David Ruano-Ordás

Gabriela R. Roldán-Molina

Guillermo Suarez-Tangil

Sci. Program., 2021

The bdpar Package: Big Data Pipelining Architecture for R.

[BibT_eX]

[DOI]

R J., 2021

An ontology knowledge inspection methodology for quality assessment and continuous improvement.

[BibT_eX]

[DOI]

Data Knowl. Eng., 2021

2020

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

[BibT_eX]

[DOI]

Sci. Program., 2020

2019

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

[BibT_eX]

[DOI]

Sci. Program., 2019

A multiple classifier system identifies novel cannabinoid CB2 receptor ligands.

[BibT_eX]

[DOI]

Michael T. M. Emmerich

Gerard J. P. van Westen

J. Cheminformatics, 2019

Improving the drug discovery process by using multiple classifier systems.

[BibT_eX]

[DOI]

Michael T. M. Emmerich

Expert Syst. Appl., 2019

A new semantic-based feature selection method for spam filtering.

[BibT_eX]

[DOI]

Tomás R. Cotos-Yáñez

Appl. Soft Comput., 2019

2018

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

[BibT_eX]

[DOI]

Sensors, 2018

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

[BibT_eX]

[DOI]

Inf. Sci., 2018

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

[BibT_eX]

[DOI]

Inf. Process. Manag., 2018

2017

Evolutionary Multi-objective Scheduling for Anti-Spam Filtering Throughput Optimization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Softw. Pract. Exp., 2016

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

[BibT_eX]

[DOI]

Softw. Pract. Exp., 2016

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

[BibT_eX]

[DOI]

Sci. Program., 2016

WSF2: A Novel Framework for Filtering Web Spam.

[BibT_eX]

[DOI]

Sci. Program., 2016

Model for optimising the execution of anti-spam filters.

[BibT_eX]

[DOI]

Inteligencia Artif., 2016

2015

A dynamic model for integrating simple web spam classification techniques.

[BibT_eX]

[DOI]

Rosalía Laza

Reyes Pavón

Expert Syst. Appl., 2015

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

[BibT_eX]

[DOI]

Jiaqi Zhao

Michael T. M. Emmerich

Proceedings of the EVOLVE, 2015

Combining Scheduling Heuristics to Improve e-mail Filtering Throughput.

[BibT_eX]

[DOI]

Proceedings of the Distributed Computing and Artificial Intelligence, 2015

Analyzing the Impact of Unbalanced Data on Web Spam Classification.

[BibT_eX]

[DOI]

Reyes Pavón

Rosalía Laza

Proceedings of the Distributed Computing and Artificial Intelligence, 2015

2013

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

[BibT_eX]

[DOI]

Softw. Pract. Exp., 2013

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

[BibT_eX]

[DOI]

J. Syst. Softw., 2013

Optimising anti-spam filters with evolutionary algorithms.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2013

2012

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

[BibT_eX]

[DOI]

Expert Syst. Appl., 2012

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

[BibT_eX]

[DOI]

Appl. Soft Comput., 2012

Developing Anti-spam Filters Using Automatically Generated Rough Sets Rules.

[BibT_eX]

[DOI]