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Scopus Author ID: 50661666400
ResearcherID: M-9744-2013

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Silesian University of Technology: Gliwice, PL

(Department of Applied Informatics)
Employment
Source: Self-asserted source
Daniel Kostrzewa

Works (50 of 57)

Items per page:
Page 1 of 2

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

2024 | Book chapter
DOI: 10.1007/978-3-031-63751-3_12
Contributors: Daniel Kostrzewa; Paweł Grabczyński
Source: check_circle
Crossref

Hyperspectral Image Super-Resolution: Task-Based Evaluation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
2024 | Journal article
DOI: 10.1109/JSTARS.2024.3475644
Contributors: Michal Kawulok; Pawel Kowaleczko; Maciej Ziaja; Jakub Nalepa; Daniel Kostrzewa; Daniele Latini; Davide De Santis; Giorgia Salvucci; Ilaria Petracca; Valeria La Pegna et al.
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Crossref

Introduction to Super-Resolution for Remotely Sensed Hyperspectral Images

2024 | Book chapter
DOI: 10.1007/978-3-031-68106-6_1
Contributors: Pawel Kowaleczko; Maciej Ziaja; Daniel Kostrzewa; Michal Kawulok
Source: check_circle
Crossref

Music Genre Classification Using Hybrid Committees and Voting Mechanisms

2024 | Book chapter
DOI: 10.1007/978-3-031-70248-8_2
Contributors: Daniel Kostrzewa; Piotr Berezka; Robert Brzeski
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Crossref

Towards Detection of Anomalies in Automated Guided Vehicles Based on Telemetry Data

2024 | Book chapter
DOI: 10.1007/978-3-031-63783-4_15
Contributors: Paweł Benecki; Daniel Kostrzewa; Marek Drewniak; Bohdan Shubyn; Piotr Grzesik; Vaidy Sunderam; Boleslaw Pochopien; Andrzej Kwiecien; Bozena Malysiak-Mrozek; Dariusz Mrozek
Source: check_circle
Crossref

Detecting Selected Instruments in the Sound Signal

Applied Sciences
2024-07-20 | Journal article
DOI: 10.3390/app14146330
Contributors: Daniel Kostrzewa; Paweł Szwajnoch; Robert Brzeski; Dariusz Mrozek
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Crossref
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Enhancing Anomaly Detection in Automated Guided Vehicles through Feature Weight Optimization

2024-07-14 | Conference paper
DOI: 10.1145/3638530.3664100
Contributors: Pawel Benecki; Daniel Kostrzewa; Piotr Grzesik; Bohdan Shubyn; Dariusz Mrozek
Source: check_circle
Crossref

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

2024-07-14 | Conference paper
DOI: 10.1145/3638530.3664083
Contributors: Jeremiah Abimbola; Daniel Kostrzewa; Pawel Kasprowski
Source: check_circle
Crossref

Attributes Relevance in Content-Based Music Recommendation System

Applied Sciences
2024-01-19 | Journal article
DOI: 10.3390/app14020855
Contributors: Daniel Kostrzewa; Jonatan Chrobak; Robert Brzeski
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Crossref
grade
Preferred source (of 2)‎

Resource Consumption of Federated Learning Approach Applied on Edge IoT Devices in the AGV Environment

2023 | Book chapter
DOI: 10.1007/978-3-031-36030-5_39
Contributors: Bohdan Shubyn; Piotr Grzesik; Taras Maksymyuk; Daniel Kostrzewa; Paweł Benecki; Jia-Hao Syu; Jerry Chun-Wei Lin; Vaidy Sunderam; Dariusz Mrozek
Source: check_circle
Crossref

Tempo and Time Signature Detection of a Musical Piece

2023 | Book chapter
DOI: 10.1007/978-3-031-35995-8_48
Contributors: Daniel Kostrzewa; Marek Zabialowicz
Source: check_circle
Crossref

METER2800: A novel dataset for music time signature detection

Data in Brief
2023-12 | Journal article
DOI: 10.1016/j.dib.2023.109736
Contributors: Jeremiah Abimbola; Daniel Kostrzewa; Paweł Kasprowski
Source: check_circle
Crossref

A Real-World Benchmark for Sentinel-2 Multi-Image Super-Resolution

Scientific Data
2023-09-21 | Journal article
DOI: 10.1038/s41597-023-02538-9
Contributors: Pawel Kowaleczko; Tomasz Tarasiewicz; Maciej Ziaja; Daniel Kostrzewa; Jakub Nalepa; Przemyslaw Rokita; Michal Kawulok
Source: check_circle
Crossref

