Vitality Assessment of Boar Sperm Using N Concentric Squares Resized (NCSR) Texture Descriptor in Digital Images. - Enrique Alegre; María Teresa García-Ordás; Víctor González-Castro; S. Karthikeyan 001 (IbPRIA, 2011)

Vitality Assessment of Boar Sperm Using an Adaptive LBP Based on Oriented Deviation. - Oscar García-Olalla; Enrique Alegre; Laura Fernández-Robles; María Teresa García-Ordás (ACCV Workshops (1), 2012)

Curvelet-Based Texture Description to Classify Intact and Damaged Boar Spermatozoa. - Víctor González-Castro; Enrique Alegre; Oscar García-Olalla; Diego García-Ordás; María Teresa García-Ordás; Laura Fernández-Robles (ICIAR (2), 2012)

Texture and moments-based classification of the acrosome integrity of boar spermatozoa images. - Enrique Alegre; Víctor González-Castro; Rocío Alaíz-Rodríguez; María Teresa García-Ordás (Comput. Methods Programs Biomed., 2012)

Automatic Tampering Detection in Spliced Images with Different Compression Levels. - Diego García-Ordás; Laura Fernández-Robles; Enrique Alegre; María Teresa García-Ordás; Oscar García-Olalla (IbPRIA, 2013)

Evaluation of LBP Variants Using Several Metrics and kNN Classifiers. - Oscar García-Olalla; Enrique Alegre; María Teresa García-Ordás; Laura Fernández-Robles (SISAP, 2013)

Evaluation of Different Metrics for Shape Based Image Retrieval Using a New Contour Points Descriptor. - María Teresa García-Ordás; Enrique Alegre; Oscar García-Olalla; Diego García-Ordás (SISAP, 2013)

Adaptive local binary pattern with oriented standard deviation (ALBPS) for texture classification. - Oscar García-Olalla; Enrique Alegre; Laura Fernández-Robles; María Teresa García-Ordás; Diego García-Ordás (EURASIP J. Image Video Process., 2013)

aZIBO: A New Descriptor Based in Shape Moments and Rotational Invariant Features. - María Teresa García-Ordás; Enrique Alegre; Víctor González-Castro; Diego García-Ordás (ICPR, 2014)

Assessing Feature Selection Techniques for a Colorectal Cancer Prediction Model. - Nahúm Cueto-López; Rocío Alaíz-Rodríguez; María Teresa García-Ordás; Carmen González-Donquiles; Vicente Martín (SOCO-CISIS-ICEUTE, 2017)

Combining shape and contour features to improve tool wear monitoring in milling processes. - María Teresa García-Ordás; Enrique Alegre-Gutiérrez; Víctor González-Castro; Rocío Alaíz-Rodríguez (Int. J. Prod. Res., 2018)

A comparative study on feature selection for a risk prediction model for colorectal cancer. - Nahúm Cueto-López; María Teresa García-Ordás; Verónica Dávila-Batista; Víctor Moreno; Nuria Aragonés; Rocío Alaíz-Rodríguez (Comput. Methods Programs Biomed., 2019)

Clustering Techniques Performance Analysis for a Solar Thermal Collector Hybrid Model Implementation. - María Teresa García-Ordás; Héctor Alaiz-Moretón; José Luís Casteleiro-Roca; Esteban Jove; José Alberto Benítez-Andrades; Carmen Benavides-Cuellar; Héctor Quintián; José Luís Calvo-Rolle (HAIS, 2020)

Comparative of Clustering Techniques for Academic Advice and Performance Measurement. - María Teresa García-Ordás; José Antonio López-Vázquez; Héctor Alaiz-Moretón; José Luís Casteleiro-Roca; David Yeregui Marcos del Blanco; Roberto Casado-Vara; José Luís Calvo-Rolle (ICEUTE, 2020)

A Solar Thermal System Temperature Prediction of a Smart Building for Data Recovery and Security Purposes. - José Luís Casteleiro-Roca; María Teresa García-Ordás; Esteban Jove; Francisco Zayas-Gato; Héctor Quintián; Héctor Alaiz-Moretón; José Luís Calvo-Rolle (IDEAL (2), 2020)

