Bartosz Krawczyk
Orcid: 0000-0002-9774-0106
According to our database1,
Bartosz Krawczyk
authored at least 174 papers
between 2011 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
Adversarial concept drift detection under poisoning attacks for robust data stream mining.
Mach. Learn., October, 2023
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
2022
Instance exploitation for learning temporary concepts from sparsely labeled drifting data streams.
Pattern Recognit., 2022
ROSE: robust online self-adjusting ensemble for continual learning on imbalanced drifting data streams.
Mach. Learn., 2022
Towards A Holistic View of Bias in Machine Learning: Bridging Algorithmic Fairness and Imbalanced Learning.
CoRR, 2022
A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework.
CoRR, 2022
2021
Mach. Learn., 2021
Self-adjusting k nearest neighbors for continual learning from multi-label drifting data streams.
Neurocomputing, 2021
Mining Drifting Data Streams on a Budget: Combining Active Learning with Self-Labeling.
CoRR, 2021
Imbalanced Big Data Oversampling: Taxonomy, Algorithms, Software, Guidelines and Future Directions.
CoRR, 2021
Bioinform., 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Evaluating and Explaining Generative Adversarial Networks for Continual Learning under Concept Drift.
Proceedings of the 2021 International Conference on Data Mining, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Combined Cleaning and Resampling algorithm for multi-class imbalanced data with label noise.
Knowl. Based Syst., 2020
A Machine Learning method for relabeling arbitrary DICOM structure sets to TG-263 defined labels.
J. Biomed. Informatics, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
ACM Trans. Knowl. Discov. Data, 2019
Evolving rule-based classifiers with genetic programming on GPUs for drifting data streams.
Pattern Recognit., 2019
Speeding up <i>k</i>-Nearest Neighbors classifier for large-scale multi-label learning on GPUs.
Neurocomputing, 2019
Neurocomputing, 2019
Monotonic classification: An overview on algorithms, performance measures and data sets.
Neurocomputing, 2019
Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation.
Expert Syst. Appl., 2019
Uniqueness of Medical Data Mining: How the new technologies and data they generate are transforming medicine.
CoRR, 2019
Addressing the Overlapping Data Problem in Classification Using the One-vs-One Decomposition Strategy.
IEEE Access, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Computational Science - ICCS 2019, 2019
Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytics, 2019
Bagging Using Instance-Level Difficulty for Multi-Class Imbalanced Big Data Classification on Spark.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Local ensemble learning from imbalanced and noisy data for word sense disambiguation.
Pattern Recognit., 2018
Dynamic ensemble selection for multi-class classification with one-class classifiers.
Pattern Recognit., 2018
Ensemble of Extreme Learning Machines with trained classifier combination and statistical features for hyperspectral data.
Neurocomputing, 2018
Online ensemble learning with abstaining classifiers for drifting and noisy data streams.
Appl. Soft Comput., 2018
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme Imbalance.
Proceedings of the IEEE International Conference on Data Mining, 2018
Multi-class Imbalanced Data Oversampling for Vertebral Column Pathologies Classification.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
Addressing Local Class Imbalance in Balanced Datasets with Dynamic Impurity Decision Trees.
Proceedings of the Discovery Science - 21st International Conference, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Learning Classification Rules with Differential Evolution for High-Speed Data Stream Mining on GPU s.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
IEEE Trans. Syst. Man Cybern. Syst., 2017
Pattern Anal. Appl., 2017
Pattern Anal. Appl., 2017
Active and adaptive ensemble learning for online activity recognition from data streams.
Knowl. Based Syst., 2017
A survey on data preprocessing for data stream mining: Current status and future directions.
Neurocomputing, 2017
Fault diagnosis of marine 4-stroke diesel engines using a one-vs-one extreme learning ensemble.
Eng. Appl. Artif. Intell., 2017
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication, 2017
Sentiment Classification from Multi-class Imbalanced Twitter Data Using Binarization.
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017
Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, 2017
2016
Analyzing the oversampling of different classes and types of examples in multi-class imbalanced datasets.
Pattern Recognit., 2016
Prog. Artif. Intell., 2016
Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data.
Knowl. Based Syst., 2016
Neurocomputing, 2016
Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy.
Appl. Soft Comput., 2016
On the Influence of Class Noise in Medical Data Classification: Treatment Using Noise Filtering Methods.
Appl. Artif. Intell., 2016
Appl. Artif. Intell., 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the International Conference on Computational Science 2016, 2016
GPU-Accelerated Extreme Learning Machines for Imbalanced Data Streams with Concept Drift.
Proceedings of the International Conference on Computational Science 2016, 2016
Tackling label noise with multi-class decomposition using fuzzy one-class support vector machines.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016
Proceedings of the Data Mining and Big Data, First International Conference, 2016
Proceedings of the Intelligent Information and Database Systems - 8th Asian Conference, 2016
2015
One-class classifiers with incremental learning and forgetting for data streams with concept drift.
Soft Comput., 2015
On the usefulness of one-class classifier ensembles for decomposition of multi-class problems.
Pattern Recognit., 2015
New Gener. Comput., 2015
New Gener. Comput., 2015
J. Comput. Sci., 2015
Neurocomputing, 2015
Multidimensional data classification with chordal distance based kernel and Support Vector Machines.
