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Florentino Fdez-Riverola

Professor

Universidade de Vigo

Spain

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Research Interests

Microbiology

20%

Immunology

20%

Deep Learning

30%

Bioscience

20%

Gut Microbiota

20%

Biomedical Applications

20%

Convolutional Neural Network

20%

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Articles17

PolyDeep Advance 1: Clinical Validation of a Computer-Aided Detection System for Colorectal Polyp Detection with a Second Observer Design

Article Link

Year:

2025

Insights into wheat science: A bibliometric review using unsupervised machine learning techniques

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Year:

2024

Encouraging Eco-Innovative Urban Development

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Year:

2024

Tracking the spread of Pollen in social media: A retrospective analysis of pollen messages from Twitter (Preprint)

Article Link

Year:

2024

Horizontally Distributed Inference of Deep Neural Networks for AI-Enabled IoT

Article Link

Year:

2023

Alnus Airborne Pollen Trends during the Last 26 Years for Improving Machine Learning-Based Forecasting Methods

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Year:

2023

MOZART, a QSAR Multi-Target Web-Based Tool to Predict Multiple Drug–Enzyme Interactions

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Year:

2023

Cloud-assisted collaborative inference of convolutional neural networks for vision tasks on resource-constrained devices

Article Link

Year:

2023

A novel gluten knowledge base of potential biomedical and health-related interactions extracted from the literature: Using machine learning and graph analysis methodologies to reconstruct the bibliome

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Year:

2023

Targeted depletion of <i>pks</i>+ bacteria from a fecal microbiota using specific antibodies

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Year:

2023

Optimized convolutional neural network architectures for efficient on-device vision-based object detection

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Year:

2022

Use Social Media Knowledge for Exploring the Portuguese Wine Industry: Following Talks and Perceptions?

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Year:

2022

Boosting biomedical document classification through the use of domain entity recognizers and semantic ontologies for document representation: The case of gluten bibliome

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Year:

2022

A deep learning relation extraction approach to support a biomedical semi-automatic curation task: The case of the gluten bibliome

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Year:

2022

An Entropic Approach to Burnout in the Management of a Kitchen Staff Team

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Year:

2022

Enhancing sepsis management through machine learning techniques: A review

Article Link

Year:

2022

Real-time polyp detection model using convolutional neural networks

Article Link

Year:

2022

Collaborators12

Jorge Ribeiro

Professor

Instituto Politécnico de Leiria

PORTUGAL

Miguel Reboiro-Jato

Associate Professor (Profesor Titular de Universidad)

Universidade de Vigo

SPAIN

Daniel Glez-Peña

Associate Professor

Universidade de Vigo

SPAIN

Henrique Vicente

Assistant Professor

University of Évora

PORTUGAL

Francisco Javier Rodríguez-Rajo

Universidade de Vigo

SPAIN

Reyes Pavon

Universidade de Vigo

SPAIN

Maria Natália Dias Soeiro Cordeiro

Associate Professor

Universidade do Porto Faculdade de Engenharia

PORTUGAL

Anália Lourenço

Universidade de Vigo

SPAIN

Martín Pérez Pérez

PhD Assistant Professor

Universidade de Vigo - Campus Ourense

SPAIN

Ivan Rodriguez-Conde

Assistant Professor

University of Arkansas at Little Rock

UNITED STATES

Gilberto Igrejas

Universidade de Trás-os-Montes e Alto Douro

PORTUGAL

José Ramón Méndez Reboredo

Associate Professor

Universidade de Vigo

SPAIN

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