| Portable simd performance with openmp* 4. x compiler directives F Wende, M Noack, T Steinke, M Klemm, CJ Newburn, G Zitzlsberger Euro-Par 2016: Parallel Processing: 22nd International Conference on …, 2016 | 14 | 2016 |
| Neural network-based urban change monitoring with deep-temporal multispectral and SAR remote sensing data G Zitzlsberger, M Podhorányi, V Svatoň, M Lazecký, J Martinovič Remote Sensing 13 (15), 3000, 2021 | 12 | 2021 |
| Code vectorization using intel array notation O Krzikalla, G Zitzlsberger Proceedings of the 3rd Workshop on Programming Models for SIMD/Vector …, 2016 | 7 | 2016 |
| KART–a runtime compilation library for improving HPC application performance M Noack, F Wende, G Zitzlsberger, M Klemm, T Steinke High Performance Computing: ISC High Performance 2017 International …, 2017 | 6 | 2017 |
| Job simulation for large-scale pbs based clusters with the maui scheduler G Zitzlsberger, B Jansık, J Martinovic BIG DATA ANALYTICS, DATA MINING AND COMPUTATIONAL INTELLIGENCE 2018 THEORY …, 0 | 5 | |
| Blended-using blockchain and deep learning for space data processing B Valentin, L Gale, H Boulahya, B Charalampopoulou, KC Christos, ... Proceedings of the 2021 Conference on Big Data from Space, Virtual Event, 18-20, 2021 | 4 | 2021 |
| rsdtlib: Remote sensing with deep-temporal data library G Zitzlsberger, M Podhoranyi, J Martinovič SoftwareX 22, 101369, 2023 | 3 | 2023 |
| Highly scalable algorithm for computation of recurrence quantitative analysis T Martinovič, G Zitzlsberger The Journal of Supercomputing 75, 1175-1186, 2019 | 3 | 2019 |
| A practically feasible transfer learning method for deep-temporal urban change monitoring G Zitzlsberger, M Podhoranyi, J Martinovič International Journal of Remote Sensing 44 (17), 5172-5206, 2023 | 2 | 2023 |
| Svato n, V.; Lazecký, M.; Martinovic, J G Zitzlsberger, M Podhorányi Neural Network-Based Urban Change Monitoring with Deep-Temporal …, 2021 | 2 | 2021 |
| Feasibility analysis of using the maui scheduler for job simulation of large-scale pbs based clusters G Zitzlsberger, B Jansík, J Martinovič IADIS International Journal on Computer Science & Information Systems 13 (2), 2018 | 2 | 2018 |
| Monitoring of Urban Changes with multi-modal Sentinel 1 and 2 Data in Mariupol, Ukraine, in 2022/23 G Zitzlsberger, M Podhoranyi IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 | 1 | 2024 |
| Monitoring ground motion with InSAR EO Best Practice Guide M Lazecký, M Podhoranyi, G Zitzlsberger | 1 | 2021 |
| Monitoring Urban Changes in Mariupol/Ukraine in 2022/23 G Zitzlsberger, M Podhoranyi arXiv preprint arXiv:2309.08607, 2023 | | 2023 |
| Urban Change Monitoring with Neural Networks and Deep-Temporal Remote Sensing Data G Zitzlsberger Vysoká škola báňská–Technická univerzita Ostrava, 2023 | | 2023 |
| AIOPEN–PLATFORM EXTENSIONS WITH AI CAPABILITIES B Valentin, L Gale, J Lathouwers, G Smith, M Cerri, M Pellegrini, ... | | |
| A Runtime Compilation Library for Improving HPC Application Performance M NOACK, F WENDE, G ZITZLSBERGER, M KLEMM, T STEINKE | | |
| Monitoring Urban Changes with Ensemble of Neural Networks and Deep-Temporal Remote Sensing Data G Zitzlsberger, M Podhoranyi, V Svatoň, M Lazecký, J Martinovič | | |
| Poster: Job Simulation for large-scale PBS based Clusters with the Maui Scheduler G Zitzlsberger, B Jansík, J Martinovič | | |