana, M. and Corchado, E. and Wozniak, M.

Logic Journal of IGPL, 2011

Artificial Recurrence for Classification of Streaming Data with Concept Shift

Sobolewski, Piotr and Woźniak, Michał

Lecture Notes in Computer Science, 2011

Combining Classifier with a Fuser Implemented as a One Layer Perceptron

Wozniak, Michal and Zmyslony, Marcin

Lecture Notes in Computer Science, 2011

Advances in Computing and Information Technology

Communications in Computer and Information Science, 2011

Complexity and Multithreaded Implementation Analysis of One Class-Classifiers Fuzzy Combiner

Wilk, Tomasz and Woźniak, Michał

Hybrid Artificial Intelligent Systems, 2011

Decentralized Distributed Computing System for Privacy-Preserving Combined Classifiers – Modeling and Optimization

Walkowiak, Krzysztof and Sztajer, Szymon and Woźniak, Michał

Lecture Notes in Computer Science, 2011

Designing Cost-Sensitive Ensemble – Genetic Approach

Krawczyk, Bartosz and Woźniak, Michał

Image Processing and Communications Challenges 3, 2011

Learning Curve in Concept Drift While Using Active Learning Paradigm

Kurlej, Bartosz and Woźniak, Michał

Lecture Notes in Computer Science, 2011

Hybrid Artificial Intelligent Systems

Lecture Notes in Computer Science, 2011

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

Kajdanowicz, Tomasz and Wozniak, Michal and Kazienko, Przemyslaw

Lecture Notes in Computer Science, 2011

Privacy Preserving Models of k-NN Algorithm

Krawczyk, Bartosz and Wozniak, Michal

Advances in Intelligent and Soft Computing, 2011

Knowledge Source Confidence Measure Applied to a Rule-Based Recognition System

Wozniak, Michal

Lecture Notes in Computer Science, 2011

Hybrid Artificial Intelligence Systems

Lecture Notes in Computer Science, 2010

A hybrid decision tree training method using data streams

Wozniak, Michal

Knowledge and Information Systems, 2010

Editorial: Neuro-symbolic Algorithms and Models for Bio-inspired Systems

Corchado, E. and Wozniak, M.

Logic Journal of IGPL, 2010

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

Przewozniczek, M. and Walkowiak, K. and Wozniak, M.

Logic Journal of IGPL, 2010

Chosen problems of designing effective Multiple Classifier Systems

Wozniak, Michal and Zmyslony, Marcin

2010 International Conference on Computer Information Systems and Industrial Management Applications (CISIM), 2010

Combining pattern recognition algorithms chances and limits

Wozniak, Michal

2010 2nd International Conference on Computer Engineering and Technology, 2010

Computer recognition systems

Wozniak, Michal and Übeyli, Elif Derya

Expert Systems, 2010

Designing Fusers on the Basis of Discriminants – Evolutionary and Neural Methods of Training

Wozniak, Michal and Zmyslony, Marcin

Hybrid Artificial Intelligence Systems, 2010

Fusion Methods for the Two Class Recognition Problem – Analytical and Experimental Results

Woźniak, Michał and Zmyślony, Marcin

Image Processing and Communications Challenges 2, 2010

Medical Telemetry System for Monitoring and Localization of Patients - Functional Model and Algorithms for Biosignals Processing

Kurzyński, Marek and Ryba, Przemysław and Markowski, Marcin and Woźniak, Michał

International Journal of Electronics and Telecommunications, 2010

Method of classifier selection using the genetic approach

Jackowski, Konrad and Wozniak, Michal

Expert Systems, 2010

Simple combining classifiers for a special case of incremental concept drift problem

Kurlej, Bartosz and Sobolewski, Piotr and Wozniak, Michal

2010 10th International Conference on Intelligent Systems Design and Applications, 2010

Untrained Multiple Classifier System for designing security scanner for web applications

Sztajer, S and Wozniak, M

2010 Fifth International Conference on Information and Automation for Sustainability, 2010

Cost-sensitive methods of constructing hierarchical classifiers

Penar, Wojciech and Wozniak, Michal

Expert Systems, 2010

Designing combining classifier with trained fuser — Analytical and experimental evaluation

Wozniak, Michal and Zmyslony, Marcin

2010 10th International Conference on Intelligent Systems Design and Applications, 2010

