Metal-MACiE: a database of metals involved in biological catalysis. - Claudia Andreini; Ivano Bertini; Gabriele Cavallaro; Gemma L. Holliday; Janet M. Thornton (Bioinform., 2009)

A Simple Protocol for the Comparative Analysis of the Structure and Occurrence of Biochemical Pathways Across Superkingdoms. - Claudia Andreini; Ivano Bertini; Gabriele Cavallaro; Leonardo Decaria; Antonio Rosato (J. Chem. Inf. Model., 2011)

FindGeo: a tool for determining metal coordination geometry. - Claudia Andreini; Gabriele Cavallaro; Serena Lorenzini (Bioinform., 2012)

MetalS2: A Tool for the Structural Alignment of Minimal Functional Sites in Metal-Binding Proteins and Nucleic Acids. - Claudia Andreini; Gabriele Cavallaro; Antonio Rosato; Yana Valasatava (J. Chem. Inf. Model., 2013)

MetalPDB: a database of metal sites in biological macromolecular structures. - Claudia Andreini; Gabriele Cavallaro; Serena Lorenzini; Antonio Rosato (Nucleic Acids Res., 2013)

A comparison of self-dual attribute profiles based on different filter rules for classification. - Gabriele Cavallaro; Mauro Dalla Mura; Jón Atli Benediktsson; Lorenzo Bruzzone (IGARSS, 2014)

Smart data analytics methods for remote sensing applications. - Gabriele Cavallaro; Morris Riedel; Jón Atli Benediktsson; Markus Götz; Tomas Runarsson; Kristjan Jonasson; Thomas Lippert (IGARSS, 2014)

Automatic Framework for Spectral-Spatial Classification Based on Supervised Feature Extraction and Morphological Attribute Profiles. - Pedram Ghamisi; Jón Atli Benediktsson; Gabriele Cavallaro; Antonio Plaza (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

On Scalable Data Mining Techniques for Earth Science. - Markus Götz; Matthias Richerzhagen; Christian Bodenstein; Gabriele Cavallaro; Philipp Glock; Morris Riedel; Jón Atli Benediktsson (ICCS, 2015)

Automatic morphological attribute profiles. - Gabriele Cavallaro; Mauro Dalla Mura; Nicola Falco; Jón Atli Benediktsson (IGARSS, 2015)

Scalable developments for big data analytics in remote sensing. - Gabriele Cavallaro; Morris Riedel; Christian Bodenstein; Philipp Glock; Matthias Richerzhagen; Markus Götz; Jón Atli Benediktsson (IGARSS, 2015)

An advanced classifier for the joint use of LiDAR and hyperspectral data: Case study in Queensland, Australia. - Pedram Ghamisi; Dan Wu; Gabriele Cavallaro; Jón Atli Benediktsson; Stuart R. Phinn; Nicola Falco (IGARSS, 2015)

Automatic Threshold Selection for Profiles of Attribute Filters Based on Granulometric Characteristic Functions. - Gabriele Cavallaro; Nicola Falco; Mauro Dalla Mura; Lorenzo Bruzzone; Jón Atli Benediktsson (ISMM, 2015)

Processing high resolution images of urban areas with self-dual attribute filters. - Gabriele Cavallaro; Mauro Dalla Mura; Jón Atli Benediktsson (JURSE, 2015)

Extended Self-Dual Attribute Profiles for the Classification of Hyperspectral Images. - Gabriele Cavallaro; Mauro Dalla Mura; Jón Atli Benediktsson; Lorenzo Bruzzone (IEEE Geosci. Remote. Sens. Lett., 2015)

On Understanding Big Data Impacts in Remotely Sensed Image Classification Using Support Vector Machine Methods. - Gabriele Cavallaro; Morris Riedel; Matthias Richerzhagen; Jón Atli Benediktsson; Antonio Plaza (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Analyzing Remote Sensing Images with Hierarchial Morphological Representations. - Gabriele Cavallaro; Mauro Dalla Mura; Jón Atli Benediktsson (Handbook of Pattern Recognition and Computer Vision, 2016)

Region-based classification of remote sensing images with the morphological tree of shapes. - Gabriele Cavallaro; Mauro Dalla Mura; Edwin Carlinet; Thierry Géraud; Nicola Falco; Jón Atli Benediktsson (IGARSS, 2016)

