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ORCIDMichal 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
![[0000-0001-7083-6792]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-7083-6792")
— 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
- 2025
[j106]Michal Panek, Ireneusz Jablonski, Michal Wozniak:
Automatic Performance Assessment - Step Toward Autonomous Mobile Network Management Systems. IEEE Commun. Mag. 63(4): 73-79 (2025)- [j105]Qian Jiang, Qianqian Wang, Shengfa Miao, Xin Jin, Shin-Jye Lee, Michal Wozniak, Shaowen Yao:
SR_ColorNet: Multi-path attention aggregated and mask enhanced network for the super resolution and colorization of panchromatic image. Expert Syst. Appl. 276: 127091 (2025) - [j104]Guorui Wang, Qian Jiang, Xin Jin, Michal Wozniak, Puming Wang, Shaowen Yao:
RTM-UAVDet: A Real-Time Multimodal UAV Detector. IEEE Trans. Aerosp. Electron. Syst. 61(1): 473-489 (2025) - [e22]Joaquín García-Alfaro, Harsha Kalutarage, Naoto Yanai, Rafal Kozik, Pawel Ksieniewicz, Michal Wozniak, Habtamu Abie, Silvio Ranise, Luca Verderame, Enrico Cambiaso, Rita Maria Ugarelli, Isabel Praça, Basel Katt, Sandeep Pirbhulal, Ankur Shukla, Marek Pawlicki, Michal Choras:
Computer Security. ESORICS 2024 International Workshops - SECAI, DisA, CPS4CIP, and SecAssure, Bydgoszcz, Poland, September 16-20, 2024, Revised Selected Papers, Part II. Lecture Notes in Computer Science 15264, Springer 2025, ISBN 978-3-031-82361-9 [contents] - 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) - [c185]Weronika Borek-Marciniec, Michal Wozniak:
MOO-Points - Distance-based Method for Multi-objective Optimization in the Imbalanced Data Classification Task. CISIM 2024: 319-331 - [c184]Jedrzej Kozal, Jan Wasilewski, Bartosz Krawczyk, Michal Wozniak:
Continual Learning with Weight Interpolation. CVPR Workshops 2024: 4187-4195 - [c183]Jakub Klikowski, Michal Wozniak:
Non-stationary Imbalanced Data Stream Classification with Weighted One-Class Ensemble. ICDM (Workshops) 2024: 205-212 - [c182]Weronika Wegier, Maciej Maczynski, Michal Wozniak:
Changing Lineup Classifier Ensemble for Drifting Imbalanced Data Streams. ICDM (Workshops) 2024: 238-245 - [c181]Jan Wasilewski, Michal Wozniak, Bartosz Krawczyk:
Combining Active Learning and Self-Labeling for Deep Learning from Data Streams. ICDM (Workshops) 2024: 842-849 - [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]Bartosz Krawczyk, Alberto Cano, Michal Wozniak:
Selecting local ensembles for multi-class imbalanced data classification. IJCNN 2018: 1-8 - [c128]Jakub Zgraja, João Gama, Michal Wozniak:
Active Learning by Clustering for Drifted Data Stream Classification. DMLE/IOTSTREAMING@PKDD/ECML 2018: 80-90 - [c127]Bartosz Krawczyk, Michal Wozniak:
Leveraging Ensemble Pruning for Imbalanced Data Classification. SMC 2018: 439-444 - [c126]Barbara Bobowska, Michal Wozniak:
Experimental Study on Modified Radial-Based Oversampling. SOCO-CISIS-ICEUTE 2018: 110-119 - [e17]Marek Kurzynski, Michal Wozniak, Robert Burduk:
Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, Polanica Zdroj, Poland, 22-24 May 2017. Advances in Intelligent Systems and Computing 578, 2018, ISBN 978-3-319-59161-2 [contents] - [e16]Sabu M. Thampi, Sri Krishnan, Juan Manuel Corchado Rodríguez, 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), September 13-16, 2017, Manipal, India. Advances in Intelligent Systems and Computing 678, Springer 2018, ISBN 978-3-319-67933-4 [contents] - [i1]José Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michal Wozniak, Salvador García:
Monotonic classification: an overview on algorithms, performance measures and data sets. CoRR abs/1811.07155 (2018) - 2017
- [j60]Michal Koziarski, Michal Wozniak:
CCR: A combined cleaning and resampling algorithm for imbalanced data classification. Int. J. Appl. Math. Comput. Sci. 27(4): 727-736 (2017) - [j59]Jerzy Kowalski, Bartosz Krawczyk, Michal Wozniak:
Fault diagnosis of marine 4-stroke diesel engines using a one-vs-one extreme learning ensemble. Eng. Appl. Artif. Intell. 57: 134-141 (2017) - [j58]Piotr Sobolewski, Michal Wozniak:
SCR: simulated concept recurrence - a non-supervised tool for dealing with shifting concept. Expert Syst. J. Knowl. Eng. 34(5) (2017) - [j57]Sergio Ramírez-Gallego, Bartosz Krawczyk, Salvador García, Michal Wozniak, Francisco Herrera:
A survey on data preprocessing for data stream mining: Current status and future directions. Neurocomputing 239: 39-57 (2017) - [j56]Bartosz Krawczyk, Leandro L. Minku, João Gama, Jerzy Stefanowski, Michal Wozniak:
Ensemble learning for data stream analysis: A survey. Inf. Fusion 37: 132-156 (2017) - [j55]Pawel Ksieniewicz, Manuel Graña, Michal Wozniak:
Paired feature multilayer ensemble - concept and evaluation of a classifier. J. Intell. Fuzzy Syst. 32(2): 1427-1436 (2017) - [j54]Boguslaw Cyganek, Michal Wozniak:
