Clustering and Weighted Scoring in Geometric Space Support Vector Machine Ensemble for Highly Imbalanced Data Classification

Ksieniewicz, Paweł and Burduk, Robert

Computational Science – ICCS 2020, 2020

Fake News Detection from Data Streams

Ksieniewicz, Pawel and Zyblewski, Pawel and Choras, Michal and Kozik, Rafal and Gielczyk, Agata and Wozniak, Michal

2020 International Joint Conference on Neural Networks (IJCNN), 2020

Combination of Active and Random Labeling Strategy in the Non-stationary Data Stream Classification

Zyblewski, Paweł and Ksieniewicz, Paweł and Woźniak, Michał

Lecture Notes in Computer Science, 2020
W ramach projektu IDSTREAM

Application of Imbalanced Data Classification Quality Metrics as Weighting Methods of the Ensemble Data Stream Classification Algorithms

Wegier, Weronika and Ksieniewicz, Pawel

Entropy, 2020
W ramach projektu IDSTREAM

Machine Learning Assisted Optimization of Dynamic Crosstalk-Aware Spectrally-Spatially Flexible Optical Networks

Klinkowski, Miroslaw and Ksieniewicz, Pawel and Jaworski, Marek and Zalewski, Grzegorz and Walkowiak, Krzysztof

Journal of Lightwave Technology, 2020

Pattern Recognition Model to Aid the Optimization of Dynamic Spectrally-Spatially Flexible Optical Networks

Ksieniewicz, Paweł and Goścień, Róża and Klinkowski, Mirosław and Walkowiak, Krzysztof

Computational Science – ICCS 2020, 2020

Sentiment Analysis for Fake News Detection by Means of Neural Networks

Kula, Sebastian and Choraś, Michał and Kozik, Rafał and Ksieniewicz, Paweł and Woźniak, Michał

Computational Science – ICCS 2020, 2020

Standard Decision Boundary in a Support-Domain of Fuzzy Classifier Prediction for the Task of Imbalanced Data Classification

Ksieniewicz, Pawel

Computational Science – ICCS 2020, 2020
W ramach projektu IDSTREAM

A Diagnostics of Conveyor Belt Splices

Kozłowski, Tomasz and Wodecki, Jacek and Zimroz, Radosław and Błażej, Ryszard and Hardygóra, Monika

Applied Sciences, 2020

A performance study of dynamic routing algorithm for SDM translucent optical networks with assistive storage

Kmiecik, Wojciech and Walkowiak, Krzysztof

Optical Switching and Networking, 2020

Application of the Stochastic Gradient Method in the Construction of the Main Components of PCA in the Task Diagnosis of Multiple Sclerosis in Children

Topolski, Mariusz

Computational Science – ICCS 2020, 2020

Novel clustering-based pruning algorithms

Zyblewski, Paweł and Woźniak, Michał

Pattern Analysis and Applications, 2020
W ramach projektu IDSTREAM

Employing dropout regularization to classify recurring drifted data streams

Guzy, Filip and Wozniak, Michal

2020 International Joint Conference on Neural Networks (IJCNN), 2020

A Correction Method of a Base Classifier Applied to Imbalanced Data Classification

Trajdos, Pawel and Kurzynski, Marek

Computational Science – ICCS 2020, 2020

Combining Linear Classifiers Using Probability-Based Potential Functions

Trajdos, Pawel and Burduk, Robert

IEEE Access, 2020

Employing One-Class SVM Classifier Ensemble for Imbalanced Data Stream Classification

Klikowski, Jakub and Woźniak, Michał

Computational Science – ICCS 2020, 2020
W ramach projektu IDSTREAM

Imbalanced Data Stream Classification Using Hybrid Data Preprocessing

Bobowska, Barbara and Klikowski, Jakub and Woźniak, Michał

Communications in Computer and Information Science, 2020
W ramach projektu IDSTREAM

Fragmentation Metrics in Spectrally-Spatially Flexible Optical Networks

Lechowicz, Piotr and Tornatore, Massimo and Włodarczyk, Adam and Walkowiak, Krzysztof

Lecture Notes in Computer Science, 2020

Fragmentation metrics and fragmentation-aware algorithm for spectrally/spatially flexible optical networks

Lechowicz, Piotr and Tornatore, Massimo and Włodarczyk, Adam and Walkowiak, Krzysztof

Journal of Optical Communications and Networking, 2020

Predeployment of Transponders for Dynamic Lightpath Provisioning in Translucent Spectrally–Spatially Flexible Optical Networks

Walkowiak, Krzysztof and Klinkowski, Mirosław and Włodarczyk, Adam and Kasprzak, Andrzej

Applied Sciences, 2020

An Algorithm for Provisioning of Time-Varying Traffic in Translucent SDM Elastic Optical Networks

Wlodarczyk, Adam and Lechowicz, Piotr and Szostak, Daniel and Walkowiak, Krzysztof

2020 22nd International Conference on Transparent Optical Networks (ICTON), 2020

Short-Term Traffic Forecasting in Optical Network using Linear Discriminant Analysis Machine Learning Classifier

Szostak, Daniel and Walkowiak, Krzysztof and Wlodarczyk, Adam

2020 22nd International Conference on Transparent Optical Networks (ICTON), 2020

Advanced Oversampling for Improved Detection of Software Anomalies in a Robot

Basurto, Nuño and Woźniak, Michał  and Cambra, Carlos and Herrero, Álvaro

15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020), 2020

Hybrid Intelligent Model to Predict the Remifentanil Infusion Rate in Patients Under General Anesthesia

Jove, Esteban and Gonzalez-Cava, Jose M and Casteleiro-Roca, José-Luis and Quintián, Héctor and Méndez Pérez, Juan Albino and Vega Vega, Rafael and Zayas-Gato, Francisco and de Cos Juez, Francisco Javier and León, Ana and MartÍn, María and et al.

