Publicacións nas que colabora con Florentino Fernández Riverola (17)

2018

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

    Information Sciences, Vol. 428, pp. 120-135

  2. Determining the influence of class imbalance for the triage of biomedical documents

    Current Bioinformatics, Vol. 13, Núm. 6, pp. 592-605

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

    Advances in Intelligent Systems and Computing

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

    Information Processing and Management, Vol. 54, Núm. 2, pp. 303-317

  5. WARCProcessor: An integrative tool for building and management of web spam corpora

    Sensors (Switzerland), Vol. 18, Núm. 1

2016

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

    Scientific Programming, Vol. 2016

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

    Software - Practice and Experience, Vol. 46, Núm. 8, pp. 1091-1108

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

    Software - Practice and Experience, Vol. 46, Núm. 8, pp. 1035-1051

  4. WSF2: A Novel Framework for Filtering Web Spam

    Scientific Programming, Vol. 2016

2015

  1. A dynamic model for integrating simple web spam classification techniques

    Expert Systems with Applications, Vol. 42, Núm. 21, pp. 7969-7978

  2. Analyzing the impact of unbalanced data on web spam classification

    Advances in Intelligent Systems and Computing

  3. Combining scheduling heuristics to improve e-mail filtering throughput

    Advances in Intelligent Systems and Computing

2013

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

    Journal of Systems and Software, Vol. 86, Núm. 12, pp. 3151-3161

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

    Software - Practice and Experience, Vol. 43, Núm. 11, pp. 1299-1318

2012

  1. Developing anti-spam filters using automatically generated rough sets rules

    Advances in Intelligent Systems and Computing

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

    Applied Soft Computing Journal, Vol. 12, Núm. 11, pp. 3671-3682

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

    Expert Systems with Applications, Vol. 39, Núm. 16, pp. 12487-12500