Tensor-Based Shot Boundary Detection in Video Streams. New Gener. Comput. 35(4): 311-340 (2017) - [j53]Michal Koziarski, Bartosz Krawczyk, Michal Wozniak:
The deterministic subspace method for constructing classifier ensembles. Pattern Anal. Appl. 20(4): 981-990 (2017) - [j52]Sergio Ramírez-Gallego, Bartosz Krawczyk, Salvador García, Michal Wozniak, José Manuel Benítez, Francisco Herrera:
Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark. IEEE Trans. Syst. Man Cybern. Syst. 47(10): 2727-2739 (2017) - [c125]Michal Choras, Michal Wozniak:
Concept Drift Analysis for Improving Anomaly Detection Systems in Cybersecurity. CECC 2017: 35-42 - [c124]Adam Merk, Piotr Cal, Michal Wozniak:
Distributed DBSCAN Algorithm - Concept and Experimental Evaluation. CORES 2017: 472-480 - [c123]Michal Koziarski, Bartosz Krawczyk, Michal Wozniak:
Radial-Based Approach to Imbalanced Data Oversampling. HAIS 2017: 318-327 - [c122]Boguslaw Cyganek, Michal Wozniak:
Efficient Real-Time Background Detection Based on the PCA Subspace Decomposition. ICAISC (1) 2017: 485-496 - [c121]Boguslaw Cyganek, Michal Wozniak:
A Tensor Framework for Data Stream Clustering and Compression. ICIAP (1) 2017: 163-173 - [c120]Bartosz Krawczyk, Michal Wozniak:
Online query by committee for active learning from drifting data streams. IJCNN 2017: 2120-2127 - [c119]Pawel Ksieniewicz, Michal Wozniak:
Dealing with the task of imbalanced, multidimensional data classification using ensembles of exposers. LIDTA@PKDD/ECML 2017: 164-175 - [c118]Boguslaw Cyganek, Michal Wozniak:
On Efficient Computation of Tensor Subspace Kernels for Multi-dimensional Data. VISIGRAPP (5: VISAPP) 2017: 378-383 - 2016
- [j51]Boguslaw Cyganek, Manuel Graña, Piotr Porwik, Michal Wozniak:
Intelligent Methods Applied to Health-Care Information Systems. Appl. Artif. Intell. 30(6): 495-496 (2016) - [j50]Boguslaw Cyganek, Manuel Graña, Bartosz Krawczyk, Andrzej Kasprzak, Piotr Porwik, Krzysztof Walkowiak, Michal Wozniak:
A Survey of Big Data Issues in Electronic Health Record Analysis. Appl. Artif. Intell. 30(6): 497-520 (2016) - [j49]José A. Sáez, Bartosz Krawczyk, Michal Wozniak:
On the Influence of Class Noise in Medical Data Classification: Treatment Using Noise Filtering Methods. Appl. Artif. Intell. 30(6): 590-609 (2016) - [j48]J. David Nuñez-Gonzalez, Borja Ayerdi, Manuel Graña, Michal Wozniak:
A new heuristic for influence maximization in social networks. Log. J. IGPL 24(6): 996-1014 (2016) - [j47]Emilio Corchado, Ajith Abraham, André C. P. L. F. de Carvalho, Michal Wozniak, Sung-Bae Cho, Héctor Quintián:
Recent advancements in hybrid artificial intelligence systems and its application to real-world problems. Neurocomputing 176: 1-2 (2016) - [j46]Bartosz Krawczyk, Michal Wozniak:
Untrained weighted classifier combination with embedded ensemble pruning. Neurocomputing 196: 14-22 (2016) - [j45]Bartosz Krawczyk, Michal Wozniak:
Dynamic classifier selection for one-class classification. Knowl. Based Syst. 107: 43-53 (2016) - [j44]José A. Sáez, Bartosz Krawczyk, Michal Wozniak:
Analyzing the oversampling of different classes and types of examples in multi-class imbalanced datasets. Pattern Recognit. 57: 164-178 (2016) - [c117]Michal Wozniak, Pawel Ksieniewicz, Boguslaw Cyganek, Krzysztof Walkowiak:
Ensembles of Heterogeneous Concept Drift Detectors - Experimental Study. CISIM 2016: 538-549 - [c116]Boguslaw Cyganek, Michal Wozniak:
On Robust Computation of Tensor Classifiers Based on the Higher-Order Singular Value Decomposition. CSOC (2) 2016: 193-201 - [c115]Michal Wozniak, Boguslaw Cyganek:
A First Attempt on Online Data Stream Classifier Using Context. DMBD 2016: 497-504 - [c114]Pawel Ksieniewicz, Bartosz Krawczyk, Michal Wozniak:
Ensemble of One-Dimensional Classifiers for Hyperspectral Image Analysis. DMBD 2016: 513-520 - [c113]Boguslaw Cyganek, Michal Wozniak:
Efficient Multidimensional Pattern Recognition in Kernel Tensor Subspaces. DMBD 2016: 529-537 - [c112]Michal Koziarski, Bartosz Krawczyk, Michal Wozniak:
Forming Classifier Ensembles with Deterministic Feature Subspaces. FedCSIS 2016: 89-95 - [c111]Bartosz Krawczyk, José A. Sáez, Michal Wozniak:
Tackling label noise with multi-class decomposition using fuzzy one-class support vector machines. FUZZ-IEEE 2016: 915-922 - [c110]Michal Wozniak, Boguslaw Cyganek, Andrzej Kasprzak, Pawel Ksieniewicz, Krzysztof Walkowiak:
Active Learning Classifier for Streaming Data. HAIS 2016: 186-197 - [c109]Boguslaw Cyganek, Michal Wozniak, Dariusz Jankowski:
Ensemble of HOSVD Generated Tensor Subspace Classifiers with Optimal Tensor Flattening Directions. HAIS 2016: 560-571 - [c108]Pedro López-García, Michal Wozniak, Enrique Onieva, Asier Perallos:
Hybrid Optimization Method Applied to Adaptive Splitting and Selection Algorithm. HAIS 2016: 742-750 - [c107]Michal Wozniak, Bartosz Krawczyk:
