prof. dr hab. inż. Michał Woźniak

prof. dr hab. inż.

Michał Woźniak

Kierownik katedry

Zespół Uczenia Maszynowego

Zainteresowania badawcze

Machine Learning

Pattern Recognition

Classifier Ensemble

Data Stream Mining

Prowadzi w tym semestrze

Seminarium dyplomowe

Consultation hours: Wednesday 9a.m.-11p.m. (please email me earlier)

Chair of the Department of Systems and Computer Networks
Chair of the Scientific Council of Information and Communication Technology (Wroclaw University of Science and Technology)
Member of the Scientific Council of the Institute of Computer Science PAS
Member of the Committee on Informatics of the Polish Academy of Sciences

Fields of interest

machine learning,
data stream mining,
data stream classification, concept drift,
ensemble learning, classifier ensemble
inductive learning, data and web mining,
learning on distributed and streaming data
pattern classification,
imabalanced data classification,
pattern recognition with context
telemedicine and medical decision support

Google Scholar profile
ORCID
ResearchGate profile
ResearchID profile
List of publication in DONA database - maintained by my University

New publications

Michał Koziarski, Colin Bellinger, Michał Woźniak, RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification, Machine Learning (ACCEPTED)
Katarzyna Stąpor, Paweł Ksieniewicz, Salvador Garcia, Michał Woźniak, How to design the fair experimental classifier evaluation Applied Soft Computing, Volume 104, June 2021, 107219 FREE ACCESS BY April,27.
Joanna Grzyb, Jakub Klikowski, Hellinger Distance Weighted Ensemble for Imbalanced Data Stream Classification, Journal of Computational Science, Volume 51, April 2021, 101314 (free access by April 03, 2021) arxiv
Michał Choraś, Konstantinos Demestichas, Agata Giełczyk, Álvaro Herrero, Paweł Ksieniewicz, Konstantina Remoundou, Daniel Urda, Michał Woźniak, Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study, Applied Soft Computing, Volume 101, March 2021, 107050. arxiv
Paweł Zyblewski, Robert Sambourin, Michał Woźniak, Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams, Information Fusion, Volume 66, February 2021, Pages 138-154.

MSc thesis topics

Fake news detection.
Video/image manipulation discovery.
Explainable AI/ML.
Data stream classification.
Learning from imabalanced data.

Rozkład zajęć

Środa
Seminarium dyplomowe C-4: 33 | 13.15—15.00
Seminarium dyplomowe C-4: 33 | 15.15—16.55

A survey on data preprocessing for data stream mining: Current status and future directions [2017]

Bartosz Krawczyk, Michał Woźniak, Gerald Schaefer

238 cytowań

Cost-sensitive decision tree ensembles for effective imbalanced classification [2014]

José A Sáez, Bartosz Krawczyk, Michał Woźniak

143 cytowań

Analyzing the oversampling of different classes and types of examples in multi-class imbalanced datasets [2016]

[2014] Bartosz Krawczyk, Michał Woźniak, Bogusław Cyganek, Clustering-based ensembles for one-class classification 117 cytowań

[2014] Bartosz Krawczyk, Michał Woźniak, Diversity measures for one-class classifier ensembles 77 cytowań

[2012] Tomasz Wilk, Michal Wozniak, Soft computing methods applied to combination of one-class classifiers 77 cytowań

[2015] Bartosz Krawczyk, Michał Woźniak, One-class classifiers with incremental learning and forgetting for data streams with concept drift 73 cytowań

[2011] Emilio Corchado, Manuel Graña, Michal Wozniak, Editorial: New trends and applications on hybrid artificial intelligence systems 70 cytowań

[2013] Michal Wozniak, Hybrid classifiers: methods of data, knowledge, and classifier combination 65 cytowań

[2010] Michal Wozniak, A hybrid decision tree training method using data streams 64 cytowań

[2012] Michał Woźniak, Bartosz Krawczyk, Combined classifier based on feature space partitioning 59 cytowań

[2014] Krzysztof Walkowiak, Róża Goścień, Mirosław Klinkowski, Michał Woźniak, Optimization of multicast traffic in elastic optical networks with distance-adaptive transmission 58 cytowań

[2015] Bartosz Krawczyk, Michał Woźniak, Francisco Herrera, On the usefulness of one-class classifier ensembles for decomposition of multi-class problems 55 cytowań

[2017] Sergio Ramírez-Gallego, Bartosz Krawczyk, Salvador García, Michał Woźniak, José Manuel Benítez, Francisco Herrera, Nearest neighbor classification for high-speed big data streams using spark 54 cytowań

[2014] Konrad Jackowski, Bartosz Krawczyk, Michał Woźniak, Improved adaptive splitting and selection: the hybrid training method of a classifier based on a feature space partitioning 52 cytowań

[2009] Michal Wozniak, Konrad Jackowski, Some remarks on chosen methods of classifier fusion based on weighted voting 48 cytowań

[2009] Konrad Jackowski, Michal Wozniak, Algorithm of designing compound recognition system on the basis of combining classifiers with simultaneous splitting feature space into competence areas 46 cytowań

[2013] Piotr Sobolewski, Michał Woźniak, Concept Drift Detection and Model Selection with Simulated Recurrence and Ensembles of Statistical Detectors 44 cytowań

[2019] Michał Koziarski, Bartosz Krawczyk, Michał Woźniak, Radial-Based oversampling for noisy imbalanced data classification 43 cytowań

[2010] Michal Wozniak, Marcin Zmyslony, Designing fusers on the basis of discriminants–evolutionary and neural methods of training 38 cytowań

[2018] Bartosz Krawczyk, Mikel Galar, Michał Woźniak, Humberto Bustince, Francisco Herrera, Dynamic ensemble selection for multi-class classification with one-class classifiers 37 cytowań

[2015] Bartosz Krawczyk, Gerald Schaefer, Michał Woźniak, A hybrid cost-sensitive ensemble for imbalanced breast thermogram classification 37 cytowań

[2013] Bartosz Krawczyk, Dragan Simić, Svetlana Simić, Michał Woźniak, Automatic diagnosis of primary headaches by machine learning methods 37 cytowań

[2011] Bartosz Kurlej, Michal Wozniak, Active learning approach to concept drift problem 35 cytowań

[2017] Jerzy Kowalski, Bartosz Krawczyk, Michał Woźniak, Fault diagnosis of marine 4-stroke diesel engines using a one-vs-one extreme learning ensemble 33 cytowań

[2017] Michał Koziarski, Michał Wożniak, CCR: A combined cleaning and resampling algorithm for imbalanced data classification 31 cytowań

[2015] Bogusław Cyganek, Bartosz Krawczyk, Michał Woźniak, Multidimensional data classification with chordal distance based kernel and support vector machines 31 cytowań

[2019] José-Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michał Woźniak, Salvador García, Monotonic classification: An overview on algorithms, performance measures and data sets 28 cytowań

[2016] Bartosz Krawczyk, Michał Woźniak, Dynamic classifier selection for one-class classification 28 cytowań

[2012] Bartosz Krawczyk, Michał Woźniak, Combining diverse one-class classifiers 28 cytowań

[2014] Bartosz Krawczyk, Michał Woźniak, Francisco Herrera, Weighted one-class classification for different types of minority class examples in imbalanced data 27 cytowań

[2011] Michal Przewozniczek, Krzysztof Walkowiak, Michal Wozniak, Optimizing distributed computing systems for k-nearest neighbours classifiers—evolutionary approach 27 cytowań

[2010] M Wozniak, M Zmyslony, Designing combining classifier with trained fuser—analytical and experimental evaluation 27 cytowań

[2010] Konrad Jackowski, Michal Wozniak, Method of classifier selection using the genetic approach 27 cytowań

