Bartosz Krawczyk

203 papers A* 4A 1B 20C 8Misc 12Journal 96Unranked 60

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Holistic Continual Learning under Concept Drift with Adaptive Memory Realignment. Trans. Mach. Learn. Res. Alif Ashrafee, Jedrzej Kozal, Michal Wozniak, Bartosz Krawczyk
2026	J	`jnl`	Unlearning-based sliding window for continual learning under concept drift. CoRR Michal Wozniak, Marek Klonowski, Maciej Maczynski, Bartosz Krawczyk
2025	J	`jnl`	Deep Imbalanced Multi-Target Regression: 3D Point Cloud Voxel Content Estimation in Simulated Forests. CoRR Amirhossein Hassanzadeh, Bartosz Krawczyk, Michael Grady Saunders, Rob Wible, Keith Krause, Dimah Dera, Jan van Aardt
2025	J	`jnl`	Holistic Continual Learning under Concept Drift with Adaptive Memory Realignment. CoRR Alif Ashrafee, Jedrzej Kozal, Michal Wozniak, Bartosz Krawczyk
2025	J	`jnl`	OpenScout v1.1 mobile robot: a case study on open hardware continuation. CoRR Bartosz Krawczyk, Ahmed Elbary, Robbie Cato, Jagdish Patil, Kaung Myat, Anyeh Ndi-Tah, Nivetha Sakthivel, Mark Crampton, Gautham Das, Charles Fox
2025	J	`jnl`	Towards Adversarial Robustness and Uncertainty Quantification in DINOv2-based Few-Shot Anomaly Detection. CoRR Akib Mohammed Khan, Bartosz Krawczyk
2025	J	`jnl`	What is the role of memorization in Continual Learning? CoRR Jedrzej Kozal, Jan Wasilewski, Alif Ashrafee, Bartosz Krawczyk, Michal Wozniak
2024	J	`jnl`	A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework. Mach. Learn. Gabriel Aguiar, Bartosz Krawczyk, Alberto Cano
2024	J	`jnl`	Balanced Gradient Sample Retrieval for Enhanced Knowledge Retention in Proxy-based Continual Learning. CoRR Hongye Xu, Jan Wasilewski, Bartosz Krawczyk
2024	—	`conf`	Class-Incremental Mixture of Gaussians for Deep Continual Learning. CVPR Workshops Lukasz Korycki, Bartosz Krawczyk
2024	J	`jnl`	ClassyNet: Class-Aware Early-Exit Neural Networks for Edge Devices. IEEE Internet Things J. Mohammed Ayyat, Tamer Nadeem, Bartosz Krawczyk
2024	—	`conf`	Combining Active Learning and Self-Labeling for Deep Learning from Data Streams. ICDM (Workshops) Jan Wasilewski, Michal Wozniak, Bartosz Krawczyk
2024	—	`conf`	Continual Learning with Weight Interpolation. CVPR Workshops Jedrzej Kozal, Jan Wasilewski, Bartosz Krawczyk, Michal Wozniak
2024	J	`jnl`	Continual Learning with Weight Interpolation. CoRR Jedrzej Kozal, Jan Wasilewski, Bartosz Krawczyk, Michal Wozniak
2024	J	`jnl`	Correction: Adversarial concept drift detection under poisoning attacks for robust data stream mining. Mach. Learn. Lukasz Korycki, Bartosz Krawczyk
2024	J	`jnl`	Improved KD-tree based imbalanced big data classification and oversampling for MapReduce platforms. Appl. Intell. William C. Sleeman, Martha I. Roseberry, Preetam Ghosh, Alberto Cano, Bartosz Krawczyk
2024	J	`jnl`	The class imbalance problem in deep learning. Mach. Learn. Kushankur Ghosh, Colin Bellinger, Roberto Corizzo, Paula Branco, Bartosz Krawczyk, Nathalie Japkowicz
2024	J	`jnl`	Understanding imbalanced data: XAI & interpretable ML framework. Mach. Learn. Damien Dablain, Colin Bellinger, Bartosz Krawczyk, David W. Aha, Nitesh V. Chawla
2023	J	`jnl`	Adversarial concept drift detection under poisoning attacks for robust data stream mining. Mach. Learn. Lukasz Korycki, Bartosz Krawczyk
2023	B	`conf`	Class-Aware Neural Networks for Efficient Intrusion Detection on Edge Devices. SECON Mohammed Ayyat, Tamer Nadeem, Bartosz Krawczyk
2023	J	`jnl`	Class-Incremental Mixture of Gaussians for Deep Continual Learning. CoRR Lukasz Korycki, Bartosz Krawczyk
2023	J	`jnl`	DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data. IEEE Trans. Neural Networks Learn. Syst. Damien Dablain, Bartosz Krawczyk, Nitesh V. Chawla
2023	A*	`conf`	Efficient Augmentation for Imbalanced Deep Learning. ICDE Damien A. Dablain, Colin Bellinger, Bartosz Krawczyk, Nitesh V. Chawla
