Manuel Fernández Delgado

Has grant

Profesor titular de universidad

Universidade de Santiago de Compostela

Spain

Research Interests

Explore related searches

Professors in Spain Professors in Statistics Statistics professors in Spain

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Manuel Fernández Delgado es Profesor Titular de Universidad en la Universidade de Santiago de Compostela, España. Su investigación abarca áreas como la detección celular en imágenes biomédicas, el impacto de la educación STEM en la participación femenina, y la aplicación de aprendizaje automático y profundo en diversas áreas, incluyendo la agronomía y el diagnóstico médico. Entre sus artículos recientes se encuentran investigaciones sobre el uso de segmentación no supervisada y algoritmos de aprendizaje para la predicción de deficiencias nutricionales y la clasificación de imágenes microscópicas.

Recent Grants

Grant: Close

SoftLearn: Soft computing para minería de procesos en e-learning

Open Date: 2012-01-01

Close Date: 2014-12-31

Grant: Close

Entorno de Control Inteligente y Distribuido para el despliegue fácil y rápido de robots en entornos desconocidos

Open Date: 2010-01-01

Close Date: 2013-01-01

Articles (16)

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

View details

Sara Cruz

Professora Auxiliar

Universidade do Porto Faculdade de Psicologia e de Ciências da Educação

PORTUGAL

View details

Profesora Contratada Doctor

Universidade de Santiago de Compostela

SPAIN

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Manuel Fernández Delgado

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (16)

Cell Detection in Biomedical Immunohistochemical Images Using Unsupervised Segmentation and Deep Learning

STEM, a Non-Place for Women? Evidences and Transformative Initiatives

Machine and deep learning for the prediction of nutrient deficiency in wheat leaf images

Closed-Form Gaussian Spread Estimation for Small and Large Support Vector Classification

Population-based detection of children ASD/ADHD comorbidity from atypical sensory processing

Closed-Form Gaussian Spread Estimation for Small and Large Support Vector Classification

MSCF: Multi-Scale Canny Filter to Recognize Cells in Microscopic Images

CT-Based Radiomics to Predict KRAS Mutation in CRC Patients Using a Machine Learning Algorithm: A Retrospective Study

Viability Study of Machine Learning-Based Prediction of COVID-19 Pandemic Impact in Obsessive-Compulsive Disorder Patients

Automatic marbling prediction of sliced dry-cured ham using image segmentation, texture analysis and regression

Ultra Fast Classification and Regression of High-Dimensional Problems Projected on 2D

Quick extreme learning machine for large-scale classification

A comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset: A study of God class

Fast Support Vector Classification for Large-Scale Problems

STERapp: Semiautomatic Software for Stereological Analysis. Application in the Estimation of Fish Fecundity

Exploratory study of the impact of project domain and size category on the detection of the God class design smell

Collaborators (11)

Senén Barro

Encina Calvo Iglesias

María Tubío Fungueiriño

Sara Cruz

Eva Aguayo

Sandra Carvalho

Yania Crespo

Eva Cernadas

José Ángel Taboada González

Víctor González-Castro

Pilar Gandara Vila

Make your next move.