Publicaciones en las que colabora con Mª TERESA GARCÍA ORDÁS (34)

2024

  1. 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

  2. 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

  1. A generalized decision tree ensemble based on the NeuralNetworks architecture: Distributed Gradient Boosting Forest (DGBF)

    Applied Intelligence, Vol. 53, Núm. 19, pp. 22991-23003

  2. 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

  3. 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

  4. Comparative Analysis of Intelligent Techniques for Categorization of the Operational Status of LiFePo4 Batteries

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

  5. 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

  6. Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts

    Semantic Web, pp. 1-20

  7. Heart disease risk prediction using deep learning techniques with feature augmentation

    Multimedia Tools and Applications, Vol. 82, Núm. 20, pp. 31759-31773

  8. Multispecies bird sound recognition using a fully convolutional neural network

    Applied Intelligence, Vol. 53, Núm. 20, pp. 23287-23300

  9. Survival and grade of the glioma prediction using transfer learning

    PeerJ Computer Science, Vol. 9

  10. 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

  1. BERT Model-Based Approach for Detecting Racism and Xenophobia on Twitter Data

    Metadata and Semantic Research, pp. 148-158

  2. Detecting racism and xenophobia using deep learning models on Twitter data: CNN, LSTM and BERT

    PeerJ Computer Science, Vol. 8

  3. Detection of the most influential variables for preventing postpartum urinary incontinence using machine learning techniques

    Digital Health, Vol. 8

  4. Implementing local-explainability in Gradient Boosting Trees: Feature Contribution

    Information Sciences, Vol. 589, pp. 199-212

  5. Minimum cost Eulerian cycles in road networks

    Iberian Conference on Information Systems and Technologies, CISTI

  6. 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)

  7. 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

  1. BERT model-based approach for detecting categories of tweets in the field of eating disorders (ED)

    Proceedings - IEEE Symposium on Computer-Based Medical Systems