Florentino Fernández Riverola

发表

Martín Pérez-Pérez, Anália Lourenço, Gilberto Igrejas, 2020, PACBB.

http Hunting: An IBR Approach to Filtering Dangerous HTTP Traffic

Florentino Fernández Riverola, Francisco J. Rodríguez, María Lourdes Borrajo Diz, 2006, ICDM.

Proposal of a New Bioinformatics Pipeline for Metataxonomics in Precision Medicine

Florentino Fernández Riverola, Osvaldo Graña-Castro, Hugo López-Fernández, 2019, PACBB.

Fuzzy Patterns and GCS Networks to Clustering Gene Expression Data

Juan M. Corchado, Florentino Fernández Riverola, Daniel Glez-Peña, 2009, Fuzzy Systems in Bioinformatics and Computational Biology.

Concept drift in e-mail datasets: An empirical study with practical implications

Florentino Fernández Riverola, José Ramon Méndez, David Ruano-Ordás, 2018, Inf. Sci..

Software Didáctico como Soporte al Proceso de Aprendizaje en Titulaciones de Ingeniería Informática

Florentino Fernández Riverola, 2008 .

Deep Neural Networks approaches for detecting and classifying colorectal polyps

Florentino Fernández Riverola, Daniel Glez-Peña, Hugo López-Fernández, 2021, Neurocomputing.

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

Juan M. Corchado, Emilio Corchado, Florentino Fernández Riverola, 2005, AI Commun..

Selected Extended Papers of the 11th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB)

Miguel Rocha, Florentino Fernández Riverola, 2017, J. Integr. Bioinform..

Building a GATK-Based Tool for Methylation Analysis in Next-Generation Bisulfite Sequencing Experiments

Florentino Fernández Riverola, Daniel Glez-Peña, Osvaldo Graña, 2011, PACBB.

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

Juan M. Corchado, Florentino Fernández Riverola, Fernando Díaz, 2006, Comput. Intell..

Medical-Miner: Integración de conocimiento textual explícito en técnicas de minería de datos para la creación de herramientas traslacionales en medicina

Florentino Fernández Riverola, Manuel J. Maña López, Daniel Glez-Peña, 2010, Proces. del Leng. Natural.

Resources and tools for the high-throughput, multi-omic study of intestinal microbiota

Anália Lourenço, Florentino Fernández Riverola, Aitor Blanco-Míguez, 2019, Briefings Bioinform..

WhichGenes: a web-based tool for gathering, building, storing and exporting gene sets with application in gene set enrichment analysis

Florentino Fernández Riverola, Daniel Glez-Peña, David G. Pisano, 2009, Nucleic Acids Res..

genEnsemble: A new model for the combination of classifiers and integration of biological knowledge applied to genomic data

Florentino Fernández Riverola, Daniel Glez-Peña, Fernando Díaz, 2013, Expert Syst. Appl..

Multiple-Microarray Analysis and Internet Gathering Information with Application for Aiding Medical Diagnosis in Cancer Research

Manuel Glez Bedia, Florentino Fernández Riverola, Daniel Glez-Peña, 2008, IWPACBB.

Inferences on Mycobacterium Leprae Host Immune Response Escape and Antibiotic Resistance Using Genomic Data and GenomeFastScreen

Florentino Fernández Riverola, Hugo López-Fernández, Miguel Reboiro-Jato, 2020, PACBB.

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

Juan M. Corchado, Florentino Fernández Riverola, J. Corchado, 2003, Appl. Artif. Intell..

Marky: A tool supporting annotation consistency in multi-user and iterative document annotation projects

Martín Pérez-Pérez, Anália Lourenço, Florentino Fernández Riverola, 2015, Comput. Methods Programs Biomed..

Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009 Workshops, Salamanca, Spain, June 10-12, 2009. Proceedings, Part II

Juan M. Corchado, Emilio Corchado, Miguel Rocha, 2009, IWANN.

FSfRT: Forecasting System for Red Tides

Juan M. Corchado, Florentino Fernández Riverola, J. Corchado, 2004, Applied Intelligence.

