| 2024 | CVPR | Class-Incremental Mixture of Gaussians for Deep Continual Learning. | Lukasz Korycki, Bartosz Krawczyk |
| 2024 | CVPR | Continual Learning with Weight Interpolation. | Jedrzej Kozal, Jan Wasilewski, Bartosz Krawczyk, Michal Wozniak |
| 2024 | ICDM | Combining Active Learning and Self-Labeling for Deep Learning from Data Streams. | Jan Wasilewski, Michal Wozniak, Bartosz Krawczyk |
| 2023 | ICDE | Efficient Augmentation for Imbalanced Deep Learning. | Damien A. Dablain, Colin Bellinger, Bartosz Krawczyk, Nitesh V. Chawla |
| 2023 | SECON | Class-Aware Neural Networks for Efficient Intrusion Detection on Edge Devices. | Mohammed Ayyat, Tamer Nadeem, Bartosz Krawczyk |
| 2021 | CVPR | Class-Incremental Experience Replay for Continual Learning Under Concept Drift. | Lukasz Korycki, Bartosz Krawczyk |
| 2021 | DSAA | Tensor Decision Trees for Continual Learning from Drifting Data Streams. | Bartosz Krawczyk |
| 2021 | ICDE | Concept Drift Detection from Multi-Class Imbalanced Data Streams. | Lukasz Korycki, Bartosz Krawczyk |
| 2021 | IJCNN | Undersampling with Support Vectors for Multi-Class Imbalanced Data Classification. | Bartosz Krawczyk, Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz |
| 2021 | PAKDD | Low-Dimensional Representation Learning from Imbalanced Data Streams. | Lukasz Korycki, Bartosz Krawczyk |
| 2021 | PAKDD | Locally Linear Support Vector Machines for Imbalanced Data Classification. | Bartosz Krawczyk, Alberto Cano |
| 2020 | IJCNN | Online Oversampling for Sparsely Labeled Imbalanced and Non-Stationary Data Streams. | Lukasz Korycki, Bartosz Krawczyk |
| 2019 | DSAA | Unsupervised Drift Detector Ensembles for Data Stream Mining. | Lukasz Korycki, Bartosz Krawczyk |
| 2019 | ICCS | On the Role of Cost-Sensitive Learning in Imbalanced Data Oversampling. | Bartosz Krawczyk, Michal Wozniak |
| 2019 | IJCAI | Adaptive Ensemble Active Learning for Drifting Data Stream Mining. | Bartosz Krawczyk, Alberto Cano |
| 2018 | CEC | Learning Classification Rules with Differential Evolution for High-Speed Data Stream Mining on GPU s. | Alberto Cano, Bartosz Krawczyk |
| 2018 | CEC | An Empirical Insight Into Concept Drift Detectors Ensemble Strategies. | Andrzej Lapinski, Bartosz Krawczyk, Pawel Ksieniewicz, Michal Wozniak |
| 2018 | DIS | Addressing Local Class Imbalance in Balanced Datasets with Dynamic Impurity Decision Trees. | Andriy Mulyar, Bartosz Krawczyk |
| 2018 | HAIS | Multi-class Imbalanced Data Oversampling for Vertebral Column Pathologies Classification. | Jos A. Sez, Hctor Quintin, Bartosz Krawczyk, Michal Wozniak, Emilio Corchado |
| 2018 | ICDM | Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme Imbalance. | Shiven Sharma, Colin Bellinger, Bartosz Krawczyk, Osmar R. Zaane, Nathalie Japkowicz |
| 2018 | IJCNN | Selecting local ensembles for multi-class imbalanced data classification. | Bartosz Krawczyk, Alberto Cano, Michal Wozniak |
| 2018 | SMC | Leveraging Ensemble Pruning for Imbalanced Data Classification. | Bartosz Krawczyk, Michal Wozniak |
| 2017 | HAIS | Radial-Based Approach to Imbalanced Data Oversampling. | Michal Koziarski, Bartosz Krawczyk, Michal Wozniak |
| 2017 | HAIS | Sentiment Classification from Multi-class Imbalanced Twitter Data Using Binarization. | Bartosz Krawczyk, Bridget T. McInnes, Alberto Cano |
| 2017 | IJCNN | Online query by committee for active learning from drifting data streams. | Bartosz Krawczyk, Michal Wozniak |
| 2016 | ACIIDS | Hybrid One-Class Ensemble for High-Dimensional Data Classification. | Bartosz Krawczyk |
| 2016 | FedCSIS | Forming Classifier Ensembles with Deterministic Feature Subspaces. | Michal Koziarski, Bartosz Krawczyk, Michal Wozniak |
| 2016 | ICCS | GPU-Accelerated Extreme Learning Machines for Imbalanced Data Streams with Concept Drift. | Bartosz Krawczyk |
| 2016 | ICCS | Workshop on Nonstationary Models of Pattern Recognition and Classifier Combinations. | Michal Wozniak, Bartosz Krawczyk |
| 2016 | IJCNN | Cost-sensitive one-vs-one ensemble for multi-class imbalanced data. | Bartosz Krawczyk |
