J. R. Méndez

发表

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

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

Biomedical Text Mining Applied to Document Retrieval and Semantic Indexing

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

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

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

A Practical Approach to Protect IoT Devices against Attacks and Compile Security Incident Datasets

Helge Janicke, Silvana Gómez Meire, Iryna Yevseyeva, 2019, Sci. Program..

Author ' s personal copy Optimising anti-spam filters with evolutionary algorithms

J. R. Méndez, Vítor Basto-Fernandes, David Ruano-Ordás, 2013 .

Determining the Influence of Class Imbalance for the Triage of Biomedical Documents

J. R. Méndez, F. Fdez-Riverola, David Ruano-Ordás, 2017, Current Bioinformatics.

Rapid development of proteomic applications with the AIBench framework

J. R. Méndez, D. Glez-Peña, F. F. Riverola, 2011, J. Integr. Bioinform..

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

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

Applying lazy learning algorithms to tackle concept drift in spam filtering

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

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

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

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

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

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..

Ontology Fixing by Using Software Engineering Technology

Iryna Yevseyeva, José Ramon Méndez, Vitor Basto-Fernandes, 2020, Applied Sciences.

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..

Enhancing representation in the context of multiple-channel spam filtering

Silvana Gómez Meire, J. R. Méndez, David Ruano-Ordás, 2022, Inf. Process. Manag..

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..

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.

A new semantic-based feature selection method for spam filtering

José Ramon Méndez, David Ruano-Ordás, Tomás R. Cotos-Yañez, 2019, Appl. Soft Comput..

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..

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

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

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

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

Improving the drug discovery process by using multiple classifier systems

Michael T. M. Emmerich, Iryna Yevseyeva, José Ramon Méndez, 2019, Expert Syst. Appl..

A multiple classifier system identifies novel cannabinoid CB2 receptor ligands

Gerard J. P. van Westen, Iryna Yevseyeva, David Ruano-Ordás, 2019, Journal of Cheminformatics.

Improvements for research data repositories: The case of text spam

Rosalía Laza, Reyes Pavón, David Ruano-Ordás, 2021, J. Inf. Sci..

The Impact of Noise in Spam Filtering: A Case Study

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

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.

Multi-objective evolutionary optimization for dimensionality reduction of texts represented by synsets

Silvana Gómez Meire, Vítor Basto Fernandes, Iñaki Vélez de Mendizabal, 2023, PeerJ Comput. Sci..

SDRS: A new lossless dimensionality reduction for text corpora

José Ramon Méndez, Vítor Basto Fernandes, Enaitz Ezpeleta, 2020, Inf. Process. Manag..

A JAVA application framework for scientific software development

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

Novel Tools for the Management, Representation, and Exploitation of Textual Information

Vítor Basto Fernandes, David Ruano-Ordás, Jose R. Méndez, 2021, Sci. Program..

Analyzing the Impact of Unbalanced Data on Web Spam Classification

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

An ontology knowledge inspection methodology for quality assessment and continuous improvement

José Ramon Méndez, Vítor Basto Fernandes, David Ruano-Ordás, 2021, Data Knowl. Eng..

Using CBR as Design Methodology for Developing Adaptable Decision Support Systems

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

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

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

Optimization of Anti-Spam Systems with Multiobjective Evolutionary Algorithms

Iryna Yevseyeva, José Ramon Méndez, Vítor Basto Fernandes, 2013, Inf. Resour. Manag. J..

Using Natural Language Preprocessing Architecture (NLPA) for Big Data Text Sources

José Ramon Méndez, Rosalía Laza, Reyes Pavón, 2020, Sci. Program..

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

I. Yevseyeva, J. R. Méndez, F. F. Riverola, 2016, Appl. Soft Comput..

Repositório ISCTE-IUL

Vítor Basto Fernandes, M. Emmerich, I. Yevseyeva, 2022 .

A dynamic model for integrating simple web spam classification techniques

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

WSF2: A Novel Framework for Filtering Web Spam

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

BioDR: Semantic indexing networks for biomedical document retrieval

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