Machine learning and deep learning frameworks and libraries for large-scale data mining: a survey G Nguyen, S Dlugolinsky, M Bobák, V Tran, Á López García, I Heredia, ... Artificial Intelligence Review 52, 77-124, 2019 | 788 | 2019 |
Process data infrastructure and data services R Cushing, O Valkering, A Belloum, S Madougou, M Bobak, O Habala, ... Computers and informatics, 2021 | 12 | 2021 |
Exascale computing and data architectures for brownfield applications M Bobák, ASZ Belloum, P Nowakowski, J Meizner, M Bubak, ... 2018 14th International Conference on Natural Computation, Fuzzy Systems and …, 2018 | 11 | 2018 |
Breast histopathology with high-performance computing and deep learning M Graziani, I Eggel, F Deligand, M Bobák, V Andrearczyk, H Mueller Computing and Informatics, 2021 | 10 | 2021 |
Heterogeneous exascale computing L Hluchý, M Bobák, H Müller, M Graziani, J Maassen, H Spreeuw, ... Recent advances in intelligent engineering: volume dedicated to Imre J …, 2020 | 10 | 2020 |
Tailored platforms as cloud service M Bobák, L Hluchý, V Tran 2015 IEEE 13th International Symposium on Intelligent Systems and …, 2015 | 10 | 2015 |
Reference exascale architecture M Bobák, L Hluchy, ASZ Belloum, R Cushing, J Meizner, P Nowakowski, ... 2019 15th International Conference on eScience (eScience), 479-487, 2019 | 7 | 2019 |
Towards exascale computing architecture and its prototype: services and infrastructure J Meizner, P Nowakowski, J Kapala, P Wojtowicz, M Bubak, V Tran, ... Computing and Informatics 39 (4), 860–880-860–880, 2020 | 5 | 2020 |
Application performance optimization in multicloud environment M Bobák, L Hluchý, V Tran Computing and Informatics 35 (6), 1359-1385, 2016 | 5 | 2016 |
A survey of the European Open Science Cloud services for expanding the capacity and capabilities of multidisciplinary scientific applications A Calatrava, H Asorey, J Astalos, A Azevedo, F Benincasa, I Blanquer, ... Computer Science Review 49, 100571, 2023 | 4 | 2023 |
Federated learning methods for analytics of big and sensitive distributed data and survey M Staňo, L Hluchý, M Bobák, P Krammer, V Tran 2023 IEEE 17th International Symposium on Applied Computational Intelligence …, 2023 | 4 | 2023 |
Container-based Video Streaming Service M Vidiečan, M Bobák 2022 IEEE 22nd International Symposium on Computational Intelligence and …, 2022 | 3 | 2022 |
Abstract model of k-cloud computing M Bobák, L Hluchý, V Tran 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery …, 2014 | 3 | 2014 |
Serverless computing and faas for airport meteorology L Hluchý, O Habala, M Bobák, V Tran, L Ivica 2022 Cybernetics & Informatics (K&I), 1-6, 2022 | 2 | 2022 |
Reference exascale architecture (extended version) M Bobák, L Hluchý, O Habala, V Tran, R Cushing, O Valkering, A Belloum, ... Computing and informatics 39 (4), 644–677-644–677, 2020 | 2 | 2020 |
Methodology for intercloud multicriteria optimization M Bobák, L Hluchý, V Tran 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery …, 2015 | 2 | 2015 |
Transformation of a legacy airport meteorology application into a serverless cloud application L Hluchý, O Habala, M Bobák, M Šeleng 2023 IEEE 17th International Symposium on Applied Computational Intelligence …, 2023 | 1 | 2023 |
Modular e-Commerce Data Warehouse using Microservices A Žák, M Bobák 2022 Cybernetics & Informatics (K&I), 1-6, 2022 | 1 | 2022 |
Geospatial preprocessing for situational assessment through hydraulic simulations G Nguyen, M Bobák, L Hluchý 2017 13th International Conference on Natural Computation, Fuzzy Systems and …, 2017 | 1 | 2017 |
General regression in cloud computing M Bobák, L Hluchý, V Tran IEEE 18th International Conference on Intelligent Engineering Systems INES …, 2014 | 1 | 2014 |