Unsupervised change detection analysis to multi-channel scenario based on morphological contextual analysis. - Nicola Falco; Gabriele Cavallaro; Prashanth Reddy Marpu; Jón Atli Benediktsson (IGARSS, 2016)

Remote Sensing Image Classification Using Attribute Filters Defined Over the Tree of Shapes. - Gabriele Cavallaro; Mauro Dalla Mura; Jón Atli Benediktsson; Antonio J. Plaza (IEEE Trans. Geosci. Remote. Sens., 2016)

Tree-based supervised feature extraction method based on self-dual attribute profiles. - Gabriele Cavallaro; Mauro Dalla Mura; Morris Riedel; Jón Atli Benediktsson (IGARSS, 2017)

Facilitating efficient data analysis of remotely sensed images using standards-based parameter sweep models. - M. Shahbaz Memon; Gabriele Cavallaro; Morris Riedel; Helmut Neukirchen (IGARSS, 2017)

Integration of LiDAR and Hyperspectral Data for Land-cover Classification: A Case Study. - Pedram Ghamisi; Gabriele Cavallaro; Dan Wu; Jón Atli Benediktsson; Antonio Plaza (CoRR, 2017)

Automatic Attribute Profiles. - Gabriele Cavallaro; Nicola Falco; Mauro Dalla Mura; Jón Atli Benediktsson (IEEE Trans. Image Process., 2017)

Scaling Support Vector Machines Towards Exascale Computing for Classification of Large-Scale High-Resolution Remote Sensing Images. - Ernir Erlingsson; Gabriele Cavallaro; Morris Riedel; Helmut Neukirchen (IGARSS, 2018)

The Influence of Sampling Methods on Pixel-Wise Hyperspectral Image Classification with 3D Convolutional Neural Networks. - Julius Lange; Gabriele Cavallaro; Markus Götz; Ernir Erlingsson; Morris Riedel (IGARSS, 2018)

Automated Analysis of Remotely Sensed Images Using the Unicore Workflow Management System. - M. Shahbaz Memon; Gabriele Cavallaro; Björn Hagemeier; Morris Riedel; Helmut Neukirchen (IGARSS, 2018)

Modular supercomputing design supporting machine learning applications. - Ernir Erlingsson; Gabriele Cavallaro; Andreas Galonska; Morris Riedel; Helmut Neukirchen (MIPRO, 2018)

Parallel Computation of Component Trees on Distributed Memory Machines. - Markus Götz; Gabriele Cavallaro; Thierry Géraud; Matthias Book; Morris Riedel (IEEE Trans. Parallel Distributed Syst., 2018)

Multi-Scale Convolutional SVM Networks for Multi-Class Classification Problems of Remote Sensing Images. - Gabriele Cavallaro; Yakoub Bazi; Farid Melgani; Morris Riedel (IGARSS, 2019)

Scalable Workflows for Remote Sensing Data Processing with the Deep-Est Modular Supercomputing Architecture. - Ernir Erlingsson; Gabriele Cavallaro; Helmut Neukirchen; Morris Riedel (IGARSS, 2019)

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)

Cloud Deep Networks for Hyperspectral Image Analysis. - Juan Mario Haut; José Antonio Gallardo Jaramago; Mercedes Eugenia Paoletti; Gabriele Cavallaro; Javier Plaza; Antonio Plaza; Morris Riedel (IEEE Trans. Geosci. Remote. Sens., 2019)

Approaching Remote Sensing Image Classification with Ensembles of Support Vector Machines on the D-Wave Quantum Annealer. - Gabriele Cavallaro; Dennis Willsch; Madita Willsch; Kristel Michielsen; Morris Riedel (IGARSS, 2020)

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

Super-Resolution of Large Volumes of Sentinel-2 Images with High Performance Distributed Deep Learning. - Run Zhang; Gabriele Cavallaro; Jenia Jitsev (IGARSS, 2020)

Quantum Support Vector Machine Algorithms for Remote Sensing Data Classification. - Amer Delilbasic; Gabriele Cavallaro; Madita Willsch; Farid Melgani; Morris Riedel; Kristel Michielsen (IGARSS, 2021)