Logic Journal of the IGPL, 2020

Employing Decision Templates to Imbalanced Data Classification

Wojciechowski, Szymon and Woźniak, Michał

Hybrid Artificial Intelligent Systems, 2020
W ramach projektu IDSTREAM

Latency-aware flow allocation in 5G NGFI networks

Klinkowski, Miroslaw and Mrozinski, Damian

2020 22nd International Conference on Transparent Optical Networks (ICTON), 2020

Monte Carlo Tree Search with Last-Good-Reply Policy for Cognitive Optimization of Cloud-Ready Optical Networks

Aibin, Michal and Walkowiak, Krzysztof

Journal of Network and Systems Management, 2020

Dynamic Classifier Selection for Data with Skewed Class Distribution Using Imbalance Ratio and Euclidean Distance

Zyblewski, Paweł and Woźniak, Michał

Computational Science – ICCS 2020, 2020
W ramach projektu IDSTREAM

Decision Tree Integration Using Dynamic Regions of Competence

Biedrzycki, Jędrzej and Burduk, Robert

Entropy, 2020

Splitting the fitness and penalty factor for temporal diversity increase in practical problem solving

Przewozniczek, Michal Witold and Datta, Rituparna and Walkowiak, Krzysztof and Komarnicki, Marcin Michal

Expert Systems with Applications, 2020

Computational Intelligence in Remote Sensing: An Editorial

Graña, Manuel and Wozniak, Michal and Rios, Sebastian and de Lope, Javier

Sensors, 2020

Combined Cleaning and Resampling algorithm for multi-class imbalanced data with label noise

Koziarski, Michał and Woźniak, Michał and Krawczyk, Bartosz

Knowledge-Based Systems, 2020

Data Preprocessing and Dynamic Ensemble Selection for Imbalanced Data Stream Classification

Zyblewski, Paweł and Sabourin, Robert and Woźniak, Michał

Communications in Computer and Information Science, 2020
W ramach projektu IDSTREAM

Data Preprocessing for des-knn and Its Application to Imbalanced Medical Data Classification

Kinal, Maciej and Woźniak, Michał

Lecture Notes in Computer Science, 2020
W ramach projektu IDSTREAM

Dynamic Ensemble Selection – Application to Classification of Cutting Tools

Heda, Paulina and Rojek, Izabela and Burduk, Robert

Lecture Notes in Computer Science, 2020

Novel Approach to Gentle AdaBoost Algorithm with Linear Weak Classifiers

Burduk, Robert and Bożejko, Wojciech and Zacher, Szymon

Lecture Notes in Computer Science, 2020

Weighted Scoring in Geometric Space for Decision Tree Ensemble

Biedrzycki, Jedrzej and Burduk, Robert

IEEE Access, 2020

Performance Analysis of Binarization Strategies for Multi-class Imbalanced Data Classification

Żak, Michał and Woźniak, Michał

Computational Science – ICCS 2020, 2020

Radial-Based Oversampling for Multiclass Imbalanced Data Classification

Krawczyk, Bartosz and Koziarski, Michal and Wozniak, Michal

IEEE Transactions on Neural Networks and Learning Systems, 2020

Special Issue SOCO 2017: New trends in soft computing and its application in industrial and environmental problems

Herrera, Francisco and Abraham, Ajith and Woźniak, Michał and Pérez, Hilde and Corchado, Emilio

Neurocomputing, 2020

Transponder Placement for Dynamic Lightpath Provisioning in Survivable Translucent Optical Networks

Walkowiak, Krzysztof and Goscien, Roza and Lechowicz, Piotr and Wlodarczyk, Adam and Klinkowski, Miroslaw

2020 22nd International Conference on Transparent Optical Networks (ICTON), 2020

Empirical Linkage Learning

Przewozniczek, Michal Witold and Komarnicki, Marcin Michal

IEEE Transactions on Evolutionary Computation, 2020

Subpopulation initialization driven by linkage learning for dealing with the Long-Way-To-Stuck effect

Przewoźniczek, Michał Witold

Information Sciences, 2020

Comparative mixing for DSMGA-II

Komarnicki, Marcin M. and Przewozniczek, Michal W. and Durda, Tomasz M.

Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 2020

Empirical linkage learning

Przewozniczek, Michal W. and Komarnicki, Marcin M.

Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020

Metaheuristic algorithms with solution encoding mixing for effective optimization of SDM optical networks

Przewozniczek, Michal Witold and Goścień, Róża and Lechowicz, Piotr and Walkowiak, Krzysztof

Engineering Applications of Artificial Intelligence, 2020

On measuring and improving the quality of linkage learning in modern evolutionary algorithms applied to solve partially additively separable problems

Przewozniczek, Michal W. and Frej, Bartosz and Komarnicki, Marcin M.

Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 2020

Parameter-Less Population Pyramid for Permutation-Based Problems

Wozniak, Szymon and Przewozniczek, Michal W. and Komarnicki, Marcin M.

Lecture Notes in Computer Science, 2020

Scalable distributed evolutionary algorithm orchestration using Docker containers

Dziurzanski, Piotr and Zhao, Shuai and Przewozniczek, Michal and Komarnicki, Marcin and Indrusiak, Leandro Soares

Journal of Computational Science, 2020

Training set selection and swarm intelligence for enhanced integration in multiple classifier systems

Mohammed, Amgad M. and Onieva, Enrique and Woźniak, Michał

Applied Soft Computing, 2020
W ramach projektu IDSTREAM