2022	J	`jnl`	A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework. CoRR Gabriel Jonas Aguiar, Bartosz Krawczyk, Alberto Cano
2022	J	`jnl`	Efficient Augmentation for Imbalanced Deep Learning. CoRR Damien Dablain, Colin Bellinger, Bartosz Krawczyk, Nitesh V. Chawla
2022	J	`jnl`	Instance exploitation for learning temporary concepts from sparsely labeled drifting data streams. Pattern Recognit. Lukasz Korycki, Bartosz Krawczyk
2022	J	`jnl`	Interpretable ML for Imbalanced Data. CoRR Damien A. Dablain, Colin Bellinger, Bartosz Krawczyk, David W. Aha, Nitesh V. Chawla
2022	J	`jnl`	ROSE: robust online self-adjusting ensemble for continual learning on imbalanced drifting data streams. Mach. Learn. Alberto Cano, Bartosz Krawczyk
2022	J	`jnl`	Towards A Holistic View of Bias in Machine Learning: Bridging Algorithmic Fairness and Imbalanced Learning. CoRR Damien Dablain, Bartosz Krawczyk, Nitesh V. Chawla
2021	—	`conf`	Class-Incremental Experience Replay for Continual Learning Under Concept Drift. CVPR Workshops Lukasz Korycki, Bartosz Krawczyk
2021	J	`jnl`	Class-Incremental Experience Replay for Continual Learning under Concept Drift. CoRR Lukasz Korycki, Bartosz Krawczyk
2021	A*	`conf`	Concept Drift Detection from Multi-Class Imbalanced Data Streams. ICDE Lukasz Korycki, Bartosz Krawczyk
2021	J	`jnl`	Concept Drift Detection from Multi-Class Imbalanced Data Streams. CoRR Lukasz Korycki, Bartosz Krawczyk
2021	J	`jnl`	DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data. CoRR Damien Dablain, Bartosz Krawczyk, Nitesh V. Chawla
2021	—	`conf`	Evaluating and Explaining Generative Adversarial Networks for Continual Learning under Concept Drift. ICDM (Workshops) Filip Guzy, Michal Wozniak, Bartosz Krawczyk
2021	J	`jnl`	Imbalanced Big Data Oversampling: Taxonomy, Algorithms, Software, Guidelines and Future Directions. CoRR William C. Sleeman IV, Bartosz Krawczyk
2021	—	`conf`	Locally Linear Support Vector Machines for Imbalanced Data Classification. PAKDD (1) Bartosz Krawczyk, Alberto Cano
2021	—	`conf`	Low-Dimensional Representation Learning from Imbalanced Data Streams. PAKDD (1) Lukasz Korycki, Bartosz Krawczyk
2021	J	`jnl`	Mining Drifting Data Streams on a Budget: Combining Active Learning with Self-Labeling. CoRR Lukasz Korycki, Bartosz Krawczyk
2021	J	`jnl`	Multi-class imbalanced big data classification on Spark. Knowl. Based Syst. William C. Sleeman IV, Bartosz Krawczyk
2021	—	`conf`	On the combined effect of class imbalance and concept complexity in deep learning. IEEE BigData Kushankur Ghosh, Colin Bellinger, Roberto Corizzo, Bartosz Krawczyk, Nathalie Japkowicz
2021	J	`jnl`	On the combined effect of class imbalance and concept complexity in deep learning. CoRR Kushankur Ghosh, Colin Bellinger, Roberto Corizzo, Bartosz Krawczyk, Nathalie Japkowicz
2021	J	`jnl`	Self-adjusting k nearest neighbors for continual learning from multi-label drifting data streams. Neurocomputing Martha I. Roseberry, Bartosz Krawczyk, Youcef Djenouri, Alberto Cano
2021	—	`conf`	Streaming Decision Trees for Lifelong Learning. ECML/PKDD (1) Lukasz Korycki, Bartosz Krawczyk
2021	B	`conf`	Tensor Decision Trees for Continual Learning from Drifting Data Streams. DSAA Bartosz Krawczyk
2021	J	`jnl`	Tensor decision trees for continual learning from drifting data streams. Mach. Learn. Bartosz Krawczyk
2021	B	`conf`	Undersampling with Support Vectors for Multi-Class Imbalanced Data Classification. IJCNN Bartosz Krawczyk, Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz
2021	J	`jnl`	XRRpred: accurate predictor of crystal structure quality from protein sequence. Bioinform. Sina Ghadermarzi, Bartosz Krawczyk, Jiangning Song, Lukasz A. Kurgan
2020	J	`jnl`	A Machine Learning method for relabeling arbitrary DICOM structure sets to TG-263 defined labels. J. Biomed. Informatics William C. Sleeman IV, Joseph Nalluri, Khajamoinuddin Syed, Preetam Ghosh, Bartosz Krawczyk, Michael Hagan, Jatinder Palta, Rishabh Kapoor
