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2020 – today
- 2024
[j6]Jeremiah Abimbola
, Daniel Kostrzewa, Pawel Kasprowski:
Music time signature detection using ResNet18. EURASIP J. Audio Speech Music. Process. 2024(1): 30 (2024)- [j5]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:
Hyperspectral Image Super-Resolution: Task-Based Evaluation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 18949-18966 (2024) - [c48]Jeremiah Abimbola, Daniel Kostrzewa, Pawel Kasprowski:
Genetic Algorithm-Based Optimization ofWeighted Voting in Ensemble Models for Time Signature Detection. GECCO Companion 2024: 73-74 - [c47]Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek:
Enhancing Anomaly Detection in Automated Guided Vehicles through Feature Weight Optimization. GECCO Companion 2024: 79-80 - [c46]Daniel Kostrzewa, Pawel Grabczynski:
From Sound to Map: Predicting Geographic Origin in Traditional Music Works. ICCS (2) 2024: 174-188 - [c45]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: 192-207 - [c44]Daniel Kostrzewa, Piotr Berezka, Robert Brzeski:
Music Genre Classification Using Hybrid Committees and Voting Mechanisms. ICCCI (CCIS Volume 1) 2024: 16-28 - [c43]Maciej Ziaja, Pawel Kowaleczko, Daniel Kostrzewa, Nicolas Longépé, Michal Kawulok:
Toward Task-Driven Satellite Image Super-Resolution. IGARSS 2024: 1235-1239 - 2023
- [j4]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: 101956 (2023) - [c42]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. IEEE Big Data 2023: 5024-5030 - [c41]Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek:
Optimizing Telemetry Signal Influence for Power Consumption Prediction. GECCO Companion 2023: 51-52 - [c40]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: 79-80 - [c39]Jeremiah Abimbola, Daniel Kostrzewa, Pawel Kasprowski:
Optimization of MFCCs for Time Signature Detection Using Genetic Algorithm. GECCO Companion 2023: 459-462 - [c38]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: 492-504 - [c37]Daniel Kostrzewa, Marek Zabialowicz:
Tempo and Time Signature Detection of a Musical Piece. ICCS (1) 2023: 683-695 - [c36]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: 1489-1492 - [c35]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: 1633-1636 - [c34]Pawel Benecki, Daniel Kostrzewa, Michal Kawulok:
Perceptual Loss for Training Multi-Image Super-Resolution. IGARSS 2023: 6330-6333 - [c33]Malgorzata Bach, Paulina Trofimiak, Daniel Kostrzewa, Aleksandra Werner:
CLEANSE - Cluster-based Undersampling Method. KES 2023: 4541-4550 - 2022
- [j3]Ramy Monir, Daniel Kostrzewa, Dariusz Mrozek:
Singing Voice Detection: A Survey. Entropy 24(1): 114 (2022) - [c32]Daniel Kostrzewa, Michal Ciszynski, Robert Brzeski:
Evolvable hybrid ensembles for musical genre classification. GECCO Companion 2022: 252-255 - [c31]Daniel Kostrzewa, Wojciech Mazur, Robert Brzeski:
Wide Ensembles of Neural Networks in Music Genre Classification. ICCS (1) 2022: 64-71 - [c30]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: 409-421 - [c29]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: 458-471 - [c28]Daniel Kostrzewa, Blazej Koza, Pawel Benecki:
Designing a Training Set for Musical Instruments Identification. ICCS (1) 2022: 599-610 - [c27]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: 2073-2079 - [i3]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 abs/2210.02745 (2022) - 2021
- [j2]Jeremiah Abimbola, Daniel Kostrzewa, Pawel Kasprowski:
Time Signature Detection: A Survey. Sensors 21(19): 6494 (2021) - [c26]Pawel Benecki, Szymon Piechaczek, Daniel Kostrzewa, Jakub Nalepa:
Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs. GECCO Companion 2021: 143-144 - [c25]Daniel Kostrzewa, Piotr Kaminski, Robert Brzeski:
Music Genre Classification: Looking for the Perfect Network. ICCS (1) 2021: 55-67 - [c24]Michal Kawulok, Tomasz Tarasiewicz, Jakub Nalepa, Diana Tyrna, Daniel Kostrzewa:
Deep Learning for Multiple-Image Super-Resolution of Sentinel-2 Data. IGARSS 2021: 3885-3888 - 2020
- [j1]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): 1062-1066 (2020) - [c23]Daniel Kostrzewa, Konrad Karczewski, Robert Brzeski:
Optimization of the Values of Classifiers Parameters - Is it Still Worthwhile to Deal with it? ICAISC (1) 2020: 417-428 - [c22]Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa:
Evaluating Super-Resolution of Satellite Images: A Proba-V Case Study. IGARSS 2020: 641-644
2010 – 2019
- 2019
- [c21]Daniel Kostrzewa, Robert Brzeski:
The Data Dimensionality Reduction and Features Weighting in the Classification Process Using Forest Optimization Algorithm. ACIIDS (Extended Posters) 2019: 97-108 - [c20]Daniel Kostrzewa, Pawel Benecki, Lukasz Jenczmyk:
Enhancing the Resolution of Satellite Images Using the Best Matching Image Fragment. ACIIDS (1) 2019: 576-586 - [c19]Daniel Kostrzewa, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Jakub Nalepa, Michal Kawulok:
Super-Resolution Reconstruction Using Deep Learning: Should We Go Deeper? BDAS 2019: 204-216 - [c18]Blazej Moska, Daniel Kostrzewa, Robert Brzeski:
Influence of the Applied Outlier Detection Methods on the Quality of Classification. ICMMI 2019: 77-88 - [c17]Michal Kawulok, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Daniel Kostrzewa, Jakub Nalepa:
On Training Deep Networks for Satellite Image Super-Resolution. IGARSS 2019: 3125-3128 - [e6]Stanislaw Kozielski, Dariusz Mrozek, Pawel Kasprowski, Bozena Malysiak-Mrozek, Daniel Kostrzewa:
Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis - 15th International Conference, BDAS 2019, Ustroń, Poland, May 28-31, 2019, Proceedings. Communications in Computer and Information Science 1018, Springer 2019, ISBN 978-3-030-19092-7 [contents] - [i2]Michal Kawulok, Pawel Benecki, Szymon Piechaczek, Krzysztof Hrynczenko, Daniel Kostrzewa, Jakub Nalepa:
Deep Learning for Multiple-Image Super-Resolution. CoRR abs/1903.00440 (2019) - [i1]Michal Kawulok, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Daniel Kostrzewa, Jakub Nalepa:
On training deep networks for satellite image super-resolution. CoRR abs/1906.06697 (2019) - 2018
- [c16]Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa, Lukasz Skonieczny:
Towards Robust Evaluation of Super-Resolution Satellite Image Reconstruction. ACIIDS (1) 2018: 476-486 - [c15]Daniel Kostrzewa, Robert Brzeski, Maciej Kubanski:
The Classification of Music by the Genre Using the KNN Classifier. BDAS 2018: 233-242 - [c14]Daniel Kostrzewa, Lukasz Skonieczny, Pawel Benecki, Michal Kawulok:
B4MultiSR: A Benchmark for Multiple-Image Super-Resolution Reconstruction. BDAS 2018: 361-375 - [c13]Michal Kawulok, Pawel Benecki, Daniel Kostrzewa, Lukasz Skonieczny:
Towards Evolutionary Super-Resolution. EvoApplications 2018: 480-496 - [c12]Michal Kawulok, Pawel Benecki, Daniel Kostrzewa, Lukasz Skonieczny:
Evolving imaging model for super-resolution reconstruction. GECCO (Companion) 2018: 284-285 - [c11]Michal Kawulok, Daniel Kostrzewa, Pawel Benecki, Lukasz Skonieczny:
Optimizing Super-resolution Reconstruction using a Genetic Algorithm. ICAART (2) 2018: 599-605 - [e5]Stanislaw Kozielski, Dariusz Mrozek, Pawel Kasprowski, Bozena Malysiak-Mrozek, Daniel Kostrzewa:
Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety - 14th International Conference, BDAS 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Poznan, Poland, September 18-20, 2018, Proceedings. Communications in Computer and Information Science 928, Springer 2018, ISBN 978-3-319-99986-9 [contents] - 2017
- [c10]Daniel Kostrzewa, Robert Brzeski:
Parametric Optimization of the Selected Classifiers in Binary Classification. ACIIDS (Extended Posters) 2017: 59-69 - [c9]Daniel Kostrzewa, Robert Brzeski:
Adjusting Parameters of the Classifiers in Multiclass Classification. BDAS 2017: 89-101 - [c8]Daniel Kostrzewa, Robert Brzeski:
The Data Dimensionality Reduction in the Classification Process Through Greedy Backward Feature Elimination. ICMMI 2017: 397-407 - [e4]Stanislaw Kozielski, Dariusz Mrozek, Pawel Kasprowski, Bozena Malysiak-Mrozek, Daniel Kostrzewa:
Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation - 13th International Conference, BDAS 2017, Ustroń, Poland, May 30 - June 2, 2017, Proceedings. Communications in Computer and Information Science 716, 2017, ISBN 978-3-319-58273-3 [contents] - 2016
- [c7]Daniel Kostrzewa, Malgorzata Bach, Robert Brzeski, Aleksandra Werner:
Performance Aspect of the In-Memory Databases Accessed via JDBC. BDAS 2016: 236-252 - [e3]Stanislaw Kozielski, Dariusz Mrozek, Pawel Kasprowski, Bozena Malysiak-Mrozek, Daniel Kostrzewa:
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 613, Springer 2016, ISBN 978-3-319-34098-2 [contents] - 2015
- [e2]Stanislaw Kozielski, Dariusz Mrozek, Pawel Kasprowski, Bozena Malysiak-Mrozek, Daniel Kostrzewa:
Beyond Databases, Architectures and Structures - 11th International Conference, BDAS 2015, Ustroń, Poland, May 26-29, 2015, Proceedings. Communications in Computer and Information Science 521, Springer 2015, ISBN 978-3-319-18421-0 [contents] - 2014
- [c6]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: 585-594 - [c5]Daniel Kostrzewa, Henryk Josinski:
The exIWO Metaheuristic - A Recapitulation of the Research on the Join Ordering Problem. BDAS 2014: 10-19 - [e1]Stanislaw Kozielski, Dariusz Mrozek, Pawel Kasprowski, Bozena Malysiak-Mrozek, Daniel Kostrzewa:
Beyond Databases, Architectures, and Structures - 10th International Conference, BDAS 2014, Ustron, Poland, May 27-30, 2014. Proceedings. Communications in Computer and Information Science 424, Springer 2014, ISBN 978-3-319-06931-9 [contents] - 2013
- [c4]Daniel Kostrzewa, Henryk Josinski:
Using the Expanded IWO Algorithm to Solve the Traveling Salesman Problem. ICAART (2) 2013: 451-456 - [p1]Henryk Josinski, Daniel Kostrzewa, Agnieszka Michalczuk, Adam Switonski, Konrad W. Wojciechowski:
Feature Extraction and HMM-Based Classification of Gait Video Sequences for the Purpose of Human Identification. Vision Based Systemsfor UAV Applications 2013: 233-245 - 2012
- [c3]Daniel Kostrzewa, Henryk Josinski:
The Modified IWO Algorithm for Optimization of Numerical Functions. ICAISC (SIDE-EC) 2012: 267-274 - 2011
- [c2]Daniel Kostrzewa, Henryk Josinski:
Verification of the Search Space Exploration Strategy Based on the Solutions of the Join Ordering Problem. ICMMI 2011: 447-455
2000 – 2009
- 2009
- [c1]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: 505-514
Coauthor Index
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last updated on 2024-11-07 20:32 CET by the dblp team
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