Workshop on Nonstationary Models of Pattern Recognition and Classifier Combinations. ICCS 2016: 1670 - [c106]Boguslaw Cyganek, Michal Wozniak:
Efficient Computation of the Tensor Chordal Kernels. ICCS 2016: 1702-1711 - [c105]Michal Wozniak, Pawel Ksieniewicz, Boguslaw Cyganek, Andrzej Kasprzak, Krzysztof Walkowiak:
Active Learning Classification of Drifted Streaming Data. ICCS 2016: 1724-1733 - [c104]Michal Wozniak, Pawel Ksieniewicz, Andrzej Kasprzak, Karol Puchala, Przemyslaw Ryba:
A First Attempt to Construct Effective Concept Drift Detector Ensembles. IP&C 2016: 27-34 - [e15]Robert Burduk, Konrad Jackowski, Marek Kurzynski, Michal Wozniak, Andrzej Zolnierek:
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, Wroclaw, Poland, 25-27 May 2015. Advances in Intelligent Systems and Computing 403, Springer 2016, ISBN 978-3-319-26225-3 [contents] - 2015
- [j43]Bartosz Krawczyk, Gerald Schaefer, Michal Wozniak:
A hybrid cost-sensitive ensemble for imbalanced breast thermogram classification. Artif. Intell. Medicine 65(3): 219-227 (2015) - [j42]Boguslaw Cyganek, Bartosz Krawczyk, Michal Wozniak:
Multidimensional data classification with chordal distance based kernel and Support Vector Machines. Eng. Appl. Artif. Intell. 46: 10-22 (2015) - [j41]Pawel Ksieniewicz, Dariusz Jankowski, Borja Ayerdi, Konrad Jackowski, Manuel Graña, Michal Wozniak:
A novel hyperspectral segmentation algorithm - concept and evaluation. Log. J. IGPL 23(1): 105-120 (2015) - [j40]Héctor Quintián, Emilio Corchado, André Carlos Ponce de Leon Ferreira de Carvalho, Ajith Abraham, Michal Wozniak, Manuel Graña, Sung-Bae Cho:
Editorial: Special issue HAIS12-IGPL. Log. J. IGPL 23(3): 355-358 (2015) - [j39]Bartosz Krawczyk, Jerzy Stefanowski, Michal Wozniak:
Data stream classification and big data analytics. Neurocomputing 150: 238-239 (2015) - [j38]Héctor Quintián, Emilio Corchado, Ajith Abraham, André C. P. L. F. de Carvalho, Michal Wozniak, Václav Snásel, Sung-Bae Cho:
Special issue HAIS 2012: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems. Neurocomputing 163: 1-2 (2015) - [j37]Bartosz Krawczyk, Michal Wozniak:
Incremental weighted one-class classifier for mining stationary data streams. J. Comput. Sci. 9: 19-25 (2015) - [j36]Boguslaw Cyganek, Michal Wozniak:
An Improved Vehicle Logo Recognition Using a Classifier Ensemble Based on Pattern Tensor Representation and Decomposition. New Gener. Comput. 33(4): 389-408 (2015) - [j35]Krzysztof Walkowiak, Michal Wozniak, Miroslaw Klinkowski, Wojciech Kmiecik:
Optical networks for cost-efficient and scalable provisioning of big data traffic. Int. J. Parallel Emergent Distributed Syst. 30(1): 15-28 (2015) - [j34]Bartosz Krawczyk, Michal Wozniak, Francisco Herrera:
On the usefulness of one-class classifier ensembles for decomposition of multi-class problems. Pattern Recognit. 48(12): 3969-3982 (2015) - [j33]Bartosz Krawczyk, Michal Wozniak:
One-class classifiers with incremental learning and forgetting for data streams with concept drift. Soft Comput. 19(12): 3387-3400 (2015) - [c103]Bartosz Krawczyk, Michal Wozniak:
Pruning Ensembles of One-Class Classifiers with X-means Clustering. ACIIDS (1) 2015: 484-493 - [c102]Bartosz Krawczyk, Michal Wozniak:
Pruning Ensembles with Cost Constraints. ACIIDS (1) 2015: 503-512 - [c101]Boguslaw Cyganek, Michal Wozniak:
Tensor based representation and analysis of the electronic healthcare record data. BIBM 2015: 1383-1390 - [c100]Boguslaw Cyganek, Manuel Graña, Andrzej Kasprzak, Krzysztof Walkowiak, Michal Wozniak:
Selected aspects of electronic health record analysis from the big data perspective. BIBM 2015: 1391-1396 - [c99]Pawel Ksieniewicz, Michal Wozniak:
Artificial Photoreceptors for Ensemble Classification of Hyperspectral Images. CORES 2015: 471-479 - [c98]Konrad Jackowski, Dariusz Jankowski, Héctor Quintián, Emilio Corchado, Michal Wozniak:
Modelling Dental Milling Process with Machine Learning-Based Regression Algorithms. CORES 2015: 701-711 - [c97]Bartosz Krawczyk, Michal Wozniak:
Reacting to different types of concept drift with adaptive and incremental one-class classifiers. CYBCONF 2015: 30-35 - [c96]Bartosz Krawczyk, Michal Wozniak:
Combining nearest neighbour classifiers based on small subsamples for big data analytics. CYBCONF 2015: 311-316 - [c95]Krzysztof Walkowiak, Róza Goscien, Michal Wozniak, Miroslaw Klinkowski:
Joint optimization of multicast and unicast flows in elastic optical networks. ICC 2015: 5186-5191 - [c94]Bartosz Krawczyk, Michal Wozniak:
Wagging for Combining Weighted One-class Support Vector Machines. ICCS 2015: 1565-1573 - [c93]Pawel Ksieniewicz, Manuel Graña, Michal Wozniak:
Blurred Labeling Segmentation Algorithm for Hyperspectral Images. ICCCI (2) 2015: 578-587 - [c92]Krzysztof Walkowiak, Andrzej Kasprzak, Michal Wozniak:
