![Foto de JOSE RAMON](/img/nophoto.png)
JOSE RAMON
MENDEZ REBOREDO
CATEDRATICO/A DE UNIVERSIDAD TC
Argitalpenak (79) JOSE RAMON MENDEZ REBOREDO argitalpenak
2023
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Alnus Airborne Pollen Trends during the Last 26 Years for Improving Machine Learning-Based Forecasting Methods
Forests, Vol. 14, Núm. 8
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Improvements for research data repositories: The case of text spam
Journal of Information Science, Vol. 49, Núm. 2, pp. 285-301
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Multi-objective evolutionary optimization for dimensionality reduction of texts represented by synsets
PeerJ Computer Science, Vol. 9, pp. e1240
2022
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Automatic knowledge exchange between ontologies and semantic graphs
Journal of Information Science
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Detección automática de momentos de risco alérxico da poboación ourensá
Proxectos INOU 2021: Investigación aplicada na provincia de Ourense (Vicerreitoría do Campus de Ourense), pp. 75-97
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Enhancing representation in the context of multiple-channel spam filtering
Information Processing and Management, Vol. 59, Núm. 2
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Using Live Spam Beater (LiSB) Framework for Spam Filtering during SMTP Transactions
Applied Sciences (Switzerland), Vol. 12, Núm. 20
2021
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An ontology knowledge inspection methodology for quality assessment and continuous improvement
Data and Knowledge Engineering, Vol. 133
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Novel Tools for the Management, Representation, and Exploitation of Textual Information
Scientific Programming, Vol. 2021
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The bdpar Package: Big Data Pipelining Architecture for R
R Journal, Vol. 13, Núm. 1, pp. 130-144
2020
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Ontology fixing by using software engineering technology
Applied Sciences (Switzerland), Vol. 10, Núm. 18
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SDRS: A new lossless dimensionality reduction for text corpora
Information Processing and Management, Vol. 57, Núm. 4
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Using natural language preprocessing architecture (NLPA) for big data text sources
Scientific Programming, Vol. 2020
2019
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A Practical Approach to Protect IoT Devices against Attacks and Compile Security Incident Datasets
Scientific Programming, Vol. 2019
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A multiple classifier system identifies novel cannabinoid CB2 receptor ligands
Journal of Cheminformatics, Vol. 11, Núm. 1
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A new semantic-based feature selection method for spam filtering
Applied Soft Computing Journal, Vol. 76, pp. 89-104
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Improving the drug discovery process by using multiple classifier systems
Expert Systems with Applications, Vol. 121, pp. 292-303
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