A Comparative Impact Study of Attribute Selection Techniques on Naïve Bayes Spam Filters

Miguel Rocha, Florentino Fernández Riverola, Daniel Glez-Peña, 2008, ICDM.

Analyzing the Performance of Spam Filtering Methods When Dimensionality of Input Vector Changes

Florentino Fernández Riverola, Daniel Glez-Peña, José Ramon Méndez, 2007, MLDM.

Using Variable Precision Rough Set for Selection and Classification of Biological Knowledge Integrated in DNA Gene Expression

Florentino Fernández Riverola, Silvana Gómez Meire, Daniel Glez-Peña, 2012, Journal of integrative bioinformatics.

Generación de contenido dinámico para la web: revisión, alternativas y soluciones Java

Florentino Fernández Riverola, 2001 .

Developing New Services for the Automotive Industry using Matrix

Florentino Fernández Riverola, Daniel Glez-Peña, Silvia Alén, 2007, WEBIST.

A Hybrid CBR Model for Forecasting in Complex Domains

Juan M. Corchado, Florentino Fernández Riverola, 2002, IBERAMIA.

geneCommittee: a web-based tool for extensively testing the discriminatory power of biologically relevant gene sets in microarray data classification

José Luís Oliveira, Joel Arrais, Florentino Fernández Riverola, 2014, BMC Bioinformatics.

Using Fuzzy Patterns for Gene Selection and Data Reduction on Microarray Data

Juan M. Corchado, Florentino Fernández Riverola, Fernando Díaz, 2006, IDEAL.

Using evolutionary computation for discovering spam patterns from e-mail samples

Florentino Fernández Riverola, José Ramon Méndez, David Ruano-Ordás, 2018, Inf. Process. Manag..

Elder Care's Fall Detection System

Florentino Fernández Riverola, António Pereira, Isabel Marcelino, 2011, ISAmI.

A framework for the development of Biomedical Text Mining software tools

Eugénio C. Ferreira, Miguel Rocha, Anália Lourenço, 2008, 2008 8th IEEE International Conference on BioInformatics and BioEngineering.

Managing irrelevant knowledge in CBR models for unsolicited e-mail classification

Juan M. Corchado, Florentino Fernández Riverola, Fernando Díaz, 2009, Expert Syst. Appl..

Medical-Miner at TREC 2011 Medical Records Track

Florentino Fernández Riverola, Manuel J. Maña López, Daniel Glez-Peña, 2011, TREC.

A comprehensive analysis about the influence of low-level preprocessing techniques on mass spectrometry data for sample classification

Florentino Fernández Riverola, Daniel Glez-Peña, Hugo López-Fernández, 2014, Int. J. Data Min. Bioinform..

The Activity of Bioinformatics Developers and Users in Stack Overflow

Anália Lourenço, Florentino Fernández Riverola, Guillermo Blanco, 2020, PACBB.

Automated Collection and Sharing of Adaptive Amino Acid Changes Data

Florentino Fernández Riverola, Hugo López-Fernández, Miguel Reboiro-Jato, 2017, PACBB.

Integrating Heterogeneous Data and Applications with Distributed-AIBENCH

Florentino Fernández Riverola, Daniel Glez-Peña, Julia Glez-Dopazo, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

A Comparative Study of Microarray Data Classification Methods Based on Ensemble Biological Relevant Gene Sets

Florentino Fernández Riverola, Daniel Glez-Peña, Fernando Díaz, 2010, IWPACBB.

Elder Care Alert Management - Decision Support by a Logistic Regression Model

Florentino Fernández Riverola, António Pereira, Miguel Felgueiras, 2011, PAAMS.

S2P: A Desktop Application for Fast and Easy Processing of 2D-Gel and MALDI-Based Mass Spectrometry Protein Data

Florentino Fernández Riverola, Daniel Glez-Peña, Hugo López-Fernández, 2017, PACBB.

