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Rocco Sedona
Rocco Sedona
Postdoctoral researcher at Forschungszentrum Jülich
Verified email at fz-juelich.de
Title
Cited by
Cited by
Year
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
372019
Juwels booster–a supercomputer for large-scale ai research
S Kesselheim, A Herten, K Krajsek, J Ebert, J Jitsev, M Cherti, M Langguth, ...
High Performance Computing: ISC High Performance Digital 2021 International …, 2021
152021
Practice and experience in using parallel and scalable machine learning with heterogenous modular supercomputing architectures
M Riedel, R Sedona, C Barakat, P Einarsson, R Hassanian, G Cavallaro, ...
2021 IEEE International Parallel and Distributed Processing Symposium …, 2021
122021
A high-performance multispectral adaptation GAN for harmonizing dense time series of landsat-8 and sentinel-2 images
R Sedona, C Paris, G Cavallaro, L Bruzzone, M Riedel
IEEE journal of selected topics in applied earth observations and remote …, 2021
82021
Accelerating hyperparameter tuning of a deep learning model for remote sensing image classification
M Aach, R Sedona, A Lintermann, G Cavallaro, H Neukirchen, M Riedel
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
72022
Evolutionary optimization of neural architectures in remote sensing classification problems
D Coquelin, R Sedona, M Riedel, M Götz
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 1587 …, 2021
62021
Scaling up a Multispectral RESNET-50 to 128 GPUs
R Sedona, G Cavallaro, J Jitsev, A Strube, M Riedel, M Book
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
62020
Enhancing large batch size training of deep models for remote sensing applications
R Sedona, G Cavallaro, M Riedel, M Book
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 1583 …, 2021
32021
Exploration of machine learning methods for the classification of infrared limb spectra of polar stratospheric clouds
R Sedona, L Hoffmann, R Spang, G Cavallaro, S Griessbach, M Höpfner, ...
Atmospheric measurement techniques 13 (7), 3661-3682, 2020
32020
An automatic approach for the production of a time series of consistent land-cover maps based on long-short term memory
R Sedona, C Paris, L Tian, M Riedel, G Cavallaro
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
22022
Accuracy assessment of land-use-land-cover maps: the semantic gap between in situ and satellite data
C Paris, L Martinez-Sanchez, M van der Velde, S Sharma, R Sedona, ...
Image and Signal Processing for Remote Sensing XXIX 12733, 187-200, 2023
12023
End-to-End Process Orchestration of Earth Observation Data Workflows with Apache Airflow on High Performance Computing
L Tian, R Sedona, A Mozaffari, E Kreshpa, C Paris, M Riedel, MG Schultz, ...
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
12023
Scalable machine learning with high performance and cloud computing
DIG Cavallaro, MS Memon, R Sedona
IEEE international geoscience and remote sensing symposium (IGARSS)(No. FZJ …, 2020
12020
Vectorized Highly Parallel Density-based Clustering for Applications with Noise
JX Arnold, JPGH Muriedas, S Nassyr, R Sedona, M Götz, A Streit, ...
Authorea Preprints, 2024
2024
Toward the Production of Spatiotemporally Consistent Annual Land Cover Maps using Sentinel-2 Time Series
R Sedona, C Paris, J Ebert, M Riedel, G Cavallaro
IEEE Geoscience and Remote Sensing Letters, 2023
2023
AI4HPC: Library to Train AI Models on HPC Systems using CFD Datasets
E Inanc, R Sarma, M Aach, R Sedona, A Lintermann
Workshop on Advancing Neural Network Training: Computational Efficiency …, 2023
2023
Enhancing Training Set Through Multi-Temporal Attention Analysis in Transformers for Multi-Year Land Cover Mapping
R Sedona, J Ebert, C Paris, M Riedel, G Cavallaro
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023
2023
Scalable Deep Learning for Remote Sensing with High Performance Computing
R Sedona
University of Iceland, School of Engineering and Natural Sciences, Faculty …, 2023
2023
Challenges and Opportunities in the Adoption of High Performance Computing for Earth Observation in the Exascale Era
G Cavallaro, K Michielsen, A Lintermann, M Riedel, R Sedona
Conference on Big Data from Space 2023, 2023
2023
JUWELS Booster–A Supercomputer for Large-Scale AI Research
J Jitsev, M Cherti, M Langguth, B Gong, S Stadtler, A Mozaffari, ...
High Performance Computing: ISC High Performance Digital 2021 International …, 2021
2021
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