Lourdes Borrajo - researchr alias

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Viewing Publication 1 - 21 from 21

2024

Temporal Development GAN (TD-GAN): Crafting More Accurate Image Sequences of Biological DevelopmentPedro Celard, Adrián Seara Vieira, José Manuel Sorribes-Fdez, Eva Lorenzo Iglesias, Lourdes Borrajo. information, 15(1):12, 2024. [doi]

2023

A survey on deep learning applied to medical images: from simple artificial neural networks to generative modelsPedro Celard, Eva Lorenzo Iglesias, José Manuel Sorribes-Fdez, Rubén Romero, A. Seara Vieira, Lourdes Borrajo. nca, 35(3):2291-2323, 2023. [doi]

To Enhance Full-Text Biomedical Document Classification Through Semantic EnrichmentCarlos Adriano Gonçalves, A. Seara Vieira, Célia Talma Gonçalves, Lourdes Borrajo, Rui Camacho, Eva Lorenzo Iglesias. HAIS 2023: 554-565 [doi]

2022

Improving Short Query Representation in LDA Based Information Retrieval SystemsPedro Celard, Eva Lorenzo Iglesias, José Manuel Sorribes-Fdez, Rubén Romero, Adrián Seara Vieira, Lourdes Borrajo. HAIS 2022: 111-122 [doi]

2019

Comparative Study of Feature Selection Methods for Medical Full Text ClassificationCarlos Adriano Gonçalves, Eva Lorenzo Iglesias, Lourdes Borrajo, Rui Camacho, Adrián Seara Vieira, Célia Talma Gonçalves. iwbbio 2019: 550-560 [doi]

2018

LearnSec: A Framework for Full Text AnalysisCarlos Adriano Gonçalves, Eva Lorenzo Iglesias, Lourdes Borrajo, Rui Camacho, A. Seara Vieira, Célia Talma Gonçalves. HAIS 2018: 502-513 [doi]

2015

IPHealth: Plataforma inteligente basada en open, linked y big data para la toma de decisiones y aprendizaje en el ámbito de la saludManuel de Buenaga Rodríguez, Diego Gachet, Manuel J. Maña López, Jacinto Mata Vázquez, Lourdes Borrajo, Eva L. Lorenzo. pdln, 55:161-164, 2015. [doi]

A New Dimensionality Reduction Technique Based on HMM for Boosting Document ClassificationA. Seara Vieira, Eva Lorenzo Iglesias, Lourdes Borrajo. pacbb 2015: 69-77 [doi]

2014

BioClass: A Tool for Biomedical Text ClassificationR. Romero, A. Seara Vieira, Eva Lorenzo Iglesias, Lourdes Borrajo. pacbb 2014: 243-251 [doi]

T-HMM: A Novel Biomedical Text Classifier Based on Hidden Markov ModelsA. Seara Vieira, Eva Lorenzo Iglesias, Lourdes Borrajo. pacbb 2014: 225-234 [doi]

2013

An HMM-based over-sampling technique to improve text classificationEva Lorenzo Iglesias, A. Seara Vieira, Lourdes Borrajo. eswa, 40(18):7184-7192, 2013. [doi]

2012

Applying Lemur Query Expansion Techniques in Biomedical Information RetrievalA. R. Rivas, Lourdes Borrajo, Eva Lorenzo Iglesias, R. Romero. dcai 2012: 403-410 [doi]

A Comparative Analysis of Balancing Techniques and Attribute Reduction AlgorithmsR. Romero, Eva Lorenzo Iglesias, Lourdes Borrajo. pacbb 2012: 87-94 [doi]

2011

2009

Applying Text Mining to Search for Protein PatternsPablo Vicente Carrera, Daniel Glez-Peña, Eva Lorenzo Iglesias, Lourdes Borrajo, Reyes Pavón, Rosalia Laza, Carmen M. Redondo Marey. iwann 2009: 950-953 [doi]

Classification of MedLine Documents Using MeSH TermsDaniel Glez-Peña, Sira López, Reyes Pavón, Rosalia Laza, Eva Lorenzo Iglesias, Lourdes Borrajo. iwann 2009: 926-929 [doi]

2006

http Hunting: An IBR Approach to Filtering Dangerous HTTP TrafficFlorentino Fdez-Riverola, Lourdes Borrajo, Rosalia Laza, Francisco J. Rodríguez, David Martínez. incdm 2006: 91-105 [doi]

2003

Increasing the Autonomy of Deliberative Agents with a Case-Based Reasoning SystemJuan M. Corchado, Rosalia Laza, Lourdes Borrajo, J. C. Yañez A. de Luis, M. Valiño. ijcia, 3(1):101-118, 2003. [doi]

Agent-Based Web EngineeringJuan M. Corchado, Rosalia Laza, Lourdes Borrajo, J. C. Yañez A. de Luis, Manuel González Bedia. ICWE 2003: 17-25 [doi]

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