Gloria Díaz

Orcid: 0000-0003-1028-9111

According to our database1, Gloria Díaz authored at least 27 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Early-to-Late Prediction of DCE-MRI Contrast-Enhanced Images in Using Generative Adversarial Networks.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2020
A Novel Method for Objective Selection of Information Sources Using Multi-Kernel SVM and Local Scaling.
Sensors, 2020

Integration of Machine Learning Models in PACS Systems to Support Diagnostic in Radiology Services.
Proceedings of the Applied Computer Sciences in Engineering, 2020

Characterizing ResNet Filters to Identify Positive and Negative Findings in Breast MRI Sequences.
Proceedings of the Applied Computer Sciences in Engineering, 2020

2019
Breast Lesion Discrimination Using Saliency Features from MRI Sequences and MKL-Based Classification.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

Multiple Kernel Learning Applied to the Prediction of Prostate Cancer Recurrence from MRI Radiomic Features.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2018
Parametric Facial Animation for Affective Interaction Workflow for Avatar Retargeting.
Proceedings of the 1st Workshop on Behavioral Change and Ambient Intelligence for Sustainability, 2018

Feature Group Selection Using MKL Penalized with \ell _1 ℓ 1 -norm and SVM as Base Learner.
Proceedings of the Applied Computer Sciences in Engineering, 2018

A Real-Time Research Platform for Intent Pattern Recognition: Implementation, Validation and Application.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018

Deep Convolutional Neural Networks and Power Spectral Density Features for Motor Imagery Classification of EEG Signals.
Proceedings of the Augmented Cognition: Intelligent Technologies, 2018

Deep Learning Based Video Spatio-Temporal Modeling for Emotion Recognition.
Proceedings of the Human-Computer Interaction. Theories, Methods, and Human Issues, 2018

Speech Emotion Recognition Integrating Paralinguistic Features and Auto-encoders in a Deep Learning Model.
Proceedings of the Human-Computer Interaction. Theories, Methods, and Human Issues, 2018

2017
An automatic BI-RADS description of mammographic masses by fusing multiresolution features.
Expert Syst. Appl., 2017

Kushkalla: A Web-Based Platform to Improve Functional Movement Rehabilitation.
Proceedings of the Technologies and Innovation - Third International Conference, 2017

Speech Emotion Recognition Based on a Recurrent Neural Network Classification Model.
Proceedings of the Advances in Computer Entertainment Technology, 2017

2015
Design of a Mobile Application to Support Non-pharmacological Therapies for People with Alzheimer Disease.
Proceedings of the Smart Health - International Conference, 2015

Mobile Cloud Computing as an Alternative for Monitoring Child Mental Disorders.
Proceedings of the Smart Health - International Conference, 2015

2014
Predicting Very Early Stage Mild Cognitive Impairment Based on a Voxel-wise Arterial Spin Labeling Analysis.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014

2012
A content-based retrieval of mammographic masses using the curvelet descriptor.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

2011
Multi-view information fusion for automatic BI-RADS description of mammographic masses.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

2010
Automatic BI-RADS Description of Mammographic Masses.
Proceedings of the Digital Mammography, 2010

Histopathological Image Classification Using Stain Component Features on a pLSA Model.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

The Effect of the Normalization Strategy on Voxel-Based Analysis of DTI Images: A Pattern Recognition Based Assessment.
Proceedings of the Brain Informatics, International Conference, 2010

2009
A semi-automatic method for quantification and classification of erythrocytes infected with malaria parasites in microscopic images.
J. Biomed. Informatics, 2009

Recognition and Quantification of Area Damaged by Oligonychus Perseae in Avocado Leaves.
Proceedings of the Progress in Pattern Recognition, 2009

2007
Infected Cell Identification in Thin Blood Images Based on Color Pixel Classification: Comparison and Analysis.
Proceedings of the Progress in Pattern Recognition, 2007

Automatic Clump Splitting for Cell Quantification in Microscopical Images.
Proceedings of the Progress in Pattern Recognition, 2007


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