| Smart medical information technology for healthcare (SMITH) A Winter, S Stäubert, D Ammon, S Aiche, O Beyan, V Bischoff, P Daumke, ... Methods of information in medicine 57 (S 01), e92-e105, 2018 | 178 | 2018 |
| On understanding big data impacts in remotely sensed image classification using support vector machine methods G Cavallaro, M Riedel, M Richerzhagen, JA Benediktsson, A Plaza IEEE journal of selected topics in applied earth observations and remote …, 2015 | 131 | 2015 |
| Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients SJ Fritsch, A Blankenheim, A Wahl, P Hetfeld, O Maassen, S Deffge, ... Digital health 8, 20552076221116772, 2022 | 130 | 2022 |
| UNICORE—from project results to production grids A Streit, D Erwin, T Lippert, D Mallmann, R Menday, M Rambadt, M Riedel, ... Advances in Parallel Computing 14, 357-376, 2005 | 126 | 2005 |
| UNICORE 6—recent and future advancements A Streit, P Bala, A Beck-Ratzka, K Benedyczak, S Bergmann, R Breu, ... Annals of Telecommunications-annales des Télécommunications 65, 757-762, 2010 | 121 | 2010 |
| Future medical artificial intelligence application requirements and expectations of physicians in German university hospitals: web-based survey O Maassen, S Fritsch, J Palm, S Deffge, J Kunze, G Marx, M Riedel, ... Journal of medical Internet research 23 (3), e26646, 2021 | 93 | 2021 |
| Interoperation of world‐wide production e‐Science infrastructures M Riedel, E Laure, T Soddemann, L Field, JP Navarro, J Casey, ... Concurrency and Computation: Practice and Experience 21 (8), 961-990, 2009 | 83 | 2009 |
| HPDBSCAN: highly parallel DBSCAN M Götz, C Bodenstein, M Riedel Proceedings of the workshop on machine learning in high-performance …, 2015 | 81 | 2015 |
| Classification of different approaches for e-science applications in next generation computing infrastructures M Riedel, A Streit, F Wolf, T Lippert, D Kranzlmüller 2008 ieee fourth international conference on escience, 198-205, 2008 | 49 | 2008 |
| Approaching remote sensing image classification with ensembles of support vector machines on the d-wave quantum annealer G Cavallaro, D Willsch, M Willsch, K Michielsen, M Riedel IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 47 | 2020 |
| Quantum support vector machine algorithms for remote sensing data classification A Delilbasic, G Cavallaro, M Willsch, F Melgani, M Riedel, K Michielsen 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2608 …, 2021 | 44 | 2021 |
| Gridbeans: Support e-science and grid applications R Ratering, A Lukichev, M Riedel, D Mallmann, A Vanni, C Cacciari, ... 2006 Second IEEE International Conference on e-Science and Grid Computing (e …, 2006 | 44 | 2006 |
| Remote sensing big data classification with high performance distributed deep learning R Sedona, G Cavallaro, J Jitsev, A Strube, M Riedel, JA Benediktsson Remote Sensing 11 (24), 3056, 2019 | 43 | 2019 |
| Research advances by using interoperable e-science infrastructures: the infrastructure interoperability reference model applied in e-science M Riedel, F Wolf, D Kranzlmüller, A Streit, T Lippert Cluster computing 12, 357-372, 2009 | 42 | 2009 |
| Improving e-Science with Interoperability of the e-Infrastructures EGEE and DEISA M Riedel, A Memon, M Memon, D Mallmann, A Streit, F Wolf, T Lippert, ... Proceedings of the 31st International Convention MIPRO, Conference on Grid …, 2008 | 41 | 2008 |
| Deisa—distributed european infrastructure for supercomputing applications W Gentzsch, D Girou, A Kennedy, H Lederer, J Reetz, M Riedel, A Schott, ... Journal of Grid Computing 9, 259-277, 2011 | 40 | 2011 |
| Open standards-based interoperability of job submission and management interfaces across the grid middleware platforms glite and unicore M Marzolla, P Andreetto, V Venturi, A Ferraro, S Memon, S Memon, ... Third IEEE International Conference on e-Science and Grid Computing (e …, 2007 | 37 | 2007 |
| Cloud Deep Networks for Hyperspectral Image Analysis M Haut, J.M., Gallardo, J.A., Paoletti, M.E., Cavallaro, G., Plaza, J ... IEEE Transactions on Geoscience and Remote Sensing, https://doi.org/10.1109 …, 2019 | 33* | 2019 |
| Standardization processes of the unicore grid system M Riedel, D Mallmann Proceedings of 1st Austrian Grid Symposium 2006, 2005 | 32 | 2005 |
| The influence of sampling methods on pixel-wise hyperspectral image classification with 3D convolutional neural networks J Lange, G Cavallaro, M Götz, E Erlingsson, M Riedel IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 29 | 2018 |
Gabriele CavallaroForschungszentrum Jülich and University of IcelandEmail verificata su fz-juelich.de