2020	J	`jnl`	Adaptive Deep Forest for Online Learning from Drifting Data Streams. CoRR Lukasz Korycki, Bartosz Krawczyk
2020	J	`jnl`	Adversarial Concept Drift Detection under Poisoning Attacks for Robust Data Stream Mining. CoRR Lukasz Korycki, Bartosz Krawczyk
2020	J	`jnl`	Combined Cleaning and Resampling Algorithm for Multi-Class Imbalanced Data with Label Noise. CoRR Michal Koziarski, Michal Wozniak, Bartosz Krawczyk
2020	J	`jnl`	Combined Cleaning and Resampling algorithm for multi-class imbalanced data with label noise. Knowl. Based Syst. Michal Koziarski, Michal Wozniak, Bartosz Krawczyk
2020	J	`jnl`	Instance exploitation for learning temporary concepts from sparsely labeled drifting data streams. CoRR Lukasz Korycki, Bartosz Krawczyk
2020	J	`jnl`	Kappa Updated Ensemble for drifting data stream mining. Mach. Learn. Alberto Cano, Bartosz Krawczyk
2020	B	`conf`	Online Oversampling for Sparsely Labeled Imbalanced and Non-Stationary Data Streams. IJCNN Lukasz Korycki, Bartosz Krawczyk
2020	J	`jnl`	Radial-Based Oversampling for Multiclass Imbalanced Data Classification. IEEE Trans. Neural Networks Learn. Syst. Bartosz Krawczyk, Michal Koziarski, Michal Wozniak
2019	—	`conf`	Active Learning with Abstaining Classifiers for Imbalanced Drifting Data Streams. IEEE BigData Lukasz Korycki, Alberto Cano, Bartosz Krawczyk
2019	A*	`conf`	Adaptive Ensemble Active Learning for Drifting Data Stream Mining. IJCAI Bartosz Krawczyk, Alberto Cano
2019	J	`jnl`	Addressing the Overlapping Data Problem in Classification Using the One-vs-One Decomposition Strategy. IEEE Access José A. Sáez, Mikel Galar, Bartosz Krawczyk
2019	—	`conf`	Bagging Using Instance-Level Difficulty for Multi-Class Imbalanced Big Data Classification on Spark. IEEE BigData William C. Sleeman IV, Bartosz Krawczyk
2019	J	`jnl`	Evolving rule-based classifiers with genetic programming on GPUs for drifting data streams. Pattern Recognit. Alberto Cano, Bartosz Krawczyk
2019	J	`jnl`	Instance reduction for one-class classification. Knowl. Inf. Syst. Bartosz Krawczyk, Isaac Triguero, Salvador García, Michal Wozniak, Francisco Herrera
2019	J	`jnl`	Monotonic classification: An overview on algorithms, performance measures and data sets. Neurocomputing José Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michal Wozniak, Salvador García
2019	J	`jnl`	Multi-Label Punitive kNN with Self-Adjusting Memory for Drifting Data Streams. ACM Trans. Knowl. Discov. Data Martha I. Roseberry, Bartosz Krawczyk, Alberto Cano
2019	—	`conf`	On the Role of Cost-Sensitive Learning in Imbalanced Data Oversampling. ICCS (3) Bartosz Krawczyk, Michal Wozniak
2019	J	`jnl`	Radial-Based oversampling for noisy imbalanced data classification. Neurocomputing Michal Koziarski, Bartosz Krawczyk, Michal Wozniak
2019	J	`jnl`	Speeding up Neurocomputing Przemyslaw Skryjomski, Bartosz Krawczyk, Alberto Cano
2019	J	`jnl`	Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation. Expert Syst. Appl. Anabel Gómez-Ríos, Siham Tabik, Julián Luengo, A. S. M. Shihavuddin, Bartosz Krawczyk, Francisco Herrera
2019	J	`jnl`	Uniqueness of Medical Data Mining: How the new technologies and data they generate are transforming medicine. CoRR Krzysztof J. Cios, Bartosz Krawczyk, Jacquelyne Cios, Kevin J. Staley
2019	B	`conf`	Unsupervised Drift Detector Ensembles for Data Stream Mining. DSAA Lukasz Korycki, Bartosz Krawczyk
2018	—	`conf`	2nd Workshop on Learning with Imbalanced Domains: Preface. LIDTA@ECML/PKDD Luís Torgo, Stan Matwin, Nathalie Japkowicz, Bartosz Krawczyk, Nuno Moniz, Paula Branco
2018	B	`conf`	Addressing Local Class Imbalance in Balanced Datasets with Dynamic Impurity Decision Trees. DS Andriy Mulyar, Bartosz Krawczyk
2018	B	`conf`	An Empirical Insight Into Concept Drift Detectors Ensemble Strategies. CEC Andrzej Lapinski, Bartosz Krawczyk, Pawel Ksieniewicz, Michal Wozniak