Practice and Experience in Using Parallel and Scalable Machine Learning in Remote Sensing from HPC Over Cloud to Quantum Computing. - Morris Riedel; Gabriele Cavallaro; Jón Atli Benediktsson (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)

Hybrid Quantum-Classical Workflows in Modular Supercomputing Architectures with the Julich Unified Infrastructure for Quantum Computing. - Gabriele Cavallaro; Morris Riedel; Thomas Lippert; Kristel Michielsen (IGARSS, 2022)

Optimizing Distributed Deep Learning in Heterogeneous Computing Platforms for Remote Sensing Data Classification. - Sergio Moreno-Álvarez; Mercedes Eugenia Paoletti; Juan A. Rico-Gallego; Gabriele Cavallaro; Juan Mario Haut (IGARSS, 2022)

Quantum Support Vector Regression for Biophysical Variable Estimation in Remote Sensing. - Edoardo Pasetto; Amer Delilbasic; Gabriele Cavallaro; Madita Willsch; Farid Melgani; Morris Riedel; Kristel Michielsen (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)

Improving Generalization for Few-Shot Remote Sensing Classification with Meta-Learning. - Surbhi Sharma; Ribana Roscher; Morris Riedel; M. Shahbaz Memon; Gabriele Cavallaro (IGARSS, 2022)

Practice and Experience using High Performance Computing and Quantum Computing to Speed-up Data Science Methods in Scientific Applications. - Morris Riedel; Matthias Book; Helmut Neukirchen; Gabriele Cavallaro; Andreas Lintermann (MIPRO, 2022)

Remote Sensing Image Classification Using CNNs With Balanced Gradient for Distributed Heterogeneous Computing. - Sergio Moreno-Álvarez; Mercedes Eugenia Paoletti; Gabriele Cavallaro; Juan A. Rico-Gallego; Juan Mario Haut (IEEE Geosci. Remote. Sens. Lett., 2022)

Quantum SVR for Chlorophyll Concentration Estimation in Water With Remote Sensing. - Edoardo Pasetto; Morris Riedel; Farid Melgani; Kristel Michielsen; Gabriele Cavallaro (IEEE Geosci. Remote. Sens. Lett., 2022)

Predicting Classification Performance for Benchmark Hyperspectral Datasets. - Bin Zhao; Haukur Isfeld Ragnarsson; Magnus O. Ulfarsson; Gabriele Cavallaro; Jón Atli Benediktsson (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Adiabatic Quantum Kitchen Sinks with Parallel Annealing for Remote Sensing Regression Problems. - Edoardo Pasetto; Morris Riedel; Kristel Michielsen; Gabriele Cavallaro (IGARSS, 2023)

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)

Deep-Learning-Based 3-D Surface Reconstruction - A Survey. - Anis Farshian; Markus Götz; Gabriele Cavallaro; Charlotte Debus; Matthias Nießner; Jón Atli Benediktsson; Achim Streit (Proc. IEEE, 2023)

Reverse Quantum Annealing for Hybrid Quantum-Classical Satellite Mission Planning. - Amer Delilbasic; Bertrand Le Saux; Morris Riedel; Kristel Michielsen; Gabriele Cavallaro (IGARSS, 2024)

A CNN Architecture Tailored For Quantum Feature Map-Based Radar Sounder Signal Segmentation. - Raktim Ghosh; Amer Delilbasic; Gabriele Cavallaro; Francesca Bovolo (IGARSS, 2024)

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)

Local Binary and Multiclass SVMs Trained on a Quantum Annealer. - Enrico Zardini; Amer Delilbasic; Enrico Blanzieri; Gabriele Cavallaro; Davide Pastorello (CoRR, 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)

A Single-Step Multiclass SVM Based on Quantum Annealing for Remote Sensing Data Classification. - Amer Delilbasic; Bertrand Le Saux; Morris Riedel; Kristel Michielsen; Gabriele Cavallaro (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Kernel Approximation on a Quantum Annealer for Remote Sensing Regression Tasks. - Edoardo Pasetto; Morris Riedel; Kristel Michielsen; Gabriele Cavallaro (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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)

Enhancing Distributed Neural Network Training Through Node-Based Communications. - Sergio Moreno-Álvarez; Mercedes Eugenia Paoletti; Gabriele Cavallaro; Juan Mario Haut (IEEE Trans. Neural Networks Learn. Syst., 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)