An Automated Hybrid Reasoning System for Forecasting

Juan M. Corchado, Florentino Fernández Riverola, 2002, HIS.

P4P: a peptidome-based strain-level genome comparison web tool

Anália Lourenço, Florentino Fernández Riverola, Aitor Blanco-Míguez, 2017, Nucleic Acids Res..

An Automated Hybrid CBR System for Forecasting

Juan M. Corchado, Florentino Fernández Riverola, Jesús M. Torres, 2002, ECCBR.

S2P: A software tool to quickly carry out reproducible biomedical research projects involving 2D-gel and MALDI-TOF MS protein data

Florentino Fernández Riverola, Daniel Glez-Peña, Hugo López-Fernández, 2018, Comput. Methods Programs Biomed..

Incorporating biological knowledge to microarray data classification through genomic data fusion

Florentino Fernández Riverola, Daniel Glez-Peña, Fernando Díaz, 2010, 2010 13th International Conference on Information Fusion.

RuleSIM: a toolkit for simulating the operation and improving throughput of rule‐based spam filters

Florentino Fernández Riverola, José Ramon Méndez, Vítor Basto Fernandes, 2016, Softw. Pract. Exp..

Current Efforts to Integrate Biological Pathway Information

Florentino Fernández Riverola, Daniel Glez-Peña, David G. Pisano, 2009, IWANN.

AIBench: A rapid application development framework for translational research in biomedicine

Miguel Rocha, Florentino Fernández Riverola, Daniel Glez-Peña, 2010, Comput. Methods Programs Biomed..

PileLine: a toolbox to handle genome position information in next-generation sequencing studies

Florentino Fernández Riverola, Daniel Glez-Peña, Miguel Reboiro-Jato, 2011, BMC Bioinformatics.

ADOPS - Automatic Detection Of Positively Selected Sites

Nuno A. Fonseca, Florentino Fernández Riverola, Miguel Reboiro-Jato, 2012, J. Integr. Bioinform..

@Note: A workbench for Biomedical Text Mining

Eugénio C. Ferreira, Miguel Rocha, Anália Lourenço, 2009, J. Biomed. Informatics.

Bicycle: a bioinformatics pipeline to analyze bisulfite sequencing data

Florentino Fernández Riverola, Daniel Glez-Peña, Hugo López-Fernández, 2018, Bioinform..

Tracking Concept Drift at Feature Selection Stage in SpamHunting: An Anti-spam Instance-Based Reasoning System

Juan M. Corchado, Florentino Fernández Riverola, Fernando Díaz, 2006, ECCBR.

Inferring Positive Selection in Large Viral Datasets

Florentino Fernández Riverola, Hugo López-Fernández, Miguel Reboiro-Jato, 2019, PACBB.

BIOMedical Search Engine Framework: Lightweight and customized implementation of domain-specific biomedical search engines

Anália Lourenço, Florentino Fernández Riverola, Alberto G. Jácome, 2016, Comput. Methods Programs Biomed..

Reducing the Memory Size of a Fuzzy Case-Based Reasoning System Applying Rough Set Techniques

Juan M. Corchado, Florentino Fernández Riverola, Fernando Díaz, 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

EvoPPI: A Web Application to Compare Protein-Protein Interactions (PPIs) from Different Databases and Species

Florentino Fernández Riverola, Rui Camacho, Hugo López-Fernández, 2018, PACBB.

ALTER: program-oriented conversion of DNA and protein alignments

Florentino Fernández Riverola, Daniel Glez-Peña, David Posada, 2010, Nucleic Acids Res..

Combining Scheduling Heuristics to Improve e-mail Filtering Throughput

Florentino Fernández Riverola, José Ramon Méndez, David Ruano-Ordás, 2015, DCAI.

Tokenising, Stemming and Stopword Removal on Anti-spam Filtering Domain

Juan M. Corchado, Florentino Fernández Riverola, Fernando Díaz, 2005, CAEPIA.

