David Ruano-Ordás
David Ruano-Ordás
Assistant Professor, Universidade de Vigo
Verified email at - Homepage
Cited by
Cited by
A new semantic-based feature selection method for spam filtering
JR Mendez, TR Cotos-Yanez, D Ruano-Ordas
Applied Soft Computing 76, 89-104, 2019
Rough sets for spam filtering: Selecting appropriate decision rules for boundary e-mail classification
N Pérez-Díaz, D Ruano-Ordas, JR Mendez, JF Galvez, F Fdez-Riverola
Applied soft computing 12 (11), 3671-3682, 2012
Optimising anti-spam filters with evolutionary algorithms
I Yevseyeva, V Basto-Fernandes, D Ruano-Ordás, JR Méndez
Expert systems with applications 40 (10), 4010-4021, 2013
SDAI: An integral evaluation methodology for content-based spam filtering models
N Perez-Diaz, D Ruano-Ordas, F Fdez-Riverola, JR Mendez
Expert Systems with Applications 39 (16), 12487-12500, 2012
Using evolutionary computation for discovering spam patterns from e-mail samples
D Ruano-Ordás, F Fdez-Riverola, JR Méndez
Information Processing & Management 54 (2), 303-317, 2018
Concept drift in e-mail datasets: An empirical study with practical implications
D Ruano-Ordas, F Fdez-Riverola, JR Mendez
Information Sciences 428, 120-135, 2018
Improving the drug discovery process by using multiple classifier systems
D Ruano-Ordás, I Yevseyeva, VB Fernandes, JR Méndez, ...
Expert Systems with Applications 121, 292-303, 2019
A dynamic model for integrating simple web spam classification techniques
J Fdez-Glez, D Ruano-Ordas, JR Méndez, F Fdez-Riverola, R Laza, ...
Expert Systems with Applications 42 (21), 7969-7978, 2015
Wirebrush4SPAM: a novel framework for improving efficiency on spam filtering services
N Pérez‐Díaz, D Ruano‐Ordas, F Fdez‐Riverola, JR Méndez
Software: Practice and Experience 43 (11), 1299-1318, 2013
Boosting accuracy of classical machine learning antispam classifiers in real scenarios by applying rough set theory
N Pérez-Díaz, D Ruano-Ordás, F Fdez-Riverola, JR Méndez
Scientific Programming 2016, 2016
Effective scheduling strategies for boosting performance on rule-based spam filtering frameworks
D Ruano-Ordás, J Fdez-Glez, F Fdez-Riverola, JR Méndez
Journal of Systems and Software 86 (12), 3151-3161, 2013
WSF2: A Novel Framework for Filtering Web Spam
J Fdez-Glez, D Ruano-Ordás, R Laza, JR Méndez, R Pavón, ...
Scientific Programming 2016, 2016
A practical approach to protect IoT devices against attacks and compile security incident datasets
B Cruz, S Gomez-Meire, D Ruano-Ordás, H Janicke, I Yevseyeva, ...
Scientific Programming 2019, 2019
An ontology knowledge inspection methodology for quality assessment and continuous improvement
GR Roldán-Molina, D Ruano-Ordás, V Basto-Fernandes, JR Méndez
Data & Knowledge Engineering 133, 101889, 2021
Using natural language preprocessing architecture (NLPA) for big data text sources
M Novo-Loures, R Pavon, R Laza, D Ruano-Ordas, JR Mendez
Scientific Programming 2020, 2020
Enhancing representation in the context of multiple-channel spam filtering
M Novo-Loures, D Ruano-Ordas, R Pavon, R Laza, S Gomez-Meire, ...
Information Processing & Management 59 (2), 102812, 2022
Determining the influence of class imbalance for the triage of biomedical documents
J Fdez-Glez, D Ruano-Ordas, JR Mendez, F Fdez-Riverola, R Laza, ...
Current Bioinformatics 13 (6), 592-605, 2018
Analyzing the Impact of Unbalanced Data on Web Spam Classification
J Fdez-Glez, D Ruano-Ordás, F Fdez-Riverola, JR Méndez, R Pavón, ...
Distributed Computing and Artificial Intelligence, 12th International …, 2015
Using new scheduling heuristics based on resource consumption information for increasing throughput on rule‐based spam filtering systems
D Ruano‐Ordás, J Fdez‐Glez, F Fdez‐Riverola, JR Méndez
Software: Practice and Experience 46 (8), 1035-1051, 2016
A multiple classifier system identifies novel cannabinoid CB2 receptor ligands
D Ruano-Ordás, L Burggraaff, R Liu, C van der Horst, LH Heitman, ...
Journal of Cheminformatics 11, 1-14, 2019
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