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Michal Wozniak 0001
Michał Woźniak
Person information
- unicode name: Michał Woźniak
- affiliation: Wroclaw University of Science and Technology, Poland
Other persons with the same name
- Michal Wozniak — disambiguation page
- Michal Wozniak 0002 — University of Warsaw, Faculty of Mathematics, Informatics and Mechanics, Poland (and 1 more)
- Michal Wozniak 0003
— Medical University of Gdansk, Department of Medical Chemistry, Poland
- Michal Wozniak 0004 — Polish Academy of Sciences, Institute of Polish Language, Poland
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2020 – today
- 2024
- [j103]Xin Jin, Shin-Jye Lee, Michal Wozniak, Qian Jiang:
Editorial: Recent advances in image fusion and quality improvement for cyber-physical systems, volume II. Frontiers Neurorobotics 18 (2024) - [j102]Radek Svoboda
, Sebastián Basterrech
, Jedrzej Kozal
, Jan Platos
, Michal Wozniak:
A natural gas consumption forecasting system for continual learning scenarios based on Hoeffding trees with change point detection mechanism. Knowl. Based Syst. 304: 112482 (2024) - [j101]Michal Koziarski, Michal Wozniak:
Local neighborhood encodings for imbalanced data classification. Mach. Learn. 113(10): 7421-7449 (2024) - [j100]Huanyu Guo
, Xin Jin
, Qian Jiang
, Michal Wozniak
, Puming Wang
, Shaowen Yao
:
DMF-Net: A Dual Remote Sensing Image Fusion Network Based on Multiscale Convolutional Dense Connectivity With Performance Measure. IEEE Trans. Instrum. Meas. 73: 1-15 (2024) - [c182]Weronika Borek-Marciniec
, Michal Wozniak
:
MOO-Points - Distance-based Method for Multi-objective Optimization in the Imbalanced Data Classification Task. CISIM 2024: 319-331 - [c181]Jedrzej Kozal, Jan Wasilewski, Bartosz Krawczyk, Michal Wozniak:
Continual Learning with Weight Interpolation. CVPR Workshops 2024: 4187-4195 - [c180]Michal Panek, Ireneusz Jablonski, Michal Wozniak:
Modeling configuration-performance relation in a mobile network: a data-driven approach. PIMRC 2024: 1-6 - [i16]Jedrzej Kozal, Jan Wasilewski, Bartosz Krawczyk, Michal Wozniak:
Continual Learning with Weight Interpolation. CoRR abs/2404.04002 (2024) - [i15]Szymon Wojciechowski, Michal Wozniak:
Fβ-plot - a visual tool for evaluating imbalanced data classifiers. CoRR abs/2404.08709 (2024) - [i14]Michal Panek, Ireneusz Jablonski, Michal Wozniak:
Modeling configuration-performance relation in a mobile network: a data-driven approach. CoRR abs/2407.06702 (2024) - 2023
- [j99]Joanna Grzyb
, Michal Wozniak
:
SVM ensemble training for imbalanced data classification using multi-objective optimization techniques. Appl. Intell. 53(12): 15424-15441 (2023) - [j98]Michal Panek
, Adam Pomykala, Ireneusz Jablonski
, Michal Wozniak:
5G/5G+ network management employing AI-based continuous deployment. Appl. Soft Comput. 134: 109984 (2023) - [j97]Pawel Ksieniewicz
, Pawel Zyblewski
, Weronika Borek-Marciniec
, Rafal Kozik
, Michal Choras
, Michal Wozniak
:
Alphabet Flatting as a variant of n-gram feature extraction method in ensemble classification of fake news. Eng. Appl. Artif. Intell. 120: 105882 (2023) - [j96]Jedrzej Kozal
, Michal Wozniak
:
Increasing depth of neural networks for life-long learning. Inf. Fusion 98: 101829 (2023) - [j95]Michal Wozniak
, Pawel Zyblewski
, Pawel Ksieniewicz
:
Active Weighted Aging Ensemble for drifted data stream classification. Inf. Sci. 630: 286-304 (2023) - [c179]Joanna Komorniczak
, Pawel Ksieniewicz
, Michal Wozniak
:
Analysis of the Possibility to Employ Relationship Between the Problem Complexity and the Classification Quality as Model Optimization Proxy. CORES/IP&C 2023: 71-82 - [c178]Sebastián Basterrech, Andrzej Kasprzak, Jan Platos, Michal Wozniak:
A Continual Learning System with Self Domain Shift Adaptation for Fake News Detection. DSAA 2023: 1-10 - [c177]Weronika Wegier
, Michal Koziarski
, Michal Wozniak:
Optimized hybrid imbalanced data sampling for decision tree training. GECCO Companion 2023: 339-342 - [c176]Michal Les
, Michal Wozniak
:
Transfer of Knowledge Among Instruments in Automatic Music Transcription. ICAISC (1) 2023: 122-133 - [c175]Joanna Grzyb
, Michal Wozniak
:
DE-Forest - Optimized Decision Tree Ensemble. ICCCI 2023: 806-818 - [c174]Jedrzej Kozal, Justyna Zwolinska, Marek Klonowski, Michal Wozniak
:
Defending Network IDS against Adversarial Examples with Continual Learning. ICDM (Workshops) 2023: 60-69 - [c173]Jedrzej Kozal, Michal Wozniak
:
Combining Self-labeling with Selective Sampling. ICDM (Workshops) 2023: 70-79 - [c172]Joanna Grzyb, Michal Wozniak:
MOOforest - Multi-objective Optimization to Form Decision Tree Ensemble. PCC (2) 2023: 108-117 - [e21]Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang:
Fifth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 18 September 2023, LIDTA@ECML-PKDD, Turin, Italy. Proceedings of Machine Learning Research 241, PMLR 2023 [contents] - [i13]Jedrzej Kozal, Michal Wozniak:
Combining Self-labeling with Selective Sampling. CoRR abs/2301.04420 (2023) - [i12]Michal Les, Michal Wozniak:
Transfer of knowledge among instruments in automatic music transcription. CoRR abs/2305.00426 (2023) - [i11]Radek Svoboda, Sebastián Basterrech, Jedrzej Kozal, Jan Platos, Michal Wozniak:
A Natural Gas Consumption Forecasting System for Continual Learning Scenarios based on Hoeffding Trees with Change Point Detection Mechanism. CoRR abs/2309.03720 (2023) - 2022
- [j94]Weronika Wegier
, Michal Koziarski, Michal Wozniak
:
Multicriteria Classifier Ensemble Learning for Imbalanced Data. IEEE Access 10: 16807-16818 (2022) - [j93]Michal Choras, Michal Wozniak:
The double-edged sword of AI: Ethical Adversarial Attacks to counter artificial intelligence for crime. AI Ethics 2(4): 631-634 (2022) - [j92]Jakub Klikowski
, Michal Wozniak
:
Deterministic Sampling Classifier with weighted Bagging for drifted imbalanced data stream classification. Appl. Soft Comput. 122: 108855 (2022) - [j91]Amgad M. Mohammed
, Enrique Onieva, Michal Wozniak
:
Selective ensemble of classifiers trained on selective samples. Neurocomputing 482: 197-211 (2022) - [j90]Michal Choras, Aleksandra Pawlicka
, Rafal Kozik, Michal Wozniak
:
How Machine Learning May Prevent the Breakdown of Democracy by Contributing to Fake News Detection. IT Prof. 24(2): 25-31 (2022) - [j89]Rafal Kozik
, Sebastian Kula, Michal Choras, Michal Wozniak
:
Technical solution to counter potential crime: Text analysis to detect fake news and disinformation. J. Comput. Sci. 60: 101576 (2022) - [j88]Jedrzej Kozal
, Filip Guzy
, Michal Wozniak
:
Employing chunk size adaptation to overcome concept drift. J. Univers. Comput. Sci. 28(3): 249-268 (2022) - [j87]Álvaro Herrero, Emilio Corchado, Michal Wozniak
, Sung-Bae Cho, Slobodan Petrovic:
Cybersecurity applications of computational intelligence. Neural Comput. Appl. 34(23): 20447-20448 (2022) - [j86]Amgad M. Mohammed
, Enrique Onieva, Michal Wozniak
, Gonzalo Martínez-Muñoz
:
An analysis of heuristic metrics for classifier ensemble pruning based on ordered aggregation. Pattern Recognit. 124: 108493 (2022) - [c171]Jakub Deren, Michal Wozniak