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

2023-07-15 | Conference paper
DOI: 10.1145/3583133.3596435
Contributors: Jakub Sadel; Michal Kawulok; Mateusz Przeliorz; Jakub Nalepa; Daniel Kostrzewa
Source: check_circle
Crossref

Optimization of MFCCs for Time Signature Detection Using Genetic Algorithm

2023-07-15 | Conference paper
DOI: 10.1145/3583133.3590728
Contributors: Jeremiah Abimbola; Daniel Kostrzewa; Pawel Kasprowski
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Crossref

Optimizing Telemetry Signal Influence for Power Consumption Prediction

2023-07-15 | Conference paper
DOI: 10.1145/3583133.3596431
Contributors: Pawel Benecki; Daniel Kostrzewa; Piotr Grzesik; Bohdan Shubyn; Dariusz Mrozek
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Crossref

Designing a Training Set for Musical Instruments Identification

2022 | Book chapter
DOI: 10.1007/978-3-031-08751-6_43
Contributors: Daniel Kostrzewa; Blazej Koza; Pawel Benecki
Source: check_circle
Crossref

Federated Learning for Anomaly Detection in Industrial IoT-enabled Production Environment Supported by Autonomous Guided Vehicles

2022 | Book chapter
DOI: 10.1007/978-3-031-08760-8_35
Contributors: Bohdan Shubyn; Dariusz Mrozek; Taras Maksymyuk; Vaidy Sunderam; Daniel Kostrzewa; Piotr Grzesik; Paweł Benecki
Source: check_circle
Crossref

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

2022 | Book chapter
DOI: 10.1007/978-3-031-08760-8_39
Contributors: Piotr Grzesik; Paweł Benecki; Daniel Kostrzewa; Bohdan Shubyn; Dariusz Mrozek
Source: check_circle
Crossref

Wide Ensembles of Neural Networks in Music Genre Classification

2022 | Book chapter
DOI: 10.1007/978-3-031-08754-7_9
Contributors: Daniel Kostrzewa; Wojciech Mazur; Robert Brzeski
Source: check_circle
Crossref

Singing Voice Detection: A Survey

Entropy
2022-01 | Journal article | Author
DOI: 10.3390/e24010114
Contributors: Ramy Monir; Daniel Kostrzewa; Prof. Dariusz Mrozek
Source: check_circle
Multidisciplinary Digital Publishing Institute
grade
Preferred source (of 2)‎

Music Genre Classification: Looking for the Perfect Network

2021 | Book chapter
DOI: 10.1007/978-3-030-77961-0_6
Contributors: Daniel Kostrzewa; Piotr Kaminski; Robert Brzeski
Source: check_circle
Crossref

Time Signature Detection: A Survey

Sensors
2021-09 | Journal article | Author
DOI: 10.3390/s21196494
Contributors: Jeremiah Abimbola; Daniel Kostrzewa; Pawel Kasprowski
Source: check_circle
Multidisciplinary Digital Publishing Institute
grade
Preferred source (of 2)‎

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

2020 | Book chapter
DOI: 10.1007/978-3-030-61401-0_39
Contributors: Daniel Kostrzewa; Konrad Karczewski; Robert Brzeski
Source: check_circle
Crossref

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

2020 | Book chapter
DOI: 10.1007/978-3-030-14132-5_8
Contributors: Daniel Kostrzewa; Robert Brzeski
Source: check_circle
Crossref

Deep Learning for Multiple-Image Super-Resolution

IEEE Geoscience and Remote Sensing Letters
2020-06 | Journal article
DOI: 10.1109/LGRS.2019.2940483
Contributors: Michal Kawulok; Pawel Benecki; Szymon Piechaczek; Krzysztof Hrynczenko; Daniel Kostrzewa; Jakub Nalepa
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Crossref

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

2019 | Book chapter
DOI: 10.1007/978-3-030-14799-0_50
Contributors: Daniel Kostrzewa; Pawel Benecki; Lukasz Jenczmyk
Source: check_circle
Crossref

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

2019 | Book chapter
DOI: 10.1007/978-3-030-19093-4_16
Contributors: Daniel Kostrzewa; Szymon Piechaczek; Krzysztof Hrynczenko; Paweł Benecki; Jakub Nalepa; Michal Kawulok
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Crossref

B4MultiSR: A benchmark for multiple-image super-resolution reconstruction

Communications in Computer and Information Science
2018 | Book
DOI: 10.1007/978-3-319-99987-6_28
EID:

