Francisco Charte

About Francisco Charte

Francisco Charte, With an exceptional h-index of 25 and a recent h-index of 21 (since 2020), a distinguished researcher at Universidad de Jaén, specializes in the field of Multi-label learning, Representation learning, Self-supervised learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

DESReg: Dynamic Ensemble Selection library for Regression tasks

Plan de Gestión de Datos-EPPIA

PARDINUS: Weakly supervised discarding of photo-trapping empty images based on autoencoders

mldr. resampling: Efficient Reference Implementations of Multilabel Resampling Algorithms

Analysis of Transformer Model Applications

NOSpcimen: A First Approach to Unsupervised Discarding of Empty Photo Trap Images

XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department

Motor de emulación del procesador DLX con fines didácticos

Francisco Charte Information

University

Position

Assistant Professor at Computer Science Dept.

Citations(all)

2823

Citations(since 2020)

2079

Cited By

1498

hIndex(all)

25

hIndex(since 2020)

21

i10Index(all)

42

i10Index(since 2020)

34

Email

University Profile Page

Google Scholar

Francisco Charte Skills & Research Interests

Multi-label learning

Representation learning

Self-supervised learning

Top articles of Francisco Charte

DESReg: Dynamic Ensemble Selection library for Regression tasks

Neurocomputing

2024/5/1

Plan de Gestión de Datos-EPPIA

2024

PARDINUS: Weakly supervised discarding of photo-trapping empty images based on autoencoders

arXiv preprint arXiv:2312.14812

2023/12/22

Francisco Charte
Francisco Charte

H-Index: 16

mldr. resampling: Efficient Reference Implementations of Multilabel Resampling Algorithms

Neurocomputing

2023/11

Francisco Charte
Francisco Charte

H-Index: 16

Analysis of Transformer Model Applications

2023/8/29

NOSpcimen: A First Approach to Unsupervised Discarding of Empty Photo Trap Images

2023/6/19

Francisco Charte
Francisco Charte

H-Index: 16

XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department

Artificial Intelligence in Medicine

2023/3/1

Motor de emulación del procesador DLX con fines didácticos

2022/12/1

Reducing Data Complexity using Autoencoders with Class-informed Loss Functions

IEEE Transactions in Pattern Analysis and Machine Intelligence

2022/12

Entrenador didáctico de la pila de protocolos TCP/IP

2022/9/5

Desarrollo de interfaz web para un simulador de procesador DLX

2022/7/3

Low-cost IoT gas concentrator system prototype (ponencia)

Technologies Applied to Electronics Teaching Conference, Teruel, Spain.

2022/7/1

Francisco Charte
Francisco Charte

H-Index: 16

Procesamiento de imágenes de foto-trampeo con técnicas de aprendizaje profundo para el descarte automático de imágenes vacías

2022/7/1

Identificación de tumores de mama a partir de análisis de imágenes con técnicas de aprendizaje profundo.

2022/6/30

Low-cost IoT gas concentrator system prototype

2022/6/29

Strategies for time series forecasting with generalized regression neural networks

Neurocomputing

2022/6/28

Francisco Martínez
Francisco Martínez

H-Index: 7

Francisco Charte
Francisco Charte

H-Index: 16

Mejoras en tratamiento de problemas de clasificación con modelos basados en autoencoders

2022

SCHEMATIZE: App para el reconocimiento óptico de diagramas mentales dibujados a mano

2021/7/2

ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders

Information Sciences

2021/7

Francisco Charte
Francisco Charte

H-Index: 16

Predicción del consumo eléctrico a partir de datos históricos y variables exógenas

2021/6/29

See List of Professors in Francisco Charte University(Universidad de Jaén)

Co-Authors

academic-engine