Combining Random Subspace Approach with smote Oversampling for Imbalanced Data Classification

Ksieniewicz, Pawel

Hybrid Artificial Intelligent Systems, 2019

Data stream classification using active learned neural networks

Ksieniewicz, Paweł and Woźniak, Michał and Cyganek, Bogusław and Kasprzak, Andrzej and Walkowiak, Krzysztof

Neurocomputing, 2019

A Genetic-Based Ensemble Learning Applied to Imbalanced Data Classification

Klikowski, Jakub and Ksieniewicz, Paweł and Woźniak, Michał

Lecture Notes in Computer Science, 2019
W ramach projektu IDSTREAM

Classifier Selection for Highly Imbalanced Data Streams with Minority Driven Ensemble

Zyblewski, Paweł and Ksieniewicz, Paweł and Woźniak, Michał

Lecture Notes in Computer Science, 2019
W ramach projektu IDSTREAM

Imbalance Reduction Techniques Applied to ECG Classification Problem

Kozal, Jȩdrzej and Ksieniewicz, Paweł

Lecture Notes in Computer Science, 2019

Machine Learning Methods for Fake News Classification

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

Lecture Notes in Computer Science, 2019

SMOTE Algorithm Variations in Balancing Data Streams

Gulowaty, Bogdan and Ksieniewicz, Paweł

Lecture Notes in Computer Science, 2019

Algorithm of Multidimensional Analysis of Main Features of PCA with Blurry Observation of Facility Features Detection of Carcinoma Cells Multiple Myeloma

Topolski, Mariusz

Progress in Computer Recognition Systems, 2019

Algorithm for Constructing a Classifier Team Using a Modified PCA (Principal Component Analysis) in the Task of Diagnosis of Acute Lymphocytic Leukaemia Type B-CLL

Topolski, Mariusz and Topolska, Katarzyna

Hybrid Artificial Intelligent Systems, 2019

Dynamic Classifier Chains for Multi-label Learning

Trajdos, Pawel and Kurzynski, Marek

Pattern Recognition, 2019

Multi Sampling Random Subspace Ensemble for Imbalanced Data Stream Classification

Klikowski, Jakub and Woźniak, Michał

Progress in Computer Recognition Systems, 2019
W ramach projektu IDSTREAM

Effective Worst-Case Crosstalk Estimation for Dynamic Translucent SDM Elastic Optical Networks

Walkowiak, Krzysztof and Wlodarczyk, Adam and Klinkowski, Miroslaw

ICC 2019 - 2019 IEEE International Conference on Communications (ICC), 2019

Data Analytics for Improving Performance of Spectrally-Spatially Flexible Optical Networks

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

2019 21st International Conference on Transparent Optical Networks (ICTON), 2019

Clustering-Based Ensemble Pruning and Multistage Organization Using Diversity

Zyblewski, Paweł and Woźniak, Michał

Hybrid Artificial Intelligent Systems, 2019
W ramach projektu IDSTREAM

Greenfield Gradual Migration Planning toward Spectrally-Spatially Flexible Optical Networks

Lechowicz, Piotr and Goscien, Roza and Rumipamba-Zambrano, Ruben and Perello, Jordi and Spadaro, Salvatore and Walkowiak, Krzysztof

IEEE Communications Magazine, 2019

An Efficient Optimization Framework for Solving RSSA Problems in Spectrally and Spatially Flexible Optical Networks

Klinkowski, Miroslaw and Walkowiak, Krzysztof

IEEE/ACM Transactions on Networking, 2019

Inter-Core Crosstalk Impact on Migration Planning from Elastic Optical Networks to Spectrally-Spatially Flexible Optical Networks

Lechowicz, Piotr and Rumipamba-Zambrano, Rubén and Perelló, Jordi and Spadaro, Salvatore and Walkowiak, Krzysztof

Optical Fiber Communication Conference (OFC) 2019, 2019

The transformation of the k-Shortest Steiner trees search problem into binary dynamic problem for effective evolutionary methods application

Przewoźniczek, Michał Witold and Walkowiak, Krzysztof and Sen, Arunabha and Komarnicki, Marcin and Lechowicz, Piotr

Information Sciences, 2019

Modified Score Function and Linear Weak Classifiers in LogitBoost Algorithm

Burduk, Robert and Bozejko, Wojciech

Advances in Intelligent Systems and Computing, 2019

Gentle AdaBoost Algorithm with Score Function Dependent on the Distance to Decision Boundary

Burduk, Robert and Bozejko, Wojciech

Lecture Notes in Computer Science, 2019

Imbalanced Data Classification Using Weighted Voting Ensemble

Lu, Lin and Woźniak, Michał

Advances in Intelligent Systems and Computing, 2019
W ramach projektu IDSTREAM

Special issue SOCO 2017: AI and ML applied to Health Sciences (MLHS)

de Cos, Francisco Javier and Woźniak, Michał and Méndez, Juan Albino and Villar Flecha, José R.

