| 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 | Genetic Algorithm-Based Optimization ofWeighted Voting in Ensemble Models for Time Signature Detection. | Jeremiah Abimbola, Daniel Kostrzewa, Pawel Kasprowski |
| 2024 | GECCO | Enhancing Anomaly Detection in Automated Guided Vehicles through Feature Weight Optimization. | Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek |
| 2024 | ICCCI | Music Genre Classification Using Hybrid Committees and Voting Mechanisms. | Daniel Kostrzewa, Piotr Berezka, Robert Brzeski |
| 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 |
| 2024 | ICCS | From Sound to Map: Predicting Geographic Origin in Traditional Music Works. | Daniel Kostrzewa, Pawel Grabczynski |
| 2024 | IGARSS | Toward Task-Driven Satellite Image Super-Resolution. | Maciej Ziaja, Pawel Kowaleczko, Daniel Kostrzewa, Nicolas Longp, Michal Kawulok |
| 2023 | GECCO | Optimization of MFCCs for Time Signature Detection Using Genetic Algorithm. | Jeremiah Abimbola, Daniel Kostrzewa, Pawel Kasprowski |
| 2023 | GECCO | Optimizing Telemetry Signal Influence for Power Consumption Prediction. | Pawel Benecki, Daniel Kostrzewa, Piotr Grzesik, Bohdan Shubyn, Dariusz Mrozek |
| 2023 | GECCO | Genetic Structural NAS: A Neural Network Architecture Search with Flexible Slot Connections. | Jakub Sadel, Michal Kawulok, Mateusz Przeliorz, Jakub Nalepa, Daniel Kostrzewa |
| 2023 | ICCS | Tempo and Time Signature Detection of a Musical Piece. | Daniel Kostrzewa, Marek Zabialowicz |
| 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 | 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 |
| 2023 | IGARSS | Perceptual Loss for Training Multi-Image Super-Resolution. | Pawel Benecki, Daniel Kostrzewa, Michal Kawulok |
| 2023 | IGARSS | 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 |
| 2023 | KES | CLEANSE - Cluster-based Undersampling Method. | Malgorzata Bach, Paulina Trofimiak, Daniel Kostrzewa, Aleksandra Werner |
| 2022 | GECCO | Evolvable hybrid ensembles for musical genre classification. | Daniel Kostrzewa, Michal Ciszynski, Robert Brzeski |
| 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 | Wide Ensembles of Neural Networks in Music Genre Classification. | Daniel Kostrzewa, Wojciech Mazur, Robert Brzeski |
| 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 |
| 2021 | ICCS | Music Genre Classification: Looking for the Perfect Network. | Daniel Kostrzewa, Piotr Kaminski, Robert Brzeski |
| 2021 | IGARSS | Deep Learning for Multiple-Image Super-Resolution of Sentinel-2 Data. | Michal Kawulok, Tomasz Tarasiewicz, Jakub Nalepa, Diana Tyrna, Daniel Kostrzewa |
| 2020 | ICAISC | Optimization of the Values of Classifiers Parameters - Is it Still Worthwhile to Deal with it? | Daniel Kostrzewa, Konrad Karczewski, Robert Brzeski |
| 2020 | IGARSS | Evaluating Super-Resolution of Satellite Images: A Proba-V Case Study. | Michal Kawulok, Pawel Benecki, Jakub Nalepa, Daniel Kostrzewa |
| 2019 | ACIIDS | The Data Dimensionality Reduction and Features Weighting in the Classification Process Using Forest Optimization Algorithm. | Daniel Kostrzewa, Robert Brzeski |
| 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 |
| 2017 | ACIIDS | Parametric Optimization of the Selected Classifiers in Binary Classification. | Daniel Kostrzewa, Robert Brzeski |
| 2014 | ACIIDS | 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 |
| 2013 | ICAART | Using the Expanded IWO Algorithm to Solve the Traveling Salesman Problem. | Daniel Kostrzewa, Henryk Josinski |
| 2012 | ICAISC | The Modified IWO Algorithm for Optimization of Numerical Functions. | Daniel Kostrzewa, Henryk Josinski |