:
Employing Generative Adversarial Network in COVID-19 Diagnosis. ACIIDS (1) 2022: 247-258 - [c170]Jedrzej Kozal, Michal Les, Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak:
Feature Integration Strategies for Multilingual Fake News Classification. IEEE Big Data 2022: 5049-5058 - [c169]Szymon Wojciechowski
, Germán González-Almagro
, Salvador García, Michal Wozniak
:
Adapting K-Means Algorithm for Pair-Wise Constrained Clustering of Imbalanced Data Streams. HAIS 2022: 153-163 - [c168]Marcin Jasinski, Michal Wozniak
:
Employing Convolutional Neural Networks for Continual Learning. ICAISC (1) 2022: 288-297 - [c167]Bogdan Gulowaty
, Michal Wozniak
:
Search-based framework for transparent non-overlapping ensemble models. IJCNN 2022: 1-6 - [c166]Michal Panek, Ireneusz Jablonski, Michal Wozniak
:
Automated identification of systematic performance changes in 5G networks by changepoint tracking. IJCNN 2022: 1-8 - [c165]Sebastián Basterrech, Jan Platos, Gerardo Rubino, Michal Wozniak:
Experimental Analysis on Dissimilarity Metrics and Sudden Concept Drift Detection. ISDA (3) 2022: 190-199 - [c164]Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang:
4th Workshop on Learning with Imbalanced Domains: Preface. LIDTA 2022: 1-7 - [c163]Joanna Komorniczak, Pawel Ksieniewicz, Michal Wozniak:
Data complexity and classification accuracy correlation in oversampling algorithms. LIDTA 2022: 175-186 - [c162]Sebastián Basterrech, Michal Wozniak:
Tracking changes using Kullback-Leibler divergence for the continual learning. SMC 2022: 3279-3285 - [e20]Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang:
Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA 2022, Grenoble, France, September 23, 2022. Proceedings of Machine Learning Research 183, PMLR 2022 [contents] - [i10]Jedrzej Kozal, Michal Wozniak:
Increasing Depth of Neural Networks for Life-long Learning. CoRR abs/2202.10821 (2022) - [i9]Jedrzej Kozal, Michal Les, Pawel Zyblewski
, Pawel Ksieniewicz
, Michal Wozniak:
Lifelong Learning Natural Language Processing Approach for Multilingual Data Classification. CoRR abs/2206.11867 (2022) - [i8]Sebastián Basterrech, Michal Wozniak:
Tracking changes using Kullback-Leibler divergence for the continual learning. CoRR abs/2210.04865 (2022) - 2021
- [j85]Michal Choras, Konstantinos P. Demestichas, Agata Gielczyk, Álvaro Herrero, Pawel Ksieniewicz
, Konstantina Remoundou, Daniel Urda
, Michal Wozniak
:
Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study. Appl. Soft Comput. 101: 107050 (2021) - [j84]Katarzyna Stapor
, Pawel Ksieniewicz
, Salvador García, Michal Wozniak
:
How to design the fair experimental classifier evaluation. Appl. Soft Comput. 104: 107219 (2021) - [j83]Michal Choras, Konstantinos P. Demestichas, Álvaro Herrero, Michal Wozniak
:
Editorial: Applying Machine Learning for Combating Fake News and Internet/Media Content Manipulation. Appl. Soft Comput. 110: 107779 (2021) - [j82]Esteban Jove
, Jose M. Gonzalez-Cava
, José Luís Casteleiro-Roca
, Héctor Quintián
, Juan Albino Méndez Pérez, Rafael Vega Vega, Francisco Zayas-Gato
, Francisco Javier de Cos Juez
, Ana León, María Martín, José Antonio Reboso
, Michal Wozniak
, José Luís Calvo-Rolle
:
Hybrid Intelligent Model to Predict the Remifentanil Infusion Rate in Patients Under General Anesthesia. Log. J. IGPL 29(2): 193-206 (2021) - [j81]Pawel Zyblewski
, Robert Sabourin, Michal Wozniak
:
Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams. Inf. Fusion 66: 138-154 (2021) - [j80]Joanna Grzyb
, Jakub Klikowski
, Michal Wozniak