Algorithms for calculation of candidate trees for efficient multicasting in elastic optical networks. ICTON 2015: 1-4 - [c91]Bartosz Krawczyk, Michal Wozniak:
Cost-Sensitive Neural Network with ROC-Based Moving Threshold for Imbalanced Classification. IDEAL 2015: 45-52 - [c90]Krzysztof Walkowiak, Róza Goscien, Massimo Tornatore, Michal Wozniak:
Impact of fanout and transmission reach on performance of multicasting in Elastic Optical Networks. OFC 2015: 1-3 - [c89]Bartosz Krawczyk, Michal Wozniak:
Weighted Naïve Bayes Classifier with Forgetting for Drifting Data Streams. SMC 2015: 2147-2152 - [c88]Bartosz Krawczyk, Michal Wozniak:
Incremental One-Class Bagging for Streaming and Evolving Big Data. TrustCom/BigDataSE/ISPA (2) 2015: 193-198 - [e14]Jaime Lloret Mauri, Sabu M. Thampi, Michal Wozniak, Oge Marques, Dilip Krishnaswamy, Sartaj Sahni, Christian Callegari, Hideyuki Takagi, Zoran S. Bojkovic, Vinod M., Neeli R. Prasad, José M. Alcaraz Calero, Joal Rodrigues, Xinyu Que, Natarajan Meghanathan, Ravi S. Sandhu, Edward Au:
2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015, Kochi, India, August 10-13, 2015. IEEE 2015, ISBN 978-1-4799-8790-0 [contents] - [e13]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. Lecture Notes in Computer Science 9375, Springer 2015, ISBN 978-3-319-24833-2 [contents] - 2014
- [b1]Michal Wozniak:
Hybrid Classifiers - Methods of Data, Knowledge, and Classifier Combination. Studies in Computational Intelligence 519, Springer 2014, ISBN 978-3-642-40996-7, pp. 1-180 - [j32]Bartosz Krawczyk, Michal Wozniak:
Influence of Distance Measures on the Effectiveness of One-Class Classification Ensembles. Appl. Artif. Intell. 28(3): 258-271 (2014) - [j31]Bartosz Krawczyk, Michal Wozniak, Gerald Schaefer:
Cost-sensitive decision tree ensembles for effective imbalanced classification. Appl. Soft Comput. 14: 554-562 (2014) - [j30]Krzysztof Walkowiak, Róza Goscien, Miroslaw Klinkowski, Michal Wozniak:
Optimization of Multicast Traffic in Elastic Optical Networks With Distance-Adaptive Transmission. IEEE Commun. Lett. 18(12): 2117-2120 (2014) - [j29]Konrad Jackowski, Bartosz Krawczyk, Michal Wozniak:
Improved Adaptive Splitting and Selection: the Hybrid Training Method of a Classifier Based on a Feature Space Partitioning. Int. J. Neural Syst. 24(3) (2014) - [j28]Emilio Corchado, Michal Wozniak, Ajith Abraham, André Carlos Ponce de Leon Ferreira de Carvalho, Václav Snásel:
Recent trends in intelligent data analysis. Neurocomputing 126: 1-2 (2014) - [j27]Bartosz Krawczyk, Michal Wozniak:
Diversity measures for one-class classifier ensembles. Neurocomputing 126: 36-44 (2014) - [j26]Michal Wozniak, Emilio S. Corchado Rodríguez, Manuel Graña Romay:
Guest Editorial: Hybrid intelligent fusion systems. Inf. Fusion 16: 2 (2014) - [j25]Michal Wozniak, Manuel Graña, Emilio Corchado:
A survey of multiple classifier systems as hybrid systems. Inf. Fusion 16: 3-17 (2014) - [j24]Bartosz Krawczyk, Michal Wozniak, Boguslaw Cyganek:
Clustering-based ensembles for one-class classification. Inf. Sci. 264: 182-195 (2014) - [c87]Michal Wozniak, Piotr Cal, Boguslaw Cyganek:
The Influence of a Classifiers' Diversity on the Quality of Weighted Aging Ensemble. ACIIDS (2) 2014: 90-99 - [c86]Boguslaw Cyganek, Michal Wozniak:
Vehicle Logo Recognition with an Ensemble of Classifiers. ACIIDS (2) 2014: 117-126 - [c85]Bartosz Krawczyk, Michal Wozniak:
Optimization Algorithms for One-Class Classification Ensemble Pruning. ACIIDS (2) 2014: 127-136 - [c84]Bartosz Krawczyk, Isaac Triguero, Salvador García, Michal Wozniak, Francisco Herrera:
A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification. IEEE Congress on Evolutionary Computation 2014: 747-753 - [c83]Bartosz Krawczyk, Lukasz Jelen, Michal Wozniak:
Adaptive Splitting and Selection ensemble for breast cancer malignancy grading. CICARE 2014: 104-111 - [c82]Bartosz Krawczyk, Michal Wozniak, Francisco Herrera:
Weighted one-class classification for different types of minority class examples in imbalanced data. CIDM 2014: 337-344 - [c81]Bartosz Krawczyk, Michal Wozniak:
Experiments on simultaneous combination rule training and ensemble pruning algorithm. CIEL 2014: 1-6 - [c80]Bartosz Krawczyk, Pawel Ksieniewicz, Michal Wozniak:
Hyperspectral Image Analysis Based on Color Channels and Ensemble Classifier. HAIS 2014: 274-284 - [c79]Bartosz Krawczyk, Michal Wozniak, Boguslaw Cyganek:
Clustering-Based Ensemble of One-Class Classifiers for Hyperspectral Image Segmentation. HAIS 2014: 678-688 - [c78]Bartosz Krawczyk, Michal Wozniak, Boguslaw Cyganek:
Weighted One-Class Classifier Ensemble Based on Fuzzy Feature Space Partitioning. ICPR 2014: 2838-2843 - [c77]Bartosz Krawczyk, Michal Wozniak:
Hypertension Type Classification Using Hierarchical Ensemble of One-Class Classifiers for Imbalanced Data. ICT Innovations 2014: 341-349 - [c76]Bartosz Krawczyk, Michal Wozniak:
Handling Label Noise in Microarray Classification with One-Class Classifier Ensemble. ICT Innovations 2014: 351-359 - [c75]Piotr Sobolewski, Michal Wozniak:
Identifying Features with Concept Drift in Multidimensional Data Using Statistical Tests. AIAI 2014: 405-413 - [c74]Bartosz Krawczyk, Michal Wozniak:
New untrained aggregation methods for classifier combination. IJCNN 2014: 617-622 - [c73]Bartosz Krawczyk, Michal Wozniak:
Untrained Method for Ensemble Pruning and Weighted Combination. ISNN 2014: 358-365 - [c72]Bartosz Krawczyk, Michal Wozniak:
One-Class Classification Ensemble with Dynamic Classifier Selection. ISNN 2014: 542-549 - [c71]Bartosz Krawczyk, Pawel Ksieniewicz, Michal Wozniak:
Hyperspectral Image Analysis Based on Quad Tree Decomposition. SOCO-CISIS-ICEUTE 2014: 105-113 - [c70]Bartosz Krawczyk, Michal Wozniak:
Evolutionary Cost-Sensitive Ensemble for Malware Detection. SOCO-CISIS-ICEUTE 2014: 433-442 - [e12]Marios M. Polycarpou, André Carlos Ponce de Leon Ferreira de Carvalho, Jeng-Shyang Pan, Michal Wozniak, Héctor Quintián, Emilio Corchado:
Hybrid Artificial Intelligence Systems - 9th International Conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014. Proceedings. Lecture Notes in Computer Science 8480, Springer 2014, ISBN 978-3-319-07616-4 [contents] - 2013
- [j23]Krzysztof Walkowiak, Michal Wozniak:
Guest Editorial: Intelligent Network Security and Survivability. Cybern. Syst. 44(6-7): 467-468 (2013) - [j22]Konrad Jackowski, Bartosz Krawczyk, Michal Wozniak:
Application of Adaptive Splitting and Selection Classifier to the Spam Filtering Problem. Cybern. Syst. 44(6-7): 569-588 (2013) - [j21]Sanguthevar Rajasekaran, Michal Wozniak:
Special section on invited papers from NetCoM-2009. Future Gener. Comput. Syst. 29(1): 241 (2013) - [j20]Piotr Sobolewski, Michal Wozniak:
Concept Drift Detection and Model Selection with Simulated Recurrence and Ensembles of Statistical Detectors. J. Univers. Comput. Sci. 19(4): 462-483 (2013) - [j19]Manuel Graña, Michal Wozniak, Nima Hatami:
Special issue on "Innovative knowledge based techniques in pattern recognition". Pattern Recognit. Lett. 34(14): 1567-1568 (2013) - [j18]Pawel Filipczuk, Bartosz Krawczyk, Michal Wozniak:
Classifier ensemble for an effective cytological image analysis. Pattern Recognit. Lett. 34(14): 1748-1757 (2013) - [j17]Tomasz Orczyk, Piotr Porwik, Bartosz Krawczyk, Michal Wozniak, Joanna Musialik, Barbara Blonska-Fajfrowska:
E-medical diagnosis support system for non-invasive liver fibrosis recognition. Stud. Inform. Univ. 11(3): 1-17 (2013) - [c69]Bartosz Krawczyk, Michal Wozniak, Tomasz Orczyk, Piotr Porwik:
Adaptive Splitting and Selection Method for Noninvasive Recognition of Liver Fibrosis Stage. ACIIDS (2) 2013: 215-224 - [c68]Piotr Sobolewski, Michal Wozniak:
LDCnet: Minimizing the cost of supervision for various types of concept drift. CIDUE 2013: 68-75 - [c67]Bartosz Krawczyk, Michal Wozniak:
Accuracy and diversity in classifier selection for one-class classification ensembles. CIEL 2013: 46-51 - [c66]Bartosz Krawczyk, Michal Wozniak:
On diversity measures for fuzzy one-class classifier ensembles. CIEL 2013: 60-65 - [c65]Bartosz Krawczyk, Gerald Schaefer, Michal Wozniak:
Combining one-class classifiers for imbalanced classification of breast thermogram features. CIMI 2013: 36-41 - [c64]Michal Wozniak:
Application of Combined Classifiers to Data Stream Classification. CISIM 2013: 13-23 - [c63]Bartosz Krawczyk, Michal Wozniak:
Incremental Learning and Forgetting in One-Class Classifiers for Data Streams. CORES 2013: 319-328 - [c62]Piotr Sobolewski, Michal Wozniak:
Comparable Study of Statistical Tests for Virtual Concept Drift Detection. CORES 2013: 329-337 - [c61]Bartosz Krawczyk, Michal Wozniak, Tomasz Orczyk, Piotr Porwik:
Cost Sensitive Hierarchical Classifiers for Non-invasive Recognition of Liver Fibrosis Stage. CORES 2013: 639-647 - [c60]Piotr Cal, Michal Wozniak:
Data Preprocessing with GPU for DBSCAN Algorithm. CORES 2013: 793-801 - [c59]Piotr Cal, Michal Wozniak:
Parallel Hoeffding Decision Tree for Streaming Data. DCAI 2013: 27-35 - [c58]Boguslaw Cyganek, Michal Wozniak:
A framework for image analysis and object recognition in industrial applications with the ensemble of classifiers. ETFA 2013: 1-4 - [c57]Michal Wozniak, Andrzej Kasprzak, Piotr Cal:
Weighted Aging Classifier Ensemble for the Incremental Drifted Data Streams. FQAS 2013: 579-588 - [c56]Bartosz Krawczyk, Michal Wozniak:
Distributed Privacy-Preserving Minimal Distance Classification. HAIS 2013: 462-471 - [c55]Bartosz Krawczyk, Michal Wozniak:
Pruning One-Class Classifier Ensembles by Combining Sphere Intersection and Consistency Measures. ICAISC (1) 2013: 426-436 - [c54]Michal Wozniak, Piotr Cal:
Weighed Aging Ensemble of Heterogenous Classifiers for Incremental Drift Classification. MICAI (2) 2013: 256-266 - [c53]Bartosz Krawczyk, Gerald Schaefer, Michal Wozniak:
A cost-sensitive ensemble classifier for breast cancer classification. SACI 2013: 427-430 - [e11]Robert Burduk, Konrad Jackowski, Marek Kurzynski, Michal Wozniak, Andrzej Zolnierek:
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, Milkow, Poland, 27-29 May 2013. Advances in Intelligent Systems and Computing 226, Springer 2013, ISBN 978-3-319-00968-1 [contents] - [e10]Jeng-Shyang Pan, Marios M. Polycarpou, Michal Wozniak, André C. P. L. F. de Carvalho, Héctor Quintián-Pardo, Emilio Corchado:
Hybrid Artificial Intelligent Systems - 8th International Conference, HAIS 2013, Salamanca, Spain, September 11-13, 2013. Proceedings. Lecture Notes in Computer Science 8073, Springer 2013, ISBN 978-3-642-40845-8 [contents] - 2012
- [j16]Michal Wozniak, Bartosz Krawczyk:
Combined classifier based on feature space partitioning. Int. J. Appl. Math. Comput. Sci. 22(4): 855-866 (2012) - [j15]Marek Kurzynski, Michal Wozniak:
Combining classifiers under probabilistic models: experimental comparative analysis of methods. Expert Syst. J. Knowl. Eng. 29(4): 374-393 (2012) - [j14]Manuel Graña, Emilio Corchado, Michal Wozniak:
Special issue: HAIS 2010. Log. J. IGPL 20(3): 533-535 (2012) - [j13]Bartosz Kurlej, Michal Wozniak:
Active learning approach to concept drift problem. Log. J. IGPL 20(3): 550-559 (2012) - [j12]Tomasz Kacprzak, Krzysztof Walkowiak, Michal Wozniak:
Optimization of overlay distributed computing systems for multiple classifier system - heuristic approach. Log. J. IGPL 20(4): 677-688 (2012) - [j11]Emilio Corchado, Manuel Graña, Michal Wozniak:
Editorial: New trends and applications on hybrid artificial intelligence systems. Neurocomputing 75(1): 61-63 (2012) - [j10]Tomasz Wilk, Michal Wozniak:
Soft computing methods applied to combination of one-class classifiers. Neurocomputing 75(1): 185-193 (2012) - [j9]Manuel Graña, Emilio Corchado, Michal Wozniak:
Special Issue on Hybrid Artificial Intelligent Systems. J. Math. Imaging Vis. 42(2-3): 101-102 (2012) - [c52]Piotr Sobolewski, Michal Wozniak:
Data with Shifting Concept Classification Using Simulated Recurrence. ACIIDS (1) 2012: 403-412 - [c51]Piotr Sobolewski, Michal Wozniak:
Enhancing Concept Drift Detection with Simulated Recurrence. ADBIS Workshops 2012: 153-162 - [c50]Bartosz Krawczyk, Gerald Schaefer, Michal Wozniak:
Breast thermogram analysis using a cost-sensitive multiple classifier system. BHI 2012: 507-510 - [c49]Bartosz Krawczyk, Michal Wozniak:
Experiments on distance measures for combining one-class classifiers. FedCSIS 2012: 89-92 - [c48]Piotr Cal, Michal Wozniak:
Drift Detection and Model Selection Algorithms: Concept and Experimental Evaluation. HAIS (2) 2012: 558-568 - [c47]Bartosz Krawczyk, Michal Wozniak:
Combining Diverse One-Class Classifiers. HAIS (2) 2012: 590-601 - [c46]Boguslaw Cyganek, Michal Wozniak:
Pixel-Based Object Detection and Tracking with Ensemble of Support Vector Machines and Extended Structural Tensor. ICCCI (1) 2012: 104-113 - [c45]Tomasz Wilk, Michal Wozniak:
Comparison of Fuzzy Combiner Training Methods. ICCCI (1) 2012: 166-173 - [c44]Bartosz Krawczyk, Pawel Filipczuk, Michal Wozniak:
Adaptive Splitting and Selection Algorithm for Classification of Breast Cytology Images. ICCCI (1) 2012: 475-484 - [c43]Konrad Gajewski, Michal Wozniak:
Performance Evaluation of Hybrid Implementation of Support Vector Machine. IDEAL 2012: 779-786 - [c42]Konrad Jackowski, Bartosz Krawczyk, Michal Wozniak:
Cost-Sensitive Splitting and Selection Method for Medical Decision Support System. IDEAL 2012: 850-857 - [c41]Bartosz Krawczyk, Michal Wozniak:
Analysis of Diversity Assurance Methods for Combined Classifiers. IP&C 2012: 179-186 - [c40]Marcin Zmyslony, Bartosz Krawczyk, Michal Wozniak:
Combined Classifiers with Neural Fuser for Spam Detection. CISIS/ICEUTE/SOCO Special Sessions 2012: 245-252 - [c39]Karol Wrótniak, Michal Wozniak:
Combined Bayesian Classifiers Applied to Spam Filtering Problem. CISIS/ICEUTE/SOCO Special Sessions 2012: 253-260 - [e9]Natarajan Meghanathan, Michal Wozniak:
The Second International Conference on Computational Science, Engineering and Information Technology, CCSEIT '12, Coimbatore, India, October 26-28, 2012. ACM 2012, ISBN 978-1-4503-1310-0 [contents] - [e8]Emilio Corchado, Václav Snásel, Ajith Abraham, Michal Wozniak, Manuel Graña, Sung-Bae Cho:
Hybrid Artificial Intelligent Systems - 7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30th, 2012. Proceedings, Part I. Lecture Notes in Computer Science 7208, Springer 2012, ISBN 978-3-642-28941-5 [contents] - [e7]Emilio Corchado, Václav Snásel, Ajith Abraham, Michal Wozniak, Manuel Graña, Sung-Bae Cho:
Hybrid Artificial Intelligent Systems - 7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30th, 2012. Proceedings, Part II. Lecture Notes in Computer Science 7209, Springer 2012, ISBN 978-3-642-28930-9 [contents] - 2011
