Pawel Ksieniewicz

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 64

Top Topics

Ensemble Classification

Top Venues

Publications

Joanna Komorniczak, Pawel Ksieniewicz
. Neurocomputing 566 (2024)
Joanna Komorniczak, Pawel Ksieniewicz
Unsupervised Concept Drift Detection based on Parallel Activations of Neural Network. CoRR (2024)
Joanna Komorniczak, Pawel Ksieniewicz
Taking Class Imbalance Into Account in Open Set Recognition Evaluation. CoRR (2024)
Gracjan Katek, Marta Gackowska, Joanna Komorniczak, Pawel Ksieniewicz, Rafal Kozik, Marek Pawlicki, Michal Choras
Involving Society to Protect Society from Fake News and Disinformation: Crowdsourced Datasets and Text Reliability Assessment. ACIIDS (2) (2024)
Joanna Komorniczak, Pawel Ksieniewicz
Distance profile layer for binary classification and density estimation. Neurocomputing 579 (2024)
Pawel Zyblewski, Jakub Klikowski, Weronika Borek-Marciniec, Pawel Ksieniewicz
Employing Sentence Space Embedding for Classification of Data Stream from Fake News Domain. CoRR (2024)
Weronika Borek-Marciniec, Pawel Zyblewski, Jakub Klikowski, Pawel Ksieniewicz
WarCov - Large multilabel and multimodal dataset from social platform. CoRR (2024)
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)
Joanna Komorniczak, Pawel Ksieniewicz
library for supervised learning problem complexity assessment. Neurocomputing 521 (2023)
Weronika Borek-Marciniec, Pawel Ksieniewicz
Neural network architecture with intermediate distribution-driven layer for classification of multidimensional data with low class separability. Appl. Intell. 53 (21) (2023)
Joanna Komorniczak, Pawel Ksieniewicz
torchosr - a PyTorch extension package for Open Set Recognition models evaluation in Python. CoRR (2023)
Pawel Ksieniewicz, Pawel Zyblewski, Weronika Borek-Marciniec, Rafal Kozik, Michal Choras, Michal Wozniak
as a variant of n-gram feature extraction method in ensemble classification of fake news. Eng. Appl. Artif. Intell. 120 (2023)
Weronika Borek-Marciniec, Pawel Ksieniewicz
Hollow n-grams Vectorizer for Natural Language Processing Problems. CORES/IP&C (2023)
Pawel Ksieniewicz
Processing data stream with chunk-similarity model selection. Appl. Intell. 53 (7) (2023)
Rafal Kozik, Joanna Komorniczak, Pawel Ksieniewicz, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
SWAROG Project Approach to Fake News Detection Problem. CISIS-ICEUTE (2023)
Joanna Komorniczak, Pawel Ksieniewicz
Complexity-based drift detection for nonstationary data streams. Neurocomputing 552 (2023)
Michal Wozniak, Pawel Zyblewski, Pawel Ksieniewicz
Active Weighted Aging Ensemble for drifted data stream classification. Inf. Sci. 630 (2023)
Karol Wojtachnia, Joanna Komorniczak, Pawel Ksieniewicz
Incremental Extreme Learning Machine for Binary Data Stream Classification. CORES/IP&C (2023)
Joanna Komorniczak, Pawel Ksieniewicz
problexity - an open-source Python library for binary classification problem complexity assessment. CoRR (2022)
Pawel Ksieniewicz, Pawel Zyblewski
library for difficult data stream batch analysis. Neurocomputing 478 (2022)
Joanna Komorniczak, Pawel Ksieniewicz, Michal Wozniak
Data complexity and classification accuracy correlation in oversampling algorithms. LIDTA (2022)
Weronika Borek, Pawel Ksieniewicz
Inductive Parallel Learning for Multiple Classification Problems. IJCNN (2022)
Szymon Wojciechowski, Róza Goscien, Pawel Ksieniewicz, Krzysztof Walkowiak
