Pawel Benecki
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
8
Active years
2018–2025
Best venue rank
Multiconference
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | FedCSIS | Keypoint-based metric for evaluating image super-resolution quality. | Jakub Sadel, Tomasz Tarasiewicz, Pawel Kowaleczko, Maciej Ziaja, Daniel Kostrzewa, Pawel Benecki, Michal Kawulok |
| 2025 | PRICAI | Metric Learning for Multi-image Super-Resolution. | Pawel Benecki, Daniel Kostrzewa, Michal Kawulok |
| 2024 | GECCO | Enhancing Anomaly Detection in Automated Guided Vehicles through Feature Weight Optimization. | Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek |
| 2024 | ICCS | 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 |
| 2023 | GECCO | Optimizing Telemetry Signal Influence for Power Consumption Prediction. | Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek |
| 2023 | ICCS | 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 |
| 2023 | IGARSS | Perceptual Loss for Training Multi-Image Super-Resolution. | Pawel Benecki, Daniel Kostrzewa, Michal Kawulok |
| 2023 | IGARSS | A Sequential Approach for On-board Rock Detection from Lunar Images. | Piotr Bosowski, Jakub Sadel, Marcin Cwiek, Tomasz Strzalka, Marek Wiejak, Pawel Benecki, Michal Kawulok |
| 2022 | ICCS | On-Edge Aggregation Strategies over Industrial Data Produced by Autonomous Guided Vehicles. | Piotr Grzesik, Pawel Benecki, Daniel Kostrzewa, Bohdan Shubyn, Dariusz Mrozek |
| 2022 | ICCS | Designing a Training Set for Musical Instruments Identification. | Daniel Kostrzewa, Blazej Koza, Pawel Benecki |
| 2022 | ICCS | 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 |
| 2022 | SMC | 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 |
| 2021 | GECCO | Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs. | Pawel Benecki, Szymon Piechaczek, Daniel Kostrzewa, Jakub Nalepa |
| 2020 | IGARSS | Evaluating Super-Resolution of Satellite Images: A Proba-V Case Study. | Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa |
| 2019 | ACIIDS | Enhancing the Resolution of Satellite Images Using the Best Matching Image Fragment. | Daniel Kostrzewa, Pawel Benecki, Lukasz Jenczmyk |
| 2019 | IGARSS | On Training Deep Networks for Satellite Image Super-Resolution. | Michal Kawulok, Szymon Piechaczek, Krzysztof Hrynczenko, Pawel Benecki, Daniel Kostrzewa, Jakub Nalepa |
| 2018 | ACIIDS | Towards Robust Evaluation of Super-Resolution Satellite Image Reconstruction. | Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa, Lukasz Skonieczny |
| 2018 | GECCO | Evolving imaging model for super-resolution reconstruction. | Michal Kawulok, Pawel Benecki, Daniel Kostrzewa, Lukasz Skonieczny |
| 2018 | ICAART | Optimizing Super-resolution Reconstruction using a Genetic Algorithm. | Michal Kawulok, Daniel Kostrzewa, Pawel Benecki, Lukasz Skonieczny |