Eng. Appl. Artif. Intell., 2015
Artif. Intell. Medicine, 2015
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015
Proceedings of the 2015 IEEE International Conference on Systems, 2015
Proceedings of the Pattern Recognition and Machine Intelligence, 2015
Cost-Sensitive Neural Network with ROC-Based Moving Threshold for Imbalanced Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015
Proceedings of the International Conference on Computational Science, 2015
Combining nearest neighbour classifiers based on small subsamples for big data analytics.
Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015
Reacting to different types of concept drift with adaptive and incremental one-class classifiers.
Proceedings of the 2nd IEEE International Conference on Cybernetics, 2015
Combining One-vs-One Decomposition and Ensemble Learning for Multi-class Imbalanced Data.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015
Proceedings of the Intelligent Information and Database Systems - 7th Asian Conference, 2015
Proceedings of the Intelligent Information and Database Systems - 7th Asian Conference, 2015
Data Classification with Ensembles of One-Class Support Vector Machines and Sparse Nonnegative Matrix Factorization.
Proceedings of the Intelligent Information and Database Systems - 7th Asian Conference, 2015
2014
IEEE Syst. J., 2014
Improved Adaptive Splitting and Selection: the Hybrid Training Method of a Classifier Based on a Feature Space Partitioning.
Int. J. Neural Syst., 2014
Cytological image analysis with firefly nuclei detection and hybrid one-class classification decomposition.
Eng. Appl. Artif. Intell., 2014
Appl. Soft Comput., 2014
A hybrid classifier committee for analysing asymmetry features in breast thermograms.
Appl. Soft Comput., 2014
Influence of Distance Measures on the Effectiveness of One-Class Classification Ensembles.
Appl. Artif. Intell., 2014
Proceedings of the International Joint Conference SOCO'14-CISIS'14-ICEUTE'14, 2014
Proceedings of the International Joint Conference SOCO'14-CISIS'14-ICEUTE'14, 2014
Determination of changes in plasma structure during extracorporeal circulation - studies by ATR-FTIR spectroscopy and machine learning methods.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Handling Label Noise in Microarray Classification with One-Class Classifier Ensemble.
Proceedings of the ICT Innovations 2014, 2014
Hypertension Type Classification Using Hierarchical Ensemble of One-Class Classifiers for Imbalanced Data.
Proceedings of the ICT Innovations 2014, 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
One-Class Classification Decomposition for Imbalanced Classification of Breast Cancer Malignancy Data.
Proceedings of the Artificial Intelligence and Soft Computing, 2014
Clustering-Based Ensemble of One-Class Classifiers for Hyperspectral Image Segmentation.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
Experiments on simultaneous combination rule training and ensemble pruning algorithm.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Ensemble Learning, 2014
Weighted one-class classification for different types of minority class examples in imbalanced data.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health, 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
Melanoma Classification Based on Ensemble Classification of Dermoscopy Image Features.
Proceedings of the Advanced Machine Learning Technologies and Applications, 2014
Proceedings of the Intelligent Information and Database Systems - 6th Asian Conference, 2014
2013
Stud. Inform. Univ., 2013
Pattern Recognit. Lett., 2013
Health Informatics J., 2013
Application of Adaptive Splitting and Selection Classifier to the Spam Filtering Problem.
Cybern. Syst., 2013
Proceedings of the IEEE 8th International Symposium on Applied Computational Intelligence and Informatics, 2013
Proceedings of the IEEE 8th International Symposium on Applied Computational Intelligence and Informatics, 2013
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013
Pruning One-Class Classifier Ensembles by Combining Sphere Intersection and Consistency Measures.
Proceedings of the Artificial Intelligence and Soft Computing, 2013
Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013
Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, 2013
Scleroderma capillary pattern identification using texture descriptors and ensemble classification.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Cost Sensitive Hierarchical Classifiers for Non-invasive Recognition of Liver Fibrosis Stage.
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013
Combining one-class classifiers for imbalanced classification of breast thermogram features.
Proceedings of the 2013 Fourth International Workshop on Computational Intelligence in Medical Imaging, 2013
Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, 2013
Accuracy and diversity in classifier selection for one-class classification ensembles.
Proceedings of the IEEE Symposium on Computational Intelligence and Ensemble Learning, 2013
Breast Cancer Identification Based on Thermal Analysis and a Clustering and Selection Classification Ensemble.
Proceedings of the Brain and Health Informatics - International Conference, 2013
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013
HEp-2 Cell Classification Using Multi-dimensional Local Binary Patterns and Ensemble Classification.
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013
An Analysis of Properties of Malignant Cases for Imbalanced Breast Thermogram Feature Classification.
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013
Adaptive Splitting and Selection Method for Noninvasive Recognition of Liver Fibrosis Stage.
Proceedings of the Intelligent Information and Database Systems - 5th Asian Conference, 2013
2012
Int. J. Appl. Math. Comput. Sci., 2012
Proceedings of the International Joint Conference CISIS'12-ICEUTE'12-SOCO'12 Special Sessions, 2012
Proceedings of the Image Processing and Communications Challenges 4, 2012
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Proceedings of the Computer Vision and Graphics - International Conference, 2012
Adaptive Splitting and Selection Algorithm for Classification of Breast Cytology Images.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2012
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
Proceedings of the Federated Conference on Computer Science and Information Systems, 2012
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012
Proceedings of the New Trends in Databases and Information Systems, 2012
2011
Proceedings of the Computer Recognition Systems 4, 2011
Proceedings of the Image Processing and Communications Challenges 3, 2011