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Florentino Fdez-Riverola

Florentino Fdez-Riverola

D-Index & Metrics

Computer Science

D-Index
37
Citations
6169
World Ranking
10715
National Ranking
171

Overview

Florentino Fdez-Riverola is affiliated with Universidade de Vigo in Spain. Their research spans multiple disciplines, prominently featuring Computer Science, Biochemistry, Genetics and Molecular Biology, and Medicine.

The scientist's work covers specialized subfields including Molecular Biology, Artificial Intelligence, Oncology, Computer Vision and Pattern Recognition, and Epidemiology. Key research topics they focus on are colorectal cancer screening and detection, genomics and phylogenetic studies, machine learning applications in healthcare, radiomics combined with machine learning in medical imaging, advanced neural network applications, IoT and edge/fog computing, and biomedical text mining and ontologies.

Florentino Fdez-Riverola has published several papers addressing these topics. Notable recent publications include:

  • Deep Neural Networks approaches for detecting and classifying colorectal polyps, 2020, Neurocomputing
  • Real-time polyp detection model using convolutional neural networks, 2021, Neural Computing and Applications
  • An RNA-seq Based Machine Learning Approach Identifies Latent Tuberculosis Patients With an Active Tuberculosis Profile, 2020, Frontiers in Immunology
  • Optimized convolutional neural network architectures for efficient on-device vision-based object detection, 2021, Neural Computing and Applications
  • Revisiting the Metabolic Capabilities of Bifidobacterium longum susbp. longum and Bifidobacterium longum subsp. infantis from a Glycoside Hydrolase Perspective, 2020, Microorganisms

The scientist frequently collaborates with various colleagues. The most frequent co-authors include Miguel Reboiro-Jato, Hugo López-Fernández, Daniel Glez-Peña, Anália Lourenço, and Martín Pérez-Pérez.

Florentino Fdez-Riverola has contributed significantly to publication venues such as:

  • Neurocomputing
  • Gastroenterología y Hepatología
  • Neural Computing and Applications
  • Interdisciplinary Sciences Computational Life Sciences
  • IEEE/ACM Transactions on Computational Biology and Bioinformatics

Their collaborations and published work also extend to book publications by major academic publishers. These include titles in the series Practical Applications of Computational Biology and Bioinformatics presented at international conferences, published by Springer International Publishing and Springer Nature between 2020 and 2023.

Best Publications

  • ALTER: program-oriented conversion of DNA and protein alignments

    Daniel Glez-Peña;Daniel Gómez-Blanco;Miguel Reboiro-Jato;Florentino Fdez-Riverola

  • Web scraping technologies in an API world

    Daniel Glez-Peña;Anália Lourenço;Hugo López-Fernández;Miguel Reboiro-Jato

  • FSfRT: Forecasting System for Red Tides

    Florentino Fdez-Riverola;Juan M. Corchado

  • Applying lazy learning algorithms to tackle concept drift in spam filtering

    F. Fdez-Riverola;E. L. Iglesias;F. Díaz;J. R. Méndez

  • gene‐CBR: A CASE‐BASED REASONIG TOOL FOR CANCER DIAGNOSIS USING MICROARRAY DATA SETS

    Fernando Díaz;Florentino Fdez-Riverola;Juan M. Corchado

  • A comparative performance study of feature selection methods for the anti-spam filtering domain

    J. R. Méndez;F. Fdez-Riverola;F. Díaz;E. L. Iglesias

  • Tokenising, stemming and stopword removal on anti-spam filtering domain

    J. R. Méndez;E. L. Iglesias;F. Fdez-Riverola;F. Díaz

  • CBR based system for forecasting red tides

    Florentino Fdez-Riverola;Juan M. Corchado

  • SpamHunting: An instance-based reasoning system for spam labelling and filtering

    F. Fdez-Riverola;E. L. Iglesias;F. Díaz;J. R. Méndez

  • FSfRT: FORECASTING SYSTEM FOR RED TIDES. A HYBRID AUTONOMOUS AI MODEL

    Florentino Fdez-Riverola;Juan M. Corchado

  • Tracking concept drift at feature selection stage in spamhunting: an anti-spam instance-based reasoning system

    J. R. Méndez;F. Fdez-Riverola;E. L. Iglesias;F. Díaz

  • Wireless Body Area Networks for healthcare applications: protocol stack review

    Luis Filipe;Florentino Fdez-Riverola;Nuno Costa;António Pereira

  • geneCBR: a translational tool for multiple-microarray analysis and integrative information retrieval for aiding diagnosis in cancer research.

    Daniel Glez-Peña;Fernando Díaz;Jesús M Hernández;Juan M Corchado

  • Evaluating the air-sea interactions and fluxes using an instance-based reasoning system

    Juan M. Corchado;Jim Aiken;Emilio S. Corchado;Florentino Fdez-Riverola

  • An Automated Hybrid CBR System for Forecasting

    Florentino Fdez-Riverola;Juan M. Corchado;Jesús M. Torres

  • Mass-Up: an all-in-one open software application for MALDI-TOF mass spectrometry knowledge discovery.

    Hugo López-Fernández;Hugo Miguel Santos;José L. Capelo;Florentino Fdez-Riverola

  • Improving gene selection in microarray data analysis using fuzzy patterns inside a CBR system

    Florentino Fdez-Riverola;Fernando Díaz;M. Lourdes Borrajo;J. Carlos Yáñez

  • Applying Rough Sets Reduction Techniques to the Construction of a Fuzzy Rule Base for Case Based Reasoning

    Florentino Fdez-Riverola;Fernando Díaz;Juan M. Corchado

  • Deep Neural Networks approaches for detecting and classifying colorectal polyps

    Alba Nogueira-Rodríguez;Rubén Domínguez-Carbajales;Hugo López-Fernández;Águeda Iglesias

  • Forecasting red tides using an hybrid neuro-symbolic system

    F. Fdez-Riverola;J. M. Corchado

Frequent Co-Authors

Juan M. Corchado
Juan M. Corchado University of Salamanca
Miguel Rocha
Miguel Rocha University of Minho
Borja Sánchez
Borja Sánchez Spanish National Research Council
Gonzalo Gómez-López
Gonzalo Gómez-López Universidade de Vigo
Abelardo Margolles
Abelardo Margolles Spanish National Research Council
Martin Krallinger
Martin Krallinger Barcelona Supercomputing Center
Nuno F. Azevedo
Nuno F. Azevedo University of Porto
Michael Emmerich
Michael Emmerich Leiden University
Eugénio C. Ferreira
Eugénio C. Ferreira University of Minho
Patricia Ruas-Madiedo
Patricia Ruas-Madiedo Spanish National Research Council

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