Daniel Kostrzewa

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 48

Top Topics

Genetic Algorithm

Anomaly Detection

Genre Classification

Top Venues

GECCO Companion

Publications

Pawel Benecki, Daniel Kostrzewa, Marek Drewniak, Bohdan Shubyn, Piotr Grzesik, Vaidy S. Sunderam, Boleslaw Pochopien, Andrzej Kwiecien, Bozena Malysiak-Mrozek, Dariusz Mrozek
Towards Detection of Anomalies in Automated Guided Vehicles Based on Telemetry Data. ICCS (7) (2024)
Jeremiah Abimbola, Daniel Kostrzewa, Pawel Kasprowski
Music time signature detection using ResNet18. EURASIP J. Audio Speech Music. Process. 2024 (1) (2024)
Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek
Enhancing Anomaly Detection in Automated Guided Vehicles through Feature Weight Optimization. GECCO Companion (2024)
Jeremiah Abimbola, Daniel Kostrzewa, Pawel Kasprowski
Genetic Algorithm-Based Optimization ofWeighted Voting in Ensemble Models for Time Signature Detection. GECCO Companion (2024)
Daniel Kostrzewa, Pawel Grabczynski
From Sound to Map: Predicting Geographic Origin in Traditional Music Works. ICCS (2) (2024)
Bohdan Shubyn, Daniel Kostrzewa, Piotr Grzesik, Pawel Benecki, Taras Maksymyuk, Vaidy S. Sunderam, Jia-Hao Syu, Jerry Chun-Wei Lin, Dariusz Mrozek
Federated Learning for improved prediction of failures in Autonomous Guided Vehicles. J. Comput. Sci. 68 (2023)
Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Jia-Hao Syu, Jerry Chun-Wei Lin, Vaidy S. Sunderam, Dariusz Mrozek
Effective Prediction of Energy Consumption in Automated Guided Vehicles with Recurrent and Convolutional Neural Networks. BigData (2023)
Pawel Benecki, Daniel Kostrzewa, Michal Kawulok
Perceptual Loss for Training Multi-Image Super-Resolution. IGARSS (2023)
Jeremiah Abimbola, Daniel Kostrzewa, Pawel Kasprowski
Optimization of MFCCs for Time Signature Detection Using Genetic Algorithm. GECCO Companion (2023)
Bohdan Shubyn, Piotr Grzesik, Taras Maksymyuk, Daniel Kostrzewa, Pawel Benecki, Jia-Hao Syu, Jerry Chun-Wei Lin, Vaidy S. Sunderam, Dariusz Mrozek
Resource Consumption of Federated Learning Approach Applied on Edge IoT Devices in the AGV Environment. ICCS (5) (2023)
Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek
Optimizing Telemetry Signal Influence for Power Consumption Prediction. GECCO Companion (2023)
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
Hyperspectral Image Pansharpening: The Prisma Case Study. IGARSS (2023)
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
Understanding the Value of Hyperspectral Image Super-Resolution from Prisma Data. IGARSS (2023)
Daniel Kostrzewa, Marek Zabialowicz
Tempo and Time Signature Detection of a Musical Piece. ICCS (1) (2023)
Jakub Sadel, Michal Kawulok, Mateusz Przeliorz, Jakub Nalepa, Daniel Kostrzewa
Genetic Structural NAS: A Neural Network Architecture Search with Flexible Slot Connections. GECCO Companion (2023)
Malgorzata Bach, Paulina Trofimiak, Daniel Kostrzewa, Aleksandra Werner
CLEANSE - Cluster-based Undersampling Method. KES (2023)
Daniel Kostrzewa, Wojciech Mazur, Robert Brzeski
Wide Ensembles of Neural Networks in Music Genre Classification. ICCS (1) (2022)
Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek
Forecasting of Energy Consumption for Anomaly Detection in Automated Guided Vehicles: Models and Feature Selection. SMC (2022)
Pawel Kowaleczko, Tomasz Tarasiewicz, Maciej Ziaja, Daniel Kostrzewa, Jakub Nalepa, Przemyslaw Rokita, Michal Kawulok
MuS2: A Benchmark for Sentinel-2 Multi-Image Super-Resolution. CoRR (2022)
Daniel Kostrzewa, Blazej Koza, Pawel Benecki
Designing a Training Set for Musical Instruments Identification. ICCS (1) (2022)
Bohdan Shubyn, Dariusz Mrozek, Taras Maksymyuk, Vaidy S. Sunderam, Daniel Kostrzewa, Piotr Grzesik, Pawel Benecki
Federated Learning for Anomaly Detection in Industrial IoT-enabled Production Environment Supported by Autonomous Guided Vehicles. ICCS (4) (2022)
Daniel Kostrzewa, Michal Ciszynski, Robert Brzeski
Evolvable hybrid ensembles for musical genre classification. GECCO Companion (2022)
Piotr Grzesik, Pawel Benecki, Daniel Kostrzewa, Bohdan Shubyn, Dariusz Mrozek
On-Edge Aggregation Strategies over Industrial Data Produced by Autonomous Guided Vehicles. ICCS (4) (2022)
Ramy Monir, Daniel Kostrzewa, Dariusz Mrozek
Singing Voice Detection: A Survey. Entropy 24 (1) (2022)
Jeremiah Abimbola, Daniel Kostrzewa, Pawel Kasprowski
Time Signature Detection: A Survey. Sensors 21 (19) (2021)
