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2022

Huertas-Tato, Javier; Martín, Alejandro; Camacho, David

SILT: Efficient transformer training for inter-lingual inference Journal Article

In: Expert Systems with Applications, vol. 200, pp. 116923, 2022, ISSN: 0957-4174.

Abstract | Links | BibTeX | Tags: Deep Learning, Disinformation, Embeddings, Natural language inference, Natural Language Processing, Sentence alignment, Transformers

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; Urrutxua, Hodei; Camacho, David

Deep learning for all-vs-all conjunction detection Inproceedings

In: 5th Workshop on Key Topics in Orbit Propagation Applied to Space Situational Awareness (KePASSA), Logroño, Spain, 2022.

Abstract | BibTeX | Tags: Conjunction Assessment, Deep Learning, Self-supervised Learning, Space Debris, Space Situational Awareness

Huertas-García, Álvaro; Martín, Alejandro; Huertas-Tato, Javier; Camacho, David

Exploring Dimensionality Reduction Techniques in Multilingual Transformers Miscellaneous

CoRR, 2022.

Abstract | Links | BibTeX | Tags: Artificial Intelligence, Computational Intelligence, Deep Learning, Embeddings, Feature Selection, Machine Learning, Natural Language Processing, Sentence alignment, Text Analysis, 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

2021

Huertas-García, Álvaro; Huertas-Tato, Javier; Martín, Alejandro; Camacho, David

CIVIC-UPM at CheckThat! 2021: Integration of Transformers in Misinformation Detection and Topic Classification Inproceedings

In: Conference and Labs of the Evaluation Forum (CLEF) Working Notes, pp. 520–530, 2021.

Abstract | Links | BibTeX | Tags: Computational Intelligence, Deep Learning, Disinformation, Information Distortion, Machine Learning, Natural Language Processing, Social Networks, Text Analysis, Transformers

2020

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

A deep learning approach to space weather proxy forecasting for orbital prediction Inproceedings

In: 71st International Astronautical Congress (IAC), The CyberSpace Edition, 2020.

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

2019

Hernández, Alfonso; Panizo-LLedot, Ángel; Camacho, David

An ensemble algorithm based on deep learning for tuberculosis classification Inproceedings

In: International conference on intelligent data engineering and automated learning, pp. 145–154, Springer 2019.

Links | BibTeX | Tags: Convolutional Neural Networks, Deep Learning, Ensemble, Health, Image Classification

2017

Martín, Alejandro; Fuentes-Hurtado, Félix; Naranjo, Valery; Camacho, David

Evolving deep neural networks architectures for Android malware classification Inproceedings

In: Evolutionary Computation (CEC), 2017 IEEE Congress on, pp. 1659–1666, IEEE 2017.

BibTeX | Tags: Deep Learning, Malware Detection, Neural Networks

Martín, Alejandro; Lara-Cabrera, Raúl; Fuentes-Hurtado, Félix; Naranjo, Valery; Camacho, David

EvoDeep: a new Evolutionary approach for automatic Deep Neural Networks parametrisation Journal Article

In: Journal of Parallel and Distributed Computing, 2017.

BibTeX | Tags: Deep Learning, Evolutionary Computation