[2016] Bogusław Cyganek, Manuel Graña, Bartosz Krawczyk, Andrzej Kasprzak, Piotr Porwik, Krzysztof Walkowiak, Michał Woźniak, A survey of big data issues in electronic health record analysis 26 cytowań

[2008] Michal Wozniak, Experiments on linear combiners 25 cytowań

[2010] Michal Wozniak, Marcin Zmyslony, Combining classifiers using trained fuser—analytical and experimental results 24 cytowań

[2016] Bartosz Krawczyk, Michał Woźniak, Untrained weighted classifier combination with embedded ensemble pruning 23 cytowań

[2013] Michał Woźniak, Application of combined classifiers to data stream classification 23 cytowań

[2019] Bartosz Krawczyk, Michał Koziarski, Michał Woźniak, Radial-based oversampling for multiclass imbalanced data classification 22 cytowań

[2016] José A Sáez, Bartosz Krawczyk, Michał Woźniak, On the influence of class noise in medical data classification: Treatment using noise filtering methods 21 cytowań

[2015] Bartosz Krawczyk, Jerzy Stefanowski, Michał Wozniak, Data stream classification and big data analytics 21 cytowań

[2011] Tomasz Wilk, Michał Woźniak, Complexity and multithreaded implementation analysis of one class-classifiers fuzzy combiner 20 cytowań

[2019] Paweł Ksieniewicz, Michał Woźniak, Bogusław Cyganek, Andrzej Kasprzak, Krzysztof Walkowiak, Data stream classification using active learned neural networks 18 cytowań

[2018] Paweł Ksieniewicz, Bartosz Krawczyk, Michał Woźniak, Ensemble of Extreme Learning Machines with trained classifier combination and statistical features for hyperspectral data 18 cytowań

[2017] Bogusław Cyganek, Michał Woźniak, Tensor-based shot boundary detection in video streams 18 cytowań

[2015] Bartosz Krawczyk, Michał Woźniak, Cost-sensitive neural network with roc-based moving threshold for imbalanced classification 18 cytowań

[2012] Bartosz Krawczyk, Michał Woźniak, Experiments on distance measures for combining one-class classifiers 18 cytowań

[2011] Bartosz Krawczyk, Michał Woźniak, Designing Cost-Sensitive Ensemble–Genetic Approach 18 cytowań

[2019] Paweł Zyblewski, Paweł Ksieniewicz, Michał Woźniak, Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble 17 cytowań

[2015] Bartosz Krawczyk, Michał Woźniak, Incremental weighted one-class classifier for mining stationary data streams 17 cytowań

[2013] Paweł Filipczuk, Bartosz Krawczyk, Michał Woźniak, Classifier ensemble for an effective cytological image analysis 17 cytowań

[2020] Michał Koziarski, Michał Woźniak, Bartosz Krawczyk, Combined Cleaning and Resampling Algorithm for Multi-Class Imbalanced Data with Label Noise 16 cytowań

[2019] Bartosz Krawczyk, Isaac Triguero, Salvador García, Michał Woźniak, Francisco Herrera, Instance reduction for one-class classification 16 cytowań

[2013] Bartosz Krawczyk, Michał Woźniak, Incremental learning and forgetting in one-class classifiers for data streams 16 cytowań

[2012] Konrad Jackowski, Bartosz Krawczyk, Michał Woźniak, Cost-sensitive splitting and selection method for medical decision support system 16 cytowań

[2012] Emilio Corchado, Vaclav Snasel, Ajith Abraham, Michał Woźniak, Manuel Grana, Sung-Bae Cho, Hybrid Artificial Intelligent Systems 16 cytowań

[2007] Michal Wozniak, Experiments with trained and untrained fusers 16 cytowań

[2016] Michał Woźniak, Paweł Ksieniewicz, Bogusław Cyganek, Andrzej Kasprzak, Krzysztof Walkowiak, Active learning classification of drifted streaming data 15 cytowań

[2013] Bartosz Krawczyk, Gerald Schaefer, Michal Wozniak, Combining one-class classifiers for imbalanced classification of breast thermogram features 15 cytowań

[2012] Bartosz Krawczyk, Gerald Schaefer, Michal Wozniak, Breast thermogram analysis using a cost-sensitive multiple classifier system 15 cytowań

[2012] Marek Kurzynski, Michal Wozniak, Combining classifiers under probabilistic models: experimental comparative analysis of methods 15 cytowań

[2011] Tomasz Kacprzak, Krzysztof Walkowiak, Michal Wozniak, Optimization of overlay distributed computing systems for multiple classifier system—heuristic approach 15 cytowań

[2011] Bartosz Krawczyk, Michal Wozniak, Gerald Schaefer, Improving minority class prediction using cost-sensitive ensembles 15 cytowań

[2016] Michał Woźniak, Paweł Ksieniewicz, Bogusław Cyganek, Krzysztof Walkowiak, Ensembles of heterogeneous concept drift detectors-experimental study 14 cytowań

[2006] Michal Wozniak, Proposition of common classifier construction for pattern recognition with context task 14 cytowań

[2017] Michał Koziarski, Bartosz Krawczyk, Michał Woźniak, Radial-based approach to imbalanced data oversampling 13 cytowań

[2015] Bartosz Krawczyk, Michal Wozniak, Weighted Na?? ve Bayes Classifier with Forgetting for Drifting Data Streams 13 cytowań

[2015] Krzysztof Walkowiak, Róża Goścień, Michał Woźniak, Mirosław Klinkowski, Joint optimization of multicast and unicast flows in elastic optical networks 13 cytowań

[2012] Robert Burduk, Michal Wozniak, Different decision tree induction strategies for a medical decision problem 13 cytowań

[2010] Wojciech Penar, Michal Wozniak, Cost‐sensitive methods of constructing hierarchical classifiers 13 cytowań

[2006] Michal Wozniak, Two-stage classifier for diagnosis of hypertension type 13 cytowań

[2000] Marek Kurzynski, Michal Wozniak, Rule-based algorithms with learning for sequential recognition problem 13 cytowań

[2018] Ángel Arroyo, Álvaro Herrero, Verónica Tricio, Emilio Corchado, Michał Woźniak, Neural models for imputation of missing ozone data in air-quality datasets 12 cytowań

[2015] Krzysztof Walkowiak, Michał Woźniak, Mirosław Klinkowski, Wojciech Kmiecik, Optical networks for cost-efficient and scalable provisioning of big data traffic 12 cytowań

[2013] Michał Woźniak, Andrzej Kasprzak, Piotr Cal, Weighted aging classifier ensemble for the incremental drifted data streams 12 cytowań

[2013] Piotr Sobolewski, Michał Woźniak, Comparable study of statistical tests for virtual concept drift detection 12 cytowań

[2004] Michal Wozniak, Proposition of boosting algorithm for probabilistic decision support system 12 cytowań

[2015] Bartosz Krawczyk, Michał Woźniak, Reacting to different types of concept drift with adaptive and incremental one-class classifiers 11 cytowań

[2015] Bartosz Krawczyk, Michał Woźniak, Wagging for combining weighted one-class support vector machines 11 cytowań

[2014] Bartosz Krawczyk, Michał Woźniak, Hypertension type classification using hierarchical ensemble of one-class classifiers for imbalanced data 11 cytowań

[2014] Bogusław Cyganek, Michał Woźniak, Vehicle logo recognition with an ensemble of classifiers 11 cytowań

[2011] Bartosz Kurlej, Michał Woźniak, Learning curve in concept drift while using active learning paradigm 11 cytowań

[2010] Emilio Corchado, Hybrid Artificial Intelligent Systems, Part II: 5th International Conference, HAIS 2010, San Sebastian, Spain, June 23-25, 2010, Proceedings 11 cytowań

