Pawel Ksieniewicz

75 papers B 7Misc 4Journal 33Unranked 29
YearRankTypeTitle / Venue / Authors
2026 J jnl
Structuring the processing frameworks for data stream evaluation and application.
Pattern Recognit.
Joanna Komorniczak, Pawel Ksieniewicz, Pawel Zyblewski
2025 — ed.
Computer Security. ESORICS 2024 International Workshops - SECAI, DisA, CPS4CIP, and SecAssure, Bydgoszcz, Poland, September 16-20, 2024, Revised Selected Papers, Part II
ESORICS Workshops (2)
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
2025 J jnl
Taking class imbalance into account in open set recognition evaluation.
Neural Comput. Appl.
Joanna Komorniczak, Pawel Ksieniewicz
2024 J jnl
Certainty-Based Neural Network Architecture Selection Framework for TinyML Systems.
IEEE Access
Joanna Komorniczak, Tobiasz Puslecki, Pawel Ksieniewicz, Krzysztof Walkowiak
2024 — conf
Classification of Recurrent Concepts with Metafeature-based Model Selection.
ICDM (Workshops)
Joanna Komorniczak, Pawel Ksieniewicz
2024 J jnl
Distance profile layer for binary classification and density estimation.
Neurocomputing
Joanna Komorniczak, Pawel Ksieniewicz
2024 J jnl
Employing Sentence Space Embedding for Classification of Data Stream from Fake News Domain.
CoRR
Pawel Zyblewski, Jakub Klikowski, Weronika Borek-Marciniec, Pawel Ksieniewicz
2024 — conf
Involving Society to Protect Society from Fake News and Disinformation: Crowdsourced Datasets and Text Reliability Assessment.
ACIIDS (2)
Gracjan Katek, Marta Gackowska, Joanna Komorniczak, Pawel Ksieniewicz, Rafal Kozik, Marek Pawlicki, Michal Choras
2024 J jnl
On metafeatures' ability of implicit concept identification.
Mach. Learn.
Joanna Komorniczak, Pawel Ksieniewicz
2024 J jnl
Structuring the Processing Frameworks for Data Stream Evaluation and Application.
CoRR
Joanna Komorniczak, Pawel Ksieniewicz, Pawel Zyblewski
2024 J jnl
Taking Class Imbalance Into Account in Open Set Recognition Evaluation.
CoRR
Joanna Komorniczak, Pawel Ksieniewicz
2024 J jnl
Towards explainable fake news detection and automated content credibility assessment: Polish internet and digital media use-case.
Neurocomputing
Rafal Kozik, Gracjan Katek, Marta Gackowska, Sebastian Kula, Joanna Komorniczak, Pawel Ksieniewicz, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
2024 — conf
Unsupervised Concept Drift Detection Based on Parallel Activations of Neural Network.
DELTA
Joanna Komorniczak, Pawel Ksieniewicz
2024 J jnl
Unsupervised Concept Drift Detection based on Parallel Activations of Neural Network.
CoRR
Joanna Komorniczak, Pawel Ksieniewicz
2024 J jnl
WarCov - Large multilabel and multimodal dataset from social platform.
CoRR
Weronika Borek-Marciniec, Pawel Zyblewski, Jakub Klikowski, Pawel Ksieniewicz
2023 J jnl
Active Weighted Aging Ensemble for drifted data stream classification.
Inf. Sci.
Michal Wozniak, Pawel Zyblewski, Pawel Ksieniewicz
2023 — conf
Analysis of the Possibility to Employ Relationship Between the Problem Complexity and the Classification Quality as Model Optimization Proxy.
CORES/IP&C
Joanna Komorniczak, Pawel Ksieniewicz, Michal Wozniak
2023 J jnl
Complexity-based drift detection for nonstationary data streams.
Neurocomputing
Joanna Komorniczak, Pawel Ksieniewicz
2023 — conf
Hollow n-grams Vectorizer for Natural Language Processing Problems.
CORES/IP&C
Weronika Borek-Marciniec, Pawel Ksieniewicz
2023 — conf
Incremental Extreme Learning Machine for Binary Data Stream Classification.
CORES/IP&C
Karol Wojtachnia, Joanna Komorniczak, Pawel Ksieniewicz
2023 J jnl
Neural network architecture with intermediate distribution-driven layer for classification of multidimensional data with low class separability.
Appl. Intell.
Weronika Borek-Marciniec, Pawel Ksieniewicz
2023 J jnl
Processing data stream with chunk-similarity model selection.
Appl. Intell.
Pawel Ksieniewicz
2023 — ed.
Progress on Pattern Classification, Image Processing and Communications - Proceedings of the CORES and IP&C Conferences 2023, Wrocław, Poland.
CORES/IP&C
Robert Burduk, Michal Choras, Rafal Kozik, Pawel Ksieniewicz, Tomasz Marciniak, Pawel Trajdos
2023 — conf
SWAROG Project Approach to Fake News Detection Problem.