Computational prediction of the bioactivity potential of proteomes based on expert knowledge

Anália Lourenço, Florentino Fernández Riverola, Aitor Blanco-Míguez, 2019, J. Biomed. Informatics.

PileLineGUI: a desktop environment for handling genome position files in next-generation sequencing studies

Florentino Fernández Riverola, Daniel Glez-Peña, Hugo López-Fernández, 2011, Nucleic Acids Res..

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

Juan M. Corchado, Florentino Fernández Riverola, Daniel Glez-Peña, 2009, BMC Bioinformatics.

A Novel Search Engine Supporting Specific Drug Queries and Literature Management

Anália Lourenço, Florentino Fernández Riverola, Alberto G. Jácome, 2015, PACBB.

Evaluating the effect of unbalanced data in biomedical document classification

Florentino Fernández Riverola, Miguel Reboiro-Jato, Rosalía Laza, 2011, J. Integr. Bioinform..

Assessing the Impact of Class-Imbalanced Data for Classifying Relevant/Irrelevant Medline Documents

Florentino Fernández Riverola, Miguel Reboiro-Jato, Rosalía Laza, 2011, PACBB.

An Evolutionary Approach for Sample-Based Clustering on Microarray Data

Juan M. Corchado, Florentino Fernández Riverola, Daniel Glez-Peña, 2009, IWANN.

WirePET: Desarrollando Videojuegos para Dispositivos Móviles con Comunicación Bluetooth.

Florentino Fernández Riverola, Juan Manuel Corchado Rodríguez, Javier Bajo Pérez, 2007 .

Improving Gene Selection in Microarray Data Analysis Using Fuzzy Patterns Inside a CBR System

Juan M. Corchado, Florentino Fernández Riverola, Fernando Díaz, 2005, ICCBR.

SDAI: An integral evaluation methodology for content-based spam filtering models

Florentino Fernández Riverola, José Ramon Méndez, David Ruano-Ordás, 2012, Expert Syst. Appl..

Mining the sociome for Health Informatics: Analysis of therapeutic lifestyle adherence of diabetic patients in Twitter

Martín Pérez-Pérez, Anália Lourenço, Florentino Fernández Riverola, 2020, Future Gener. Comput. Syst..

BioAnnote: A software platform for annotating biomedical documents with application in medical learning environments

Florentino Fernández Riverola, Daniel Glez-Peña, Manuel de Buenaga Rodríguez, 2013, Comput. Methods Programs Biomed..

A novel ensemble approach for multicategory classification of DNA microarray data using biological relevant gene sets

Florentino Fernández Riverola, Daniel Glez-Peña, Miguel Reboiro-Jato, 2012, Int. J. Data Min. Bioinform..

A JAVA application framework for scientific software development

Florentino Fernández Riverola, Daniel Glez-Peña, José Ramon Méndez, 2012, Softw. Pract. Exp..

Boosting Accuracy of Classical Machine Learning Antispam Classifiers in Real Scenarios by Applying Rough Set Theory

Florentino Fernández Riverola, José Ramon Méndez, David Ruano-Ordás, 2016, Sci. Program..

Improving the Elder Care's Wireless Sensor Network Fall Detection System Using Logistic Regression

Florentino Fernández Riverola, António Pereira, Patrício Domingues, 2011, CENTERIS.

Understanding the social evolution of the Java community in Stack Overflow: A 10-year study of developer interactions

Anália Lourenço, Florentino Fernández Riverola, Roi Pérez-López, 2020, Future Gener. Comput. Syst..

A hybrid artificial intelligence model for river flow forecasting

Florentino Fernández Riverola, Silvana Gómez Meire, Juan F. Gálvez, 2013, Appl. Soft Comput..

A dynamic model for integrating simple web spam classification techniques

Florentino Fernández Riverola, José Ramon Méndez, Rosalía Laza, 2015, Expert Syst. Appl..

Web scraping technologies in an API world

Anália Lourenço, Florentino Fernández Riverola, Daniel Glez-Peña, 2014, Briefings Bioinform..

