Deep learning for multiple-image super-resolution M Kawulok, P Benecki, S Piechaczek, K Hrynczenko, D Kostrzewa, ... IEEE Geoscience and Remote Sensing Letters 17 (6), 1062-1066, 2019 | 85 | 2019 |
Evaluating super-resolution reconstruction of satellite images P Benecki, M Kawulok, D Kostrzewa, L Skonieczny Acta Astronautica 153, 15-25, 2018 | 28 | 2018 |
Human identification based on gait motion capture data H Josinski, A Switonski, K Jedrasiak, D Kostrzewa Proceedings of the 2012 international multiconference of engineers and …, 2012 | 23 | 2012 |
The Expanded Invasive Weed Optimization Metaheuristic for Solving Continuous and Discrete Optimization Problems H Josiński, D Kostrzewa, A Michalczuk, A Świtoński The Scientific World Journal 2014, 2014 | 22 | 2014 |
Human Identification Based on Tensor Representation of the Gait Motion Capture Data H Josiński, A Świtoński, K Jędrasiak, D Kostrzewa Iaeng Transactions on Electrical Engineering: Special Issue of the …, 2013 | 19* | 2013 |
Human identification based on gait motion capture data H Josiński, A Świtoński, K Jędrasiak, D Kostrzewa Proceedings of the 2012 International MultiConference of Engineers and …, 2012 | 17* | 2012 |
Beyond databases, architectures and structures S Kozielski, D Mrozek, P Kasprowski, D Kostrzewa Springer, Berlin CrossRef Google Scholar, 2015 | 15 | 2015 |
Beyond Databases, Architectures, and Structures: 10th International Conference, BDAS 2014, Ustron, Poland, May 27-30, 2014. Proceedings S Kozielski, D Mrozek, P Kasprowski, B Małysiak-Mrozek, D Kostrzewa Springer, 2014 | 15* | 2014 |
Music genre classification: looking for the perfect network D Kostrzewa, P Kaminski, R Brzeski International Conference on Computational Science, 55-67, 2021 | 14 | 2021 |
The data dimensionality reduction in the classification process through greedy backward feature elimination D Kostrzewa, R Brzeski Man-Machine Interactions 5: 5th International Conference on Man-Machine …, 2018 | 14 | 2018 |
The comparison of an adapted evolutionary algorithm with the invasive weed optimization algorithm based on the problem of predetermining the progress of distributed data … D Kostrzewa, H Josiński Man-Machine Interactions, 505-514, 2009 | 14 | 2009 |
On training deep networks for satellite image super-resolution M Kawulok, S Piechaczek, K Hrynczenko, P Benecki, D Kostrzewa, ... IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 13 | 2019 |
Evolving imaging model for super-resolution reconstruction M Kawulok, P Benecki, D Kostrzewa, L Skonieczny Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 13 | 2018 |
Heuristic Method of Feature Selection for Person Re-identification Based on Gait Motion Capture Data H Josiński, A Michalczuk, D Kostrzewa, A Świtoński, K Wojciechowski Asian Conference on Intelligent Information and Database Systems, 585-594, 2014 | 12 | 2014 |
Feature Extraction and HMM-Based Classification of Gait Video Sequences for the Purpose of Human Identification H Josiński, D Kostrzewa, A Michalczuk, A Świtoński, K Wojciechowski Vision Based Systemsfor UAV Applications, 233-245, 2013 | 12 | 2013 |
Evaluating algorithms for anomaly detection in satellite telemetry data J Nalepa, M Myller, J Andrzejewski, P Benecki, S Piechaczek, ... Acta Astronautica 198, 689-701, 2022 | 11 | 2022 |
Singing Voice Detection: A Survey R Monir, D Kostrzewa, D Mrozek Entropy 24 (1), 114, 2022 | 11 | 2022 |
Deep Learning for Multiple-Image Super-Resolution of Sentinel-2 Data M Kawulok, T Tarasiewicz, J Nalepa, D Tyrna, D Kostrzewa 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 3885 …, 2021 | 9 | 2021 |
Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs P Benecki, S Piechaczek, D Kostrzewa, J Nalepa Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | 9 | 2021 |
Deep learning for fast super-resolution reconstruction from multiple images M Kawulok, P Benecki, K Hrynczenko, D Kostrzewa, S Piechaczek, ... Real-Time Image Processing and Deep Learning 2019 10996, 44-51, 2019 | 9 | 2019 |