:
Hellinger Distance Weighted Ensemble for imbalanced data stream classification. J. Comput. Sci. 51: 101314 (2021) - [j79]Michal Koziarski, Colin Bellinger, Michal Wozniak
:
RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification. Mach. Learn. 110(11): 3059-3093 (2021) - [c161]Michal Koziarski, Colin Bellinger, Michal Wozniak
:
RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification. DSAA 2021: 1-2 - [c160]Pawel Zyblewski
, Michal Wozniak
:
Dynamic Ensemble Selection for Imbalanced Data Stream Classification with Limited Label Access. ICAISC (2) 2021: 217-226 - [c159]Sebastian Kula
, Rafal Kozik, Michal Choras, Michal Wozniak
:
Transformer Based Models in Fake News Detection. ICCS (4) 2021: 28-38 - [c158]Joanna Grzyb
, Mariusz Topolski
, Michal Wozniak
:
Application of Multi-objective Optimization to Feature Selection for a Difficult Data Classification Task. ICCS (3) 2021: 81-94 - [c157]Bogdan Gulowaty
, Michal Wozniak
:
Extracting Interpretable Decision Tree Ensemble from Random Forest. IJCNN 2021: 1-8 - [c156]Filip Guzy
, Michal Wozniak
, Bartosz Krawczyk:
Evaluating and Explaining Generative Adversarial Networks for Continual Learning under Concept Drift. ICDM (Workshops) 2021: 295-303 - [c155]Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang:
3rd Workshop on Learning with Imbalanced Domains: Preface. LIDTA@ECML/PKDD 2021: 1-6 - [e19]Nuno Moniz, Paula Branco, Luís Torgo, Nathalie Japkowicz, Michal Wozniak, Shuo Wang:
Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, LIDTA 2021, Bilbao, Spain, September 17, 2021. Proceedings of Machine Learning Research 154, PMLR 2021 [contents] - [i7]Michal Choras, Konstantinos P. Demestichas, Agata Gielczyk, Álvaro Herrero, Pawel Ksieniewicz, Konstantina Remoundou, Daniel Urda, Michal Wozniak:
Advanced Machine Learning Techniques for Fake News (Online Disinformation) Detection: A Systematic Mapping Study. CoRR abs/2101.01142 (2021) - [i6]Joanna Grzyb, Jakub Klikowski, Michal Wozniak:
Hellinger Distance Weighted Ensemble for Imbalanced Data Stream Classification. CoRR abs/2102.00266 (2021) - [i5]Michal Koziarski, Colin Bellinger, Michal Wozniak:
RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification. CoRR abs/2105.04009 (2021) - [i4]Jedrzej Kozal, Filip Guzy, Michal Wozniak:
Employing chunk size adaptation to overcome concept drift. CoRR abs/2110.12881 (2021) - [i3]Michal Wozniak, Pawel Zyblewski, Pawel Ksieniewicz:
Active Weighted Aging Ensemble for Drifted Data Stream Classification. CoRR abs/2112.10150 (2021) - 2020
- [j78]Amgad M. Mohammed
, Enrique Onieva
, Michal Wozniak
:
Training set selection and swarm intelligence for enhanced integration in multiple classifier systems. Appl. Soft Comput. 95: 106568 (2020) - [j77]Francisco Herrera
, Ajith Abraham
, Michal Wozniak
, Hilde Pérez
, Emilio Corchado:
Special Issue SOCO 2017: New trends in soft computing and its application in industrial and environmental problems. Neurocomputing 391: 280-281 (2020) - [j76]Michal Koziarski, Michal Wozniak
, Bartosz Krawczyk:
Combined Cleaning and Resampling algorithm for multi-class imbalanced data with label noise. Knowl. Based Syst. 204: 106223 (2020) - [j75]Francisco Javier de Cos Juez, Michal Wozniak
, Juan Albino Méndez, José Ramón Villar Flecha:
Special issue SOCO 2017: AI and ML applied to Health Sciences (MLHS). Neural Comput. Appl. 32(5): 1217-1218 (2020) - [j74]Pawel Zyblewski
, Michal Wozniak
:
Novel clustering-based pruning algorithms. Pattern Anal. Appl. 23(3): 1049-1058 (2020) - [j73]Manuel Graña
, Michal Wozniak
