María Teresa García-Ordás
Orcid: 0000-0002-3796-3949
According to our database1,
María Teresa García-Ordás
authored at least 56 papers
between 2011 and 2024.
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Bibliography
2024
Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing.
Health Inf. Sci. Syst., December, 2024
Determining the severity of Parkinson's disease in patients using a multi task neural network.
Multim. Tools Appl., January, 2024
Evaluation of Country Dietary Habits Using Machine Learning Techniques in Relation to Deaths from COVID-19.
CoRR, 2024
Detection of the most influential variables for preventing postpartum urinary incontinence using machine learning techniques.
CoRR, 2024
Combining shape and contour features to improve tool wear monitoring in milling processes.
CoRR, 2024
Tool wear monitoring using an online, automatic and low cost system based on local texture.
CoRR, 2024
Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study.
CoRR, 2024
A comparative study on feature selection for a risk prediction model for colorectal cancer.
CoRR, 2024
Adolescent relational behaviour and the obesity pandemic: A descriptive study applying social network analysis and machine learning techniques.
CoRR, 2024
2023
Convolutional neural networks for accurate identification of mining remains from UAV-derived images.
Appl. Intell., December, 2023
Appl. Intell., October, 2023
A generalized decision tree ensemble based on the NeuralNetworks architecture: Distributed Gradient Boosting Forest (DGBF).
Appl. Intell., October, 2023
Imputation of missing measurements in PV production data within constrained environments.
Expert Syst. Appl., May, 2023
Clustering Techniques Selection for a Hybrid Regression Model: A Case Study Based on a Solar Thermal System.
Cybern. Syst., April, 2023
Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts.
Semantic Web, 2023
PeerJ Comput. Sci., 2023
Heart disease risk prediction using deep learning techniques with feature augmentation.
Multim. Tools Appl., 2023
A Granularity Invariant Method for the Classification of Energy Production Time Series in Photovoltaic Plants.
IEEE Access, 2023
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023
Comparative Analysis of Intelligent Techniques for Categorization of the Operational Status of LiFePo4 Batteries.
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023
Proceedings of the Distributed Computing and Artificial Intelligence, Special Sessions II, 2023
Early Detection of Autism Spectrum Disorder through AI-Powered Analysis of Social Media Texts.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
2022
Detecting racism and xenophobia using deep learning models on Twitter data: CNN, LSTM and BERT.
PeerJ Comput. Sci., 2022
Inf. Sci., 2022
Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022
2021
Enriched multi-agent middleware for building rule-based distributed security solutions for IoT environments.
J. Supercomput., 2021
Diabetes detection using deep learning techniques with oversampling and feature augmentation.
Comput. Methods Programs Biomed., 2021
Middleware-based multi-agent development environment for building and testing distributed intelligent systems.
Clust. Comput., 2021
Sentiment analysis in non-fixed length audios using a Fully Convolutional Neural Network.
Biomed. Signal Process. Control., 2021
Proceedings of the Metadata and Semantic Research - 15th International Conference, 2021
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021
Proceedings of the 14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021), 2021
Detection of Denial of Service Attacks in an MQTT Environment Using a One-Class Approach.
Proceedings of the 14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021), 2021
BERT Model-Based Approach For Detecting Categories of Tweets in the Field of Eating Disorders (ED).
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
2020
Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data.
Sensors, 2020
Feasibility of Social-Network-Based eHealth Intervention on the Improvement of Healthy Habits among Children.
Sensors, 2020
Analyzing IoT-Based Botnet Malware Activity with Distributed Low Interaction Honeypots.
Proceedings of the Trends and Innovations in Information Systems and Technologies, 2020
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020
Proceedings of the Intelligent Environments 2020, 2020
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020
A Solar Thermal System Temperature Prediction of a Smart Building for Data Recovery and Security Purposes.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020
Comparative of Clustering Techniques for Academic Advice and Performance Measurement.
Proceedings of the 11th International Conference on EUropean Transnational Educational, 2020
Clustering Techniques Performance Analysis for a Solar Thermal Collector Hybrid Model Implementation.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020
2019
A comparative study on feature selection for a risk prediction model for colorectal cancer.
Comput. Methods Programs Biomed., 2019
2018
Combining shape and contour features to improve tool wear monitoring in milling processes.
Int. J. Prod. Res., 2018
2017
Proceedings of the International Joint Conference SOCO'17-CISIS'17-ICEUTE'17, 2017
2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
2013
Adaptive local binary pattern with oriented standard deviation (ALBPS) for texture classification.
EURASIP J. Image Video Process., 2013
Evaluation of Different Metrics for Shape Based Image Retrieval Using a New Contour Points Descriptor.
Proceedings of the Similarity Search and Applications - 6th International Conference, 2013
Proceedings of the Similarity Search and Applications - 6th International Conference, 2013
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013
2012
Texture and moments-based classification of the acrosome integrity of boar spermatozoa images.
Comput. Methods Programs Biomed., 2012
Proceedings of the Image Analysis and Recognition - 9th International Conference, 2012
Proceedings of the Computer Vision - ACCV 2012 Workshops, 2012
2011
Vitality Assessment of Boar Sperm Using N Concentric Squares Resized (NCSR) Texture Descriptor in Digital Images.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011