FLORENTINO
FERNANDEZ RIVEROLA
CATEDRATICO/A UNIVERSIDADE - TEMPO COMPLETO
DAVID ALFONSO
RUANO ORDAS
PROFESOR/A AXUDANTE DOUTOR/A
Publicacións nas que colabora con DAVID ALFONSO RUANO ORDAS (17)
2018
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Concept drift in e-mail datasets: An empirical study with practical implications
Information Sciences, Vol. 428, pp. 120-135
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Determining the influence of class imbalance for the triage of biomedical documents
Current Bioinformatics, Vol. 13, Núm. 6, pp. 592-605
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Quadcriteria Optimization of Binary Classifiers: Error Rates, Coverage, and Complexity
Advances in Intelligent Systems and Computing
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Using evolutionary computation for discovering spam patterns from e-mail samples
Information Processing and Management, Vol. 54, Núm. 2, pp. 303-317
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WARCProcessor: An integrative tool for building and management of web spam corpora
Sensors (Switzerland), Vol. 18, Núm. 1
2016
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Boosting Accuracy of Classical Machine Learning Antispam Classifiers in Real Scenarios by Applying Rough Set Theory
Scientific Programming, Vol. 2016
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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
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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
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WSF2: A Novel Framework for Filtering Web Spam
Scientific Programming, Vol. 2016
2015
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A dynamic model for integrating simple web spam classification techniques
Expert Systems with Applications, Vol. 42, Núm. 21, pp. 7969-7978
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Analyzing the impact of unbalanced data on web spam classification
Advances in Intelligent Systems and Computing
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Combining scheduling heuristics to improve e-mail filtering throughput
Advances in Intelligent Systems and Computing
2013
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Effective scheduling strategies for boosting performance on rule-based spam filtering frameworks
Journal of Systems and Software, Vol. 86, Núm. 12, pp. 3151-3161
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Wirebrush4SPAM: A novel framework for improving efficiency on spam filtering services
Software - Practice and Experience, Vol. 43, Núm. 11, pp. 1299-1318
2012
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Developing anti-spam filters using automatically generated rough sets rules
Advances in Intelligent Systems and Computing
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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
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SDAI: An integral evaluation methodology for content-based spam filtering models
Expert Systems with Applications, Vol. 39, Núm. 16, pp. 12487-12500