ZITZLSBERGER, Georg and Michal PODHORÁNYI. Monitoring of Urban Changes With Multimodal Sentinel 1 and 2 Data in Mariupol, Ukraine, in 2022/23. IEEE Journal of selected topics in applied earth observations and remote sensing. Piscataway: IEEE - Institute of Electrical and Electronics Engineers, 2024, 17(February), p. 5245-5265. ISSN 1939-1404. [Detail]

ZITZLSBERGER, Georg, Michal PODHORÁNYI and Jan MARTINOVIČ. A practically feasible transfer learning method for deep-temporal urban change monitoring. International Journal of Remote Sensing. Oslo: Taylor & Francis, 2023, 44(17), p. 5172-5206. ISSN 0143-1161. [Detail]

ZITZLSBERGER, Georg, Michal PODHORÁNYI and Jan MARTINOVIČ. rsdtlib: Remote sensing with deep-temporal data library. SoftwareX. Elsevier, 2023, 22(May), p. nestránkováno. ISSN 2352-7110. [Detail]

ZITZLSBERGER, Georg, Michal PODHORÁNYI, Václav SVATOŇ, Milan LAZECKÝ and Jan MARTINOVIČ. Neural Network-Based Urban Change Monitoring with Deep-Temporal Multispectral and SAR Remote Sensing Data. Remote Sensing. BASEL: MDPI Open Access Publishing, 2021, 13(15), p. nestránkováno. ISSN 2072-4292. [Detail]

MARTINOVIČ, Tomáš and Georg ZITZLSBERGER. Highly scalable algorithm for computation of recurrence quantitative analysis. Journal of Supercomputing. Springer, 2019, 75(3), p. 1175-1186. ISSN 0920-8542. [Detail]

ZITZLSBERGER, Georg, Branislav JANSÍK and Jan MARTINOVIČ. FEASIBILITY ANALYSIS OF USING THE MAUI SCHEDULER FOR JOB SIMULATION OF LARGE-SCALE PBS BASED CLUSTERS. IADIS International Journal on Computer Science and Information Systems. IADIS, 2018, 13(2), p. 47-61. ISSN 1646-3692. [Detail]

VALENTIN, Bernard, Leslie GALE, Jannes LATHOUWERS, Garin SMITH, Marco CERRI, Marco PELLEGRINI, Francesco FERRANTE, Jakub NALEPA, Łukasz TULCZYJEW, Jakub SĄDEL, Mateusz PRZELIORZ, Daniel KOSTRZEWA, Václav SVATOŇ and Georg ZITZLSBERGER. AIOPEN - Platform extensions with AI capabilities. In: Proceedings of the 2023 Conference on Big Data from Space, 6-9 November 2023, Vienna, Austria. Lucemburk: Publications Office of the European Union, 2023. p. 257-260. ISBN 978-92-68-08696-4. [Detail]

ZITZLSBERGER, Georg, Branislav JANSÍK and Jan MARTINOVIČ. Job simulation for large-scale PBS based clusters with the Maui Scheduler. In: MCCSIS 2018 - Multi Conference on Computer Science and Information Systems; Proceedings of the International Conferences on Big Data Analytics, Data Mining and Computational Intelligence 2018, Theory and Practice in Modern Computing 2018 and Connected Smart Cities 2018. Lisabon: IADIS, 2018. p. 137-145. ISBN 978-989-8533-80-7. [Detail]

VALENTIN, Bernard, Gale GALE, Hakim BOULAHYA, Betty CHARALAMPOPOULOU, Christos KONTOPOULOS, Dimitris POURSANIDIS, Nektarios CHRYSOULAKIS, Václav SVATOŇ, Georg ZITZLSBERGER, Michal PODHORÁNYI, Dušan KOLÁŘ, Vladimı́r VESELÝ, Ondřej LICHTNER, Michal KOUTENSKÝ, Dominika REGÉCIOVÁ and Matúš MÚČKA. BLENDED - USING BLOCKCHAIN AND DEEP LEARNING FOR SPACE DATA PROCESSING. 2021. [Detail]

ZITZLSBERGER, Georg and Vojtěch CIMA. Development and Optimization of a Multi-Label SVM for Chemogenomics. PRACE - Partnership for Advanced Computing in Europe., 2019. [Detail]

ZITZLSBERGER, Georg, Martin GOLASOWSKI and Vojtěch CIMA. Řešení smluvního výzkumu pro firmu Bayncore limited v oblasti poradenství a informačních technologií. Bayncore limited, 2018. [Detail]

ZITZLSBERGER, Georg. Documentation of „rsdtlib: Remote Sensing with Deep-Temporal Data Library”. Ostrava: VŠB-TUO, 2022. [Detail]

ZITZLSBERGER, Georg. Documentation of "ERCNN-DRS Urban Change Monitoring", https://github.com/It4innovations/ERCNN-DRS_urban_change_monitoring. Czech Republic: IT4Innovatios, 2021. [Detail]