Hybrid Regression Model for Link Dimensioning in Spectrally-Spatially Flexible Optical Networks. IEEE Access 10 (2022)
Jedrzej Kozal, Michal Les, Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak
Lifelong Learning Natural Language Processing Approach for Multilingual Data Classification. CoRR (2022)
Joanna Komorniczak, Pawel Ksieniewicz
Data stream generation through real concept's interpolation. ESANN (2022)
Róza Goscien, Pawel Ksieniewicz
Efficient dynamic routing in Spectrally-Spatially Flexible Optical Networks based on traffic categorization and supervised learning methods. Opt. Switch. Netw. 43 (2022)
Joanna Komorniczak, Pawel Zyblewski, Pawel Ksieniewicz
Statistical Drift Detection Ensemble for batch processing of data streams. Knowl. Based Syst. 252 (2022)
Joanna Komorniczak, Pawel Zyblewski, Pawel Ksieniewicz
Imbalanced Data Stream Classification Assisted by Prior Probability Estimation. IJCNN (2022)
Jedrzej Kozal, Michal Les, Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak
Feature Integration Strategies for Multilingual Fake News Classification. Big Data (2022)
Pawel Ksieniewicz, Pawel Zyblewski, Robert Burduk
Fusion of linear base classifiers in geometric space. Knowl. Based Syst. 227 (2021)
Katarzyna Stapor, Pawel Ksieniewicz, Salvador García, Michal Wozniak
How to design the fair experimental classifier evaluation. Appl. Soft Comput. 104 (2021)
Pawel Ksieniewicz
The prior probability in the batch classification of imbalanced data streams. Neurocomputing 452 (2021)
Dominika Sulot, Pawel Zyblewski, Pawel Ksieniewicz
Analysis of Variance Application in the Construction of Classifier Ensemble Based on Optimal Feature Subset for the Task of Supporting Glaucoma Diagnosis. ICCS (3) (2021)
Joanna Komorniczak, Pawel Zyblewski, Pawel Ksieniewicz
Prior Probability Estimation in Dynamically Imbalanced Data Streams. IJCNN (2021)
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 (2021)
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 (2021)
Michal Wozniak, Pawel Zyblewski, Pawel Ksieniewicz
Active Weighted Aging Ensemble for Drifted Data Stream Classification. CoRR (2021)
Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak
Combination of Active and Random Labeling Strategy in the Non-stationary Data Stream Classification. ICAISC (1) (2020)
Pawel Ksieniewicz, Róza Goscien, Miroslaw Klinkowski, Krzysztof Walkowiak
Pattern Recognition Model to Aid the Optimization of Dynamic Spectrally-Spatially Flexible Optical Networks. ICCS (4) (2020)
Pawel Ksieniewicz
Standard Decision Boundary in a Support-Domain of Fuzzy Classifier Prediction for the Task of Imbalanced Data Classification. ICCS (4) (2020)
Weronika Wegier, Pawel Ksieniewicz
Application of Imbalanced Data Classification Quality Metrics as Weighting Methods of the Ensemble Data Stream Classification Algorithms. Entropy 22 (8) (2020)
Pawel Ksieniewicz, Robert Burduk
Clustering and Weighted Scoring in Geometric Space Support Vector Machine Ensemble for Highly Imbalanced Data Classification. ICCS (4) (2020)
Pawel Ksieniewicz, Pawel Zyblewski, Michal Choras, Rafal Kozik, Agata Gielczyk, Michal Wozniak
Fake News Detection from Data Streams. IJCNN (2020)
Pawel Ksieniewicz, Pawel Zyblewski
stream-learn - open-source Python library for difficult data stream batch analysis. CoRR (2020)
Sebastian Kula, Michal Choras, Rafal Kozik, Pawel Ksieniewicz, Michal Wozniak