Forecasting red tides using an hybrid neuro-symbolic system

Juan M. Corchado, Florentino Fernández Riverola, J. Corchado, 2003, AI Commun..

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

Juan M. Corchado, Florentino Fernández Riverola, Fernando Díaz, 2007, Decis. Support Syst..

2nd International Workshop on Practical Applications of Computational Biology and Bioinformatics, IWPACBB 2008, Salamanca, Spain, 22th-24th October 2008

Juan M. Corchado, Florentino Fernández Riverola, Miguel Rocha, 2009, IWPACBB.

Relaxing Feature Selection in Spam Filtering by Using Case-Based Reasoning Systems

Juan M. Corchado, Florentino Fernández Riverola, Daniel Glez-Peña, 2007, EPIA Workshops.

Analyzing the Impact of Unbalanced Data on Web Spam Classification

Florentino Fernández Riverola, José Ramon Méndez, Rosalía Laza, 2015, DCAI.

Applying GCS Networks to Fuzzy Discretized Microarray Data for Tumour Diagnosis

Juan M. Corchado, Florentino Fernández Riverola, Daniel Glez-Peña, 2006, IDEAL.

Applying lazy learning algorithms to tackle concept drift in spam filtering

Juan M. Corchado, Florentino Fernández Riverola, Fernando Díaz, 2007, Expert Syst. Appl..

Neuro-symbolic System for Forecasting Red Tides

Juan M. Corchado, Florentino Fernández Riverola, Jesús M. Torres, 2002, AICS.

Application of Statistical Methods to Improve an Acceleration Based Algorithm

Florentino Fernández Riverola, António Pereira, Miguel Felgueiras, 2011, CENTERIS.

A platform for the selection of genes in DNA microarraydata using evolutionary algorithms

Miguel Rocha, Florentino Fernández Riverola, Daniel Glez-Peña, 2007, GECCO '07.

Assessing Classification Accuracy in the Revision Stage of a CBR Spam Filtering System

Juan M. Corchado, Florentino Fernández Riverola, Fernando Díaz, 2007, ICCBR.

Building Proteomics Applications with the AIBench Application Framework

Florentino Fernández Riverola, Daniel Glez-Peña, José Ramon Méndez, 2011, PACBB.

Quadcriteria Optimization of Binary Classifiers: Error Rates, Coverage, and Complexity

Michael T. M. Emmerich, Florentino Fernández Riverola, Iryna Yevseyeva, 2015, EVOLVE.

A robust algorithm for forming note complexes

Florentino Fernández Riverola, Silvana Gómez Meire, Miguel Reboiro-Jato, 2010, Inteligencia Artif..

A Bioinformatics Protocol for Quickly Creating Large-Scale Phylogenetic Trees

Florentino Fernández Riverola, Hugo López-Fernández, Jorge Vieira, 2018, PACBB.

A Workflow for the Application of Biclustering to Mass Spectrometry Data

Florentino Fernández Riverola, Daniel Glez-Peña, Hugo López-Fernández, 2013, PACBB.

Application of agent-based modelling to assess single-molecule transport across the cell envelope of E. coli

Martín Pérez-Pérez, Anália Lourenço, Florentino Fernández Riverola, 2019, Comput. Biol. Medicine.

Using new scheduling heuristics based on resource consumption information for increasing throughput on rule‐based spam filtering systems

Florentino Fernández Riverola, José Ramon Méndez, David Ruano-Ordás, 2016, Softw. Pract. Exp..

Maximum Likelihood Hebbian Learning Based Retrieval Method for CBR Systems

Juan M. Corchado, Emilio Corchado, Colin Fyfe, 2003, ICCBR.

Developing Anti-spam Filters Using Automatically Generated Rough Sets Rules

Florentino Fernández Riverola, José Ramon Méndez, David Ruano-Ordás, 2012, IS-MiS.

Perceptions of the use of intelligent information access systems in university level active learning activities among teachers of biomedical subjects

Florentino Fernández Riverola, Manuel J. Maña López, Daniel Glez-Peña, 2017, Int. J. Medical Informatics.

