Publicacións nas que colabora con EVA MARIA LORENZO IGLESIAS (23)

2023

  1. A survey on deep learning applied to medical images: from simple artificial neural networks to generative models

    Neural Computing and Applications, Vol. 35, Núm. 3, pp. 2291-2323

  2. Study on Synthetic Video Generation of Embryo Development

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

  3. To Enhance Full-Text Biomedical Document Classification Through Semantic Enrichment

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

2022

  1. A Novel Multi-View Ensemble Learning Architecture to Improve the Structured Text Classification

    Information (Switzerland), Vol. 13, Núm. 6

  2. Improving Short Query Representation in LDA Based Information Retrieval Systems

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

  3. MobyDeep: A lightweight CNN architecture to configure models for text classification

    Knowledge-Based Systems, Vol. 257

2021

  1. A query expansion method using multinomial naive bayes

    Applied Sciences (Switzerland), Vol. 11, Núm. 21

  2. Classification of full text biomedical documents: Sections importance assessment

    Applied Sciences (Switzerland), Vol. 11, Núm. 6

2019

  1. Comparative Study of Feature Selection Methods for Medical Full Text Classification

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

2018

  1. LearnSec: A framework for full text analysis

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

2016

  1. An HMM-based multi-view co-training framework for single-view text corpora

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

  2. An HMM-based text classifier less sensitive to document management problems

    Current Bioinformatics, Vol. 11, Núm. 5, pp. 503-514

  3. Improving the text classification using clustering and a novel HMM to reduce the dimensionality

    Computer Methods and Programs in Biomedicine, Vol. 136, pp. 119-130

2015

  1. A new dimensionality reduction technique based on HMM for boosting document classification

    Advances in Intelligent Systems and Computing

  2. TCBR-HMM: An HMM-based text classifier with a CBR system

    Applied Soft Computing Journal, Vol. 26, pp. 463-473

2014

  1. A HMM text classification model with learning capacity

    ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, Vol. 3, Núm. 3, pp. 21-34