E-LIB Suche - Ergebnisse für: Paramá, José R.

1

Stronger compact representations of object trajectories:

Gómez-Brandón, Adrián ; Navarro, Gonzalo ; Paramá, José R...
Geo-spatial Information Science. , 2024

Link: https://doi.org/10.1080/..

2

Compacting Massive Public Transport Data:

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

Letelier, Benjamín ; Brisaboa, Nieves R. ; Gutiérrez-Asorey, Pablo.. - p. 310-322 , 2023

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

3

ViQUF: De Novo Viral Quasispecies Reconstruction Using Unit..:

Freire, Borja ; Ladra, Susana ; Paramá, José R..
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20 (2023) 2 - p. 1550-1562 , 2023

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

4

Map algebra on raster datasets represented by compact data ..:

Silva‐Coira, Fernando ; Paramá, José R. ; Ladra, Susana
Software: Practice and Experience. 53 (2023) 6 - p. 1362-1390 , 2023

Link: https://doi.org/10.1002/..

5

Compact and indexed representation for LiDAR point clouds:

Ladra, Susana ; R. Luaces, Miguel ; Paramá, José R..
Geo-spatial Information Science. , 2022

Link: https://doi.org/10.1080/..

6

A New Tool Based on GIS Technology for Massive Public Trans..:

, In: Advances in Model and Data Engineering in the Digitalization Era; Communications in Computer and Information Science,

Brisaboa, Nieves R. ; de Bernardo, Guillermo ; Gutiérrez-Asorey, Pablo... - p. 121-135 , 2022

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

7

Memory-Efficient Assembly Using Flye:

Freire, Borja ; Ladra, Susana ; Paramá, José R.
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19 (2022) 6 - p. 3564-3577 , 2022

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

8

Space-efficient representations of raster time series:

Silva-Coira, Fernando ; Paramá, José R. ; de Bernardo, Guillermo.
Information Sciences. 566 (2021) - p. 300-325 , 2021

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

9

Lossless compression of industrial time series with direct ..:

Gómez-Brandón, Adrián ; Paramá, José R. ; Villalobos, Kevin..
Computers in Industry. 132 (2021) - p. 103503 , 2021

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

10

An index for moving objects with constant-time access to th..:

Brisaboa, Nieves R. ; Gagie, Travis ; Gómez-Brandón, Adrián..
International Journal of Geographical Information Science. 35 (2020) 7 - p. 1392-1424 , 2020

Link: https://doi.org/10.1080/..

11

Efficient processing of raster and vector data:

Silva-Coira, Fernando ; Paramá, José R. ; Ladra, Susana...
PLOS ONE. 15 (2020) 1 - p. e0226943 , 2020

Link: https://doi.org/10.1371/..

12

Space- and Time-Efficient Storage of LiDAR Point Clouds:

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

Ladra, Susana ; Luaces, Miguel R. ; Paramá, José R.. - p. 513-527 , 2019

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

13

GraCT: A Grammar-based Compressed Index for Trajectory Data:

Brisaboa, Nieves R. ; Gómez-Brandón, Adrián ; Navarro, Gonzalo.
Information Sciences. 483 (2019) - p. 106-135 , 2019

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

14

Scalable and queryable compressed storage structure for ras..:

Ladra, Susana ; Paramá, José R. ; Silva-Coira, Fernando
Information Systems. 72 (2017) - p. 179-204 , 2017

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

15

Efficiently Querying Vector and Raster Data:

Brisaboa, Nieves R. ; Bernardo, Guillermo de ; Gutiérrez, Gilberto..
The Computer Journal. 60 (2017) 9 - p. 1395-1413 , 2017

Link: https://doi.org/10.1093/..