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Stevenson, Emma; Rodríguez-Fernández, Víctor; Urrutxua, Hodei; Camacho, David

Benchmarking deep learning approaches for all-vs-all conjunction screening Journal Article

In: Advances in Space Research, 2023.

Abstract | Links | BibTeX | Tags: Conjunction Assessment, Deep Learning, Filtering, Machine Learning, Orbits, Space, Space Debris, Space Environment Management, Space Situational Awareness, Space Traffic Management, Time Series


Stevenson, Emma; Martinez, Riansares; Rodriguez-Fernandez, Victor; Camacho, David

Predicting the effects of kinetic impactors on asteroid deflection using end-to-end deep learning Inproceedings

In: 2022 IEEE Congress on Evolutionary Computation (CEC), pp. 1-8, Padua, Italy, 2022.

Abstract | Links | BibTeX | Tags: Asteroid Deflection, Deep Learning, Planetary Defence, Self-supervised Learning, Time Series, Transformers

Stevenson, Emma; Rodriguez-Fernandez, Victor; Minisci, Edmondo; Camacho, David

A deep learning approach to solar radio flux forecasting Journal Article

In: Acta Astronautica, vol. 193, pp. 595-606, 2022, ISSN: 0094-5765.

Abstract | Links | BibTeX | Tags: Deep Learning, Ensemble, Solar Radio Flux, Space, Time Series


Rodríguez-Fernández, Víctor; Menéndez, Héctor D; Camacho, David

Analysing temporal performance profiles of UAV operators using time series clustering Journal Article

In: Expert Systems with Applications, vol. 70, pp. 103–118, 2017, ISSN: 0957-4174.

Links | BibTeX | Tags: Clustering, Operator, Performance Metrics, Simulation-based Training, Time Series, Unmanned Aircraft Systems


Menéndez, Héctor D; Vindel, Rafael; Camacho, David

Combining time series and clustering to extract gamer profile evolution Incollection

In: Computational Collective Intelligence. Technologies and Applications, pp. 262–271, Springer International Publishing, 2014.

BibTeX | Tags: Clustering, Prediction, Sports, Time Series