DEWE: A novel tool for executing differential expression RNA-Seq workflows in biomedical research

Anália Lourenço, Florentino Fernández Riverola, Hugo López-Fernández, 2019, Comput. Biol. Medicine.

Cómo desarrollar y desplegar VoIP

Florentino Fernández Riverola, Liru Valiño, 2002 .

An Experimental Evaluation of a Novel Stochastic Method for Iterative Class Discovery on Real Microarray Datasets

Florentino Fernández Riverola, Fernando Díaz, Daniel Glez-Peña, 2010, IWPACBB.

Biomedical Text Mining Applied to Document Retrieval and Semantic Indexing

Eugénio C. Ferreira, Luis Mateus Rocha, Miguel Rocha, 2009, IWANN.

Rapid development of proteomic applications with the AIBench framework

Florentino Fernández Riverola, Daniel Glez-Peña, José Ramon Méndez, 2011, J. Integr. Bioinform..

WSF2: A Novel Framework for Filtering Web Spam

Florentino Fernández Riverola, José Ramon Méndez, Rosalía Laza, 2016, Sci. Program..

RUbioSeq+: An Application that Executes Parallelized Pipelines to Analyse Next-Generation Sequencing Data

Florentino Fernández Riverola, Daniel Glez-Peña, Hugo López-Fernández, 2016, PACBB.

geneSetFinder: A Multiagent Architecture for Gathering Biological Information

Florentino Fernández Riverola, Daniel Glez-Peña, Rosalía Laza, 2009, PAAMS.

PathJam: a new service for integrating biological pathway information

Florentino Fernández Riverola, Daniel Glez-Peña, Miguel Reboiro-Jato, 2010, J. Integr. Bioinform..

DFP: a Bioconductor package for fuzzy profile identification and gene reduction of microarray data

Florentino Fernández Riverola, Fernando Díaz, Daniel Glez-Peña, 2009, BMC Bioinformatics.

A novel ensemble of classifiers that use biological relevant gene sets for microarray classification

Florentino Fernández Riverola, Fernando Díaz, Daniel Glez-Peña, 2014, Appl. Soft Comput..

Improving Phylogeny Reconstruction at the Strain Level Using Peptidome Datasets

Anália Lourenço, Florentino Fernández Riverola, Markus Göker, 2016, PLoS Comput. Biol..

Using inductive learning to assess compound feed production in cooperative poultry farms

Florentino Fernández Riverola, Daniel Glez-Peña, Miguel Reboiro-Jato, 2011, Expert Syst. Appl..

VoIP, a Door to the Convergence of Nets: A Case Study

Florentino Fernández Riverola, M. Valiño, 2003, International Conference on Internet Computing.

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

Florentino Fernández Riverola, Daniel Glez-Peña, Hugo López-Fernández, 2015, BMC Bioinformatics.

Corrigendum to "A spam filtering multi-objective optimization study covering parsimony maximization and three-way classification" [Applied Soft Computing Volume 48 (2016) 111-123]

Michael T. M. Emmerich, Florentino Fernández Riverola, Iryna Yevseyeva, 2017, Appl. Soft Comput..

Mental workload management as a tool in e-learning scenarios

José Neves, Davide Carneiro, Paulo Novais, 2015, 2015 International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS).

Collaborative relation annotation and quality analysis in Markyt environment

Martín Pérez-Pérez, Anália Lourenço, Florentino Fernández Riverola, 2017, Database J. Biol. Databases Curation.

Marky: A Lightweight Web Tracking Tool for Document Annotation

Martín Pérez-Pérez, Anália Lourenço, Florentino Fernández Riverola, 2014, PACBB.

A spam filtering multi-objective optimization study covering parsimony maximization and three-way classification

Michael T. M. Emmerich, Florentino Fernández Riverola, Iryna Yevseyeva, 2016, Appl. Soft Comput..

A case-based reasoning system for aiding detection and classification of nosocomial infections

Florentino Fernández Riverola, Daniel Glez-Peña, Reyes Pavón, 2016, Decis. Support Syst..