[2010] Emilio Corchado, Hybrid Artificial Intelligent Systems, Part II: 5th International Conference, HAIS 2010, San Sebastian, Spain, June 23-25, 2010, Proceedings 11 cytowań

[2009] Michal Wozniak, Evolutionary approach to produce classifier ensemble based on weighted voting 11 cytowań

[2019] Pawel Ksieniewicz, Michal Choras, Rafal Kozik, Wozniak Michal, Machine Learning Methods for Fake News Classification 10 cytowań

[2018] Bartosz Krawczyk, Bernhard Pfahringer, Michał Woźniak, Combining active learning with concept drift detection for data stream mining 10 cytowań

[2016] Bogusław Cyganek, Michał Woźniak, On robust computation of tensor classifiers based on the higher-order singular value decomposition 10 cytowań

[2013] Bartosz Krawczyk, Gerald Schaefer, Michał Woźniak, A cost-sensitive ensemble classifier for breast cancer classification 10 cytowań

[2021] Pawel Zyblewski, Robert Sabourin, Michal Wozniak, Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams 9 cytowań

[2018] Paweł Ksieniewicz, Michał Woźniak, Imbalanced data classification based on feature selection techniques 9 cytowań

[2017] Piotr Sobolewski, Michał Woźniak, SCR: simulated concept recurrence–a non‐supervised tool for dealing with shifting concept 9 cytowań

[2015] Krzysztof Walkowiak, Andrzej Kasprzak, Michał Woźniak, Algorithms for calculation of candidate trees for efficient multicasting in elastic optical networks 9 cytowań

[2015] Krzysztof Walkowiak, Róża Goścień, Massimo Tornatore, Michał Woźniak, Impact of fanout and transmission reach on performance of multicasting in elastic optical networks 9 cytowań

[2013] Marcin Zmyślony, Bartosz Krawczyk, Michał Woźniak, Combined classifiers with neural fuser for spam detection 9 cytowań

[2010] Emilio Corchado, Manuel Graňa, Václav Snášel, Michal Wozniak, Hybrid Artificial Intelligence Systems 9 cytowań

[2009] Emilio Corchado, Xindong Wu, Erkki Oja, Bruno Baruque, Hybrid Artificial Intelligence Systems: 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009, Proceedings 9 cytowań

[2009] Emilio Corchado, Xindong Wu, Erkki Oja, Bruno Baruque, Hybrid Artificial Intelligence Systems: 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009, Proceedings 9 cytowań

[2020] Sebastian Kula, Michał Choraś, Rafał Kozik, Paweł Ksieniewicz, Michał Woźniak, Sentiment analysis for fake news detection by means of neural networks 8 cytowań

[2017] Michał Koziarski, Bartosz Krawczyk, Michał Woźniak, The deterministic subspace method for constructing classifier ensembles 8 cytowań

[2013] Bartosz Krawczyk, Michał Woźniak, Accuracy and diversity in classifier selection for one-class classification ensembles 8 cytowań

[2007] Wojciech Penar, Michal Wozniak, Experiments on classifiers obtained via decision tree induction methods with different attribute acquisition cost limit 8 cytowań

[2005] Michal Wozniak, Boosted decision trees for diagnosis type of hypertension 8 cytowań

[2017] Paweł Ksieniewicz, Michał Woźniak, Dealing with the task of imbalanced, multidimensional data classification using ensembles of exposers 7 cytowań

[2017] Bartosz Krawczyk, Michał Woźniak, Online query by committee for active learning from drifting data streams 7 cytowań

[2015] Bogusław Cyganek, Michał Woźniak, An improved vehicle logo recognition using a classifier ensemble based on pattern tensor representation and decomposition 7 cytowań

[2014] Bartosz Krawczyk, Paweł Ksieniewicz, Michał Woźniak, Hyperspectral image analysis based on color channels and ensemble classifier 7 cytowań

[2014] Bartosz Krawczyk, Michał Woźniak, Evolutionary cost-sensitive ensemble for malware detection 7 cytowań

[2012] Bartosz Krawczyk, Michał Woźniak, Tomasz Orczyk, Piotr Porwik, Joanna Musialik, Barbara Błońska-Fajfrowska, Classification techniques for non-invasive recognition of liver fibrosis stage 7 cytowań

[2011] Emilio Corchado, Marek Kurzynski, Michal Wozniak, Hybrid artificial intelligent systems: 6th international conference, HAIS 2011, Wroclaw, Poland, may 23-25, 2011, proceedings, Part I 7 cytowań

[2011] David C Wyld, Michal Wozniak, Nabendu Chaki, Natarajan Meghanathan, Dhinaharan Nagamalai, Advances in Computing and Information Technology 7 cytowań

[2008] Michal Wozniak, Classifier Fusion Based on Weighted Voting-Analytical and Experimental Results 7 cytowań

[2018] Bartosz Krawczyk, Alberto Cano, Micha Woźniak, Selecting local ensembles for multi-class imbalanced data classification 6 cytowań

[2018] Barbara Bobowska, Michal Choras, Michal Wozniak, Advanced Analysis of Data Streams for Critical Infrastructures Protection and Cybersecurity. 6 cytowań

[2016] Michał Woźniak, Bogusław Cyganek, Andrzej Kasprzak, Paweł Ksieniewicz, Krzysztof Walkowiak, Active learning classifier for streaming data 6 cytowań

[2014] Bartosz Krawczyk, Isaac Triguero, Salvador García, Michał Woźniak, Francisco Herrera, A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification 6 cytowań

[2014] Michał Woźniak, Piotr Cal, Bogusław Cyganek, The influence of a classifiers’ diversity on the quality of weighted aging ensemble 6 cytowań

[2013] Konrad Jackowski, Bartosz Krawczyk, Michał Woźniak, Application of adaptive splitting and selection classifier to the spam filtering problem 6 cytowań

[2012] Bartosz Krawczyk, Paweł Filipczuk, Michał Woźniak, Adaptive splitting and selection algorithm for classification of breast cytology images 6 cytowań

[2011] Krzysztof Walkowiak, Szymon Sztajer, Michał Woźniak, Decentralized Distributed Computing System for Privacy-Preserving Combined Classifiers–Modeling and Optimization 6 cytowań

[2010] Tomasz Kacprzak, Krzysztof Walkowiak, Michał Woźniak, GRASP algorithm for optimization of grids for multiple classifier system 6 cytowań

[2020] Filip Guzy, Michał Woźniak, Employing dropout regularization to classify recurring drifted data streams 5 cytowań

[2019] Jakub Klikowski, Michał Woźniak, Multi sampling random subspace ensemble for imbalanced data stream classification 5 cytowań

[2016] J David Nuñez-Gonzalez, Borja Ayerdi, Manuel Graña, Michał Wozniak, A new heuristic for influence maximization in social networks 5 cytowań

[2016] Bartosz Krawczyk, José A Sáez, Michał Woźniak, Tackling label noise with multi-class decomposition using fuzzy one-class support vector machines 5 cytowań

[2015] Bogusław Cyganek, Michał Woźniak, Tensor based representation and analysis of the electronic healthcare record data 5 cytowań

[2014] Bartosz Krawczyk, Michał Woźniak, Influence of distance measures on the effectiveness of one-class classification ensembles 5 cytowań

[2013] Piotr Cal, Michał Woźniak, Data preprocessing with GPU for DBSCAN algorithm 5 cytowań

[2013] Karol Wrótniak, Michał Woźniak, Combined bayesian classifiers applied to spam filtering problem 5 cytowań

[2011] David C Wyld, Michal Wozniak, Nabendu Chaki, Natarajan Meghanathan, Dhinaharan Nagamalai, Trends in Network and Communications: International Conferences, NeCOM 2011, WeST 2011, and WiMON 2011, Chennai, India, July 15-17, 2011, Proceedings 5 cytowań