, Sebastián A. Ríos
, Javier de Lope
:
Computational Intelligence in Remote Sensing: An Editorial. Sensors 20(3): 633 (2020) - [j72]Bartosz Krawczyk
, Michal Koziarski, Michal Wozniak
:
Radial-Based Oversampling for Multiclass Imbalanced Data Classification. IEEE Trans. Neural Networks Learn. Syst. 31(8): 2818-2831 (2020) - [c154]Maciej Kinal, Michal Wozniak
:
Data Preprocessing for des-knn and Its Application to Imbalanced Medical Data Classification. ACIIDS (1) 2020: 589-599 - [c153]Szymon Wojciechowski
, Michal Wozniak
:
Employing Decision Templates to Imbalanced Data Classification. HAIS 2020: 120-131 - [c152]Pawel Zyblewski
, Pawel Ksieniewicz
, Michal Wozniak
:
Combination of Active and Random Labeling Strategy in the Non-stationary Data Stream Classification. ICAISC (1) 2020: 576-585 - [c151]Pawel Zyblewski
, Michal Wozniak
:
Dynamic Classifier Selection for Data with Skewed Class Distribution Using Imbalance Ratio and Euclidean Distance. ICCS (4) 2020: 59-73 - [c150]Jakub Klikowski
, Michal Wozniak
:
Employing One-Class SVM Classifier Ensemble for Imbalanced Data Stream Classification. ICCS (4) 2020: 117-127 - [c149]Michal Zák, Michal Wozniak
:
Performance Analysis of Binarization Strategies for Multi-class Imbalanced Data Classification. ICCS (4) 2020: 141-155 - [c148]Sebastian Kula
, Michal Choras, Rafal Kozik
, Pawel Ksieniewicz
, Michal Wozniak
:
Sentiment Analysis for Fake News Detection by Means of Neural Networks. ICCS (4) 2020: 653-666 - [c147]Filip Guzy
, Michal Wozniak
:
Employing dropout regularization to classify recurring drifted data streams. IJCNN 2020: 1-7 - [c146]Pawel Ksieniewicz
, Pawel Zyblewski
, Michal Choras, Rafal Kozik
, Agata Gielczyk, Michal Wozniak
:
Fake News Detection from Data Streams. IJCNN 2020: 1-8 - [c145]Nuño Basurto
, Michal Wozniak
, Carlos Cambra
, Álvaro Herrero
:
Advanced Oversampling for Improved Detection of Software Anomalies in a Robot. SOCO 2020: 3-12 - [e18]Robert Burduk, Marek Kurzynski, Michal Wozniak:
Progress in Computer Recognition Systems, International Conference on Computer Recognition Systems, CORES 2019, Polanica-Zdrój, Poland, 20-22 May, 2019. Advances in Intelligent Systems and Computing 977, Springer 2020, ISBN 978-3-030-19737-7 [contents] - [i2]Michal Koziarski, Michal Wozniak, Bartosz Krawczyk:
Combined Cleaning and Resampling Algorithm for Multi-Class Imbalanced Data with Label Noise. CoRR abs/2004.03406 (2020)
2010 – 2019
- 2019
- [j71]Marios M. Polycarpou, André Carlos Ponce de Leon Ferreira de Carvalho
, Jeng-Shyang Pan
, Michal Wozniak
, Héctor Quintián
, Emilio Corchado:
Special issue HAIS 2014: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems. Neurocomputing 326-327: 1-2 (2019) - [j70]José Ramón Cano, Pedro Antonio Gutiérrez
, Bartosz Krawczyk
, Michal Wozniak
, Salvador García
:
Monotonic classification: An overview on algorithms, performance measures and data sets. Neurocomputing 341: 168-182 (2019) - [j69]Michal Koziarski, Bartosz Krawczyk
, Michal Wozniak
:
Radial-Based oversampling for noisy imbalanced data classification. Neurocomputing 343: 19-33 (2019) - [j68]Pawel Ksieniewicz
, Michal Wozniak
, Boguslaw Cyganek
, Andrzej Kasprzak, Krzysztof Walkowiak
:
Data stream classification using active learned neural networks. Neurocomputing 353: 74-82 (2019) - [j67]Francisco Javier Martínez de Pisón Ascacíbar, Francisco Herrera
, Ajith Abraham
, Michal Wozniak
, Emilio Corchado:
Special issue on hybrid artificial intelligence systems from the HAIS 2017 conference - Editorial. Neurocomputing 354: 1-2 (2019) - [j66]Jakub Zgraja, Richard Hugh Moulton
