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Gabriele Cavallaro - Assistant Professor

Gabriele Cavallaro

–

School of Engineering and Natural Sciences

Gabriele CavallaroHann/Hans

Assistant Professor

Location
VR-2
Phone
525 - 4694
Email
gcavallaro [at] hi.is

Unit
Faculty of Electrical and Computer Engineering

Published works

2024

High Performance and Disruptive Computing in Remote SensingIEEE Geoscience and Remote Sensing Magazine
A Hybrid Quantum-Classical CNN Architecture for Semantic Segmentation of Radar Sounder Data
Sen4MapIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Local Binary and Multiclass SVMs Trained on a Quantum AnnealerIEEE Transactions on Quantum Engineering
Enhancing Land Cover Mapping
Reverse Quantum Annealing for Hybrid Quantum-Classical Satellite Mission Planning

2023

A Summer School Session on Mastering Geospatial Artificial IntelligenceIEEE Geoscience and Remote Sensing Magazine
Accuracy assessment of land-use-land-cover maps
Enhancing Distributed Neural Network Training Through Node-Based CommunicationsIEEE Transactions on Neural Networks and Learning Systems
FOREWORDGeoSearch 2023 - Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data
Deep-Learning-Based 3-D Surface Reconstruction-A SurveyProceedings of the IEEE

2022

Optimizing Distributed Deep Learning in Heterogeneous Computing Platforms for Remote Sensing Data Classification
Learning from Data for Remote Sensing Image AnalysisInternational Journal of Remote Sensing
High-Performance and Disruptive Computing in Remote SensingIEEE Geoscience and Remote Sensing Magazine
Remote Sensing Image Classification Using CNNs With Balanced Gradient for Distributed Heterogeneous ComputingIEEE Geoscience and Remote Sensing Letters

2021

FOREWORDProceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2021

2020

Super-Resolution of Large Volumes of Sentinel-2 Images with High Performance Distributed Deep Learning

Keywords for Specialisation:

Image Processing

Machine Learning

Distributed computing

High Performance Computing