[2011] David C Wyld, Michal Wozniak, Nabendu Chaki, Natarajan Meghanathan, Dhinaharan Nagamalai, Trends in Network and Communications: International Conferences, NeCOM 2011, WeST 2011, and WiMON 2011, Chennai, India, July 15-17, 2011, Proceedings 5 cytowań

[2011] R Burduk, M Kurzyński, M Woźniak, A Żołnierek, Advances in Intelligent and Soft Computing 5 cytowań

[2011] Bartosz KRAWCZYK, Michał WOŹNIAK, Hypertension diagnosis using compound pattern recognition methods 5 cytowań

[2010] Michal Wozniak, Combining pattern recognition algorithms chances and limits 5 cytowań

[2010] Tomasz Wilk, M Wozniak, Combination of one-class classifiers for multiclass problems by fuzzy logic 5 cytowań

[2009] Marek Kurzynski, Michal Wozniak, Computer Recognition Systems 3 5 cytowań

[2009] Marek Kurzynski, Michal Wozniak, Computer Recognition Systems 3 5 cytowań

[2009] Marek Kurzynski, Michal Wozniak, Computer Recognition Systems 3 5 cytowań

[2009] Marek Kurzynski, Michal Wozniak, Computer Recognition Systems 3 5 cytowań

[2009] Marek Kurzynski, Michal Wozniak, Computer Recognition Systems 3 5 cytowań

[2009] Krzysztof Walkowiak, Michał Woźniak, Decision tree induction methods for distributed environment 5 cytowań

[2008] Michal Wozniak, Konrad Jackowski, Fusers Based on Classifier Response and Discriminant Function–Comparative Study 5 cytowań

[2007] Marek Kurzynski, Edward Puchala, Michal Wozniak, Andrzej Zolnierek, Computer Recognition Systems 2 5 cytowań

[2007] Marek Kurzynski, Edward Puchala, Michal Wozniak, Andrzej Zolnierek, Computer Recognition Systems 2 5 cytowań

[2007] Marek Kurzynski, Edward Puchala, Michal Wozniak, Andrzej Zolnierek, Computer Recognition Systems 2 5 cytowań

[2005] Marek Kurzynski, Edward Puchala, Michal Wozniak, Andrzej Zolnierek, Computer Recognition Systems: Proceedings of 4th International Conference on Computer Recognition Systems CORES'05 5 cytowań

[2005] M KURZYNSKI, E PUCHALA, M WOZNIAK, A ZOLNIEREK, Computer recognition systems,(Advances in soft computing) 5 cytowań

[2000] Marek Kurzynski, Edward Puchala, Michal Wozniak, TelFam: a telemedicine system for the family doctor practices 5 cytowań

[1996] M Wozniak, A Blinowska, Unification of the information as the way of recognition the controlled Markov chains 5 cytowań

[2019] Jakub Klikowski, Pawel Ksieniewicz, Michal Wozniak, A Genetic-Based Ensemble Learning Applied to Imbalanced Data Classification 4 cytowań

[2018] Bartosz Krawczyk, Michal Wozniak, Leveraging ensemble pruning for imbalanced data classification 4 cytowań

[2017] Michal Wozniak, Accuracy based weighted aging ensemble (ab-wae)—algorithm for data stream classification 4 cytowań

[2017] Adam Merk, Piotr Cal, Michał Woźniak, Distributed DBSCAN algorithm–Concept and experimental evaluation 4 cytowań

[2017] Michal Choras, Michal Wozniak, Concept Drift Analysis for Improving Anomaly Detection Systems in Cybersecurity. 4 cytowań

[2015] José A Sáez, Bartosz Krawczyk, M Woźniak, Handling class label noise in medical pattern classification systems 4 cytowań

[2014] Michał Woźniak, Andrzej Kasprzak, Data stream classification using classifier ensemble 4 cytowań

[2013] Bogusław Cyganek, Michał Woźniak, A framework for image analysis and object recognition in industrial applications with the ensemble of classifiers 4 cytowań

[2013] Piotr Sobolewski, Michał Woźniak, LDCnet: minimizing the cost of supervision for various types of concept drift 4 cytowań

[2013] Bartosz Krawczyk, Michał Woźniak, Tomasz Orczyk, Piotr Porwik, Cost Sensitive Hierarchical Classifiers for Non-invasive Recognition of Liver Fibrosis Stage 4 cytowań

[2013] Bartosz Krawczyk, Michał Woźniak, Analysis of diversity assurance methods for combined classifiers 4 cytowań

[2012] Bogusław Cyganek, Michał Woźniak, Pixel-based object detection and tracking with ensemble of support vector machines and extended structural tensor 4 cytowań

[2012] Piotr Sobolewski, Michał Woźniak, Data with shifting concept classification using simulated recurrence 4 cytowań

[2012] Václav Snášel, Ajith Abraham, Michał Woźniak, Manuel Graña, Sung-Bae Cho, Hybrid Artificial Intelligent Systems: 7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30th, 2012. Proceedings. Part I 4 cytowań

[2011] Tomasz Kajdanowicz, Michal Wozniak, Przemyslaw Kazienko, Multiple classifier method for structured output prediction based on error correcting output codes 4 cytowań

[2011] Piotr Sobolewski, Michał Woźniak, Artificial recurrence for classification of streaming data with concept shift 4 cytowań

[2011] Bartosz Krawczyk, Michal Wozniak, Privacy Preserving Models of k-NN Algorithm 4 cytowań

[2009] Mariusz Koziol, Michal Wozniak, Multivariate Decision Trees vs. Univariate Ones 4 cytowań

[2003] Michal Wozniak, Concept of the knowledge quality management for rule-based decision system 4 cytowań

[2003] Michal Wozniak, Case-and rule-based algorithms for the contextual pattern recognition problem 4 cytowań

[2001] Michal Wozniak, Marek Kurzynski, Generating classifier for the acute abdominal pain diagnosis problem 4 cytowań

[2021] Michał Choraś, Konstantinos Demestichas, Agata Giełczyk, Álvaro Herrero, Paweł Ksieniewicz, Konstantina Remoundou, Daniel Urda, Michał Woźniak, Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study 3 cytowań

[2020] Amgad M Mohammed, Enrique Onieva, Michał Woźniak, Training set selection and swarm intelligence for enhanced integration in multiple classifier systems 3 cytowań

[2020] Paweł Ksieniewicz, Paweł Zyblewski, Michał Choraś, Rafał Kozik, Agata Giełczyk, Michał Woźniak, Fake News Detection from Data Streams 3 cytowań

[2020] Pawel Zyblewski, Robert Sabourin, Michal Wozniak, Data Preprocessing and Dynamic Ensemble Selection for Imbalanced Data Stream Classification 3 cytowań

[2019] Francisco Javier De Cos, Michał Woźniak, Juan Albino Méndez, José R Villar Flecha, Special issue SOCO 2017: AI and ML applied to Health Sciences (MLHS) 3 cytowań

[2018] Jakub Zgraja, Michał Woźniak, Drifted Data Stream Clustering Based on ClusTree Algorithm 3 cytowań

[2018] B Cyganek, M Wozniak, Virtual high dynamic range imaging for underwater drone navigation 3 cytowań

[2017] Bogusław Cyganek, Michał Woźniak, A tensor framework for data stream clustering and compression 3 cytowań

[2017] Bogusław Cyganek, Michał Woźniak, Efficient real-time background detection based on the PCA subspace decomposition 3 cytowań

[2016] Bogusław Cyganek, Manuel Graña, Piotr Porwik, Michał Woźniak, Intelligent methods applied to health-care information systems 3 cytowań

[2015] Boguslaw Cyganek, Manuel Grana, Andrzej Kasprzak, Krzysztof Walkowiak, Michal Wozniak, Selected aspects of electronic health record analysis from the big data perspective 3 cytowań