2018	—	`conf`	Clustering-Driven and Dynamically Diversified Ensemble for Drifting Data Streams. IEEE BigData Lukasz Korycki, Bartosz Krawczyk
2018	—	`conf`	Combining active learning with concept drift detection for data stream mining. IEEE BigData Bartosz Krawczyk, Bernhard Pfahringer, Michal Wozniak
2018	J	`jnl`	Dynamic ensemble selection for multi-class classification with one-class classifiers. Pattern Recognit. Bartosz Krawczyk, Mikel Galar, Michal Wozniak, Humberto Bustince, Francisco Herrera
2018	J	`jnl`	Ensemble of Extreme Learning Machines with trained classifier combination and statistical features for hyperspectral data. Neurocomputing Pawel Ksieniewicz, Bartosz Krawczyk, Michal Wozniak
2018	B	`conf`	Learning Classification Rules with Differential Evolution for High-Speed Data Stream Mining on GPU s. CEC Alberto Cano, Bartosz Krawczyk
2018	—	`book`	Learning from Imbalanced Data Sets Alberto Fernández, Salvador García, Mikel Galar, Ronaldo C. Prati, Bartosz Krawczyk, Francisco Herrera
2018	B	`conf`	Leveraging Ensemble Pruning for Imbalanced Data Classification. SMC Bartosz Krawczyk, Michal Wozniak
2018	J	`jnl`	Local ensemble learning from imbalanced and noisy data for word sense disambiguation. Pattern Recognit. Bartosz Krawczyk, Bridget T. McInnes
2018	J	`jnl`	Monotonic classification: an overview on algorithms, performance measures and data sets. CoRR José Ramón Cano, Pedro Antonio Gutiérrez, Bartosz Krawczyk, Michal Wozniak, Salvador García
2018	Misc	`conf`	Multi-class Imbalanced Data Oversampling for Vertebral Column Pathologies Classification. HAIS José A. Sáez, Héctor Quintián, Bartosz Krawczyk, Michal Wozniak, Emilio Corchado
2018	J	`jnl`	Online ensemble learning with abstaining classifiers for drifting and noisy data streams. Appl. Soft Comput. Bartosz Krawczyk, Alberto Cano
2018	B	`conf`	Selecting local ensembles for multi-class imbalanced data classification. IJCNN Bartosz Krawczyk, Alberto Cano, Michal Wozniak
2018	A*	`conf`	Synthetic Oversampling with the Majority Class: A New Perspective on Handling Extreme Imbalance. ICDM Shiven Sharma, Colin Bellinger, Bartosz Krawczyk, Osmar R. Zaïane, Nathalie Japkowicz
2018	J	`jnl`	Towards Highly Accurate Coral Texture Images Classification Using Deep Convolutional Neural Networks and Data Augmentation. CoRR Anabel Gómez-Ríos, Siham Tabik, Julián Luengo, A. S. M. Shihavuddin, Bartosz Krawczyk, Francisco Herrera
2017	J	`jnl`	A survey on data preprocessing for data stream mining: Current status and future directions. Neurocomputing Sergio Ramírez-Gallego, Bartosz Krawczyk, Salvador García, Michal Wozniak, Francisco Herrera
2017	J	`jnl`	Active and adaptive ensemble learning for online activity recognition from data streams. Knowl. Based Syst. Bartosz Krawczyk
2017	—	`conf`	Combining Active Learning and Self-Labeling for Data Stream Mining. CORES Lukasz Korycki, Bartosz Krawczyk
2017	—	`conf`	Cost-Sensitive Perceptron Decision Trees for Imbalanced Drifting Data Streams. ECML/PKDD (2) Bartosz Krawczyk, Przemyslaw Skryjomski
2017	J	`jnl`	Ensemble learning for data stream analysis: A survey. Inf. Fusion Bartosz Krawczyk, Leandro L. Minku, João Gama, Jerzy Stefanowski, Michal Wozniak
2017	J	`jnl`	Fault diagnosis of marine 4-stroke diesel engines using a one-vs-one extreme learning ensemble. Eng. Appl. Artif. Intell. Jerzy Kowalski, Bartosz Krawczyk, Michal Wozniak
2017	—	`conf`	Immersive browsing in an image sphere. IMCOM Gerald Schaefer, Mateusz Budnik, Bartosz Krawczyk
2017	—	`conf`	Influence of minority class instance types on SMOTE imbalanced data oversampling. LIDTA@PKDD/ECML Przemyslaw Skryjomski, Bartosz Krawczyk
2017	—	`conf`	Learning with Imbalanced Domains: Preface. LIDTA@PKDD/ECML Luís Torgo, Bartosz Krawczyk, Paula Branco, Nuno Moniz
2017	J	`jnl`	Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark. IEEE Trans. Syst. Man Cybern. Syst. Sergio Ramírez-Gallego, Bartosz Krawczyk, Salvador García, Michal Wozniak, José Manuel Benítez, Francisco Herrera
