José Ramón Méndez

Orcid: 0000-0002-1935-4760

Affiliations:
  • University of Vigo, Department of Computer Science, Spain


According to our database1, José Ramón Méndez authored at least 58 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
An enhanced algorithm for semantic-based feature reduction in spam filtering.
PeerJ Comput. Sci., 2024

2023
Improvements for research data repositories: The case of text spam.
J. Inf. Sci., April, 2023

Multi-objective evolutionary optimization for dimensionality reduction of texts represented by synsets.
PeerJ Comput. Sci., 2023

Deobfuscating Leetspeak With Deep Learning to Improve Spam Filtering.
Int. J. Interact. Multim. Artif. Intell., 2023

2022
Enhancing representation in the context of multiple-channel spam filtering.
Inf. Process. Manag., 2022

Improving Pipelining Tools for Pre-processing Data.
Int. J. Interact. Multim. Artif. Intell., 2022

2021
Novel Tools for the Management, Representation, and Exploitation of Textual Information.
Sci. Program., 2021

The bdpar Package: Big Data Pipelining Architecture for R.
R J., 2021

An ontology knowledge inspection methodology for quality assessment and continuous improvement.
Data Knowl. Eng., 2021

2020
Using Natural Language Preprocessing Architecture (NLPA) for Big Data Text Sources.
Sci. Program., 2020

SDRS: A new lossless dimensionality reduction for text corpora.
Inf. Process. Manag., 2020

2019
A Practical Approach to Protect IoT Devices against Attacks and Compile Security Incident Datasets.
Sci. Program., 2019

A multiple classifier system identifies novel cannabinoid CB2 receptor ligands.
J. Cheminformatics, 2019

Improving the drug discovery process by using multiple classifier systems.
Expert Syst. Appl., 2019

A new semantic-based feature selection method for spam filtering.
Appl. Soft Comput., 2019

2018
WARCProcessor: An Integrative Tool for Building and Management of Web Spam Corpora.
Sensors, 2018

Concept drift in e-mail datasets: An empirical study with practical implications.
Inf. Sci., 2018

Using evolutionary computation for discovering spam patterns from e-mail samples.
Inf. Process. Manag., 2018

2017
Corrigendum to "A spam filtering multi-objective optimization study covering parsimony maximization and three-way classification" [Applied Soft Computing Volume 48 (2016) 111-123].
Appl. Soft Comput., 2017

Evolutionary Multi-objective Scheduling for Anti-Spam Filtering Throughput Optimization.
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017

2016
Using new scheduling heuristics based on resource consumption information for increasing throughput on rule-based spam filtering systems.
Softw. Pract. Exp., 2016

RuleSIM: a toolkit for simulating the operation and improving throughput of rule-based spam filters.
Softw. Pract. Exp., 2016

Boosting Accuracy of Classical Machine Learning Antispam Classifiers in Real Scenarios by Applying Rough Set Theory.
Sci. Program., 2016

WSF2: A Novel Framework for Filtering Web Spam.
Sci. Program., 2016

A spam filtering multi-objective optimization study covering parsimony maximization and three-way classification.
Appl. Soft Comput., 2016

2015
A dynamic model for integrating simple web spam classification techniques.
Expert Syst. Appl., 2015

Quadcriteria Optimization of Binary Classifiers: Error Rates, Coverage, and Complexity.
Proceedings of the EVOLVE, 2015

Combining Scheduling Heuristics to Improve e-mail Filtering Throughput.
Proceedings of the Distributed Computing and Artificial Intelligence, 2015

Analyzing the Impact of Unbalanced Data on Web Spam Classification.
Proceedings of the Distributed Computing and Artificial Intelligence, 2015

2013
Wirebrush4SPAM: a novel framework for improving efficiency on spam filtering services.
Softw. Pract. Exp., 2013

Effective scheduling strategies for boosting performance on rule-based spam filtering frameworks.
J. Syst. Softw., 2013

Optimization of Anti-Spam Systems with Multiobjective Evolutionary Algorithms.
Inf. Resour. Manag. J., 2013

Optimising anti-spam filters with evolutionary algorithms.
Expert Syst. Appl., 2013

2012
A JAVA application framework for scientific software development.
Softw. Pract. Exp., 2012

Grindstone4Spam: An optimization toolkit for boosting e-mail classification.
J. Syst. Softw., 2012

SDAI: An integral evaluation methodology for content-based spam filtering models.
Expert Syst. Appl., 2012

Rough sets for spam filtering: Selecting appropriate decision rules for boundary e-mail classification.
Appl. Soft Comput., 2012

Developing Anti-spam Filters Using Automatically Generated Rough Sets Rules.
Proceedings of the Management Intelligent Systems - First International Symposium, 2012

2011
Rapid development of proteomic applications with the AIBench framework.
J. Integr. Bioinform., 2011

Building Proteomics Applications with the AIBench Application Framework.
Proceedings of the 5th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2011

Survey on Anti-spam Single and Multi-objective Optimization.
Proceedings of the ENTERprise Information Systems - International Conference, 2011

2010
BioDR: Semantic indexing networks for biomedical document retrieval.
Expert Syst. Appl., 2010

2009
Fuzzy Patterns and GCS Networks to Clustering Gene Expression Data.
Proceedings of the Fuzzy Systems in Bioinformatics and Computational Biology, 2009

Managing irrelevant knowledge in CBR models for unsolicited e-mail classification.
Expert Syst. Appl., 2009

Biomedical Text Mining Applied to Document Retrieval and Semantic Indexing.
Proceedings of the Distributed Computing, 2009

An Evolutionary Approach for Sample-Based Clustering on Microarray Data.
Proceedings of the Distributed Computing, 2009

2008
A Comparative Impact Study of Attribute Selection Techniques on Naïve Bayes Spam Filters.
Proceedings of the Advances in Data Mining. Medical Applications, 2008

The Impact of Noise in Spam Filtering: A Case Study.
Proceedings of the Advances in Data Mining. Medical Applications, 2008

2007
Applying lazy learning algorithms to tackle concept drift in spam filtering.
Expert Syst. Appl., 2007

SpamHunting: An instance-based reasoning system for spam labelling and filtering.
Decis. Support Syst., 2007

Intelligent systems for detecting and filtering spam e-mail: a survey.
Inteligencia Artif., 2007

Analyzing the Performance of Spam Filtering Methods When Dimensionality of Input Vector Changes.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

Assessing Classification Accuracy in the Revision Stage of a CBR Spam Filtering System.
Proceedings of the Case-Based Reasoning Research and Development, 2007

Relaxing Feature Selection in Spam Filtering by Using Case-Based Reasoning Systems.
Proceedings of the Progress in Artificial Intelligence, 2007

2006
Adaptive System with Intelligent Labelling for the Classification of E-mail Spam.
Inteligencia Artif., 2006

A Comparative Performance Study of Feature Selection Methods for the Anti-spam Filtering Domain.
Proceedings of the Advances in Data Mining, 2006

Tracking Concept Drift at Feature Selection Stage in SpamHunting: An Anti-spam Instance-Based Reasoning System.
Proceedings of the Advances in Case-Based Reasoning, 8th European Conference, 2006

2005
Tokenising, Stemming and Stopword Removal on Anti-spam Filtering Domain.
Proceedings of the Current Topics in Artificial Intelligence, 2005


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