2-s2.0-85053854575
Contributors: Kostrzewa, D.; Skonieczny, Ł.; Benecki, P.; Kawulok, M.
Source: Self-asserted source
Daniel Kostrzewa via Scopus - Elsevier

Evolving imaging model for super-resolution reconstruction

GECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion
2018 | Conference paper
DOI: 10.1145/3205651.3205676
EID:

2-s2.0-85051461625
Contributors: Kawulok, M.; Kostrzewa, D.; Benecki, P.; Skonieczny, L.
Source: Self-asserted source
Daniel Kostrzewa via Scopus - Elsevier

Optimizing super-resolution reconstruction using a genetic algorithm

ICAART 2018 - Proceedings of the 10th International Conference on Agents and Artificial Intelligence
2018 | Conference paper
EID:

2-s2.0-85046655795
Contributors: Kawulok, M.; Kostrzewa, D.; Benecki, P.; Skonieczny, L.
Source: Self-asserted source
Daniel Kostrzewa via Scopus - Elsevier

Preface

Communications in Computer and Information Science
2018 | Book
EID:

2-s2.0-85053851948
Contributors: Kozielski, S.; Mrozek, D.; Kasprowski, P.; Małysiak-Mrozek, B.; Kostrzewa, D.
Source: Self-asserted source
Daniel Kostrzewa via Scopus - Elsevier

The classification of music by the genre using the KNN classifier

Communications in Computer and Information Science
2018 | Book
DOI: 10.1007/978-3-319-99987-6_18
EID:

2-s2.0-85053832532
Contributors: Kostrzewa, D.; Brzeski, R.; Kubanski, M.
Source: Self-asserted source
Daniel Kostrzewa via Scopus - Elsevier

The data dimensionality reduction in the classification process through greedy backward feature elimination

Advances in Intelligent Systems and Computing
2018 | Book
DOI: 10.1007/978-3-319-67792-7_39
EID:

2-s2.0-85030766803
Contributors: Kostrzewa, D.; Brzeski, R.
Source: Self-asserted source
Daniel Kostrzewa via Scopus - Elsevier

Towards Evolutionary Super-Resolution

2018 | Book chapter
DOI: 10.1007/978-3-319-77538-8_33
Contributors: Michal Kawulok; Pawel Benecki; Daniel Kostrzewa; Lukasz Skonieczny
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Crossref
grade
Preferred source (of 2)‎

Towards Robust Evaluation of Super-Resolution Satellite Image Reconstruction

2018 | Book chapter
DOI: 10.1007/978-3-319-75417-8_45
Contributors: Michał Kawulok; Paweł Benecki; Jakub Nalepa; Daniel Kostrzewa; Łukasz Skonieczny
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Adjusting Parameters of the Classifiers in Multiclass Classification

2017 | Book chapter
DOI: 10.1007/978-3-319-58274-0_8
Contributors: Daniel Kostrzewa; Robert Brzeski
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Evaluating super-resolution reconstruction of satellite images

Proceedings of the International Astronautical Congress, IAC
2017 | Conference paper
EID:

2-s2.0-85051444595
Contributors: Kawulok, M.; Kostrzewa, D.; Benecki, P.; Skonieczny, L.
Source: Self-asserted source
Daniel Kostrzewa via Scopus - Elsevier

Parametric Optimization of the Selected Classifiers in Binary Classification

Studies in Computational Intelligence
2017 | Book
DOI: 10.1007/978-3-319-56660-3_6
EID:

2-s2.0-85017008616
Contributors: Kostrzewa, D.; Brzeski, R.
Source: Self-asserted source
Daniel Kostrzewa via Scopus - Elsevier

Preface

Communications in Computer and Information Science
2017 | Book
EID:

2-s2.0-85019769231
Contributors: Kozielski, S.; Mrozek, D.; Kasprowski, P.; Małysiak-Mrozek, B.; Kostrzewa, D.
Source: Self-asserted source
Daniel Kostrzewa via Scopus - Elsevier

Beyond databases, architectures and structures: Advanced technologies for data mining and knowledge discovery: 12th international conference, BDAS 2016, Ustroń, Poland, May 31 - June 3, 2016, proceedings

Communications in Computer and Information Science
2016 | Book
DOI: 10.1007/978-3-319-34099-9
EID:

2-s2.0-84964749451
Contributors: Kozielski, S.; Mrozek, D.; Kasprowski, P.; Małysiak-Mrozek, B.; Kostrzewa, D.
Source: Self-asserted source
Daniel Kostrzewa via Scopus - Elsevier

Evaluation of the selection methods used in the exIWO algorithm based on the optimization of multidimensional functions

