
JOSÉ ALBERTO
BENÍTEZ ANDRADES
Profesor Titular de Universidad
Publications (20) JOSÉ ALBERTO BENÍTEZ ANDRADES publications View referenced research data.
2024
-
Analysis and Detection of Melanoma through Collective Intelligence with AI
Proceedings - IEEE Symposium on Computer-Based Medical Systems
-
Application of machine learning algorithms in classifying postoperative success in metabolic bariatric surgery: Acomprehensive study
Digital Health, Vol. 10
-
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
-
Machine Learning in Predicting the Success of Spine Surgery: A Multivariable Study
Proceedings - IEEE Symposium on Computer-Based Medical Systems
-
The Applications of Artificial Intelligence for Assessing Fall Risk: Systematic Review
Journal of medical Internet research, Vol. 26, pp. e54934
2023
-
A generalized decision tree ensemble based on the NeuralNetworks architecture: Distributed Gradient Boosting Forest (DGBF)
Applied Intelligence, Vol. 53, Núm. 19, pp. 22991-23003
-
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
-
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
-
Heart disease risk prediction using deep learning techniques with feature augmentation
Multimedia Tools and Applications, Vol. 82, Núm. 20, pp. 31759-31773
-
Multispecies bird sound recognition using a fully convolutional neural network
Applied Intelligence, Vol. 53, Núm. 20, pp. 23287-23300
2022
-
Detecting racism and xenophobia using deep learning models on Twitter data: CNN, LSTM and BERT
PeerJ Computer Science, Vol. 8
-
Implementing local-explainability in Gradient Boosting Trees: Feature Contribution
Information Sciences, Vol. 589, pp. 199-212
-
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)
-
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
-
BERT model-based approach for detecting categories of tweets in the field of eating disorders (ED)
Proceedings - IEEE Symposium on Computer-Based Medical Systems
-
Diabetes detection using deep learning techniques with oversampling and feature augmentation
Computer Methods and Programs in Biomedicine, Vol. 202
-
Sentiment analysis in non-fixed length audios using a Fully Convolutional Neural Network
Biomedical Signal Processing and Control, Vol. 69
2020
-
An ontology-based multi-domain model in social network analysis: Experimental validation and case study
Information Sciences, Vol. 540, pp. 390-413
-
Detecting respiratory pathologies using convolutional neural networks and variational autoencoders for unbalancing data
Sensors (Switzerland), Vol. 20, Núm. 4
2019
-
A FIPA-compliant framework for integrating rule engines into software agents for supporting communication and collaboration in a multiagent platform
Advances in Intelligent Systems and Computing