[2015] Bartosz Krawczyk, Michal Wozniak, Incremental one-class bagging for streaming and evolving big data 3 cytowań

[2015] Bartosz Krawczyk, Michał Woźniak, Pruning Ensembles of One-Class Classifiers with X-means Clustering 3 cytowań

[2014] Bartosz Krawczyk, Michał Wozniak, Experiments on simultaneous combination rule training and ensemble pruning algorithm 3 cytowań

[2014] Bartosz Krawczyk, Michał Woźniak, Handling label noise in microarray classification with one-class classifier ensemble 3 cytowań

[2014] Konrad Jackowski, Dariusz Jankowski, Paweł Ksieniewicz, Dragan Simić, Svetlana Simić, Michał Woźniak, Ensemble classifier systems for headache diagnosis 3 cytowań

[2014] Michał Woźniak, Classifier hybridization 3 cytowań

[2013] Bartosz Krawczyk, Michał Woźniak, Tomasz Orczyk, Piotr Porwik, Adaptive splitting and selection method for noninvasive recognition of liver fibrosis stage 3 cytowań

[2013] Tomasz Orczyk, Piotr Porwik, Bartosz Krawczyk, Michal Wozniak, Joanna Musialik, Barbara Blonska-Fajfrowska, E-medical diagnosis support system for non-invasive liver fibrosis recognition. 3 cytowań

[2012] Piotr Cal, Michał Woźniak, Drift detection and model selection algorithms: concept and experimental evaluation 3 cytowań

[2011] Robert Burduk, Marek Kurzynski, Michal Wozniak, Andrzej Zolnierek, Computer Recognition Systems 4 3 cytowań

[2010] Marek Kurzyński, Przemysław Ryba, Marcin Markowski, Michał Woźniak, Medical Telemetry System for Monitoring and Localization of Patients-Functional Model and Algorithms for Biosignals Processing 3 cytowań

[2010] Michal Wozniak, Marcin Zmyslony, Chosen problems of designing effective Multiple Classifier Systems 3 cytowań

[2009] Krzysztof Walkowiak, Michał Woźniak, Modeling of network computing systems for decision tree induction tasks 3 cytowań

[2009] Konrad Jackowski, Michal Wozniak, Adaptive Splitting and Selection Method of Classifier Ensemble Building 3 cytowań

[2003] Michal Wozniak, Application of the confidence measure in knowledge acquisition process 3 cytowań

[2021] Katarzyna Stapor, Paweł Ksieniewicz, Salvador García, Michał Woźniak, How to design the fair experimental classifier evaluation 2 cytowań

[2020] Szymon Wojciechowski, Michał Woźniak, Employing Decision Templates to Imbalanced Data Classification 2 cytowań

[2020] Paweł Zyblewski, Michał Woźniak, Novel clustering-based pruning algorithms 2 cytowań

[2019] Paweł Zyblewski, Michał Woźniak, Clustering-Based Ensemble Pruning and Multistage Organization Using Diversity 2 cytowań

[2019] Amgad M Mohammed, Enrique Onieva, Michał Woźniak, Vertical and Horizontal Data Partitioning for Classifier Ensemble Learning 2 cytowań

[2018] Barbara Bobowska, Michał Woźniak, Experimental study on modified radial-based oversampling 2 cytowań

[2018] Michał Koziarski, Krzysztof Kwater, Michał Woźniak, Wykorzystywanie programów uczenia w głębokim uczeniu przez wzmacnianie. O istocie rozpoczynania od rzeczy małych 2 cytowań

[2016] Michał Woźniak, Paweł Ksieniewicz, Andrzej Kasprzak, Karol Puchała, Przemysław Ryba, A first attempt to construct effective concept drift detector ensembles 2 cytowań

[2016] Michał Woźniak, Bogusław Cyganek, A First Attempt on Online Data Stream Classifier Using Context 2 cytowań

[2016] Robert Burduk, Konrad Jackowski, Marek Kurzynski, Michal Wozniak, Andrzej Zolnierek, Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015 2 cytowań

[2016] Emilio Corchado, Ajith Abraham, André de Carvalho, Michał Woźniak, Sung-Bae Cho, Héctor Quintián, Recent advancements in hybrid artificial intelligence systems and its application to real-world problems 2 cytowań

[2016] Bogusław Cyganek, Michal Wozniak, Efficient computation of the tensor chordal kernels 2 cytowań

[2015] Bartosz Krawczyk, Michał Woźniak, Pruning ensembles with cost constraints 2 cytowań

[2015] Pawel Ksieniewicz, Dariusz Jankowski, Borja Ayerdi, Konrad Jackowski, Manuel Grana, Michal Wozniak, A novel hyperspectral segmentation algorithm—concept and evaluation 2 cytowań

[2015] Michal Wozniak, Dilip Krishnaswamy, Christian Callegari, Hideyuki Takagi, Neeli R Prasad, Xinyu Que, Natarajan Meghanathan, Ravi Sandhu, Advances in Computing, Communications and Informatics (ICACCI) 2 cytowań

[2014] Bartosz Krawczyk, Michał Woźniak, Untrained method for ensemble pruning and weighted combination 2 cytowań

[2014] Piotr Sobolewski, Michał Woźniak, Identifying Features with Concept Drift in Multidimensional Data Using Statistical Tests 2 cytowań

[2014] Bartosz Krawczyk, Michał Woźniak, Bogusław Cyganek, Clustering-Based Ensemble of One-Class Classifiers for Hyperspectral Image Segmentation 2 cytowań

[2014] Bartosz Krawczyk, Michał Woźniak, Optimization algorithms for one-class classification ensemble pruning 2 cytowań

[2014] Michal Wozniak, Emilio S Corchado Rodríguez, Manuel Graña Romay, Guest Editorial: Hybrid intelligent fusion systems. 2 cytowań

[2013] Bartosz Krawczyk, Michał Woźniak, Distributed privacy-preserving minimal distance classification 2 cytowań

[2013] Bartosz Krawczyk, Michał Woźniak, Pruning One-class classifier ensembles by combining sphere intersection and consistency measures 2 cytowań

[2013] Bartosz Krawczyk, Gerald Schaefer, Michał Woźniak, An evaluation of classifier ensembles for class imbalance problems 2 cytowań

[2013] Bartosz Krawczyk, Michał Woźniak, On diversity measures for fuzzy one-class classifier ensembles 2 cytowań

[2012] Marcin Zmyslony, Michal Wozniak, Konrad Jackowski, Comparative analysis of classifier fusers 2 cytowań

[2011] David C Wyld, Michal Wozniak, Nabendu Chaki, Natarajan Meghanathan, Dhinaharan Nagamalai, Advances in computing and information technology: first international conference, acity 2011, chennai, india, july 15-17, 2011, proceedings 2 cytowań

[2011] David C Wyld, Michal Wozniak, Nabendu Chaki, Natarajan Meghanathan, Dhinaharan Nagamalai, Advances in Computing and Information Technology: First International Conference, ACITY 2011, Chennai, India, July 15-17, 2011, Proceedings 2 cytowań

[2010] Michał WOŹNIAK, Combining classifiers-concept and applications 2 cytowań

[2010] Michał Woźniak, Marcin Zmyślony, Fusion Methods for the Two Class Recognition Problem–Analytical and Experimental Results 2 cytowań

[2009] Michał Woźniak, Modification of nested hyperrectangle exemplar as a proposition of information fusion method 2 cytowań

[2009] Robert Burduk, Michał Woźniak, Bayes Multistage Classifier and Boosted C4. 5 Algorithm in Acute Abdominal Pain Diagnosis 2 cytowań

[2006] Michal Wozniak, Adaptive Weights Calculation Procedure for Weighted Voting-Idea and Experimental Results. 2 cytowań

