Publicacións nas que colabora con DAVID ALFONSO RUANO ORDAS (31)

2023

  1. Improvements for research data repositories: The case of text spam

    Journal of Information Science, Vol. 49, Núm. 2, pp. 285-301

2022

  1. Enhancing representation in the context of multiple-channel spam filtering

    Information Processing and Management, Vol. 59, Núm. 2

  2. Improving Pipelining Tools for Pre-processing Data

    IJIMAI, Vol. 7, Núm. 4, pp. 214-224

2021

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

    Data and Knowledge Engineering, Vol. 133

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

    Scientific Programming, Vol. 2021

  3. The bdpar Package: Big Data Pipelining Architecture for R

    R Journal, Vol. 13, Núm. 1, pp. 130-144

2020

  1. Using natural language preprocessing architecture (NLPA) for big data text sources

    Scientific Programming, Vol. 2020

2019

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

    Scientific Programming, Vol. 2019

  2. A multiple classifier system identifies novel cannabinoid CB2 receptor ligands

    Journal of Cheminformatics, Vol. 11, Núm. 1

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

    Applied Soft Computing Journal, Vol. 76, pp. 89-104

  4. Improving the drug discovery process by using multiple classifier systems

    Expert Systems with Applications, Vol. 121, pp. 292-303

  5. MCS4DD: Multi-Clustering Scheme for drug discovery process

    Proxectos INOU 2018: investigación aplicada na provincia de Ourense (Universidade de Vigo), pp. 107-124

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

2017

  1. Evolutionary multi-objective scheduling for anti-spam filtering throughput optimization

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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