Alberto Candela

Orcid: 0000-0002-5510-7935

According to our database1, Alberto Candela authored at least 13 papers between 2017 and 2023.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications.
J. Aerosp. Inf. Syst., 2023

Dynamic Targeting to Improve Earth Science Missions.
J. Aerosp. Inf. Syst., 2023

Multi-Objective Ergodic Search for Dynamic Information Maps.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
An Approach to Science and Risk-Aware Planetary Rover Exploration.
IEEE Robotics Autom. Lett., 2022

Spectral Unmixing And Mapping Of Coral Reef Benthic Cover With Deep Learning.
Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022

Dynamic Targeting for Improved Tracking of Storm Features.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Bayesian Models for Science-Driven Robotic Exploration.
PhD thesis, 2021

2020
Planetary Rover Exploration Combining Remote and In Situ Measurements for Active Spectroscopic Mapping.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Probabilistic Super Resolution for Mineral Spectroscopy.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Non-myopic Planetary Exploration Combining In Situ and Remote Measurements.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

A Study of Unsupervised Classification Techniques for Hyperspectral Datasets.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2017
Science-aware exploration using entropy-based planning.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Planetary robotic exploration driven by science hypotheses for geologic mapping.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017


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