Neural Computing and Applications, 2019

Vertical and Horizontal Data Partitioning for Classifier Ensemble Learning

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

Progress in Computer Recognition Systems, 2019

Active Learning by Clustering for Drifted Data Stream Classification

Zgraja, Jakub and Gama, João and Woźniak, Michał 

ECML PKDD 2018 Workshops, 2019

Radial-Based oversampling for noisy imbalanced data classification

Koziarski, Michał and Krawczyk, Bartosz and Woźniak, Michał

Neurocomputing, 2019

Special issue HAIS 2014: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems

Polycarpou, Marios and de Carvalho, André and Pan, Jeng-Shyang and Woźniak, Michal and Quintián, Héctor and Corchado, Emilio

Neurocomputing, 2019

Special issue on hybrid artificial intelligence systems from the HAIS 2017 conference – Editorial

Ascacíbar, Francisco Javier Martínez de Pisón and Herrera, Francisco and Abraham, Ajith and Wozniak, Michal and Corchado, Emilio

Neurocomputing, 2019

Monotonic classification: An overview on algorithms, performance measures and data sets

Cano, José-Ramón and Gutiérrez, Pedro Antonio and Krawczyk, Bartosz and Woźniak, Michał and García, Salvador

Neurocomputing, 2019

Hybrid Evolutionary Algorithm applied to Automated Floor Plan Generation

Nisztuk, Maciej and Myszkowski, Paweł B.

International Journal of Architectural Computing, 2019

Survey of quality measures for multi-objective optimization: Construction of complementary set of multi-objective quality measures

Laszczyk, Maciej and Myszkowski, Paweł B.

Swarm and Evolutionary Computation, 2019

Improved selection in evolutionary multi–objective optimization of multi–skill resource–constrained project scheduling problem

Laszczyk, Maciej and Myszkowski, Paweł B.

Information Sciences, 2019

Non-dominated Sorting Tournament Genetic Algorithm for Multi-Objective Travelling Salesman Problem

Myszkowski, Paweł B. and Laszczyk, Maciej and Dziadek, Kamil

Annals of Computer Science and Information Systems, 2019

Universal strategy of dynamic subpopulation number management in practical network optimization problems

Przewoźniczek, Michał Witold and Goścień, Róża

Applied Soft Computing, 2019

Cloud-Based Integrated Process Planning and Scheduling Optimisation via Asynchronous Islands

Zhao, Shuai and Mei, Haitao and Dziurzanski, Piotr and Przewozniczek, Michal and Indrusiak, Leandro Soares

Lecture Notes in Computer Science, 2019

Cloud-based dynamic distributed optimisation of integrated process planning and scheduling in smart factories

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

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Parameter-less population pyramid with automatic feedback

Zielinski, Adam M. and Komarnicki, Marcin M. and Przewozniczek, Michal W.

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Parameter-less, population-sizing DSMGA-II

Komarnicki, Marcin M. and Przewozniczek, Michal W.

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

A RMSA Algorithm Resilient to Multiple Node Failures on Elastic Optical Networks

Barbosa, Fabio and de Sousa, Amaro and Agra, Agostinho and Walkowiak, Krzysztof and Goscien, Roza

2019 11th International Workshop on Resilient Networks Design and Modeling (RNDM), 2019

On the Efficient Dynamic Routing in Spectrally-Spatially Flexible Optical Networks

Goscien, Roza

2019 11th International Workshop on Resilient Networks Design and Modeling (RNDM), 2019

On the efficient optimization of unicast, anycast and multicast flows in survivable elastic optical networks

Goścień, Róża and Kucharzak, Michał

Optical Switching and Networking, 2019

2019 11th International Workshop on Resilient Networks Design and Modeling (RNDM), 2019

Two metaheuristics for routing and spectrum allocation in cloud-ready survivable elastic optical networks

Goścień, Róża

Swarm and Evolutionary Computation, 2019

Adapting ClusTree for more challenging data stream environments

Zgraja, Jakub and Moulton, Richard Hugh and Gama, João and Kasprzak, Andrzej and Woźniak, Michał

Journal of Intelligent & Fuzzy Systems, 2019
W ramach projektu IDSTREAM

On the Role of Cost-Sensitive Learning in Imbalanced Data Oversampling

Krawczyk, Bartosz and Wozniak, Michal

Computational Science – ICCS 2019, 2019
W ramach projektu IDSTREAM