The Comparison of an Adapted Evolutionary Algorithm with the Invasive Weed Optimization Algorithm Based on the Problem of Predetermining the Progress of Distributed Data Merging Process. - Daniel Kostrzewa; Henryk Josinski (ICMMI, 2009)

Verification of the Search Space Exploration Strategy Based on the Solutions of the Join Ordering Problem. - Daniel Kostrzewa; Henryk Josinski (ICMMI, 2011)

The Modified IWO Algorithm for Optimization of Numerical Functions. - Daniel Kostrzewa; Henryk Josinski (ICAISC (SIDE-EC), 2012)

Using the Expanded IWO Algorithm to Solve the Traveling Salesman Problem. - Daniel Kostrzewa; Henryk Josinski (ICAART (2), 2013)

Feature Extraction and HMM-Based Classification of Gait Video Sequences for the Purpose of Human Identification. - Henryk Josinski; Daniel Kostrzewa; Agnieszka Michalczuk; Adam Switonski; Konrad W. Wojciechowski (Vision Based Systemsfor UAV Applications, 2013)

Heuristic Method of Feature Selection for Person Re-identification Based on Gait Motion Capture Data. - Henryk Josinski; Agnieszka Michalczuk; Daniel Kostrzewa; Adam Switonski; Konrad W. Wojciechowski (ACIIDS (2), 2014)

The exIWO Metaheuristic - A Recapitulation of the Research on the Join Ordering Problem. - Daniel Kostrzewa; Henryk Josinski (BDAS, 2014)

Performance Aspect of the In-Memory Databases Accessed via JDBC. - Daniel Kostrzewa; Malgorzata Bach; Robert Brzeski; Aleksandra Werner (BDAS, 2016)

Parametric Optimization of the Selected Classifiers in Binary Classification. - Daniel Kostrzewa; Robert Brzeski (ACIIDS (Extended Posters), 2017)

Adjusting Parameters of the Classifiers in Multiclass Classification. - Daniel Kostrzewa; Robert Brzeski (BDAS, 2017)

The Data Dimensionality Reduction in the Classification Process Through Greedy Backward Feature Elimination. - Daniel Kostrzewa; Robert Brzeski (ICMMI, 2017)

Towards Robust Evaluation of Super-Resolution Satellite Image Reconstruction. - Michal Kawulok; Pawel Benecki; Jakub Nalepa; Daniel Kostrzewa; Lukasz Skonieczny (ACIIDS (1), 2018)

The Classification of Music by the Genre Using the KNN Classifier. - Daniel Kostrzewa; Robert Brzeski; Maciej Kubanski (BDAS, 2018)

B4MultiSR: A Benchmark for Multiple-Image Super-Resolution Reconstruction. - Daniel Kostrzewa; Lukasz Skonieczny; Pawel Benecki; Michal Kawulok (BDAS, 2018)

Towards Evolutionary Super-Resolution. - Michal Kawulok; Pawel Benecki; Daniel Kostrzewa; Lukasz Skonieczny (EvoApplications, 2018)

Evolving imaging model for super-resolution reconstruction. - Michal Kawulok; Pawel Benecki; Daniel Kostrzewa; Lukasz Skonieczny (GECCO (Companion), 2018)

Optimizing Super-resolution Reconstruction using a Genetic Algorithm. - Michal Kawulok; Daniel Kostrzewa; Pawel Benecki; Lukasz Skonieczny (ICAART (2), 2018)

The Data Dimensionality Reduction and Features Weighting in the Classification Process Using Forest Optimization Algorithm. - Daniel Kostrzewa; Robert Brzeski (ACIIDS (Extended Posters), 2019)

Enhancing the Resolution of Satellite Images Using the Best Matching Image Fragment. - Daniel Kostrzewa; Pawel Benecki; Lukasz Jenczmyk (ACIIDS (1), 2019)

Super-Resolution Reconstruction Using Deep Learning: Should We Go Deeper? - Daniel Kostrzewa; Szymon Piechaczek; Krzysztof Hrynczenko; Pawel Benecki; Jakub Nalepa; Michal Kawulok (BDAS, 2019)

Influence of the Applied Outlier Detection Methods on the Quality of Classification. - Blazej Moska; Daniel Kostrzewa; Robert Brzeski (ICMMI, 2019)

On Training Deep Networks for Satellite Image Super-Resolution. - Michal Kawulok; Szymon Piechaczek; Krzysztof Hrynczenko; Pawel Benecki; Daniel Kostrzewa; Jakub Nalepa (IGARSS, 2019)

