Deep Learning

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Description

Contributions in deep learning

Research members

Related Publications

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

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

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

Exploring Dimensionality Reduction Techniques in Multilingual Transformers Miscellaneous

CoRR, 2022.

Abstract | Links | BibTeX

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

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

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

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

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

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