[2005] Michal Wozniak, Markov chains pattern recognition approach applied to the medical diagnosis tasks 2 cytowań

[2004] Michal Wozniak, Information fusion for probabilistic reasoning and its application to the medical decision support systems 2 cytowań

[2001] E Puchala, M Wozniak, The project of the telemedicine system for a family doctors' practices 2 cytowań

[2021] Joanna Grzyb, Jakub Klikowski, Michał Woźniak, Hellinger Distance Weighted Ensemble for imbalanced data stream classification 1 cytowań

[2020] Jakub Klikowski, Michał Woźniak, Employing One-Class SVM Classifier Ensemble for Imbalanced Data Stream Classification 1 cytowań

[2020] Maciej Kinal, Michał Woźniak, Data Preprocessing for des-knn and Its Application to Imbalanced Medical Data Classification 1 cytowań

[2019] Lin Lu, Michał Woźniak, Imbalanced Data Classification Using Weighted Voting Ensemble 1 cytowań

[2018] Andrzej Łapiński, Bartosz Krawczyk, Paweł Ksicnicwicz, Michał Woźniak, An empirical insight into concept drift detectors ensemble strategies 1 cytowań

[2017] Boguslaw Cyganek, Michal Wozniak, On Efficient Computation of Tensor Subspace Kernels for Multi-dimensional Data. 1 cytowań

[2017] S Ramfrez-Gallego, B Krawczyk, S Garcia, M Wozniak, JM Benitez, F Herrera, Fast case-based reasoning for large-scale streaming classification 1 cytowań

[2017] Paweł Ksieniewicz, Manuel Grana, Michał Woźniak, Paired feature multilayer ensemble–concept and evaluation of a classifier 1 cytowań

[2016] Michał Koziarski, Bartosz Krawczyk, Michał Woźniak, Forming classifier ensembles with deterministic feature subspaces 1 cytowań

[2016] Pedro Lopez-Garcia, Michał Woźniak, Enrique Onieva, Asier Perallos, Hybrid Optimization Method Applied to Adaptive Splitting and Selection Algorithm 1 cytowań

[2016] Bogusław Cyganek, Michał Woźniak, Dariusz Jankowski, Ensemble of HOSVD generated tensor subspace classifiers with optimal tensor flattening directions 1 cytowań

[2014] Bartosz Krawczyk, Łukasz Jeleń, Michał Woźniak, Adaptive Splitting and Selection ensemble for breast cancer malignancy grading 1 cytowań

[2014] Bartosz Krawczyk, Michał Woźniak, One-class classification ensemble with dynamic classifier selection 1 cytowań

[2014] Bartosz Krawczyk, Michal Wozniak, Boguslaw Cyganek, Weighted One-Class Classifier Ensemble Based on Fuzzy Feature Space Partitioning. 1 cytowań

[2014] Marios Polycarpou, Andre C Carvalho, Jeng-Shyang Pan, Michał Woźniak, Héctor Quintián Pardo, Emilio Santiago Corchado Rodríguez, Hybrid Artificial Intelligence Systems 1 cytowań

[2014] Marios M Polycarpou, A Carvalho, JS Oan, M Wozniak, H Quintián, E Corchado, Hybrid Artificial Intelligent Systems-HAIS 2014 1 cytowań

[2014] Marios Polycarpou, André Carlos Ponce de Leon Carvalho, Jeng-Shyang Pan, Michal Wozniak, Héctor Quintián, Emilio Corchado, Proceedings of the 9th International Conference on Hybrid Artificial Intelligent Systems-HAIS 1 cytowań

[2014] Marios Polycarpou, Andre C Carvalho, Jeng-Shyang Pan, Michał Woźniak, Héctor Quintián Pardo, Emilio Santiago Corchado Rodríguez, Hybrid Artificial Intelligence Systems 1 cytowań

[2014] Marios Polycarpou, Andre C Carvalho, Jeng-Shyang Pan, Michał Woźniak, Héctor Quintián Pardo, Emilio Santiago Corchado Rodríguez, Hybrid Artificial Intelligence Systems 1 cytowań

[2014] Marios Polycarpou, Andre C Carvalho, Jeng-Shyang Pan, Michał Woźniak, Héctor Quintián Pardo, Emilio Santiago Corchado Rodríguez, Hybrid Artificial Intelligence Systems 1 cytowań

[2014] Bartosz Krawczyk, Michał Woźniak, Tomasz Orczyk, Piotr Porwik, Joanna Musialik, Barbara Błońska-Fajfrowska, Neural Network Ensemble Based on Feature Selection for Non-Invasive Recognition of Liver Fibrosis Stage 1 cytowań

[2014] Michał Woźniak, Data and Knowledge Hybridization 1 cytowań

[2014] Michał Woźniak, Chosen applications of hybrid classifiers 1 cytowań

[2013] Jeng-Shyang Pan, Marios Polycarpou, Michał Woźniak, Andre C Carvalho, Héctor Quintián Pardo, Emilio Santiago Corchado Rodríguez, Hybrid Artificial Intelligent Systems 1 cytowań

[2013] Jeng-Shyang Pan, Marios Polycarpou, Michał Woźniak, Andre C Carvalho, Héctor Quintián Pardo, Emilio Santiago Corchado Rodríguez, Hybrid Artificial Intelligent Systems 1 cytowań

[2013] Jeng-Shyang Pan, Marios Polycarpou, Michał Woźniak, Andre C Carvalho, Héctor Quintián Pardo, Emilio Santiago Corchado Rodríguez, Hybrid Artificial Intelligent Systems 1 cytowań

[2013] Piotr Cal, Michał Woźniak, Parallel Hoeffding Decision Tree for Streaming Data 1 cytowań

[2013] Piotr Sobolewski, Michał Woźniak, Enhancing concept drift detection with simulated recurrence 1 cytowań

[2010] Szymon Sztajer, Michal Wozniak, Untrained Multiple Classifier System for designing security scanner for web applications 1 cytowań

[2010] Bartosz Kurlej, Piotr Sobolewski, Michal Wozniak, Simple combining classifiers for a special case of incremental concept drift problem 1 cytowań

[2008] Michal Wozniak, Experiments with boosted decision tree classifiers 1 cytowań

[2007] Michal Wozniak, Combined approach to pattern classification in parametric case 1 cytowań

[2005] Michal Wozniak, Some propositions of information fusion for pattern recognition with context task 1 cytowań

[2004] A Drużycka-Wiencek, M Woźniak, KJ Kurzydłowski, Morphology and properties of oxide films formed on the nanocrystalline 316L austenite steel 1 cytowań

[2003] Michal Wozniak, Proposition of the quality measure for the probabilistic decision support system 1 cytowań

[2021] Joanna Grzyb, Mariusz Topolski, Michał Woźniak, Application of Multi-objective Optimization to Feature Selection for a Difficult Data Classification Task

[2021] Sebastian Kula, Rafał Kozik, Michał Choraś, Michał Woźniak, Transformer Based Models in Fake News Detection

[2021] Michał Koziarski, Colin Bellinger, Michał Woźniak, RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification

[2021] Esteban Jove, Jose M Gonzalez-Cava, José-Luis Casteleiro-Roca, Héctor Quintián, Juan Albino Méndez Pérez, Rafael Vega Vega, Francisco Zayas-Gato, Francisco Javier de Cos Juez, Ana León, María MartÍn, José A Reboso, Michał Woźniak, José Luis Calvo-Rolle, Hybrid intelligent model to predict the remifentanil infusion rate in patients under general anesthesia

[2021] Michał Woźniak, Marcin Chlebus, HCR & HCR-GARCH–novel statistical learning models for Value at Risk estimation

[2020] Paweł Zyblewski, Paweł Ksieniewicz, Michał Woźniak, Combination of Active and Random Labeling Strategy in the Non-stationary Data Stream Classification