2017	B	`conf`	Online query by committee for active learning from drifting data streams. IJCNN Bartosz Krawczyk, Michal Wozniak
2017	Misc	`conf`	Radial-Based Approach to Imbalanced Data Oversampling. HAIS Michal Koziarski, Bartosz Krawczyk, Michal Wozniak
2017	J	`jnl`	Selecting locally specialised classifiers for one-class classification ensembles. Pattern Anal. Appl. Bartosz Krawczyk, Boguslaw Cyganek
2017	Misc	`conf`	Sentiment Classification from Multi-class Imbalanced Twitter Data Using Binarization. HAIS Bartosz Krawczyk, Bridget T. McInnes, Alberto Cano
2017	J	`jnl`	The deterministic subspace method for constructing classifier ensembles. Pattern Anal. Appl. Michal Koziarski, Bartosz Krawczyk, Michal Wozniak
2016	J	`jnl`	A Survey of Big Data Issues in Electronic Health Record Analysis. Appl. Artif. Intell. Boguslaw Cyganek, Manuel Graña, Bartosz Krawczyk, Andrzej Kasprzak, Piotr Porwik, Krzysztof Walkowiak, Michal Wozniak
2016	J	`jnl`	Analyzing the oversampling of different classes and types of examples in multi-class imbalanced datasets. Pattern Recognit. José A. Sáez, Bartosz Krawczyk, Michal Wozniak
2016	B	`conf`	Cost-sensitive one-vs-one ensemble for multi-class imbalanced data. IJCNN Bartosz Krawczyk
2016	J	`jnl`	Dynamic classifier selection for one-class classification. Knowl. Based Syst. Bartosz Krawczyk, Michal Wozniak
2016	J	`jnl`	Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data. Knowl. Based Syst. Zhongliang Zhang, Bartosz Krawczyk, Salvador García, Alejandro Rosales-Pérez, Francisco Herrera
2016	—	`conf`	Ensemble of One-Dimensional Classifiers for Hyperspectral Image Analysis. DMBD Pawel Ksieniewicz, Bartosz Krawczyk, Michal Wozniak
2016	J	`jnl`	Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy. Appl. Soft Comput. Bartosz Krawczyk, Mikel Galar, Lukasz Jelen, Francisco Herrera
2016	C	`conf`	Forming Classifier Ensembles with Deterministic Feature Subspaces. FedCSIS Michal Koziarski, Bartosz Krawczyk, Michal Wozniak
2016	Misc	`conf`	GPU-Accelerated Extreme Learning Machines for Imbalanced Data Streams with Concept Drift. ICCS Bartosz Krawczyk
2016	—	`conf`	Hybrid One-Class Ensemble for High-Dimensional Data Classification. ACIIDS (2) Bartosz Krawczyk
2016	J	`jnl`	Learning from imbalanced data: open challenges and future directions. Prog. Artif. Intell. Bartosz Krawczyk
2016	J	`jnl`	On the Influence of Class Noise in Medical Data Classification: Treatment Using Noise Filtering Methods. Appl. Artif. Intell. José A. Sáez, Bartosz Krawczyk, Michal Wozniak
2016	B	`conf`	Tackling label noise with multi-class decomposition using fuzzy one-class support vector machines. FUZZ-IEEE Bartosz Krawczyk, José A. Sáez, Michal Wozniak
2016	J	`jnl`	Untrained weighted classifier combination with embedded ensemble pruning. Neurocomputing Bartosz Krawczyk, Michal Wozniak
2016	Misc	`conf`	Workshop on Nonstationary Models of Pattern Recognition and Classifier Combinations. ICCS Michal Wozniak, Bartosz Krawczyk
2015	J	`jnl`	A hybrid cost-sensitive ensemble for imbalanced breast thermogram classification. Artif. Intell. Medicine Bartosz Krawczyk, Gerald Schaefer, Michal Wozniak
2015	—	`conf`	Combining One-vs-One Decomposition and Ensemble Learning for Multi-class Imbalanced Data. CORES Bartosz Krawczyk
2015	—	`conf`	Combining nearest neighbour classifiers based on small subsamples for big data analytics. CYBCONF Bartosz Krawczyk, Michal Wozniak
2015	C	`conf`	Cost-Sensitive Neural Network with ROC-Based Moving Threshold for Imbalanced Classification. IDEAL Bartosz Krawczyk, Michal Wozniak
2015	—	`conf`	Data Classification with Ensembles of One-Class Support Vector Machines and Sparse Nonnegative Matrix Factorization. ACIIDS (1) Boguslaw Cyganek, Bartosz Krawczyk
2015	J	`jnl`	Data stream classification and big data analytics. Neurocomputing Bartosz Krawczyk, Jerzy Stefanowski, Michal Wozniak