| 2015 | ACIIDS | Data Classification with Ensembles of One-Class Support Vector Machines and Sparse Nonnegative Matrix Factorization. | Boguslaw Cyganek, Bartosz Krawczyk |
| 2015 | ACIIDS | Pruning Ensembles of One-Class Classifiers with X-means Clustering. | Bartosz Krawczyk, Michal Wozniak |
| 2015 | ACIIDS | Pruning Ensembles with Cost Constraints. | Bartosz Krawczyk, Michal Wozniak |
| 2015 | ICCS | Wagging for Combining Weighted One-class Support Vector Machines. | Bartosz Krawczyk, Michal Wozniak |
| 2015 | IDEAL | Cost-Sensitive Neural Network with ROC-Based Moving Threshold for Imbalanced Classification. | Bartosz Krawczyk, Michal Wozniak |
| 2015 | SMC | Weighted Nave Bayes Classifier with Forgetting for Drifting Data Streams. | Bartosz Krawczyk, Michal Wozniak |
| 2015 | TrustCom | Incremental One-Class Bagging for Streaming and Evolving Big Data. | Bartosz Krawczyk, Michal Wozniak |
| 2014 | ACIIDS | Optimization Algorithms for One-Class Classification Ensemble Pruning. | Bartosz Krawczyk, Michal Wozniak |
| 2014 | CEC | A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification. | Bartosz Krawczyk, Isaac Triguero, Salvador Garca, Michal Wozniak, Francisco Herrera |
| 2014 | CEC | Cost-sensitive texture classification. | Gerald Schaefer, Bartosz Krawczyk, Niraj P. Doshi, Tomoharu Nakashima |
| 2014 | CIDM | Weighted one-class classification for different types of minority class examples in imbalanced data. | Bartosz Krawczyk, Michal Wozniak, Francisco Herrera |
| 2014 | HAIS | Hyperspectral Image Analysis Based on Color Channels and Ensemble Classifier. | Bartosz Krawczyk, Pawel Ksieniewicz, Michal Wozniak |
| 2014 | HAIS | Clustering-Based Ensemble of One-Class Classifiers for Hyperspectral Image Segmentation. | Bartosz Krawczyk, Michal Wozniak, Boguslaw Cyganek |
| 2014 | ICAISC | One-Class Classification Decomposition for Imbalanced Classification of Breast Cancer Malignancy Data. | Bartosz Krawczyk, Lukasz Jelen, Adam Krzyzak, Thomas Fevens |
| 2014 | ICPR | Weighted One-Class Classifier Ensemble Based on Fuzzy Feature Space Partitioning. | Bartosz Krawczyk, Michal Wozniak, Boguslaw Cyganek |
| 2014 | IJCNN | New untrained aggregation methods for classifier combination. | Bartosz Krawczyk, Michal Wozniak |
| 2014 | ISNN | Untrained Method for Ensemble Pruning and Weighted Combination. | Bartosz Krawczyk, Michal Wozniak |
| 2014 | ISNN | One-Class Classification Ensemble with Dynamic Classifier Selection. | Bartosz Krawczyk, Michal Wozniak |
| 2013 | ACIIDS | Adaptive Splitting and Selection Method for Noninvasive Recognition of Liver Fibrosis Stage. | Bartosz Krawczyk, Michal Wozniak, Tomasz Orczyk, Piotr Porwik |
| 2013 | FedCSIS | Combining One-Class Support Vector Machines for Microarray Classification. | Bartosz Krawczyk |
| 2013 | HAIS | Distributed Privacy-Preserving Minimal Distance Classification. | Bartosz Krawczyk, Michal Wozniak |
| 2013 | ICAISC | Pruning One-Class Classifier Ensembles by Combining Sphere Intersection and Consistency Measures. | Bartosz Krawczyk, Michal Wozniak |
| 2013 | SACI | An improved ensemble approach for imbalanced classification problems. | Bartosz Krawczyk, Gerald Schaefer |
| 2013 | SACI | A cost-sensitive ensemble classifier for breast cancer classification. | Bartosz Krawczyk, Gerald Schaefer, Michal Wozniak |
| 2012 | ADBIS | Diversity in Ensembles for One-Class Classification. | Bartosz Krawczyk |
| 2012 | FedCSIS | Experiments on distance measures for combining one-class classifiers. | Bartosz Krawczyk, Michal Wozniak |
| 2012 | HAIS | Combining Diverse One-Class Classifiers. | Bartosz Krawczyk, Michal Wozniak |
| 2012 | ICCCI | Adaptive Splitting and Selection Algorithm for Classification of Breast Cytology Images. | Bartosz Krawczyk, Pawel Filipczuk, Michal Wozniak |
| 2012 | ICCVG | Oversampling Methods for Classification of Imbalanced Breast Cancer Malignancy Data. | Bartosz Krawczyk, Lukasz Jelen, Adam Krzyzak, Thomas Fevens |
| 2012 | ICPR | Effective multiple classifier systems for breast thermogram analysis. | Bartosz Krawczyk, Gerald Schaefer |
| 2012 | IDEAL | Cost-Sensitive Splitting and Selection Method for Medical Decision Support System. | Konrad Jackowski, Bartosz Krawczyk, Michal Wozniak |