ZITZLSBERGER, Georg. Documentation of "Maui Simulation Setup for IT4Innovations". Ostrava: Vysoká škola báňská-Technická univerzita Ostrava, 2019. [Detail]

ZITZLSBERGER, Georg. Documentation of "Computing FLOPs with Intel Software Development Emulator (Intel SDE)" script. Ostrava: VŠB - TU Ostrava, IT4Innovations, 2018. [Detail]

ZITZLSBERGER, Georg. opm_flow_validator: Validate OPM Flow Results. Vysoká škola báňská - Technická univerzita Ostrava, 2023. [Detail]

ZITZLSBERGER, Georg. Monitoring Urban Changes in Mariupol/Ukraine. Vysoká škola báňská - Technická univerzita Ostrava, 2023. [Detail]

ZITZLSBERGER, Georg. rsdtlib: Remote Sensing with Deep-Temporal Data Library. VŠB-TUO, 2022. [Detail]

ZITZLSBERGER, Georg. ERCNN-DRS Urban Change Monitoring. VŠB-TUO, 2021. [Detail]

ZITZLSBERGER, Georg. Maui Simulation Setup for IT4Innovations. Vysoká škola báňská - Technická univerzita Ostrava, 2019. [Detail]

ZITZLSBERGER, Georg. Computing FLOPs with Intel Software Development Emulator (Intel SDE). VŠB - TU Ostrava, IT4Innovations, 2018. [Detail]

MARTINOVIČ, Tomáš and Georg ZITZLSBERGER. RQA_HPC. VŠB - TU Ostrava, 2017. [Detail]

ZITZLSBERGER, Georg. Building Transformer-Based Natural Language Processing Applications. 2024. [Detail]

ZITZLSBERGER, Georg. Applications of AI for Predictive Maitenance. 2023. [Detail]

ZITZLSBERGER, Georg, Soner STEINER and Stephen BLAIR-CHAPPELL. Programming heterogeneous environments with Intel oneAPI. 2023. [Detail]

JANSÍK, Branislav, Jan VICHEREK, Georg ZITZLSBERGER and Matias JÄÄSKELÄINEN. Access to LUMI. 2023. [Detail]

ZITZLSBERGER, Georg. Applications of AI for Anomaly Detection. 2023. [Detail]

ZITZLSBERGER, Georg, Tugba Taskaya TEMIZEL, Alptekin TEMIZEL and Arif Ozan KIZILDAĞ. Mastering Transformers: From Building Blocks to Real-World Applications. 2023. [Detail]

ZITZLSBERGER, Georg. Data Parallelism: How to Train Deep Learning Models on Multiple GPUs. 2023. [Detail]

ZITZLSBERGER, Georg and Soner STEINER. Programming in heterogeneous environments with SYCL and OpenMP offloading. 2023. [Detail]

KOZUBEK, Tomáš, Ondřej MECA, Georg ZITZLSBERGER, Tomáš MARTINOVIČ, Tomáš STRATIL, Tomáš KARÁSEK, Claudia BLAAS-SCHENNER, Simeon HARRISON, Leon KOS, Pavel TOMŠIČ and Domitila BRANDONI. HPC in data Science: focus on Big Data and AI. 2023. [Detail]

ZITZLSBERGER, Georg. Fundamentals of Deep Learning. 2022. [Detail]

ZITZLSBERGER, Georg. Building Transformer-Based Natural Language Processing Applications. 2022. [Detail]

ZITZLSBERGER, Georg. Introduction to Machine and Deep Learning. 2022. [Detail]

ZITZLSBERGER, Georg. Fundamentals of Deep Learning using MultiGPUs. 2022. [Detail]

LAZECKÝ, Milan, Michal PODHORÁNYI and Georg ZITZLSBERGER. Monitoring ground motion with InSAR EO. 2022. [Detail]

ZITZLSBERGER, Georg and David ČÍŽ. Introduction to Machine and Deep Learning. 2022. [Detail]

ZITZLSBERGER, Georg, Michael KLEMM and Christian TERBOVEN. Parallel Programming with OpenMP. 2022. [Detail]

BÖHM, Stanislav and Georg ZITZLSBERGER. Python and scikit-learn for HPC (PTC course). 2021. [Detail]

JANSÍK, Branislav, Georg ZITZLSBERGER and Stanislav BÖHM. Efficient multi-GPU and multi-node execution of AI applications and frameworks on the GPU nodes of Karolina supercomputer (EuroCC course). 2021. [Detail]

ZITZLSBERGER, Georg, Volker WEINBERG and Momme ALLALEN. NVIDIA AI & HPC ACADEMY 2020 (IT4I training). 2020. [Detail]

ZITZLSBERGER, Georg. Fundamentals of Deep Learning for Computer Vision (IT4I training). 2020. [Detail]

ZITZLSBERGER, Georg. Fundamentals of Deep Learning for Multiple Data Types (PTC Course). 2020. [Detail]

ZITZLSBERGER, Georg. Fundamentals of Deep Learning for Multi-GPUs (PTC Course). 2020. [Detail]