[2020] Nuño Basurto, Michał Woźniak, Carlos Cambra, Álvaro Herrero, Advanced Oversampling for Improved Detection of Software Anomalies in a Robot

[2020] Michał Żak, Michał Woźniak, Performance Analysis of Binarization Strategies for Multi-class Imbalanced Data Classification

[2020] Paweł Zyblewski, Michał Woźniak, Dynamic Classifier Selection for Data with Skewed Class Distribution Using Imbalance Ratio and Euclidean Distance

[2020] Francisco Herrera, Ajith Abraham, Michał Woźniak, Hilde Pérez, Emilio Corchado, Special Issue SOCO 2017: New trends in soft computing and its application in industrial and environmental problems

[2020] Sabu M Thampi, Ljiljana Trajkovic, Kuan-Ching Li, Swagatam Das, Michal Wozniak, Stefano Berretti, Machine Learning and Metaheuristics Algorithms, and Applications: First Symposium, SoMMA 2019, Trivandrum, India, December 18–21, 2019, Revised Selected Papers

[2020] Manuel Grana, Michal Wozniak, Sebastian Rios, Javier de Lope, Computational Intelligence in Remote Sensing: An Editorial

[2019] Barbara Bobowska, Jakub Klikowski, Michał Woźniak, Imbalanced Data Stream Classification Using Hybrid Data Preprocessing

[2019] Francisco Martínez-Álvarez, Alicia Troncoso, Héctor Quintián, Emilio Corchado, Special issue on Hybrid Artificial Intelligence Systems from HAIS 2016 Conference

[2019] Bartosz Krawczyk, Michal Wozniak, On the Role of Cost-Sensitive Learning in Imbalanced Data Oversampling

[2019] Robert Burduk, Marek Kurzynski, Michał Wozniak, Progress in Computer Recognition Systems

[2019] Jakub Zgraja, Richard Hugh Moulton, João Gama, Andrzej Kasprzak, Michał Woźniak, Adapting ClusTree for more challenging data stream environments

[2018] Jakub Zgraja, João Gama, Michał Woźniak, Active Learning by Clustering for Drifted Data Stream Classification

[2018] José A Sáez, Héctor Quintián, Bartosz Krawczyk, Michał Woźniak, Emilio Corchado, Multi-class Imbalanced Data Oversampling for Vertebral Column Pathologies Classification

[2018] MICHAŁ WOŹNIAK, MICHAŁ KOZIARSKI1, KRZYSZTOF KWATER2

[2017] Sabu M Thampi, Sri Krishnan, Juan Manuel Corchado Rodriguez, Swagatam Das, Michal Wozniak, Dhiya Al-Jumeily, Advances in Signal Processing and Intelligent Recognition Systems: Proceedings of Third International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS …

[2017] Sabu M Thampi, Sri Krishnan, Juan Manuel Corchado Rodriguez, Swagatam Das, Michal Wozniak, Dhiya Al-Jumeily, Advances in Signal Processing and Intelligent Recognition Systems: Proceedings of Third International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS …

[2017] Marek Kurzynski, Michal Wozniak, Robert Burduk, Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017

[2017] Marios M Polycarpou, André De Carvalho, Jeng-Shyang Pan, Michal Wozniak, Héctor Quintián, Emilio Corchado, Special issue HAIS 2014: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems

[2016] Michał Woźniak, Bartosz Krawczyk, Workshop on Nonstationary Models of Pattern Recognition and Classifier Combinations

[2016] Boguslaw Cyganek, Michał Wozniak, Exploiting Data Parallelism for Efficient Classification of Multi-Dimensional Patterns

[2016] Przemyslaw Ryba, A First Attempt to Construct Effective Concept Drift Detector Ensembles

[2016] Paweł Ksieniewicz, Bartosz Krawczyk, Michał Woźniak, Ensemble of One-Dimensional Classifiers for Hyperspectral Image Analysis

[2016] Bogusław Cyganek, Michał Woźniak, Efficient Multidimensional Pattern Recognition in Kernel Tensor Subspaces

[2016] MICHAL. WOZNIAK, HYBRID CLASSIFIERS.

[2016] Pawel Ksieniewicz, Michał Woźniak, Artificial Photoreceptors for Ensemble Classification of Hyperspectral Images

[2016] Konrad Jackowski, Dariusz Jankowski, Héctor Quintián, Emilio Corchado, Michał Woźniak, Modelling Dental Milling Process with Machine Learning-Based Regression Algorithms

[2015] Konrad Jackowski, Robert Burduk, Krzysztof Walkowiak, Michal Wozniak, Hujun Yin, Intelligent Data Engineering and Automated Learning–IDEAL 2015: 16th International Conference, Wroclaw, Poland, October 14-16, 2015, Proceedings

[2015] Héctor Quintián, Emilio Corchado, Ajith Abraham, André CPLF de Carvalho, Michal Wozniak, Vaclav Snasel, Sung-Bae Cho, Special issue HAIS 2012

[2015] Héctor Quintián, Emilio Corchado, Ajith Abraham, André CPLF de Carvalho, Michal Wozniak, Vaclav Snasel, Sung-Bae Cho, Special issue HAIS 2012: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems

[2015] Bartosz Krawczyk, Michał Woźniak, Combining nearest neighbour classifiers based on small subsamples for big data analytics

[2015] Héctor Quintián, Emilio Corchado, Andre De Carvalho, Ajith Abraham, Michał Wózniak, Manuel Graña, Sung-Bae Cho, Special issue HAIS12-IGPL

[2015] Héctor Quintián Pardo, Emilio Santiago Corchado Rodríguez, Ponce de Leon Ferreira de Carvalho, C André, Ajith P Abraham, Michał Woźniak, Manuel Graña Romay, Sung-Bae Cho, Special issue HAIS12-IGPL

[2015] Jaime Loret Mauri, Sabu M. Thampi, Michal Wozniak, O. Marques, D. Krishnaswamy, C. Callegari, H. Takagi, Z. Bojkovic, N. Prasad, J. A. Calero, Joel J. P. C. Rodrigues, N. Meghanathan, R. Sandhu, Advances in Computing, Communications and Informatics (ICACCI)

[2015] M Woźniak, Zespoły klasyfikatorów-aktualne kierunki badań

[2015] Paweł Ksieniewicz, Manuel Graña, Michał Woźniak, Blurred Labeling Segmentation Algorithm for Hyperspectral Images

[2015] Manuel Graña, Eider Sanchez, Michal Wozniak, Special issue on innovations in medicine and healthcare

[2014] Bartosz Krawczyk, Michał Woźniak, New untrained aggregation methods for classifier combination

[2014] Bartosz Krawczyk, Paweł Filipczuk, Michał Woźniak, Andrzej Obuchowicz, DIVERSITY-BASED CLASSIFIER SELECTION FOR BREAST CANCER CYTOLOGICAL IMAGE ANALYSIS

[2014] Emilio Santiago Corchado Rodríguez, Michał Woźniak, Ajith P Abraham, Andre C Carvalho, Václav Snášel, Recent trends in intelligent data analysis

[2014] Marios M Polycarpou, ACPLF De Carvalho, JS Pan, M Wozniak, H Quintián, E Corchado, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface

[2014] Marios Polycarpou, Andre Carlos Ponce de Leon Carvalho, Jeng-Shyang Pan, Michal Wozniak, Héctor Quintián, Emilio Corchado, This volume of Lecture Notes on Artificial Intelligence (LNAI) includes...[Prefácio]

[2014] Bartosz Krawczyk, Paweł Ksieniewicz, Michał Woźniak, Hyperspectral Image Analysis Based on Quad Tree Decomposition

[2013] Michał Woźniak, Piotr Cal, Weighed Aging Ensemble of Heterogenous Classifiers for Incremental Drift Classification

