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1

Digital Twin Learning Ecosystem: A cyber–physical framework..:

García, Álvaro ; Bregon, Anibal ; Martínez-Prieto, Miguel A.
Internet of Things. 25 (2024) - p. 101094 , 2024

Link: https://doi.org/10.1016/..

2

Multi-route aircraft trajectory prediction using Temporal F..:

Silvestre, Jorge ; Mielgo, Paula ; Bregon, Anibal..
IEEE Access. , 2024

Link: https://doi.org/10.1109/..

3

A deep learning-based approach for predicting in-flight est..:

Silvestre, Jorge ; Martínez-Prieto, Miguel A. ; Bregon, Anibal.
The Journal of Supercomputing. 80 (2024) 12 - p. 17212-17246 , 2024

Link: https://doi.org/10.1007/..

4

Towards aircraft trajectory prediction using LSTM networks:

, In: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing,

Silvestre, Jorge ; Mielgo, Paula ; Bregon, Anibal.. - p. 1059-1060 , 2024

Link: https://dl.acm.org/doi/1..

5

Reproducible experiments with Learned Metric Index Framewor:

Slanináková, Terézia ; Antol, Matej ; Ol'ha, Jaroslav...
Information Systems. 118 (2023) - p. 102255 , 2023

Link: https://doi.org/10.1016/..

6

Compact Encoding of Reified Triples Using HDTr:

, In: The Semantic Web – ISWC 2023; Lecture Notes in Computer Science,

Gimenez-Garcia, Jose M. ; Gautrais, Thomas ; Fernández, Javier D.. - p. 309-327 , 2023

Link: https://doi.org/10.1007/..

7

Compressed and queryable self-indexes for RDF archives:

Cerdeira-Pena, Ana ; de Bernardo, Guillermo ; Fariña, Antonio..
Knowledge and Information Systems. 66 (2023) 1 - p. 381-417 , 2023

Link: https://doi.org/10.1007/..

8

A non-intrusive Industry 4.0 retrofitting approach for coll..:

García, Álvaro ; Bregon, Anibal ; Martínez-Prieto, Miguel A.
Computers & Industrial Engineering. 164 (2022) - p. 107896 , 2022

Link: https://doi.org/10.1016/..

9

Towards a connected Digital Twin Learning Ecosystem in manu..:

García, Álvaro ; Bregon, Anibal ; Martínez-Prieto, Miguel A.
Computers & Industrial Engineering. 171 (2022) - p. 108463 , 2022

Link: https://doi.org/10.1016/..

10

RDF-TR: Exploiting structural redundancies to boost RDF com..:

Hernández-Illera, Antonio ; Martínez-Prieto, Miguel A. ; Fernández, Javier D.
Information Sciences. 508 (2020) - p. 234-259 , 2020

Link: https://doi.org/10.1016/..

11

cBiK: A Space-Efficient Data Structure for Spatial Keyword ..:

Sanjuan-Contreras, Carlos E. ; Retamal, Gilberto Gutierrez ; Martinez-Prieto, Miguel A..
IEEE Access. 8 (2020) - p. 98827-98846 , 2020

Link: https://doi.org/10.1109/..

12

On the reproducibility of experiments of indexing repetitiv..:

Fariña, Antonio ; Martínez-Prieto, Miguel A. ; Claude, Francisco...
Information Systems. 83 (2019) - p. 181-194 , 2019

Link: https://doi.org/10.1016/..

13

3DGraCT: A Grammar-Based Compressed Representation of 3D Tr..:

, In: String Processing and Information Retrieval; Lecture Notes in Computer Science,

Brisaboa, Nieves R. ; Gómez-Brandón, Adrián ; Martínez-Prieto, Miguel A.. - p. 102-116 , 2018

Link: https://doi.org/10.1007/..

14

A Compact Memory-based Index for Spatial Keyword Query Reso..:

, In: 2018 37th International Conference of the Chilean Computer Science Society (SCCC),

Carlos San, Juan C. ; Gutierrez, R. Gilberto ; Martinez-Prieto, Miguel A. - p. 1-8 , 2018

Link: https://doi.org/10.1109/..

15

Characterising RDF data sets:

Fernández, Javier D ; Martínez-Prieto, Miguel A ; de la Fuente Redondo, Pablo.
Journal of Information Science. 44 (2017) 2 - p. 203-229 , 2017

Link: https://doi.org/10.1177/..

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