- [j8]Emilio Corchado, Michal Wozniak:
Editorial: Neuro-symbolic Algorithms and Models for Bio-inspired Systems. Log. J. IGPL 19(2): 289-292 (2011) - [j7]Michal Przewozniczek, Krzysztof Walkowiak, Michal Wozniak:
Optimizing distributed computing systems for k-nearest neighbours classifiers - evolutionary approach. Log. J. IGPL 19(2): 357-372 (2011) - [j6]Michal Wozniak:
A hybrid decision tree training method using data streams. Knowl. Inf. Syst. 29(2): 335-347 (2011) - [c38]Michal Wozniak, Marcin Zmyslony:
Combining Classifier with a Fuser Implemented as a One Layer Perceptron. ACIIDS (2) 2011: 282-291 - [c37]Tomasz Kajdanowicz, Michal Wozniak, Przemyslaw Kazienko:
Multiple Classifier Method for Structured Output Prediction Based on Error Correcting Output Codes. ACIIDS (2) 2011: 333-342 - [c36]Michal Wozniak:
Knowledge Source Confidence Measure Applied to a Rule-Based Recognition System. ACIIDS (1) 2011: 425-434 - [c35]Tomasz Wilk, Michal Wozniak:
Complexity and Multithreaded Implementation Analysis of One Class-Classifiers Fuzzy Combiner. HAIS (2) 2011: 237-244 - [c34]Piotr Sobolewski, Michal Wozniak:
Artificial Recurrence for Classification of Streaming Data with Concept Shift. ICAIS 2011: 76-87 - [c33]Bartosz Kurlej, Michal Wozniak:
Learning Curve in Concept Drift While Using Active Learning Paradigm. ICAIS 2011: 98-106 - [c32]Krzysztof Walkowiak, Szymon Sztajer, Michal Wozniak:
Decentralized Distributed Computing System for Privacy-Preserving Combined Classifiers - Modeling and Optimization. ICCSA (1) 2011: 512-525 - [c31]Bartosz Krawczyk, Michal Wozniak:
Designing Cost-Sensitive Ensemble - Genetic Approach. IP&C 2011: 227-234 - [p5]Bartosz Krawczyk, Michal Wozniak:
Privacy Preserving Models of k-NN Algorithm. Computer Recognition Systems 4 2011: 207-217 - [e6]Emilio Corchado, Marek Kurzynski, Michal Wozniak:
Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Wroclaw, Poland, May 23-25, 2011, Proceedings, Part I. Lecture Notes in Computer Science 6678, Springer 2011, ISBN 978-3-642-21218-5 [contents] - [e5]Emilio Corchado, Marek Kurzynski, Michal Wozniak:
Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Wroclaw, Poland, May 23-25, 2011, Proceedings, Part II. Lecture Notes in Computer Science 6679, Springer 2011, ISBN 978-3-642-21221-5 [contents] - [e4]Robert Burduk, Marek Kurzynski, Michal Wozniak, Andrzej Zolnierek:
Computer Recognition Systems 4. Advances in Intelligent and Soft Computing 95, Springer 2011, ISBN 978-3-642-20319-0 [contents] - 2010
- [j5]Michal Wozniak, Elif Derya Übeyli:
Computer recognition systems. Expert Syst. J. Knowl. Eng. 27(1): 3-5 (2010) - [j4]Konrad Jackowski, Michal Wozniak:
Method of classifier selection using the genetic approach. Expert Syst. J. Knowl. Eng. 27(2): 114-128 (2010) - [j3]Wojciech Penar, Michal Wozniak:
Cost-sensitive methods of constructing hierarchical classifiers. Expert Syst. J. Knowl. Eng. 27(3): 146-155 (2010) - [c30]Michal Wozniak, Marcin Zmyslony:
Chosen problems of designing effective Multiple Classifier Systems. CISIM 2010: 42-47 - [c29]Michal Wozniak, Marcin Zmyslony:
Designing Fusers on the Basis of Discriminants - Evolutionary and Neural Methods of Training. HAIS (1) 2010: 590-597 - [c28]Michal Wozniak, Marcin Zmyslony:
Fusion Methods for the Two Class Recognition Problem - Analytical and Experimental Results. IP&C 2010: 135-142 - [c27]Michal Wozniak, Marcin Zmyslony:
Designing combining classifier with trained fuser - Analytical and experimental evaluation. ISDA 2010: 154-159 - [c26]Bartosz Kurlej, Piotr Sobolewski, Michal Wozniak:
Simple combining classifiers for a special case of incremental concept drift problem. ISDA 2010: 160-165 - [c25]Tomasz Kacprzak, Krzysztof Walkowiak, Michal Wozniak:
GRASP Algorithm for Optimization of Grids for Multiple Classifier System. SOCO 2010: 137-144
2000 – 2009
- 2009
- [j2]Konrad Jackowski, Michal Wozniak:
Algorithm of designing compound recognition system on the basis of combining classifiers with simultaneous splitting feature space into competence areas. Pattern Anal. Appl. 12(4): 415-425 (2009) - [c24]Konrad Jackowski, Michal Wozniak:
Adaptive Splitting and Selection Method of Classifier Ensemble Building. HAIS 2009: 525-532 - [c23]Michal Wozniak, Konrad Jackowski:
Some Remarks on Chosen Methods of Classifier Fusion Based on Weighted Voting. HAIS 2009: 541-548 - [c22]Krzysztof Walkowiak, Michal Wozniak:
Decision Tree Induction Methods for Distributed Environment. ICMMI 2009: 201-208 - [c21]Robert Burduk, Michal Wozniak:
Bayes Multistage Classifier and Boosted C4.5 Algorithm in Acute Abdominal Pain Diagnosis. ICMMI 2009: 371-378 - [c20]Michal Wozniak:
Modification of Nested Hyperrectangle Exemplar as a Proposition of Information Fusion Method. IDEAL 2009: 687-694 - [c19]Krzysztof Walkowiak, Michal Wozniak:
Modeling of Network Computing Systems for Decision Tree Induction Tasks. IDEAL 2009: 759-766 - [c18]Michal Wozniak:
Evolutionary Approach to Produce Classifier Ensemble based on Weighted Voting. NaBIC 2009: 648-653 - [p4]Mariusz Koziol, Michal Wozniak:
Multivariate Decision Trees vs. Univariate Ones. Computer Recognition Systems 3 2009: 275-284 - [e3]Marek Kurzynski, Michal Wozniak:
Computer Recognition Systems 3. Advances in Intelligent and Soft Computing 57, Springer 2009, ISBN 978-3-540-93904-7 [contents] - 2008
- [c17]Michal Wozniak, Konrad Jackowski:
Fusers Based on Classifier Response and Discriminant Function - Comparative Study. HAIS 2008: 361-368 - [c16]Michal Wozniak:
Experiments with Boosted Decision Tree Classifiers. ISDA (1) 2008: 552-557 - [c15]Michal Wozniak:
Classifier Fusion Based on Weighted Voting - Analytical and Experimental Results. ISDA (2) 2008: 687-692 - [p3]Michal Wozniak:
Experiments with Trained and Untrained Fusers. Innovations in Hybrid Intelligent Systems 2008: 144-150 - [p2]Wojciech Penar, Michal Wozniak:
Experiments on Classifiers Obtained Via Decision Tree Induction Methods with Different Attribute Acquisition Cost Limit. Computer Recognition Systems 2 2008: 371-377 - [p1]Michal Wozniak:
Experiments on Linear Combiners. Information Technologies in Biomedicine 2008: 445-452 - [e2]Marek Kurzynski, Edward Puchala, Michal Wozniak, Andrzej Zolnierek:
Computer Recognition Systems 2. Advances in Soft Computing 45, Springer 2008, ISBN 978-3-540-75174-8 [contents] - 2006
- [j1]Michal Wozniak:
Proposition of common classifier construction for pattern recognition with context task. Knowl. Based Syst. 19(8): 617-624 (2006) - [c14]Michal Wozniak:
Adaptive Weights Calculation Procedure for Weighted Voting - Idea and Experimental Results. ICDM (Posters) 2006: 19-29 - [c13]Michal Wozniak:
Two-Stage Classifier for Diagnosis of Hypertension Type. ISBMDA 2006: 433-440 - 2005
- [c12]Michal Wozniak:
Some Propositions of Information Fusion for Pattern Recognition with Context Task. Australian Conference on Artificial Intelligence 2005: 1258-1261 - [c11]Wojciech Penar, Michal Wozniak:
Machine Learning Methods for Dialysis Therapy Decision Problem - Comparative Study. CORES 2005: 653-659 - [c10]Michal Wozniak:
Three Classifiers for Acute Abdominal Pain Diagnosis - Comparative Study. International Conference on Computational Science (3) 2005: 929-932 - [c9]Michal Wozniak:
Boosted Decision Trees for Diagnosis Type of Hypertension. ISBMDA 2005: 223-230 - [c8]Michal Wozniak:
Markov Chains Pattern Recognition Approach Applied to the Medical Diagnosis Tasks. ISBMDA 2005: 231-241 - [e1]Marek Kurzynski, Edward Puchala, Michal Wozniak, Andrzej Zolnierek:
Computer Recognition Systems, Proceedings of the 4th International Conference on Computer Recognition Systems, CORES'05, May 22-25, 2005, Rydzyna Castle, Poland. Advances in Soft Computing 30, Springer 2005, ISBN 978-3-540-25054-8 [contents] - 2004
- [c7]Michal Wozniak:
Proposition of Boosting Algorithm for Probabilistic Decision Support System. International Conference on Computational Science 2004: 675-678 - [c6]Michal Wozniak:
Information Fusion for Probabilistic Reasoning and Its Application to the Medical Decision Support Systems. ICCSA (3) 2004: 593-601 - 2003
- [c5]Michal Wozniak:
Application of the Confidence Measure in Knowledge Acquisition Process. International Conference on Computational Science 2003: 635-643 - [c4]Michal Wozniak:
Case- and Rule-Based Algorithms for the Contextual Pattern Recognition Problem. ICCSA (1) 2003: 89-98 - [c3]Michal Wozniak:
Proposition of the Quality Measure for the Probabilistic Decision Support System. IEA/AIE 2003: 686-691 - [c2]Michal Wozniak:
Concept of the Knowledge Quality Management for Rule-Based Decision System. IIS 2003: 575-579
1990 – 1999
- 1995
- [c1]Marek Kurzynski, Michal Wozniak, Alexandra Blinowska:
Diagnosis of Human Acid-Base Balance States via Combined Pattern Recognition of Markov Chains. AIME 1995: 405-406
Coauthor Index
André C. P. L. F. de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
Emilio Corchado
aka: Emilio S. Corchado Rodríguez
aka: Emilio S. Corchado Rodríguez
Manuel Graña
aka: Manuel Graña Romay
aka: Manuel Graña Romay
[c184] [c181] [i16] [c156] [j76] [j72] [i2] [j70] [j69] [j65] [c140] [j63] [j61] [c134] [c133] [c132] [c129] [c127] [i1] [j59] [j57] [j56] [j53] [j52] [c123] [c120] [j50] [j49] [j46] [j45] [j44] [c114] [c112] [c111] [c107] [j43] [j42] [j39] [j37] [j34] [j33] [c103] [c102] [c97] [c96] [c94] [c91] [c89] [c88] [j32] [j31] [j29] [j27] [j24] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [c74] [c73] [c72] [c71] [c70] [j22] [j18] [j17] [c69] [c67] [c66] [c65] [c63] [c61] [c56] [c55] [c53] [j16] [c50] [c49] [c47] [c44] [c42] [c41] [c40] [c31] [p5]
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