GRASP Algorithm for Optimization of Grids for Multiple Classifier System

Kacprzak, Tomasz and Walkowiak, Krzysztof and Woźniak, Michał

Soft Computing Models in Industrial and Environmental Applications, 5th International Workshop (SOCO 2010), 2010

Bayes Multistage Classifier and Boosted C4.5 Algorithm in Acute Abdominal Pain Diagnosis

Burduk, Robert and Woźniak, Michał

Advances in Soft Computing, 2009

Multivariate Decision Trees vs. Univariate Ones

Koziol, Mariusz and Wozniak, Michal

Computer Recognition Systems 3, 2009

Adaptive Splitting and Selection Method of Classifier Ensemble Building

Jackowski, Konrad and Wozniak, Michal

Hybrid Artificial Intelligence Systems, 2009

Evolutionary approach to produce classifier ensemble based on weighted voting

Wozniak, Michal

2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), 2009

Modeling of Network Computing Systems for Decision Tree Induction Tasks

Walkowiak, Krzysztof and Woźniak, Michał

Lecture Notes in Computer Science, 2009

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

Woźniak, Michał

Lecture Notes in Computer Science, 2009

Some Remarks on Chosen Methods of Classifier Fusion Based on Weighted Voting

Wozniak, Michal and Jackowski, Konrad

Hybrid Artificial Intelligence Systems, 2009

Decision Tree Induction Methods for Distributed Environment

Walkowiak, Krzysztof and Woźniak, Michał

Advances in Soft Computing, 2009

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

Jackowski, Konrad and Wozniak, Michal

Pattern Analysis and Applications, 2008

Classifier Fusion Based on Weighted Voting - Analytical and Experimental Results

Wozniak, Michal

2008 Eighth International Conference on Intelligent Systems Design and Applications, 2008

Experiments with Boosted Decision Tree Classifiers

Wozniak, Michal

2008 Eighth International Conference on Intelligent Systems Design and Applications, 2008

Experiments on Classifiers Obtained Via Decision Tree Induction Methods with Different Attribute Acquisition Cost Limit

Penar, Wojciech and Wozniak, Michal

Computer Recognition Systems 2, 2007

Experiments with Trained and Untrained Fusers

Wozniak, Michal

Innovations in Hybrid Intelligent Systems, 2007

Proposition of common classifier construction for pattern recognition with context task

Wozniak, Michal

Knowledge-Based Systems, 2006

Two-Stage Classifier for Diagnosis of Hypertension Type

Wozniak, Michal

Lecture Notes in Computer Science, 2006

Boosted Decision Trees for Diagnosis Type of Hypertension

Wozniak, Michal

Lecture Notes in Computer Science, 2005

Markov Chains Pattern Recognition Approach Applied to the Medical Diagnosis Tasks

Wozniak, Michal

Lecture Notes in Computer Science, 2005

Some Propositions of Information Fusion for Pattern Recognition with Context Task

Wozniak, Michal

Lecture Notes in Computer Science, 2005

Three Classifiers for Acute Abdominal Pain Diagnosis – Comparative Study

Wozniak, Michal

Computational Science – ICCS 2005, 2005

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

Wozniak, Michal

Lecture Notes in Computer Science, 2004

Proposition of Boosting Algorithm for Probabilistic Decision Support System

Wozniak, Michal

Lecture Notes in Computer Science, 2004

Application of the Confidence Measure in Knowledge Acquisition Process

Wozniak, Michal

Computational Science — ICCS 2003, 2003

Case- and Rule-Based Algorithms for the Contextual Pattern Recognition Problem

Wozniak, Michal

Lecture Notes in Computer Science, 2003

Concept of the Knowledge Quality Management for Rule-Based Decision System

Wozniak, Michal

Intelligent Information Processing and Web Mining, 2003

Rule-based algorithms with learning for sequential recognition problem

Kurzynski, M. and Wozniak, M.

Proceedings of the Third International Conference on Information Fusion, 2000

Diagnosis of human acid-base balance states via combined pattern recognition for Markov chains

Kurzynski, Marek and Wozniak, Michal and Blinowska, Alexandra

Lecture Notes in Computer Science, 1995

Strategic redirection via technology commercialization: Preliminary results from defense and space contractors

Adams, Mel and Spann, Mary S.

The Journal of High Technology Management Research, 1995