Gabriele Cavallaro

Orcid: 0000-0002-3239-9904

Affiliations:
  • Jülich Supercomputing Centre, Germany


According to our database1, Gabriele Cavallaro authored at least 61 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Kernel Approximation on a Quantum Annealer for Remote Sensing Regression Tasks.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A Single-Step Multiclass SVM Based on Quantum Annealing for Remote Sensing Data Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Local Binary and Multiclass SVMs Trained on a Quantum Annealer.
CoRR, 2024

2023
Deep-Learning-Based 3-D Surface Reconstruction - A Survey.
Proc. IEEE, November, 2023

Toward the Production of Spatiotemporally Consistent Annual Land Cover Maps Using Sentinel-2 Time Series.
IEEE Geosci. Remote. Sens. Lett., 2023

End-to-End Process Orchestration of Earth Observation Data Workflows with Apache Airflow on High Performance Computing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Enhancing Training Set Through Multi-Temporal Attention Analysis in Transformers for Multi-Year Land Cover Mapping.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Adiabatic Quantum Kitchen Sinks with Parallel Annealing for Remote Sensing Regression Problems.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Predicting Classification Performance for Benchmark Hyperspectral Datasets.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Quantum SVR for Chlorophyll Concentration Estimation in Water With Remote Sensing.
IEEE Geosci. Remote. Sens. Lett., 2022

Remote Sensing Image Classification Using CNNs With Balanced Gradient for Distributed Heterogeneous Computing.
IEEE Geosci. Remote. Sens. Lett., 2022

Practice and Experience using High Performance Computing and Quantum Computing to Speed-up Data Science Methods in Scientific Applications.
Proceedings of the 45th Jubilee International Convention on Information, 2022

Improving Generalization for Few-Shot Remote Sensing Classification with Meta-Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

An Automatic Approach for the Production of a Time Series of Consistent Land-Cover Maps Based on Long-Short Term Memory.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Quantum Support Vector Regression for Biophysical Variable Estimation in Remote Sensing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Optimizing Distributed Deep Learning in Heterogeneous Computing Platforms for Remote Sensing Data Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Hybrid Quantum-Classical Workflows in Modular Supercomputing Architectures with the Julich Unified Infrastructure for Quantum Computing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Accelerating Hyperparameter Tuning of a Deep Learning Model for Remote Sensing Image Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
A High-Performance Multispectral Adaptation GAN for Harmonizing Dense Time Series of Landsat-8 and Sentinel-2 Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

JUWELS Booster - A Supercomputer for Large-Scale AI Research.
Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 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.
Proceedings of the 44th International Convention on Information, 2021

Practice and Experience in using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Enhancing Large Batch Size Training of Deep Models for Remote Sensing Applications.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Practice and Experience in Using Parallel and Scalable Machine Learning in Remote Sensing from HPC Over Cloud to Quantum Computing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Quantum Support Vector Machine Algorithms for Remote Sensing Data Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Super-Resolution of Large Volumes of Sentinel-2 Images with High Performance Distributed Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Scaling Up a Multispectral Resnet-50 to 128 GPUs.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Approaching Remote Sensing Image Classification with Ensembles of Support Vector Machines on the D-Wave Quantum Annealer.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Cloud Deep Networks for Hyperspectral Image Analysis.
IEEE Trans. Geosci. Remote. Sens., 2019

Remote Sensing Big Data Classification with High Performance Distributed Deep Learning.
Remote. Sens., 2019

Scalable Workflows for Remote Sensing Data Processing with the Deep-Est Modular Supercomputing Architecture.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Multi-Scale Convolutional SVM Networks for Multi-Class Classification Problems of Remote Sensing Images.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Parallel Computation of Component Trees on Distributed Memory Machines.
IEEE Trans. Parallel Distributed Syst., 2018

Modular supercomputing design supporting machine learning applications.
Proceedings of the 41st International Convention on Information and Communication Technology, 2018

Automated Analysis of Remotely Sensed Images Using the Unicore Workflow Management System.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

The Influence of Sampling Methods on Pixel-Wise Hyperspectral Image Classification with 3D Convolutional Neural Networks.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Scaling Support Vector Machines Towards Exascale Computing for Classification of Large-Scale High-Resolution Remote Sensing Images.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Automatic Attribute Profiles.
IEEE Trans. Image Process., 2017

Integration of LiDAR and Hyperspectral Data for Land-cover Classification: A Case Study.
CoRR, 2017

Facilitating efficient data analysis of remotely sensed images using standards-based parameter sweep models.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Tree-based supervised feature extraction method based on self-dual attribute profiles.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Remote Sensing Image Classification Using Attribute Filters Defined Over the Tree of Shapes.
IEEE Trans. Geosci. Remote. Sens., 2016

Unsupervised change detection analysis to multi-channel scenario based on morphological contextual analysis.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Region-based classification of remote sensing images with the morphological tree of shapes.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Analyzing Remote Sensing Images with Hierarchial Morphological Representations.
Proceedings of the Handbook of Pattern Recognition and Computer Vision, 5th Ed., 2016

2015
On Understanding Big Data Impacts in Remotely Sensed Image Classification Using Support Vector Machine Methods.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Extended Self-Dual Attribute Profiles for the Classification of Hyperspectral Images.
IEEE Geosci. Remote. Sens. Lett., 2015

Processing high resolution images of urban areas with self-dual attribute filters.
Proceedings of the Joint Urban Remote Sensing Event, 2015

Automatic Threshold Selection for Profiles of Attribute Filters Based on Granulometric Characteristic Functions.
Proceedings of the Mathematical Morphology and Its Applications to Signal and Image Processing, 2015

An advanced classifier for the joint use of LiDAR and hyperspectral data: Case study in Queensland, Australia.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Scalable developments for big data analytics in remote sensing.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Automatic morphological attribute profiles.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

On Scalable Data Mining Techniques for Earth Science.
Proceedings of the International Conference on Computational Science, 2015

2014
Automatic Framework for Spectral-Spatial Classification Based on Supervised Feature Extraction and Morphological Attribute Profiles.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Smart data analytics methods for remote sensing applications.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

A comparison of self-dual attribute profiles based on different filter rules for classification.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
MetalPDB: a database of metal sites in biological macromolecular structures.
Nucleic Acids Res., 2013

MetalS<sup>2</sup>: A Tool for the Structural Alignment of Minimal Functional Sites in Metal-Binding Proteins and Nucleic Acids.
J. Chem. Inf. Model., 2013

2012
FindGeo: a tool for determining metal coordination geometry.
Bioinform., 2012

2011
A Simple Protocol for the Comparative Analysis of the Structure and Occurrence of Biochemical Pathways Across Superkingdoms.
J. Chem. Inf. Model., 2011

2009
Metal-MACiE: a database of metals involved in biological catalysis.
Bioinform., 2009


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