AIP Conference Proceedings
2016 | Conference paper
DOI: 10.1063/1.4951956
EID:

2-s2.0-84984585816
Contributors: Kostrzewa, D.; Josiński, H.
Source: Self-asserted source
Daniel Kostrzewa via Scopus - Elsevier

Performance aspect of the in-memory databases accessed via JDBC

Communications in Computer and Information Science
2016 | Book
DOI: 10.1007/978-3-319-34099-9_18
EID:

2-s2.0-84964766312
Contributors: Kostrzewa, D.; Bach, M.; Brzeski, R.; Werner, A.
Source: Self-asserted source
Daniel Kostrzewa via Scopus - Elsevier

Preface

Communications in Computer and Information Science
2016 | Book
EID:

2-s2.0-84964756508
Contributors: Kozielski, S.; Mrozek, D.; Kasprowski, P.; Małysiak-Mrozek, B.; Kostrzewa, D.
Source: Self-asserted source
Daniel Kostrzewa via Scopus - Elsevier

Beyond databases,architectures and structures: 11th international conference, BDAS 2015 Ustroń, Poland, May 26–29, 2015 Proceedings

Communications in Computer and Information Science
2015 | Book
DOI: 10.1007/978-3-319-18422-7
EID:

2-s2.0-84945922135
Contributors: Kozielski, S.; Mrozek, D.; Kasprowski, P.; Małysiak-Mrozek, B.; Kostrzewa, D.
Source: Self-asserted source
Daniel Kostrzewa via Scopus - Elsevier

Preface

Communications in Computer and Information Science
2015 | Book
EID:

2-s2.0-84945919853
Contributors: Kozielski, S.; Mrozek, D.; Kasprowski, P.; Małysiak-Mrozek, B.; Kostrzewa, D.
Source: Self-asserted source
Daniel Kostrzewa via Scopus - Elsevier

Beyond Databases, Architectures, and Structures: 10th International Conference, BDAS 2014, Ustroń, Poland, May 27-30, 2014. Proceedings

Communications in Computer and Information Science
2014 | Book
DOI: 10.1007/978-3-319-06932-6
EID:

2-s2.0-84903474135
Contributors: Kozielski, S.; Mrozek, D.; Kasprowski, P.; Malysiak-Mrozek, B.; Kostrzewa, D.
Source: Self-asserted source
Daniel Kostrzewa via Scopus - Elsevier

Heuristic method of feature selection for person re-identification based on gait motion capture data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2014 | Book
DOI: 10.1007/978-3-319-05458-2_60
EID:

2-s2.0-84958528734
Contributors: Josiński, H.; Michalczuk, A.; Kostrzewa, D.; Świtoński, A.; Wojciechowski, K.
Source: Self-asserted source
Daniel Kostrzewa via Scopus - Elsevier

Preface

Communications in Computer and Information Science
2014 | Book
EID:

2-s2.0-84903446952
Contributors: Kozielski, S.; Mrozek, D.; Kasprowski, P.; Małysiak-Mrozek, B.; Kostrzewa, D.
Source: Self-asserted source
Daniel Kostrzewa via Scopus - Elsevier

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

Communications in Computer and Information Science
2014 | Book
DOI: 10.1007/978-3-319-06932-6_2
EID:

2-s2.0-84903469166
Contributors: Kostrzewa, D.; Josiński, H.
Source: Self-asserted source
Daniel Kostrzewa via Scopus - Elsevier
Items per page:
Page 1 of 2

Peer review (74 reviews for 24 publications/grants)

Review activity for Advances in space research (3)
Review activity for Algorithms. (1)
Review activity for Applied sciences. (15)
Review activity for Applied system innovation. (1)
Review activity for Computers & electrical engineering. (2)
Review activity for Digital signal processing. (1)
Review activity for Electronics. (7)
Review activity for Energies. (8)
Review activity for Engineering applications of artificial intelligence. (4)
Review activity for Entropy : (3)
Review activity for Future internet. (1)
Review activity for Information. (1)
Review activity for ISPRS international journal of geo-information. (1)
Review activity for Journal of risk and financial management. (1)
Review activity for Knowledge and information systems. (1)
Review activity for Machine learning and knowledge extraction. (3)
Review activity for Machines. (1)
Review activity for Mathematics. (6)
Review activity for Maǧalaẗ ǧamʼaẗ al-malīk Saud : ùlm al-ḥasib wa al-maʼlumat. (1)
Review activity for Optics and lasers in engineering. (2)
Review activity for Processes. (1)
Review activity for Sensors. (8)
Review activity for Sustainability. (1)
Review activity for Symmetry. (1)
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