CISIS-ICEUTE
Rafal Kozik, Joanna Komorniczak, Pawel Ksieniewicz, Aleksandra Pawlicka, Marek Pawlicki, Michal Choras
2023 J jnl
torchosr - a PyTorch extension package for Open Set Recognition models evaluation in Python.
CoRR
Joanna Komorniczak, Pawel Ksieniewicz
2022 — conf
Data complexity and classification accuracy correlation in oversampling algorithms.
LIDTA
Joanna Komorniczak, Pawel Ksieniewicz, Michal Wozniak
2022 B conf
Data stream generation through real concept's interpolation.
ESANN
Joanna Komorniczak, Pawel Ksieniewicz
2022 J jnl
Efficient dynamic routing in Spectrally-Spatially Flexible Optical Networks based on traffic categorization and supervised learning methods.
Opt. Switch. Netw.
Róza Goscien, Pawel Ksieniewicz
2022 B conf
Feature Integration Strategies for Multilingual Fake News Classification.
IEEE Big Data
Jedrzej Kozal, Michal Les, Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak
2022 J jnl
Hybrid Regression Model for Link Dimensioning in Spectrally-Spatially Flexible Optical Networks.
IEEE Access
Szymon Wojciechowski, Róza Goscien, Pawel Ksieniewicz, Krzysztof Walkowiak
2022 B conf
Imbalanced Data Stream Classification Assisted by Prior Probability Estimation.
IJCNN
Joanna Komorniczak, Pawel Zyblewski, Pawel Ksieniewicz
2022 B conf
Inductive Parallel Learning for Multiple Classification Problems.
IJCNN
Weronika Borek, Pawel Ksieniewicz
2022 J jnl
Lifelong Learning Natural Language Processing Approach for Multilingual Data Classification.
CoRR
Jedrzej Kozal, Michal Les, Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak
2022 J jnl
Statistical Drift Detection Ensemble for batch processing of data streams.
Knowl. Based Syst.
Joanna Komorniczak, Pawel Zyblewski, Pawel Ksieniewicz
2022 J jnl
problexity - an open-source Python library for binary classification problem complexity assessment.
CoRR
Joanna Komorniczak, Pawel Ksieniewicz
2021 J jnl
Active Weighted Aging Ensemble for Drifted Data Stream Classification.
CoRR
Michal Wozniak, Pawel Zyblewski, Pawel Ksieniewicz
2021 J jnl
Advanced Machine Learning Techniques for Fake News (Online Disinformation) Detection: A Systematic Mapping Study.
CoRR
Michal Choras, Konstantinos P. Demestichas, Agata Gielczyk, Álvaro Herrero, Pawel Ksieniewicz, Konstantina Remoundou, Daniel Urda, Michal Wozniak
2021 J jnl
Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study.
Appl. Soft Comput.
Michal Choras, Konstantinos P. Demestichas, Agata Gielczyk, Álvaro Herrero, Pawel Ksieniewicz, Konstantina Remoundou, Daniel Urda, Michal Wozniak
2021 — conf
Analysis of Variance Application in the Construction of Classifier Ensemble Based on Optimal Feature Subset for the Task of Supporting Glaucoma Diagnosis.
ICCS (3)
Dominika Sulot, Pawel Zyblewski, Pawel Ksieniewicz
2021 J jnl
Fusion of linear base classifiers in geometric space.
Knowl. Based Syst.
Pawel Ksieniewicz, Pawel Zyblewski, Robert Burduk
2021 J jnl
How to design the fair experimental classifier evaluation.
Appl. Soft Comput.
Katarzyna Stapor, Pawel Ksieniewicz, Salvador García, Michal Wozniak
2021 B conf
Prior Probability Estimation in Dynamically Imbalanced Data Streams.
IJCNN
Joanna Komorniczak, Pawel Zyblewski, Pawel Ksieniewicz
2021 J jnl
The prior probability in the batch classification of imbalanced data streams.
Neurocomputing
Pawel Ksieniewicz
2020 J jnl
Application of Imbalanced Data Classification Quality Metrics as Weighting Methods of the Ensemble Data Stream Classification Algorithms.
Entropy
Weronika Wegier, Pawel Ksieniewicz
2020 — conf
Clustering and Weighted Scoring in Geometric Space Support Vector Machine Ensemble for Highly Imbalanced Data Classification.
ICCS (4)
Pawel Ksieniewicz, Robert Burduk
2020 — conf
Combination of Active and Random Labeling Strategy in the Non-stationary Data Stream Classification.
ICAISC (1)
Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak
2020 B conf
Fake News Detection from Data Streams.
IJCNN
Pawel Ksieniewicz, Pawel Zyblewski, Michal Choras, Rafal Kozik, Agata Gielczyk, Michal Wozniak
2020 — conf
Pattern Recognition Model to Aid the Optimization of Dynamic Spectrally-Spatially Flexible Optical Networks.
