Remote Sensing Big Data Classification with High Performance Distributed Deep Learning. - Rocco Sedona; Gabriele Cavallaro; Jenia Jitsev; Alexandre Strube; Morris Riedel; Jón Atli Benediktsson (Remote. Sens., 2019)

Scaling Up a Multispectral Resnet-50 to 128 GPUs. - Rocco Sedona; Gabriele Cavallaro; Jenia Jitsev; Alexandre Strube; Morris Riedel; Matthias Book (IGARSS, 2020)

Evolutionary Optimization of Neural Architectures in Remote Sensing Classification Problems. - Daniel Coquelin; Rocco Sedona; Morris Riedel; Markus Götz (IGARSS, 2021)

Enhancing Large Batch Size Training of Deep Models for Remote Sensing Applications. - Rocco Sedona; Gabriele Cavallaro; Morris Riedel; Matthias Book (IGARSS, 2021)

Practice and Experience in using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures. - Morris Riedel; Rocco Sedona; Chadi Barakat; Pétur Helgi Einarsson; Reza Hassanian; Gabriele Cavallaro; Matthias Book; Helmut Neukirchen; Andreas Lintermann (IPDPS Workshops, 2021)

Design and Evaluation of an HPC-based Expert System to speed-up Retail Data Analysis using Residual Networks Combined with Parallel Association Rule Mining and Scalable Recommenders. - Chadi Barakat; Morris Riedel; Sigurður Brynjólfsson; Gabriele Cavallaro; J. Busch; Rocco Sedona (MIPRO, 2021)

JUWELS Booster - A Supercomputer for Large-Scale AI Research. - Stefan Kesselheim; Andreas Herten; Kai Krajsek; Jan Ebert; Jenia Jitsev; Mehdi Cherti; Michael Langguth; Bing Gong; Scarlet Stadtler; Amirpasha Mozaffari; Gabriele Cavallaro; Rocco Sedona; et al. (ISC Workshops, 2021)

A High-Performance Multispectral Adaptation GAN for Harmonizing Dense Time Series of Landsat-8 and Sentinel-2 Images. - Rocco Sedona; Claudia Paris; Gabriele Cavallaro; Lorenzo Bruzzone; Morris Riedel (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Accelerating Hyperparameter Tuning of a Deep Learning Model for Remote Sensing Image Classification. - Marcel Aach; Rocco Sedona; Andreas Lintermann; Gabriele Cavallaro; Helmut Neukirchen; Morris Riedel (IGARSS, 2022)

An Automatic Approach for the Production of a Time Series of Consistent Land-Cover Maps Based on Long-Short Term Memory. - Rocco Sedona; Claudia Paris; Liang Tian; Morris Riedel; Gabriele Cavallaro (IGARSS, 2022)

Enhancing Training Set Through Multi-Temporal Attention Analysis in Transformers for Multi-Year Land Cover Mapping. - Rocco Sedona; Jan Ebert; Claudia Paris; Morris Riedel; Gabriele Cavallaro (IGARSS, 2023)

End-to-End Process Orchestration of Earth Observation Data Workflows with Apache Airflow on High Performance Computing. - Liang Tian; Rocco Sedona; Amirpasha Mozaffari; Enxhi Kreshpa; Claudia Paris; Morris Riedel; Martin G. Schultz; Gabriele Cavallaro (IGARSS, 2023)

Toward the Production of Spatiotemporally Consistent Annual Land Cover Maps Using Sentinel-2 Time Series. - Rocco Sedona; Claudia Paris; Jan Ebert; Morris Riedel; Gabriele Cavallaro (IEEE Geosci. Remote. Sens. Lett., 2023)

Enhancing Land Cover Mapping: A Novel Automatic Approach To Improve Mixed Spectral Pixel Classification. - Surbhi Sharma; Rocco Sedona; Morris Riedel; Gabriele Cavallaro; Claudia Paris (IGARSS, 2024)

Supporting Seismic Data Survey Design Through the Integration of Satellite-Based Land Cover Maps. - Liang Tian; Naveed Akram; Rocco Sedona; Nikos Savva; Morris Riedel; Gabriele Cavallaro; Eric Verschuur (IGARSS, 2024)

Vectorized Highly Parallel Density-Based Clustering for Applications With Noise. - Joseph Arnold Xavier; Juan Pedro Gutiérrez H. Muriedas; Stepan Nassyr; Rocco Sedona; Markus Götz; Achim Streit; Morris Riedel; Gabriele Cavallaro (IEEE Access, 2024)

Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications. - Daniela Szwarcman; Sujit Roy; Paolo Fraccaro; Þorsteinn Elí Gíslason; Benedikt Blumenstiel; Rinki Ghosal; Pedro Henrique de Oliveira; João Lucas de Sousa Almeida; Rocco Sedona; Yanghui Kang; Srija Chakraborty; Sizhe Wang; et al. (CoRR, 2024)

Sen4Map: Advancing Mapping With Sentinel-2 by Providing Detailed Semantic Descriptions and Customizable Land-Use and Land-Cover Data. - Surbhi Sharma; Rocco Sedona; Morris Riedel; Gabriele Cavallaro; Claudia Paris (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

TerraMesh: A Planetary Mosaic of Multimodal Earth Observation Data. - Benedikt Blumenstiel; Paolo Fraccaro; Valerio Marsocci; Johannes Jakubik; Stefano Maurogiovanni; Mikolaj Czerkawski; Rocco Sedona; Gabriele Cavallaro; Thomas Brunschwiler; Juan Bernabé-Moreno; Nicolas Longépé (CVPR Workshops, 2025)

Lossy Neural Compression for Geospatial Analytics: A Review. - Carlos Gomes; Isabelle Wittmann; Damien Robert 002; Johannes Jakubik; Tim Reichelt; Michele Martone; Stefano Maurogiovanni; Rikard Vinge; Jonas Hurst; Erik Scheurer; Rocco Sedona; Thomas Brunschwiler; et al. (CoRR, 2025)

TerraMind: Large-Scale Generative Multimodality for Earth Observation. - Johannes Jakubik; Felix Yang; Benedikt Blumenstiel; Erik Scheurer; Rocco Sedona; Stefano Maurogiovanni; Jente Bosmans; Nikolaos Dionelis; Valerio Marsocci; Niklas Kopp; Rahul Ramachandran; Paolo Fraccaro; et al. (CoRR, 2025)