Optimization of the Values of Classifiers Parameters - Is it Still Worthwhile to Deal with it? - Daniel Kostrzewa; Konrad Karczewski; Robert Brzeski (ICAISC (1), 2020)

Evaluating Super-Resolution of Satellite Images: A Proba-V Case Study. - Michal Kawulok; Pawel Benecki; Jakub Nalepa; Daniel Kostrzewa (IGARSS, 2020)

Deep Learning for Multiple-Image Super-Resolution. - Michal Kawulok; Pawel Benecki; Szymon Piechaczek; Krzysztof Hrynczenko; Daniel Kostrzewa; Jakub Nalepa (IEEE Geosci. Remote. Sens. Lett., 2020)

Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs. - Pawel Benecki; Szymon Piechaczek; Daniel Kostrzewa; Jakub Nalepa (GECCO Companion, 2021)

Music Genre Classification: Looking for the Perfect Network. - Daniel Kostrzewa; Piotr Kaminski; Robert Brzeski (ICCS (1), 2021)

Deep Learning for Multiple-Image Super-Resolution of Sentinel-2 Data. - Michal Kawulok; Tomasz Tarasiewicz; Jakub Nalepa; Diana Tyrna; Daniel Kostrzewa (IGARSS, 2021)

Time Signature Detection: A Survey. - Jeremiah Abimbola; Daniel Kostrzewa; Pawel Kasprowski (Sensors, 2021)

Evolvable hybrid ensembles for musical genre classification. - Daniel Kostrzewa; Michal Ciszynski; Robert Brzeski (GECCO Companion, 2022)

On-Edge Aggregation Strategies over Industrial Data Produced by Autonomous Guided Vehicles. - Piotr Grzesik; Pawel Benecki; Daniel Kostrzewa; Bohdan Shubyn; Dariusz Mrozek (ICCS (4), 2022)

Designing a Training Set for Musical Instruments Identification. - Daniel Kostrzewa; Blazej Koza; Pawel Benecki (ICCS (1), 2022)

Wide Ensembles of Neural Networks in Music Genre Classification. - Daniel Kostrzewa; Wojciech Mazur; Robert Brzeski (ICCS (1), 2022)

Federated Learning for Anomaly Detection in Industrial IoT-enabled Production Environment Supported by Autonomous Guided Vehicles. - Bohdan Shubyn; Dariusz Mrozek; Taras Maksymyuk; Vaidy S. Sunderam; Daniel Kostrzewa; Piotr Grzesik; Pawel Benecki (ICCS (4), 2022)

Forecasting of Energy Consumption for Anomaly Detection in Automated Guided Vehicles: Models and Feature Selection. - Pawel Benecki; Daniel Kostrzewa; Piotr Grzesik; Bohdan Shubyn; Dariusz Mrozek (SMC, 2022)

MuS2: A Benchmark for Sentinel-2 Multi-Image Super-Resolution. - Pawel Kowaleczko; Tomasz Tarasiewicz; Maciej Ziaja; Daniel Kostrzewa; Jakub Nalepa; Przemyslaw Rokita; Michal Kawulok (CoRR, 2022)

Singing Voice Detection: A Survey. - Ramy Monir; Daniel Kostrzewa; Dariusz Mrozek (Entropy, 2022)

Effective Prediction of Energy Consumption in Automated Guided Vehicles with Recurrent and Convolutional Neural Networks. - Pawel Benecki; Daniel Kostrzewa; Piotr Grzesik; Bohdan Shubyn; Jia-Hao Syu; Jerry Chun-Wei Lin; Vaidy S. Sunderam; Dariusz Mrozek (IEEE Big Data, 2023)

Optimization of MFCCs for Time Signature Detection Using Genetic Algorithm. - Jeremiah Abimbola; Daniel Kostrzewa; Pawel Kasprowski (GECCO Companion, 2023)

Optimizing Telemetry Signal Influence for Power Consumption Prediction. - Pawel Benecki; Daniel Kostrzewa; Piotr Grzesik; Bohdan Shubyn; Dariusz Mrozek (GECCO Companion, 2023)

Genetic Structural NAS: A Neural Network Architecture Search with Flexible Slot Connections. - Jakub Sadel; Michal Kawulok; Mateusz Przeliorz; Jakub Nalepa; Daniel Kostrzewa (GECCO Companion, 2023)

Tempo and Time Signature Detection of a Musical Piece. - Daniel Kostrzewa; Marek Zabialowicz (ICCS (1), 2023)