ICCS (4)
Pawel Ksieniewicz, Róza Goscien, Miroslaw Klinkowski, Krzysztof Walkowiak
2020 — conf
Sentiment Analysis for Fake News Detection by Means of Neural Networks.
ICCS (4)
Sebastian Kula, Michal Choras, Rafal Kozik, Pawel Ksieniewicz, Michal Wozniak
2020 — conf
Standard Decision Boundary in a Support-Domain of Fuzzy Classifier Prediction for the Task of Imbalanced Data Classification.
ICCS (4)
Pawel Ksieniewicz
2020 J jnl
stream-learn - open-source Python library for difficult data stream batch analysis.
CoRR
Pawel Ksieniewicz, Pawel Zyblewski
2019 — conf
A Genetic-Based Ensemble Learning Applied to Imbalanced Data Classification.
IDEAL (2)
Jakub Klikowski, Pawel Ksieniewicz, Michal Wozniak
2019 — conf
Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble.
ICAISC (1)
Pawel Zyblewski, Pawel Ksieniewicz, Michal Wozniak
2019 Misc conf
Combining Random Subspace Approach with smote Oversampling for Imbalanced Data Classification.
HAIS
Pawel Ksieniewicz
2019 J jnl
Data stream classification using active learned neural networks.
Neurocomputing
Pawel Ksieniewicz, Michal Wozniak, Boguslaw Cyganek, Andrzej Kasprzak, Krzysztof Walkowiak
2019 — conf
Imbalance Reduction Techniques Applied to ECG Classification Problem.
IDEAL (2)
Jedrzej Kozal, Pawel Ksieniewicz
2019 — conf
Machine Learning Methods for Fake News Classification.
IDEAL (2)
Pawel Ksieniewicz, Michal Choras, Rafal Kozik, Michal Wozniak
2019 — conf
SMOTE Algorithm Variations in Balancing Data Streams.
IDEAL (2)
Bogdan Gulowaty, Pawel Ksieniewicz
2018 B conf
An Empirical Insight Into Concept Drift Detectors Ensemble Strategies.
CEC
Andrzej Lapinski, Bartosz Krawczyk, Pawel Ksieniewicz, Michal Wozniak
2018 — conf
Combined Classifier Based on Quantized Subspace Class Distribution.
IDEAL (1)
Pawel Ksieniewicz
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 — conf
Imbalanced Data Classification Based on Feature Selection Techniques.
IDEAL (2)
Pawel Ksieniewicz, Michal Wozniak
2018 — conf
Undersampled Majority Class Ensemble for highly imbalanced binary classification.
LIDTA@ECML/PKDD
Pawel Ksieniewicz
2017 — conf
Dealing with the task of imbalanced, multidimensional data classification using ensembles of exposers.
LIDTA@PKDD/ECML
Pawel Ksieniewicz, Michal Wozniak
2017 J jnl
Paired feature multilayer ensemble - concept and evaluation of a classifier.
J. Intell. Fuzzy Syst.
Pawel Ksieniewicz, Manuel Graña, Michal Wozniak
2016 — conf
A First Attempt to Construct Effective Concept Drift Detector Ensembles.
IP&C
Michal Wozniak, Pawel Ksieniewicz, Andrzej Kasprzak, Karol Puchala, Przemyslaw Ryba
2016 Misc conf
Active Learning Classification of Drifted Streaming Data.
ICCS
Michal Wozniak, Pawel Ksieniewicz, Boguslaw Cyganek, Andrzej Kasprzak, Krzysztof Walkowiak
2016 Misc conf
Active Learning Classifier for Streaming Data.
HAIS
Michal Wozniak, Boguslaw Cyganek, Andrzej Kasprzak, Pawel Ksieniewicz, Krzysztof Walkowiak
2016 — conf
Ensemble of One-Dimensional Classifiers for Hyperspectral Image Analysis.
DMBD
Pawel Ksieniewicz, Bartosz Krawczyk, Michal Wozniak
2016 — conf
Ensembles of Heterogeneous Concept Drift Detectors - Experimental Study.
CISIM
Michal Wozniak, Pawel Ksieniewicz, Boguslaw Cyganek, Krzysztof Walkowiak
2015 J jnl
A novel hyperspectral segmentation algorithm - concept and evaluation.
Log. J. IGPL
Pawel Ksieniewicz, Dariusz Jankowski, Borja Ayerdi, Konrad Jackowski, Manuel Graña, Michal Wozniak
2015 — conf
Artificial Photoreceptors for Ensemble Classification of Hyperspectral Images.
CORES
Pawel Ksieniewicz, Michal Wozniak
2015 — conf
Blurred Labeling Segmentation Algorithm for Hyperspectral Images.
ICCCI (2)
Pawel Ksieniewicz, Manuel Graña, 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