A Mobile Virtual Butler to Bridge the Gap between Users and Ambient Assisted Living: A Smart Home Case Study

Florentino Fernández Riverola, António Pereira, Patrício Domingues, 2014, Sensors.

A Ubiquitous and Low-Cost Solution for Movement Monitoring and Accident Detection Based on Sensor Fusion

Florentino Fernández Riverola, António Pereira, Filipe Felisberto, 2014, Sensors.

Rough sets for spam filtering: Selecting appropriate decision rules for boundary e-mail classification

Florentino Fernández Riverola, José Ramon Méndez, David Ruano-Ordás, 2012, Appl. Soft Comput..

Employing TSK Fuzzy Models to Automate the Revision Stage of a CBR System

Juan M. Corchado, Florentino Fernández Riverola, 2003, CAEPIA.

Biological Knowledge Integration in DNA Microarray Gene Expression Classification Based on Rough Set Theory

Florentino Fernández Riverola, Daniel Glez-Peña, Diego Calvo-Dmgz, 2012, PACBB.

Enabling systematic, harmonised and large-scale biofilms data computation: The Biofilms Experiment Workbench

Anália Lourenço, Florentino Fernández Riverola, Daniel Glez-Peña, 2015, Comput. Methods Programs Biomed..

MAHMI database: a comprehensive MetaHit-based resource for the study of the mechanism of action of the human microbiota

Anália Lourenço, Florentino Fernández Riverola, Aitor Blanco-Míguez, 2017, Database J. Biol. Databases Curation.

RUbioSeq+: A multiplatform application that executes parallelized pipelines to analyse next-generation sequencing data

Florentino Fernández Riverola, Daniel Glez-Peña, Hugo López-Fernández, 2017, Comput. Methods Programs Biomed..

A New Bioinformatic Pipeline to Address the Most Common Requirements in RNA-seq Data Analysis

Florentino Fernández Riverola, Daniel Glez-Peña, Osvaldo Graña, 2015, PACBB.

The Markyt visualisation, prediction and benchmark platform for chemical and gene entity recognition at BioCreative/CHEMDNER challenge

Alfonso Valencia, Martín Pérez-Pérez, Anália Lourenço, 2016, Database J. Biol. Databases Curation.

BioDR: Semantic indexing networks for biomedical document retrieval

Eugénio C. Ferreira, Luis Mateus Rocha, Miguel Rocha, 2010, Expert Syst. Appl..

CBR based system for forecasting red tides

Juan M. Corchado, Florentino Fernández Riverola, J. Corchado, 2003, Knowl. Based Syst..

Autonomous Internal Control System for Small to Medium Firms

Juan M. Corchado, Florentino Fernández Riverola, Fernando Díaz, 2005, ICCBR.

BEW: Bioinformatics Workbench for Analysis of Biofilms Experimental Data

Anália Lourenço, Florentino Fernández Riverola, Daniel Glez-Peña, 2014, PACBB.

11th International Conference on Practical Applications of Computational Biology & Bioinformatics

Florentino Fernández Riverola, 2017 .

The Impact of Noise in Spam Filtering: A Case Study

Florentino Fernández Riverola, Daniel Glez-Peña, José Ramon Méndez, 2008, ICDM.

Construction of antimicrobial peptide-drug combination networks from scientific literature based on a semi-automated curation workflow

Martín Pérez-Pérez, Anália Lourenço, Florentino Fernández Riverola, 2016, Database J. Biol. Databases Curation.

WARCProcessor: An Integrative Tool for Building and Management of Web Spam Corpora

Florentino Fernández Riverola, Rosalía Laza, José Ramon Méndez, 2018, Sensors.

An Intuitive Workflow to Retrieve Somatic Mutations in Next Generation Sequencing Studies

Florentino Fernández Riverola, Daniel Glez-Peña, Miguel Reboiro-Jato, 2011, PACBB.