[2013] Krzysztof Walkowiak, Michał Woźniak, Guest Editorial: Intelligent Network Security and Survivability

[2013] Manuel Graña, Michal Wozniak, Nima Hatami, Special issue on" Innovative knowledge based techniques in pattern recognition"

[2013] Jeng-Shyang Pan, Marios M Polycarpou, Michal Wozniak, Andre Carlos Ponce de Leon Carvalho, Héctor Quintián, Emilio Corchado, Proceedings of the 8th International Conference on Hybrid Artificial Intelligent Systems-HAIS

[2013] Jeng-Shyang Pan, Marios M Polycarpou, Michal Wozniak, Andre Carlos Ponce de Leon Carvalho, Héctor Quintián, Emilio Corchado, This volume of Lecture Notes in Artificial Intelligence...[Prefácio]

[2013] M Â±a, M Wozniak, N Hatami, Special issue on ÃƒÂ¢ Ã¢ â€ šÂ¬ Ã… â€ œInnovative knowledge based techniques in pattern recognitionÃƒÂ¢ Ã¢ â€ šÂ¬ Ã¯ Â¿ Â½

[2013] Halina Kwasnicka, Urszula Markowska-Kaczmar, Bartosz Krawczyk, Dominik Slezak, Anna Bartkowiak, Jan Bazan, Yevgeniy Bodyanskiy, Mateusz Budnik, Jerzy Blaszczynski, Boguslaw Cyganek, Ireneusz Czarnowski, Francisco Herrera, Zdzislaw Hippe, Jerzy W Jaromczyk, Józef Korbicz, Victor Marek, Eunika Mercier-Laurent, Lukasz Miroslaw, Pawel Myszkowski, Hung Son Nguyen, Marco Porta, Sheela Ramanna, Zbigniew Ras, Abdel Badeeh M Salem, Jerzy Sas, Vaclav Snasel, Izabela Szczech, Marcin Szczuka, Stan Szpakowicz, Ryszard Tadeusiewicz, Li-Shiang Tsay, Olgierd Unold, Michal Wozniak, M Wysocki, 8 th international symposium advances in artificial intelligence and applications

[2013] Sanguthevar Rajasekaran, Michal Wozniak, Special section on invited papers from NetCoM-2009

[2012] Tomasz Wilk, Michał Woźniak, Comparison of fuzzy combiner training methods

[2012] Konrad Gajewski, Michal Wozniak, Performance evaluation of hybrid implementation of support vector machine

[2012] Emilio S Corchado RODRIGUEZ, Vaclav SNASEL, Ajith ABRAHAM, Michal WOZNIAK, Man GRANA, Hybrid artificial intelligent systems

[2012] Emilio Santiago Corchado Rodríguez, Manuel Graña Romay, Michał Woźniak, New trends and applications on hybrid artificial intelligence systems

[2011] David C Wyld, Michal Wozniak, Nabendu Chaki, Natarajan Meghanathan, Dhinaharan Nagamalai, Advances in Network Security and Applications: 4th International Conference, CNSA 2011, Chennai, India, July 15-17, 2011, Proceedings

[2011] David C Wyld, Michal Wozniak, Nabendu Chaki, Natarajan Meghanathan, Dhinaharan Nagamalai, Advances in Network Security and Applications: 4th International Conference, CNSA 2011, Chennai, India, July 15-17, 2011, Proceedings

[2011] David C Wyld, Michal Wozniak, Nabendu Chaki, Natarajan Meghanathan, Dhinaharan Nagamalai, Advances in Network Security and Applications: 4th International Conference, CNSA 2011, Chennai, India, July 15-17, 2011, Proceedings

[2011] David C Wyld, Michal Wozniak, Nabendu Chaki, Natarajan Meghanathan, Dhinaharan Nagamalai, Advances in Network Security and Applications: 4th International Conference, CNSA 2011, Chennai, India, July 15-17, 2011, Proceedings

[2011] Robert BURDUK, Marek KURZYNSKI, Michal WOZNIAK, Andrzej ZOLNIEREK, Computer recognition systems 4 (series: advances in intelligent and soft computing)

[2011] Emilio Corchado, Michal Wozniak, Neuro-symbolic Algorithms and Models for Bio-inspired Systems

[2011] Manuel Graña, Emilio Corchado, Michal Wozniak, Special issue: HAIS 2010

[2011] Michal Wozniak, David C Wyld, Trends in Networks and Communications: International Conferences NeCoM, WeST, WiMoN 2011, Chennai, India, July 15-17, 2011;[the Third International Conference on Networks and …

[2011] Michal Wozniak, Marcin Zmyslony, Combining classifier with a fuser implemented as a one layer perceptron

[2011] Michał Woźniak, Marcin Zmyślony, Cost-sensitive classifier ensemble for medical decision support system

[2011] Manuel Graña, Emilio Corchado, Michal Wozniak, Special Issue on Hybrid Artificial Intelligent Systems

[2011] Michal Wozniak, Knowledge source confidence measure applied to a rule-based recognition system

[2010] Michal Wozniak, Elif Derya Übeyli, Computer recognition systems

[2010] Krzysztof WALKOWIAK, Michał WOZNIAK, GRID COMPUTING

[2010] Robert Burduk, Konrad Jackowski, Michal Wozniak, Integrated system merging the knowledge of different medical and technological disciplines WROVASC project

[2009] Marek KURZYNSKI, Michal WOZNIAK, Computer recognition systems 3 (paperback) book (series: advances in intelligent and soft computing)

[2009] Marek KURZYNSKI, Michal WOZNIAK, Computer Recognition Systems 3 (Paperback): Proceedings of 6th International Conference on Computer Recognition Systems CORES09 Book.(Series: Advances in Intelligent and Soft …

[2009] Michał WOŹNIAK, Oksana OLIJNYK, Marcin ZMYŚLONY, New approach for estimating budget cost of projects in medical area

[2007] Marek Kurzynski, Edward Puchala, Michal Wozniak, Andrzej Zolnierek, Computer Recognition Systems: Proceedings of 4th International Conference on Computer Recognition Systems CORES'05

[2005] Marek Kurzyński, Computer recognition systems: proceedings of the 4th International Conference on Computer Recognition Systems, CORES'05

[2005] Michal Wozniak, Three classifiers for acute abdominal pain diagnosis–comparative study

[2005] Marek Kurzyński, Edward Puchala, Michał Woźniak, Andrzej Żołnierek, Computer Recognition Systems: Proceedings of the 4th International Conference (CORES'05), Rydzyna Castle (Poland), 22-25.05. 2005

[2005] Wojciech Penar, Michal Wozniak, Machine Learning Methods for Dialysis Therapy Decision Problem—Comparative Study

[2003] M Woźniak, The recognition algorithm for the probabilistic decision system with the different quality of the expert knowledge

[2001] M Kurzyński, E Puchała, M Woźniak, Different approaches applied to the contextual medical decision problem

[2001] Marek W Kurzyński, Edward Puchała, Michał Woźniak, Computer recognition systems

[1995] Marek Kurzynski, Michal Wozniak, Alexandra Blinowska, Combined Pattern Recognition for Markov Chains

[1995] Marek Kurzynski, Michal Wozniak, Alexandra Blinowska, Diagnosis of human acid-base balance states via combined pattern recognition for Markov chains

prof. dr hab. inż.

Michał Woźniak

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Wybrane publikacje

A survey of multiple classifier systems as hybrid systems [2014]

Ensemble learning for data stream analysis: A survey [2017]

A survey on data preprocessing for data stream mining: Current status and future directions [2017]

Cost-sensitive decision tree ensembles for effective imbalanced classification [2014]

Analyzing the oversampling of different classes and types of examples in multi-class imbalanced datasets [2016]