Publikacje Katedry Systemów i Sieci Komputerowych z roku 2021
2011
28
2012
17
2013
43
2014
57
2015
44
2016
49
2017
29
2018
27
2019
2020
42
2021
25
Analysis of Variance Application in the Construction of Classifier Ensemble Based on Optimal Feature Subset for the Task of Supporting Glaucoma Diagnosis
Sułot, Dominika and Zyblewski, Paweł and Ksieniewicz, Paweł
Lecture Notes in Computer Science, 2021
Glaucoma classification based on scanning laser ophthalmoscopic images using a deep learning ensemble method
Sułot, Dominika and Alonso-Caneiro, David and Ksieniewicz, Paweł and Krzyzanowska-Berkowska, Patrycja and Iskander, D. Robert
PLOS ONE, 2021
How to design the fair experimental classifier evaluation
Stapor, Katarzyna and Ksieniewicz, Paweł and García, Salvador and Woźniak, Michał
Applied Soft Computing, 2021
Fusion of linear base classifiers in geometric space
Ksieniewicz, Paweł and Zyblewski, Paweł and Burduk, Robert
Knowledge-Based Systems, 2021
Application of Multi-objective Optimization to Feature Selection for a Difficult Data Classification Task
Grzyb, Joanna and Topolski, Mariusz and Woźniak, Michał
Fragmentation-Aware Traffic Grooming with Lane Changes in Spectrally–Spatially Flexible Optical Networks
Lechowicz, Piotr and Knapińska, Aleksandra and Goścień, Róża
Electronics, 2021
Application of Feature Extraction Methods for Chemical Risk Classification in the Pharmaceutical Industry
Topolski, Mariusz
Sensors, 2021
Cyber-Attack Detection from IoT Benchmark Considered as Data Streams
Zyblewski, Paweł and Pawlicki, Marek and Kozik, Rafał and Choraś, Michał
Lecture Notes in Networks and Systems, 2021
Clustering-Based Ensemble Pruning in the Imbalanced Data Classification
Zyblewski, Paweł
Lecture Notes in Computer Science, 2021 W ramach projektu IDSTREAM
Building an Ensemble of Classifiers via Randomized Models of Ensemble Members
Trajdos, Pawel and Kurzynski, Marek
Soft Confusion Matrix Classifier for Stream Classification
Modeling and Prediction of Daily Traffic Patterns—WASK and SIX Case Study
Goścień, Róża and Knapińska, Aleksandra and Włodarczyk, Adam
Clustering and Weighted Scoring Algorithm Based on Estimating the Number of Clusters
Klikowski, Jakub and Burduk, Robert
Lecture Notes in Computer Science, 2021 W ramach projektu GEOM
Hellinger Distance Weighted Ensemble for imbalanced data stream classification
Grzyb, Joanna and Klikowski, Jakub and Woźniak, Michał
Journal of Computational Science, 2021 W ramach projektu IDSTREAM
Distance Metrics in Clustering and Weighted Scoring Algorithm
Lecture Notes in Networks and Systems, 2021 W ramach projektu GEOM
Machine Learning Classification and Regression Approaches for Optical Network Traffic Prediction
Szostak, Daniel and Włodarczyk, Adam and Walkowiak, Krzysztof
Multi-objective Evolutionary Undersampling Algorithm for Imbalanced Data Classification
Wojciechowski, Szymon
Advanced Machine Learning techniques for fake news (online disinformation) detection: A systematic mapping study
Choraś, Michał and Demestichas, Konstantinos and Giełczyk, Agata and Herrero, Álvaro and Ksieniewicz, Paweł and Remoundou, Konstantina and Urda, Daniel and Woźniak, Michał
Machine-Learning Based Prediction of Multiple Types of Network Traffic
Knapińska, Aleksandra and Lechowicz, Piotr and Walkowiak, Krzysztof
Linear classifier combination via multiple potential functions
Trajdos, Pawel and Burduk, Robert
Pattern Recognition, 2021 W ramach projektu GEOM
Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams
Zyblewski, Paweł and Sabourin, Robert and Woźniak, Michał
Information Fusion, 2021
Transformer Based Models in Fake News Detection
Kula, Sebastian and Kozik, Rafał and Choraś, Michał and Woźniak, Michał
The prior probability in the batch classification of imbalanced data streams
Ksieniewicz, Paweł
Neurocomputing, 2021
Prior Probability Estimation in Dynamically Imbalanced Data Streams
Komorniczak, Joanna and Zyblewski, Pawel and Ksieniewicz, Pawel
2021 International Joint Conference on Neural Networks (IJCNN), 2021
Dynamic Ensemble Selection for Imbalanced Data Stream Classification with Limited Label Access
Zyblewski, Paweł and Woźniak, Michał