Resource Consumption of Federated Learning Approach Applied on Edge IoT Devices in the AGV Environment. - Bohdan Shubyn; Piotr Grzesik; Taras Maksymyuk; Daniel Kostrzewa; Pawel Benecki; Jia-Hao Syu; Jerry Chun-Wei Lin; Vaidy S. Sunderam; Dariusz Mrozek (ICCS (5), 2023)

Perceptual Loss for Training Multi-Image Super-Resolution. - Pawel Benecki; Daniel Kostrzewa; Michal Kawulok (IGARSS, 2023)

Understanding the Value of Hyperspectral Image Super-Resolution from Prisma Data. - Michal Kawulok; Pawel Kowaleczko; Maciej Ziaja; Jakub Nalepa; Daniel Kostrzewa; Daniele Latini; Davide De Santis; Giorgia Salvucci; Ilaria Petracca; Valeria La Pegna; Zoltan Bartalis; Fabio Del Frate (IGARSS, 2023)

Hyperspectral Image Pansharpening: The Prisma Case Study. - Maciej Ziaja; Pawel Kowaleczko; Jakub Nalepa; Daniel Kostrzewa; Daniele Latini; Davide De Santis; Giorgia Salvucci; Ilaria Petracca; Valeria La Pegna; Fabio Del Frate; Michal Kawulok (IGARSS, 2023)

CLEANSE - Cluster-based Undersampling Method. - Malgorzata Bach; Paulina Trofimiak; Daniel Kostrzewa; Aleksandra Werner (KES, 2023)

Federated Learning for improved prediction of failures in Autonomous Guided Vehicles. - Bohdan Shubyn; Daniel Kostrzewa; Piotr Grzesik; Pawel Benecki; Taras Maksymyuk; Vaidy S. Sunderam; Jia-Hao Syu; Jerry Chun-Wei Lin; Dariusz Mrozek (J. Comput. Sci., 2023)

Fuzzy Querying in the Cloud-based Environment for Data Stream-driven Predictive Maintenance in AGV-enabled Smart Factories. - Bozena Malysiak-Mrozek; Dominik Romanów; Piotr Grzesik; Pawel Benecki; Alexandre Niyomugaba; Theodore Habimana; Daniel Kostrzewa; Krzysztof Tokarz; Che-Lun Hung; Dariusz Mrozek (IEEE Big Data, 2024)

Genetic Algorithm-Based Optimization ofWeighted Voting in Ensemble Models for Time Signature Detection. - Jeremiah Abimbola; Daniel Kostrzewa; Pawel Kasprowski (GECCO Companion, 2024)

Enhancing Anomaly Detection in Automated Guided Vehicles through Feature Weight Optimization. - Pawel Benecki; Daniel Kostrzewa; Piotr Grzesik; Bohdan Shubyn; Dariusz Mrozek (GECCO Companion, 2024)

Towards Detection of Anomalies in Automated Guided Vehicles Based on Telemetry Data. - Pawel Benecki; Daniel Kostrzewa; Marek Drewniak; Bohdan Shubyn; Piotr Grzesik; Vaidy S. Sunderam; Boleslaw Pochopien; Andrzej Kwiecien; Bozena Malysiak-Mrozek; Dariusz Mrozek (ICCS (7), 2024)

From Sound to Map: Predicting Geographic Origin in Traditional Music Works. - Daniel Kostrzewa; Pawel Grabczynski (ICCS (2), 2024)

Music Genre Classification Using Hybrid Committees and Voting Mechanisms. - Daniel Kostrzewa; Piotr Berezka; Robert Brzeski (ICCCI (CCIS Volume 1), 2024)

Toward Task-Driven Satellite Image Super-Resolution. - Maciej Ziaja; Pawel Kowaleczko; Daniel Kostrzewa; Nicolas Longépé; Michal Kawulok (IGARSS, 2024)

Hyperspectral Image Super-Resolution: Task-Based Evaluation. - Michal Kawulok; Pawel Kowaleczko; Maciej Ziaja; Jakub Nalepa; Daniel Kostrzewa; Daniele Latini; Davide De Santis; Giorgia Salvucci; Ilaria Petracca; Valeria La Pegna; Zoltan Bartalis; Fabio Del Frate (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Music time signature detection using ResNet18. - Jeremiah Abimbola; Daniel Kostrzewa; Pawel Kasprowski (EURASIP J. Audio Speech Music. Process., 2024)

Hyperspectral Pansharpening Enhanced With Multi-Image Super-Resolution for PRISMA Data. - Maciej Ziaja; Pawel Kowaleczko; Tomasz Tarasiewicz; Daniel Kostrzewa; Michal Kawulok (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)