2015	—	`conf`	Effective Imbalanced Classification of Breast Thermogram Features. PReMI Bartosz Krawczyk, Gerald Schaefer
2015	J	`jnl`	Forming Ensembles of Soft One-Class Classifiers with Weighted Bagging. New Gener. Comput. Bartosz Krawczyk
2015	J	`jnl`	Hybrid Ensemble Machine Learning for Complex and Dynamic Data. New Gener. Comput. Bartosz Krawczyk, Bogdan Trawinski
2015	—	`conf`	Incremental One-Class Bagging for Streaming and Evolving Big Data. TrustCom/BigDataSE/ISPA (2) Bartosz Krawczyk, Michal Wozniak
2015	J	`jnl`	Incremental weighted one-class classifier for mining stationary data streams. J. Comput. Sci. Bartosz Krawczyk, Michal Wozniak
2015	J	`jnl`	Multidimensional data classification with chordal distance based kernel and Support Vector Machines. Eng. Appl. Artif. Intell. Boguslaw Cyganek, Bartosz Krawczyk, Michal Wozniak
2015	J	`jnl`	On the usefulness of one-class classifier ensembles for decomposition of multi-class problems. Pattern Recognit. Bartosz Krawczyk, Michal Wozniak, Francisco Herrera
2015	J	`jnl`	One-class classifier ensemble pruning and weighting with firefly algorithm. Neurocomputing Bartosz Krawczyk
2015	J	`jnl`	One-class classifiers with incremental learning and forgetting for data streams with concept drift. Soft Comput. Bartosz Krawczyk, Michal Wozniak
2015	—	`conf`	Pruning Ensembles of One-Class Classifiers with X-means Clustering. ACIIDS (1) Bartosz Krawczyk, Michal Wozniak
2015	—	`conf`	Pruning Ensembles with Cost Constraints. ACIIDS (1) Bartosz Krawczyk, Michal Wozniak
2015	—	`conf`	Reacting to different types of concept drift with adaptive and incremental one-class classifiers. CYBCONF Bartosz Krawczyk, Michal Wozniak
2015	Misc	`conf`	Wagging for Combining Weighted One-class Support Vector Machines. ICCS Bartosz Krawczyk, Michal Wozniak
2015	B	`conf`	Weighted Naïve Bayes Classifier with Forgetting for Drifting Data Streams. SMC Bartosz Krawczyk, Michal Wozniak
2014	B	`conf`	A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification. IEEE Congress on Evolutionary Computation Bartosz Krawczyk, Isaac Triguero, Salvador García, Michal Wozniak, Francisco Herrera
2014	J	`jnl`	A hybrid classifier committee for analysing asymmetry features in breast thermograms. Appl. Soft Comput. Bartosz Krawczyk, Gerald Schaefer
2014	—	`conf`	Adaptive Splitting and Selection ensemble for breast cancer malignancy grading. CICARE Bartosz Krawczyk, Lukasz Jelen, Michal Wozniak
2014	J	`jnl`	An ensemble classification approach for melanoma diagnosis. Memetic Comput. Gerald Schaefer, Bartosz Krawczyk, M. Emre Celebi, Hitoshi Iyatomi
2014	J	`jnl`	Breast Thermogram Analysis Using Classifier Ensembles and Image Symmetry Features. IEEE Syst. J. Bartosz Krawczyk, Gerald Schaefer
2014	Misc	`conf`	Clustering-Based Ensemble of One-Class Classifiers for Hyperspectral Image Segmentation. HAIS Bartosz Krawczyk, Michal Wozniak, Boguslaw Cyganek
2014	J	`jnl`	Clustering-based ensembles for one-class classification. Inf. Sci. Bartosz Krawczyk, Michal Wozniak, Boguslaw Cyganek
2014	J	`jnl`	Cost-sensitive decision tree ensembles for effective imbalanced classification. Appl. Soft Comput. Bartosz Krawczyk, Michal Wozniak, Gerald Schaefer
2014	B	`conf`	Cost-sensitive texture classification. IEEE Congress on Evolutionary Computation Gerald Schaefer, Bartosz Krawczyk, Niraj P. Doshi, Tomoharu Nakashima
2014	J	`jnl`	Cytological image analysis with firefly nuclei detection and hybrid one-class classification decomposition. Eng. Appl. Artif. Intell. Bartosz Krawczyk, Pawel Filipczuk
2014	B	`conf`	Designing a compact Genetic fuzzy rule-based system for one-class classification. FUZZ-IEEE Pedro Villar, Bartosz Krawczyk, Ana M. Sánchez, Rosana Montes, Francisco Herrera
2014	—	`conf`	Determination of changes in plasma structure during extracorporeal circulation - studies by ATR-FTIR spectroscopy and machine learning methods. IWBBIO Sylwia Olsztynska-Janus, Barbara Kmiecik, Bartosz Krawczyk, Malgorzata Komorowska