HaemoKBS: A knowledge-based system for real-time, continuous categorisation of adverse reactions in blood recipients

Anália Lourenço, Florentino Fernández Riverola, Augusto Ramoa, 2021, Neurocomputing.

On the Development of a Pipeline for the Automatic Detection of Positively Selected Sites

Nuno A. Fonseca, Florentino Fernández Riverola, Miguel Reboiro-Jato, 2012, PACBB.

Active and Assisted Living Ecosystem for the Elderly

Florentino Fernández Riverola, António Pereira, Silvana Gómez Meire, 2018, Sensors.

Advances in Bioinformatics - 4th International Workshop on Practical Applications of Computational Biology and Bioinformatics 2010 (IWPACBB 2010), Guimarães, Portugal, 16-18 June 2010

Juan M. Corchado, Miguel Rocha, Hagit Shatkay, 2010, IWPACBB.

Wirebrush4SPAM: a novel framework for improving efficiency on spam filtering services

Florentino Fernández Riverola, José Ramon Méndez, David Ruano-Ordás, 2013, Softw. Pract. Exp..

Online visibility of software-related web sites: The case of biomedical text mining tools

Martín Pérez-Pérez, Anália Lourenço, Florentino Fernández Riverola, 2019, Inf. Process. Manag..

Assessing the Suitability of MeSH Ontology for Classifying Medline Documents

Florentino Fernández Riverola, Miguel Reboiro-Jato, Rosalía Laza, 2011, PACBB.

Multi-agent System for Mass Spectrometry Analysis

Florentino Fernández Riverola, Daniel Glez-Peña, Miguel Reboiro-Jato, 2010, PAAMS.

Using Rough Sets Theory and Minimum Description Length Principle to Improve a beta-TSK Fuzzy Revision Method for CBR Systems

Juan M. Corchado, Florentino Fernández Riverola, Fernando Díaz, 2004, SBIA.

Trends in Practical Applications of Agents and Multiagent Systems

Rafael Corchuelo, Javier Bajo, Juan M. Corchado, 2010 .

Sistemas hibridos neuro-simbolicos: Una revision

Juan M. Corchado, Florentino Fernández Riverola, 2000, Inteligencia Artif..

PathAgent: Multi-agent System for Updated Pathway Information Integration

Florentino Fernández Riverola, Daniel Glez-Peña, Miguel Reboiro-Jato, 2010, PAAMS.

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

Juan M. Corchado, Florentino Fernández Riverola, Fernando Díaz, 2004, IBERAMIA.

Grindstone4Spam: An optimization toolkit for boosting e-mail classification

Eduardo Díaz, Florentino Fernández Riverola, Fernando Díaz, 2012, J. Syst. Softw..

Applying AIBench Framework to Develop Rich User Interfaces in NGS Studies

Florentino Fernández Riverola, Daniel Glez-Peña, Hugo López-Fernández, 2012, PACBB.

Effective scheduling strategies for boosting performance on rule-based spam filtering frameworks

Florentino Fernández Riverola, José Ramon Méndez, David Ruano-Ordás, 2013, J. Syst. Softw..

Unobstructive Body Area Networks (BAN) for Efficient Movement Monitoring

Florentino Fernández Riverola, António Pereira, Nuno Manuel Silva Costa, 2012, Sensors.

A Comparative Performance Study of Feature Selection Methods for the Anti-spam Filtering Domain

Juan M. Corchado, Florentino Fernández Riverola, Fernando Díaz, 2006, ICDM.

Intelligent systems for detecting and filtering spam e-mail: a survey

Juan M. Corchado, Florentino Fernández Riverola, Fernando Díaz, 2007, Inteligencia Artif..

A framework to extract biomedical knowledge from gluten-related tweets: The case of dietary concerns in digital era

Martín Pérez-Pérez, Anália Lourenço, Gilberto Igrejas, 2021, Artif. Intell. Medicine.

Water flows modelling and forecasting using a RBF neural network

Florentino Fernández Riverola, B. S. González, F. F. Riverola, 2008 .