, João Gama
, Andrzej Kasprzak, Michal Wozniak
:
Adapting ClusTree for more challenging data stream environments. J. Intell. Fuzzy Syst. 37(6): 7679-7688 (2019) - [j65]Bartosz Krawczyk
, Isaac Triguero
, Salvador García
, Michal Wozniak
, Francisco Herrera:
Instance reduction for one-class classification. Knowl. Inf. Syst. 59(3): 601-628 (2019) - [c144]Amgad M. Mohammed
, Enrique Onieva, Michal Wozniak
:
Vertical and Horizontal Data Partitioning for Classifier Ensemble Learning. CORES 2019: 86-97 - [c143]Jakub Klikowski
, Michal Wozniak
:
Multi Sampling Random Subspace Ensemble for Imbalanced Data Stream Classification. CORES 2019: 360-369 - [c142]Pawel Zyblewski
, Michal Wozniak
:
Clustering-Based Ensemble Pruning and Multistage Organization Using Diversity. HAIS 2019: 287-298 - [c141]Pawel Zyblewski
, Pawel Ksieniewicz
, Michal Wozniak
:
Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble. ICAISC (1) 2019: 626-635 - [c140]Bartosz Krawczyk
, Michal Wozniak
:
On the Role of Cost-Sensitive Learning in Imbalanced Data Oversampling. ICCS (3) 2019: 180-191 - [c139]Pawel Ksieniewicz
, Michal Choras, Rafal Kozik
, Michal Wozniak
:
Machine Learning Methods for Fake News Classification. IDEAL (2) 2019: 332-339 - [c138]Jakub Klikowski
, Pawel Ksieniewicz
, Michal Wozniak
:
A Genetic-Based Ensemble Learning Applied to Imbalanced Data Classification. IDEAL (2) 2019: 340-352 - [c137]Lin Lu, Michal Wozniak
:
Imbalanced Data Classification Using Weighted Voting Ensemble. IP&C 2019: 82-91 - [c136]Pawel Zyblewski
, Robert Sabourin, Michal Wozniak
:
Data Preprocessing and Dynamic Ensemble Selection for Imbalanced Data Stream Classification. PKDD/ECML Workshops (2) 2019: 367-379 - [c135]Barbara Bobowska, Jakub Klikowski
, Michal Wozniak
:
Imbalanced Data Stream Classification Using Hybrid Data Preprocessing. PKDD/ECML Workshops (2) 2019: 402-413 - 2018
- [j64]Ángel Arroyo
, Álvaro Herrero
, Verónica Tricio, Emilio Corchado, Michal Wozniak
:
Neural Models for Imputation of Missing Ozone Data in Air-Quality Datasets. Complex. 2018: 7238015:1-7238015:14 (2018) - [j63]Pawel Ksieniewicz
, Bartosz Krawczyk
, Michal Wozniak
:
Ensemble of Extreme Learning Machines with trained classifier combination and statistical features for hyperspectral data. Neurocomputing 271: 28-37 (2018) - [j62]Barbara Bobowska, Michal Choras, Michal Wozniak:
Advanced Analysis of Data Streams for Critical Infrastructures Protection and Cybersecurity. J. Univers. Comput. Sci. 24(5): 622-633 (2018) - [j61]Bartosz Krawczyk
, Mikel Galar
, Michal Wozniak
, Humberto Bustince
, Francisco Herrera
:
Dynamic ensemble selection for multi-class classification with one-class classifiers. Pattern Recognit. 83: 34-51 (2018) - [c134]Bartosz Krawczyk, Bernhard Pfahringer, Michal Wozniak
:
Combining active learning with concept drift detection for data stream mining. IEEE BigData 2018: 2239-2244 - [c133]Andrzej Lapinski, Bartosz Krawczyk, Pawel Ksieniewicz
, Michal Wozniak
:
An Empirical Insight Into Concept Drift Detectors Ensemble Strategies. CEC 2018: 1-8 - [c132]José A. Sáez
, Héctor Quintián
, Bartosz Krawczyk, Michal Wozniak
, Emilio Corchado:
Multi-class Imbalanced Data Oversampling for Vertebral Column Pathologies Classification. HAIS 2018: 131-142 - [c131]Jakub Zgraja, Michal Wozniak
:
Drifted Data Stream Clustering Based on ClusTree Algorithm. HAIS 2018: 338-349 - [c130]Pawel Ksieniewicz
, Michal Wozniak
:
Imbalanced Data Classification Based on Feature Selection Techniques. IDEAL (2) 2018: 296-303 - [c129]