2014	J	`jnl`	Diversity measures for one-class classifier ensembles. Neurocomputing Bartosz Krawczyk, Michal Wozniak
2014	—	`conf`	Evolutionary Cost-Sensitive Ensemble for Malware Detection. SOCO-CISIS-ICEUTE Bartosz Krawczyk, Michal Wozniak
2014	—	`conf`	Experiments on simultaneous combination rule training and ensemble pruning algorithm. CIEL Bartosz Krawczyk, Michal Wozniak
2014	—	`conf`	Handling Label Noise in Microarray Classification with One-Class Classifier Ensemble. ICT Innovations Bartosz Krawczyk, Michal Wozniak
2014	Misc	`conf`	Hyperspectral Image Analysis Based on Color Channels and Ensemble Classifier. HAIS Bartosz Krawczyk, Pawel Ksieniewicz, Michal Wozniak
2014	—	`conf`	Hyperspectral Image Analysis Based on Quad Tree Decomposition. SOCO-CISIS-ICEUTE Bartosz Krawczyk, Pawel Ksieniewicz, Michal Wozniak
2014	—	`conf`	Hypertension Type Classification Using Hierarchical Ensemble of One-Class Classifiers for Imbalanced Data. ICT Innovations Bartosz Krawczyk, Michal Wozniak
2014	J	`jnl`	Improved Adaptive Splitting and Selection: the Hybrid Training Method of a Classifier Based on a Feature Space Partitioning. Int. J. Neural Syst. Konrad Jackowski, Bartosz Krawczyk, Michal Wozniak
2014	J	`jnl`	Influence of Distance Measures on the Effectiveness of One-Class Classification Ensembles. Appl. Artif. Intell. Bartosz Krawczyk, Michal Wozniak
2014	—	`conf`	Melanoma Classification Based on Ensemble Classification of Dermoscopy Image Features. AMLTA Gerald Schaefer, Bartosz Krawczyk, M. Emre Celebi, Hitoshi Iyatomi, Aboul Ella Hassanien
2014	B	`conf`	New untrained aggregation methods for classifier combination. IJCNN Bartosz Krawczyk, Michal Wozniak
2014	—	`conf`	One-Class Classification Decomposition for Imbalanced Classification of Breast Cancer Malignancy Data. ICAISC (1) Bartosz Krawczyk, Lukasz Jelen, Adam Krzyzak, Thomas Fevens
2014	C	`conf`	One-Class Classification Ensemble with Dynamic Classifier Selection. ISNN Bartosz Krawczyk, Michal Wozniak
2014	—	`conf`	Optimization Algorithms for One-Class Classification Ensemble Pruning. ACIIDS (2) Bartosz Krawczyk, Michal Wozniak
2014	J	`jnl`	Recent Advances in Applied Computational Intelligence. Appl. Artif. Intell. Bartosz Krawczyk, Urszula Markowska-Kaczmar, Halina Kwasnicka
2014	C	`conf`	Untrained Method for Ensemble Pruning and Weighted Combination. ISNN Bartosz Krawczyk, Michal Wozniak
2014	B	`conf`	Weighted One-Class Classifier Ensemble Based on Fuzzy Feature Space Partitioning. ICPR Bartosz Krawczyk, Michal Wozniak, Boguslaw Cyganek
2014	C	`conf`	Weighted one-class classification for different types of minority class examples in imbalanced data. CIDM Bartosz Krawczyk, Michal Wozniak, Francisco Herrera
2013	Misc	`conf`	A cost-sensitive ensemble classifier for breast cancer classification. SACI Bartosz Krawczyk, Gerald Schaefer, Michal Wozniak
2013	—	`conf`	A pruned ensemble classifier for effective breast thermogram analysis. EMBC Bartosz Krawczyk, Gerald Schaefer
2013	—	`conf`	Accuracy and diversity in classifier selection for one-class classification ensembles. CIEL Bartosz Krawczyk, Michal Wozniak
2013	—	`conf`	Adaptive Splitting and Selection Method for Noninvasive Recognition of Liver Fibrosis Stage. ACIIDS (2) Bartosz Krawczyk, Michal Wozniak, Tomasz Orczyk, Piotr Porwik
2013	—	`conf`	An Analysis of Properties of Malignant Cases for Imbalanced Breast Thermogram Feature Classification. ACPR Bartosz Krawczyk, Gerald Schaefer
2013	Misc	`conf`	An improved ensemble approach for imbalanced classification problems. SACI Bartosz Krawczyk, Gerald Schaefer
2013	J	`jnl`	Application of Adaptive Splitting and Selection Classifier to the Spam Filtering Problem. Cybern. Syst. Konrad Jackowski, Bartosz Krawczyk, Michal Wozniak
2013	—	`conf`	Breast Cancer Identification Based on Thermal Analysis and a Clustering and Selection Classification Ensemble. Brain and Health Informatics Bartosz Krawczyk, Gerald Schaefer, Shao Ying Zhu
