JOSÉ ALBERTO
BENÍTEZ ANDRADES
Profesor Titular de Universidad
Mª TERESA
GARCÍA ORDÁS
Profesor Titular de Universidad
Publicaciones en las que colabora con Mª TERESA GARCÍA ORDÁS (31)
2024
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Determining the severity of Parkinson’s disease in patients using a multi task neural network
Multimedia Tools and Applications, Vol. 83, Núm. 2, pp. 6077-6092
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Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing
Health Information Science and Systems, Vol. 12, Núm. 1
2023
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A generalized decision tree ensemble based on the NeuralNetworks architecture: Distributed Gradient Boosting Forest (DGBF)
Applied Intelligence, Vol. 53, Núm. 19, pp. 22991-23003
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Adolescent relational behaviour and the obesity pandemic: A descriptive study applying social network analysis and machine learning techniques
PloS one, Vol. 18, Núm. 8, pp. e0289553
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Clustering Techniques Selection for a Hybrid Regression Model: A Case Study Based on a Solar Thermal System
Cybernetics and Systems, Vol. 54, Núm. 3, pp. 286-305
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Early Detection of Autism Spectrum Disorder through AI-Powered Analysis of Social Media Texts
2023 IEEE 36TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, CBMS
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Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts
Semantic Web, pp. 1-20
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Heart disease risk prediction using deep learning techniques with feature augmentation
Multimedia Tools and Applications, Vol. 82, Núm. 20, pp. 31759-31773
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Multispecies bird sound recognition using a fully convolutional neural network
Applied Intelligence, Vol. 53, Núm. 20, pp. 23287-23300
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Survival and grade of the glioma prediction using transfer learning
PeerJ Computer Science, Vol. 9
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Text Classification of Users Claiming to Have ASD Using Traditional Machine Learning Techniques
Springer Proceedings in Earth and Environmental Sciences (Springer Nature), pp. 202-208
2022
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BERT Model-Based Approach for Detecting Racism and Xenophobia on Twitter Data
Metadata and Semantic Research, pp. 148-158
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Detecting racism and xenophobia using deep learning models on Twitter data: CNN, LSTM and BERT
PeerJ Computer Science, Vol. 8
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Detection of the most influential variables for preventing postpartum urinary incontinence using machine learning techniques
Digital Health, Vol. 8
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Implementing local-explainability in Gradient Boosting Trees: Feature Contribution
Information Sciences, Vol. 589, pp. 199-212
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Minimum cost Eulerian cycles in road networks
Iberian Conference on Information Systems and Technologies, CISTI
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Roadway Detection Using Convolutional Neural Network Through Camera and LiDAR Data
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study
JMIR Medical Informatics, Vol. 10, Núm. 2
2021
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BERT model-based approach for detecting categories of tweets in the field of eating disorders (ED)
Proceedings - IEEE Symposium on Computer-Based Medical Systems
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Comparative Analysis of Clustering Techniques for a Hybrid Model Implementation
Advances in Intelligent Systems and Computing