E-LIB Suche - Ergebnisse für: Charte, David

1

Reducing Data Complexity using Autoencoders with Class-info..:

Charte, David ; Charte, Francisco ; Herrera, Francisco
http://arxiv.org/abs/2111.06142. , 2021

Link: http://arxiv.org/abs/211..

2

Revisiting Data Complexity Metrics Based on Morphology for ..:

Pascual-Triana, José Daniel ; Charte, David ; Arroyo, Marta Andrés..
http://arxiv.org/abs/2007.07935. , 2020

Link: http://arxiv.org/abs/200..

3

An analysis on the use of autoencoders for representation l..:

Charte, David ; Charte, Francisco ; del Jesus, María J.
http://arxiv.org/abs/2005.10516. , 2020

Link: http://arxiv.org/abs/200..

4

COVIDGR Dataset and COVID-SDNet Methodology for Predicting ..:

Tabik, Siham ; Gómez-Ríos, Anabel ; Martín-Rodríguez, José Luis...
https://doi.org/10.1109/JBHI.2020.3037127. , 2020

Link: http://hdl.handle.net/10..

5

A Showcase of the Use of Autoencoders in Feature Learning A..:

Charte, David ; Charte, Francisco ; del Jesus, María J.
http://arxiv.org/abs/2005.04321. , 2020

Link: http://arxiv.org/abs/200..

6

A snapshot on nonstandard supervised learning problems: tax..:

Charte, David ; Charte, Francisco ; García, Salvador.
http://arxiv.org/abs/1811.12044. , 2018

Link: http://arxiv.org/abs/181..

7

Tips, guidelines and tools for managing multi-label dataset..:

Charte, Francisco ; Rivera, Antonio J ; Charte, David..
http://arxiv.org/abs/1802.03568. , 2018

Link: http://arxiv.org/abs/180..

8

A practical tutorial on autoencoders for nonlinear feature ..:

Charte, David ; Charte, Francisco ; García, Salvador..
http://arxiv.org/abs/1801.01586. , 2018

Link: http://arxiv.org/abs/180..

9

Mejoras en tratamiento de problemas de clasificación con mo..:

Charte Luque, Francisco David
Charte Luque, Francisco David. Mejoras en tratamiento de problemas de clasificación con modelos basados en autoencoders. Granada: Universidad de Granada, 2022. [http://hdl.handle.net/10481/75933]. , 2022

Link: http://hdl.handle.net/10..

10

A tutorial on the segmentation of metallographic images: Ta..:

Luengo Martín, Julián ; Sevillano García, Iván ; Charte Luque, Francisco David...
Julián Luengo. [et al.]. A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges, Information Fusion, Volume 78, 2022, Pages 232-253, ISSN 1566-2535, [https://doi.org/10.1016/j.inffus.2021.09.018]. , 2021

Link: http://hdl.handle.net/10..

11

Arti cial intelligence within the interplay between natural..:

Gorriz Sáez, Juan Manuel ; Ramírez Pérez De Inestrosa, Javier ; Segovia Román, Fermín..
Górriz, JM. [et al.]. 2020, 'Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications', Neurocomputing, vol. 410, pp. 237-270. [https://doi.org/10.1016/j.neucom.2020.05.078]. , 2020

Link: https://hdl.handle.net/1..

12

Nuevas arquitecturas hardware de procesamiento de alto rend..:

Rivera, Antonio J ; Charte Luque, Francisco David ; Espinilla, Macarena.
http://hdl.handle.net/10481/53299. , 2018

Link: http://hdl.handle.net/10..

13

PARDINUS: Weakly supervised discarding of photo-trapping em..:

de la Rosa, David ; Rivera, Antonio J ; del Jesus, María J.
http://arxiv.org/abs/2312.14812. , 2023

Link: http://arxiv.org/abs/231..

14

mldr.resampling: Efficient Reference Implementations of Mul..:

Rivera, Antonio J ; Dávila, Miguel A ; Elizondo, David..
http://arxiv.org/abs/2305.17152. , 2023

Link: http://arxiv.org/abs/230..

15

Plant nurse effects rely on combined hydrological and ecolo..:

Pueyo, Yolanda ; Moret-Fernández, David ; Arroyo, Antonio...
info:eu-repo/semantics/altIdentifier/doi/10.1002/ecs2.1514. , 2016

Link: https://hal.umontpellier..