Daniel Kostrzewa

According to our database, Daniel Kostrzewa authored at least 56 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Music time signature detection using ResNet18.

Jeremiah Abimbola, Daniel Kostrzewa, Pawel Kasprowski

EURASIP J. Audio Speech Music. Process., December, 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

Toward Task-Driven Satellite Image Super-Resolution.

Maciej Ziaja, Pawel Kowaleczko, Daniel Kostrzewa, Nicolas Longépé, Michal Kawulok

Proceedings of the IGARSS 2024, 2024

Music Genre Classification Using Hybrid Committees and Voting Mechanisms.

Daniel Kostrzewa, Piotr Berezka, Robert Brzeski

Proceedings of the Advances in Computational Collective Intelligence, 2024

From Sound to Map: Predicting Geographic Origin in Traditional Music Works.

Daniel Kostrzewa, Pawel Grabczynski

Proceedings of the Computational Science - ICCS 2024, 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

Proceedings of the Computational Science - ICCS 2024, 2024

Enhancing Anomaly Detection in Automated Guided Vehicles through Feature Weight Optimization.

Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Genetic Algorithm-Based Optimization ofWeighted Voting in Ensemble Models for Time Signature Detection.

Jeremiah Abimbola, Daniel Kostrzewa, Pawel Kasprowski

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

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., April, 2023

CLEANSE - Cluster-based Undersampling Method.

Malgorzata Bach, Paulina Trofimiak, Daniel Kostrzewa, Aleksandra Werner

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Perceptual Loss for Training Multi-Image Super-Resolution.

Pawel Benecki, Daniel Kostrzewa, Michal Kawulok

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the Computational Science - ICCS 2023, 2023

Tempo and Time Signature Detection of a Musical Piece.

Daniel Kostrzewa, Marek Zabialowicz

Proceedings of the Computational Science - ICCS 2023, 2023

Genetic Structural NAS: A Neural Network Architecture Search with Flexible Slot Connections.

Jakub Sadel, Michal Kawulok, Mateusz Przeliorz, Jakub Nalepa, Daniel Kostrzewa

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Optimizing Telemetry Signal Influence for Power Consumption Prediction.

Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Optimization of MFCCs for Time Signature Detection Using Genetic Algorithm.

Jeremiah Abimbola, Daniel Kostrzewa, Pawel Kasprowski

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

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

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Singing Voice Detection: A Survey.

Ramy Monir, Daniel Kostrzewa, Dariusz Mrozek

Entropy, 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

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

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 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

Proceedings of the Computational Science - ICCS 2022, 2022

Wide Ensembles of Neural Networks in Music Genre Classification.

Daniel Kostrzewa, Wojciech Mazur, Robert Brzeski

Proceedings of the Computational Science - ICCS 2022, 2022

Designing a Training Set for Musical Instruments Identification.

Daniel Kostrzewa, Blazej Koza, Pawel Benecki

Proceedings of the Computational Science - ICCS 2022, 2022

On-Edge Aggregation Strategies over Industrial Data Produced by Autonomous Guided Vehicles.

Piotr Grzesik, Pawel Benecki, Daniel Kostrzewa, Bohdan Shubyn, Dariusz Mrozek

Proceedings of the Computational Science - ICCS 2022, 2022

Evolvable hybrid ensembles for musical genre classification.

Daniel Kostrzewa, Michal Ciszynski, Robert Brzeski

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021

Time Signature Detection: A Survey.

Jeremiah Abimbola, Daniel Kostrzewa, Pawel Kasprowski

Sensors, 2021

Deep Learning for Multiple-Image Super-Resolution of Sentinel-2 Data.

Michal Kawulok, Tomasz Tarasiewicz, Jakub Nalepa, Diana Tyrna, Daniel Kostrzewa

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Music Genre Classification: Looking for the Perfect Network.

Daniel Kostrzewa, Piotr Kaminski, Robert Brzeski

Proceedings of the Computational Science - ICCS 2021, 2021

Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs.

Pawel Benecki, Szymon Piechaczek, Daniel Kostrzewa, Jakub Nalepa

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

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

Evaluating Super-Resolution of Satellite Images: A Proba-V Case Study.

Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Optimization of the Values of Classifiers Parameters - Is it Still Worthwhile to Deal with it?

Daniel Kostrzewa, Konrad Karczewski, Robert Brzeski

Proceedings of the Artificial Intelligence and Soft Computing, 2020

2019

On Training Deep Networks for Satellite Image Super-Resolution.

Michal Kawulok, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Daniel Kostrzewa, Jakub Nalepa

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Influence of the Applied Outlier Detection Methods on the Quality of Classification.

Blazej Moska, Daniel Kostrzewa, Robert Brzeski

Proceedings of the Man-Machine Interactions 6, 2019

Super-Resolution Reconstruction Using Deep Learning: Should We Go Deeper?

Daniel Kostrzewa, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Jakub Nalepa, Michal Kawulok

Proceedings of the Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis, 2019

Enhancing the Resolution of Satellite Images Using the Best Matching Image Fragment.

Daniel Kostrzewa, Pawel Benecki, Lukasz Jenczmyk

Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019

The Data Dimensionality Reduction and Features Weighting in the Classification Process Using Forest Optimization Algorithm.

Daniel Kostrzewa, Robert Brzeski

Proceedings of the Intelligent Information and Database Systems: Recent Developments, 2019

2018

Optimizing Super-resolution Reconstruction using a Genetic Algorithm.

Michal Kawulok, Daniel Kostrzewa, Pawel Benecki, Lukasz Skonieczny

Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

Evolving imaging model for super-resolution reconstruction.

Michal Kawulok, Pawel Benecki, Daniel Kostrzewa, Lukasz Skonieczny

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Towards Evolutionary Super-Resolution.

Michal Kawulok, Pawel Benecki, Daniel Kostrzewa, Lukasz Skonieczny

Proceedings of the Applications of Evolutionary Computation, 2018

B4MultiSR: A Benchmark for Multiple-Image Super-Resolution Reconstruction.

Daniel Kostrzewa, Lukasz Skonieczny, Pawel Benecki, Michal Kawulok

Proceedings of the Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety, 2018

The Classification of Music by the Genre Using the KNN Classifier.

Daniel Kostrzewa, Robert Brzeski, Maciej Kubanski

Proceedings of the Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety, 2018

Towards Robust Evaluation of Super-Resolution Satellite Image Reconstruction.

Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa, Lukasz Skonieczny

Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018

2017

The Data Dimensionality Reduction in the Classification Process Through Greedy Backward Feature Elimination.

Daniel Kostrzewa, Robert Brzeski

Proceedings of the Man-Machine Interactions 5, 2017

Adjusting Parameters of the Classifiers in Multiclass Classification.

Daniel Kostrzewa, Robert Brzeski

Proceedings of the Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation, 2017

Parametric Optimization of the Selected Classifiers in Binary Classification.

Daniel Kostrzewa, Robert Brzeski

Proceedings of the Advanced Topics in Intelligent Information and Database Systems,, 2017

2016

Performance Aspect of the In-Memory Databases Accessed via JDBC.

Daniel Kostrzewa, Malgorzata Bach, Robert Brzeski, Aleksandra Werner

Proceedings of the Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery, 2016

2014

The exIWO Metaheuristic - A Recapitulation of the Research on the Join Ordering Problem.

Daniel Kostrzewa, Henryk Josinski

Proceedings of the Beyond Databases, Architectures, and Structures, 2014

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

Proceedings of the Intelligent Information and Database Systems - 6th Asian Conference, 2014

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

Proceedings of the Vision Based Systemsfor UAV Applications, 2013

Using the Expanded IWO Algorithm to Solve the Traveling Salesman Problem.

Daniel Kostrzewa, Henryk Josinski

Proceedings of the ICAART 2013, 2013

2012

The Modified IWO Algorithm for Optimization of Numerical Functions.

Daniel Kostrzewa, Henryk Josinski

Proceedings of the Swarm and Evolutionary Computation, 2012

2011

Verification of the Search Space Exploration Strategy Based on the Solutions of the Join Ordering Problem.

Daniel Kostrzewa, Henryk Josinski

Proceedings of the Man-Machine Interactions 2, 2011

2009

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

Proceedings of the Man-Machine Interactions, 2009