2013	J	`jnl`	Classifier ensemble for an effective cytological image analysis. Pattern Recognit. Lett. Pawel Filipczuk, Bartosz Krawczyk, Michal Wozniak
2013	C	`conf`	Combining One-Class Support Vector Machines for Microarray Classification. FedCSIS Bartosz Krawczyk
2013	—	`conf`	Combining one-class classifiers for imbalanced classification of breast thermogram features. CIMI Bartosz Krawczyk, Gerald Schaefer, Michal Wozniak
2013	—	`conf`	Cost Sensitive Hierarchical Classifiers for Non-invasive Recognition of Liver Fibrosis Stage. CORES Bartosz Krawczyk, Michal Wozniak, Tomasz Orczyk, Piotr Porwik
2013	Misc	`conf`	Distributed Privacy-Preserving Minimal Distance Classification. HAIS Bartosz Krawczyk, Michal Wozniak
2013	J	`jnl`	E-medical diagnosis support system for non-invasive liver fibrosis recognition. Stud. Inform. Univ. Tomasz Orczyk, Piotr Porwik, Bartosz Krawczyk, Michal Wozniak, Joanna Musialik, Barbara Blonska-Fajfrowska
2013	—	`conf`	HEp-2 Cell Classification Using Multi-dimensional Local Binary Patterns and Ensemble Classification. ACPR Gerald Schaefer, Niraj P. Doshi, Bartosz Krawczyk
2013	A	`conf`	Improved LBP texture classification using ensemble learning. ICME Gerald Schaefer, Bartosz Krawczyk, Niraj P. Doshi
2013	—	`conf`	Incremental Learning and Forgetting in One-Class Classifiers for Data Streams. CORES Bartosz Krawczyk, Michal Wozniak
2013	—	`conf`	Melanoma Classification Using Dermoscopy Imaging and Ensemble Learning. ACPR Gerald Schaefer, Bartosz Krawczyk, M. Emre Celebi, Hitoshi Iyatomi
2013	—	`conf`	On diversity measures for fuzzy one-class classifier ensembles. CIEL Bartosz Krawczyk, Michal Wozniak
2013	J	`jnl`	On optimal settings of classification tree ensembles for medical decision support. Health Informatics J. Mateusz Budnik, Bartosz Krawczyk
2013	—	`conf`	Pruning One-Class Classifier Ensembles by Combining Sphere Intersection and Consistency Measures. ICAISC (1) Bartosz Krawczyk, Michal Wozniak
2013	—	`conf`	Scleroderma capillary pattern identification using texture descriptors and ensemble classification. EMBC Gerald Schaefer, Bartosz Krawczyk, Niraj P. Doshi, Arcangelo Merla
2012	—	`conf`	Adaptive Splitting and Selection Algorithm for Classification of Breast Cytology Images. ICCCI (1) Bartosz Krawczyk, Pawel Filipczuk, Michal Wozniak
2012	—	`conf`	Analysis of Diversity Assurance Methods for Combined Classifiers. IP&C Bartosz Krawczyk, Michal Wozniak
2012	—	`conf`	Breast thermogram analysis using a cost-sensitive multiple classifier system. BHI Bartosz Krawczyk, Gerald Schaefer, Michal Wozniak
2012	—	`conf`	Combined Classifiers with Neural Fuser for Spam Detection. CISIS/ICEUTE/SOCO Special Sessions Marcin Zmyslony, Bartosz Krawczyk, Michal Wozniak
2012	J	`jnl`	Combined classifier based on feature space partitioning. Int. J. Appl. Math. Comput. Sci. Michal Wozniak, Bartosz Krawczyk
2012	—	`conf`	Combining Diverse One-Class Classifiers. HAIS (2) Bartosz Krawczyk, Michal Wozniak
2012	C	`conf`	Cost-Sensitive Splitting and Selection Method for Medical Decision Support System. IDEAL Konrad Jackowski, Bartosz Krawczyk, Michal Wozniak
2012	—	`conf`	Diversity in Ensembles for One-Class Classification. ADBIS Workshops Bartosz Krawczyk
2012	B	`conf`	Effective multiple classifier systems for breast thermogram analysis. ICPR Bartosz Krawczyk, Gerald Schaefer
2012	C	`conf`	Experiments on distance measures for combining one-class classifiers. FedCSIS Bartosz Krawczyk, Michal Wozniak
2012	Misc	`conf`	Oversampling Methods for Classification of Imbalanced Breast Cancer Malignancy Data. ICCVG Bartosz Krawczyk, Lukasz Jelen, Adam Krzyzak, Thomas Fevens
2011	—	`conf`	Designing Cost-Sensitive Ensemble - Genetic Approach. IP&C Bartosz Krawczyk, Michal Wozniak
2011	—	`ch.`	Privacy Preserving Models of Computer Recognition Systems 4 Bartosz Krawczyk, Michal Wozniak