Sentiment Analysis for Fake News Detection by Means of Neural Networks. ICCS (4) (2020)
Jedrzej Kozal, Pawel Ksieniewicz
Imbalance Reduction Techniques Applied to ECG Classification Problem. IDEAL (2) (2019)
Pawel Ksieniewicz, Michal Wozniak, Boguslaw Cyganek, Andrzej Kasprzak, Krzysztof Walkowiak
Data stream classification using active learned neural networks. Neurocomputing 353 (2019)
Pawel Ksieniewicz, Michal Choras, Rafal Kozik, Michal Wozniak
Machine Learning Methods for Fake News Classification. IDEAL (2) (2019)
Jakub Klikowski, Pawel Ksieniewicz, Michal Wozniak
A Genetic-Based Ensemble Learning Applied to Imbalanced Data Classification. IDEAL (2) (2019)
Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak
Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble. ICAISC (1) (2019)
Bogdan Gulowaty, Pawel Ksieniewicz
SMOTE Algorithm Variations in Balancing Data Streams. IDEAL (2) (2019)
Pawel Ksieniewicz
Combining Random Subspace Approach with smote Oversampling for Imbalanced Data Classification. HAIS (2019)
Pawel Ksieniewicz
Undersampled Majority Class Ensemble for highly imbalanced binary classification. LIDTA@ECML/PKDD (2018)
Andrzej Lapinski, Bartosz Krawczyk, Pawel Ksieniewicz, Michal Wozniak
An Empirical Insight Into Concept Drift Detectors Ensemble Strategies. CEC (2018)
Pawel Ksieniewicz
Combined Classifier Based on Quantized Subspace Class Distribution. IDEAL (1) (2018)
Pawel Ksieniewicz, Bartosz Krawczyk, Michal Wozniak
Ensemble of Extreme Learning Machines with trained classifier combination and statistical features for hyperspectral data. Neurocomputing 271 (2018)
Pawel Ksieniewicz, Michal Wozniak
Imbalanced Data Classification Based on Feature Selection Techniques. IDEAL (2) (2018)
Pawel Ksieniewicz, Michal Wozniak
Dealing with the task of imbalanced, multidimensional data classification using ensembles of exposers. LIDTA@PKDD/ECML (2017)
Pawel Ksieniewicz, Manuel Graña, Michal Wozniak
Paired feature multilayer ensemble - concept and evaluation of a classifier. J. Intell. Fuzzy Syst. 32 (2) (2017)
Pawel Ksieniewicz, Bartosz Krawczyk, Michal Wozniak
Ensemble of One-Dimensional Classifiers for Hyperspectral Image Analysis. DMBD (2016)
Michal Wozniak, Pawel Ksieniewicz, Boguslaw Cyganek, Krzysztof Walkowiak
Ensembles of Heterogeneous Concept Drift Detectors - Experimental Study. CISIM (2016)
Michal Wozniak, Pawel Ksieniewicz, Boguslaw Cyganek, Andrzej Kasprzak, Krzysztof Walkowiak
Active Learning Classification of Drifted Streaming Data. ICCS (2016)
Michal Wozniak, Boguslaw Cyganek, Andrzej Kasprzak, Pawel Ksieniewicz, Krzysztof Walkowiak
Active Learning Classifier for Streaming Data. HAIS (2016)
Michal Wozniak, Pawel Ksieniewicz, Andrzej Kasprzak, Karol Puchala, Przemyslaw Ryba
A First Attempt to Construct Effective Concept Drift Detector Ensembles. IP&C (2016)
Pawel Ksieniewicz, Manuel Graña, Michal Wozniak
Blurred Labeling Segmentation Algorithm for Hyperspectral Images. ICCCI (2) (2015)
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) (2015)
Pawel Ksieniewicz, Michal Wozniak
Artificial Photoreceptors for Ensemble Classification of Hyperspectral Images. CORES (2015)
Bartosz Krawczyk, Pawel Ksieniewicz, Michal Wozniak
Hyperspectral Image Analysis Based on Quad Tree Decomposition. SOCO-CISIS-ICEUTE (2014)
Bartosz Krawczyk, Pawel Ksieniewicz, Michal Wozniak
Hyperspectral Image Analysis Based on Color Channels and Ensemble Classifier. HAIS (2014)