| 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 | 759 | 2019 |
| A cloud-based framework for machine learning workloads and applications ÁL García, JM De Lucas, M Antonacci, W Zu Castell, M David, M Hardt, ... IEEE access 8, 18681-18692, 2020 | 76 | 2020 |
| Deep learning for proactive network monitoring and security protection G Nguyen, S Dlugolinsky, V Tran, AL Garcia ieee Access 8, 19696-19716, 2020 | 55 | 2020 |
| Parallel Processing and Applied Mathematics RWJ Dongarra, MPJ Wasniewski | 40* | |
| Parallel Program development for cluster computing: methodology, tools and integrated environments JC Cunha, P Kacsuk Nova Science Pub Inc, 2001 | 38 | 2001 |
| A roadmap for a dedicated Earth Science Grid platform R Cossu, M Petitdidier, J Linford, V Badoux, L Fusco, B Gotab, L Hluchy, ... Earth Science Informatics 3 (3), 135-148, 2010 | 31 | 2010 |
| Flood Forecasting in CrossGrid project L Hluchy, VD Tran, O Habala, B Simo, E Gatial, J Astalos, M Dobrucky Grid Computing: Second European AcrossGrids Conference, AxGrids 2004 …, 2004 | 30 | 2004 |
| A generic development and deployment framework for cloud computing and distributed applications MB Nguyen, V Tran, L Hluchy Computing and informatics 32 (3), 461-485, 2013 | 24 | 2013 |
| Problem-solving environment for flood forecasting L Hluchy, O Habala, B Simo, J Astalos, VD Tran, M Dobrucky Management of Environmental Quality: An International Journal 15 (3), 268-275, 2004 | 23* | 2004 |
| & Hluchý G Nguyen, S Dlugolinsky, M Bobák, V Tran, ÁL García, I Heredia Machine learning and deep learning frameworks and libraries for largescale …, 2019 | 20 | 2019 |
| Parallel flood modeling systems L Hluchy, VD Tran, J Astalos, M Dobrucky, GT Nguyen, D Froehlich International Conference on Computational Science, 543-551, 2002 | 20 | 2002 |
| Flood forecasting in a Grid computing environment L Hluchý, J Astaloš, M Dobrucký, O Habala, B Šimo, V Tran Parallel Processing and Applied Mathematics, 831-839, 2004 | 15* | 2004 |
| Effective computation resilience in high performance and distributed environments L Hluchý, G Nguyen, J Astaloš, V Tran, V Šipková, BM Nguyen Computing and Informatics 35 (6), 1386-1415, 2016 | 14 | 2016 |
| Hydro-meteorological scenarios using advanced data mining and integration L Hluchy, O Habala, V Tran, M Ciglan 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery …, 2009 | 14 | 2009 |
| Methods and experiences of parallelizing flood models L Hluchy, V Tran, D Froehlich, W Castaings Recent Advances in Parallel Virtual Machine and Message Passing Interface …, 2003 | 14 | 2003 |
| Data driven graph: A parallel program model for scheduling VD Tran, L Hluchy, GT Nguyen Languages and Compilers for Parallel Computing: 12th International Workshop …, 2000 | 12 | 2000 |
| PROCESS Data Infrastructure and Data Services. R Cushing, O Valkering, A Belloum, S Madougou, M Bobak, O Habala, ... Computing & Informatics 39 (4), 2020 | 11 | 2020 |
| Parallelizing flood models with mpi: approaches and experiences V Tran, L Hluchy Computational Science-ICCS 2004, 425-428, 2004 | 11 | 2004 |
| Parallel programming with data driven model VD Tran, L Hluchy, GT Nguyen Proceedings 8th Euromicro Workshop on Parallel and Distributed Processing …, 2000 | 11 | 2000 |
| 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 |