Pawel Benecki, Szymon Piechaczek, Daniel Kostrzewa, Jakub Nalepa
Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs. GECCO Companion (2021)
Michal Kawulok, Tomasz Tarasiewicz, Jakub Nalepa, Diana Tyrna, Daniel Kostrzewa
Deep Learning for Multiple-Image Super-Resolution of Sentinel-2 Data. IGARSS (2021)
Daniel Kostrzewa, Piotr Kaminski, Robert Brzeski
Music Genre Classification: Looking for the Perfect Network. ICCS (1) (2021)
Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa
Evaluating Super-Resolution of Satellite Images: A Proba-V Case Study. IGARSS (2020)
Daniel Kostrzewa, Konrad Karczewski, Robert Brzeski
Optimization of the Values of Classifiers Parameters - Is it Still Worthwhile to Deal with it? ICAISC (1) (2020)
Michal Kawulok, Pawel Benecki, Szymon Piechaczek, Krzysztof Hrynczenko, Daniel Kostrzewa, Jakub Nalepa
Deep Learning for Multiple-Image Super-Resolution. IEEE Geosci. Remote. Sens. Lett. 17 (6) (2020)
Michal Kawulok, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Daniel Kostrzewa, Jakub Nalepa
On Training Deep Networks for Satellite Image Super-Resolution. IGARSS (2019)
Daniel Kostrzewa, Pawel Benecki, Lukasz Jenczmyk
Enhancing the Resolution of Satellite Images Using the Best Matching Image Fragment. ACIIDS (1) (2019)
Blazej Moska, Daniel Kostrzewa, Robert Brzeski
Influence of the Applied Outlier Detection Methods on the Quality of Classification. ICMMI (2019)
Michal Kawulok, Pawel Benecki, Szymon Piechaczek, Krzysztof Hrynczenko, Daniel Kostrzewa, Jakub Nalepa
Deep Learning for Multiple-Image Super-Resolution. CoRR (2019)
Michal Kawulok, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Daniel Kostrzewa, Jakub Nalepa
On training deep networks for satellite image super-resolution. CoRR (2019)
Daniel Kostrzewa, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Jakub Nalepa, Michal Kawulok
Super-Resolution Reconstruction Using Deep Learning: Should We Go Deeper? BDAS (2019)
Daniel Kostrzewa, Robert Brzeski
The Data Dimensionality Reduction and Features Weighting in the Classification Process Using Forest Optimization Algorithm. ACIIDS (Extended Posters) (2019)
Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa, Lukasz Skonieczny
Towards Robust Evaluation of Super-Resolution Satellite Image Reconstruction. ACIIDS (1) (2018)
Daniel Kostrzewa, Robert Brzeski, Maciej Kubanski
The Classification of Music by the Genre Using the KNN Classifier. BDAS (2018)
Michal Kawulok, Pawel Benecki, Daniel Kostrzewa, Lukasz Skonieczny
Evolving imaging model for super-resolution reconstruction. GECCO (Companion) (2018)
Michal Kawulok, Pawel Benecki, Daniel Kostrzewa, Lukasz Skonieczny
Towards Evolutionary Super-Resolution. EvoApplications (2018)
Michal Kawulok, Daniel Kostrzewa, Pawel Benecki, Lukasz Skonieczny
Optimizing Super-resolution Reconstruction using a Genetic Algorithm. ICAART (2) (2018)
Daniel Kostrzewa, Lukasz Skonieczny, Pawel Benecki, Michal Kawulok
B4MultiSR: A Benchmark for Multiple-Image Super-Resolution Reconstruction. BDAS (2018)
Daniel Kostrzewa, Robert Brzeski
Parametric Optimization of the Selected Classifiers in Binary Classification. ACIIDS (Extended Posters) (2017)
Daniel Kostrzewa, Robert Brzeski
Adjusting Parameters of the Classifiers in Multiclass Classification. BDAS (2017)
Daniel Kostrzewa, Robert Brzeski
The Data Dimensionality Reduction in the Classification Process Through Greedy Backward Feature Elimination. ICMMI (2017)
Daniel Kostrzewa, Malgorzata Bach, Robert Brzeski, Aleksandra Werner
Performance Aspect of the In-Memory Databases Accessed via JDBC. BDAS (2016)
Henryk Josinski, Agnieszka Michalczuk, Daniel Kostrzewa, Adam Switonski, Konrad W. Wojciechowski
Heuristic Method of Feature Selection for Person Re-identification Based on Gait Motion Capture Data. ACIIDS (2) (2014)
Daniel Kostrzewa, Henryk Josinski
The exIWO Metaheuristic - A Recapitulation of the Research on the Join Ordering Problem. BDAS (2014)
Daniel Kostrzewa, Henryk Josinski
Using the Expanded IWO Algorithm to Solve the Traveling Salesman Problem. ICAART (2) (2013)
Daniel Kostrzewa, Henryk Josinski
The Modified IWO Algorithm for Optimization of Numerical Functions. ICAISC (SIDE-EC) (2012)
Daniel Kostrzewa, Henryk Josinski
Verification of the Search Space Exploration Strategy Based on the Solutions of the Join Ordering Problem. ICMMI (2011)
Daniel Kostrzewa, Henryk Josinski
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. ICMMI (2009)