Autoencoder Latent Space Influence on IoT MQTT Attack Classification. - María Teresa García-Ordás; Jose Aveleira-Mata; José Luís Casteleiro-Roca; José Luís Calvo-Rolle; Carmen Benavides-Cuellar; Héctor Alaiz-Moretón (IDEAL (2), 2020)

Review and Replication of CoAP and MQTT Attacks for Dataset Generation. - Jose Aveleira-Mata; Armando Ibán-Sánchez; María Teresa García-Ordás; Isaías García-Rodríguez; Héctor Alaiz-Moretón (Intelligent Environments (Workshops), 2020)

Comparative Analysis of Clustering Techniques for a Hybrid Model Implementation. - María Teresa García-Ordás; Héctor Alaiz-Moretón; José Luís Casteleiro-Roca; Esteban Jove; José Alberto Benítez-Andrades; Isaías García-Rodríguez; Héctor Quintián; José Luís Calvo-Rolle (SOCO, 2020)

Analyzing IoT-Based Botnet Malware Activity with Distributed Low Interaction Honeypots. - Sergio Vidal-González; Isaías García-Rodríguez; Héctor Alaiz-Moretón; Carmen Benavides-Cuellar; José Alberto Benítez-Andrades; María Teresa García-Ordás; Paulo Novais (WorldCIST (2), 2020)

Feasibility of Social-Network-Based eHealth Intervention on the Improvement of Healthy Habits among Children. - José Alberto Benítez-Andrades; Natalia Arias; María Teresa García-Ordás; Marta Martínez-Martínez; Isaías García-Rodríguez (Sensors, 2020)

Detecting Respiratory Pathologies Using Convolutional Neural Networks and Variational Autoencoders for Unbalancing Data. - María Teresa García-Ordás; José Alberto Benítez-Andrades; Isaías García-Rodríguez; Carmen Benavides; Héctor Alaiz-Moretón (Sensors, 2020)

BERT Model-Based Approach For Detecting Categories of Tweets in the Field of Eating Disorders (ED). - José Alberto Benítez-Andrades; José-Manuel Alija-Pérez; Isaías García-Rodríguez; Carmen Benavides; Héctor Alaiz-Moretón; Rafael Pastor Vargas; María Teresa García-Ordás (CBMS, 2021)

Detection of Denial of Service Attacks in an MQTT Environment Using a One-Class Approach. - José Aveleira-Mata; Esteban Jove; David Yeregui Marcos del Blanco; María Teresa García-Ordás; Francisco Zayas-Gato; Álvaro Michelena; José Luís Casteleiro-Roca; Héctor Quintián; Héctor Alaiz-Moretón; José Luís Calvo-Rolle (CISIS-ICEUTE, 2021)

Beta Hebbian Learning for Intrusion Detection in Networks of IoT Devices. - Álvaro Michelena Grandío; María Teresa García-Ordás; David Yeregui Marcos del Blanco; José Aveleira-Mata; Francisco Zayas-Gato; Esteban Jove; José Luís Casteleiro-Roca; Héctor Quintián; Héctor Alaiz-Moretón; José Luís Calvo-Rolle (CISIS-ICEUTE, 2021)

Hybrid Model to Calculate the State of Charge of a Battery. - María Teresa García-Ordás; David Yeregui Marcos del Blanco; José Aveleira-Mata; Francisco Zayas-Gato; Esteban Jove; José Luís Casteleiro-Roca; Héctor Quintián; José Luís Calvo-Rolle; Héctor Alaiz-Moretón (HAIS, 2021)

BERT Model-Based Approach for Detecting Racism and Xenophobia on Twitter Data. - José Alberto Benítez-Andrades; Álvaro González-Jiménez; Álvaro López-Brea; Carmen Benavides; Jose Aveleira-Mata; José-Manuel Alija-Pérez; María Teresa García-Ordás (MTSR, 2021)

Sentiment analysis in non-fixed length audios using a Fully Convolutional Neural Network. - María Teresa García-Ordás; Héctor Alaiz-Moretón; José Alberto Benítez-Andrades; Isaías García-Rodríguez; Oscar García-Olalla; Carmen Benavides (Biomed. Signal Process. Control., 2021)

Middleware-based multi-agent development environment for building and testing distributed intelligent systems. - Francisco J. Aguayo-Canela; Héctor Alaiz-Moretón; María Teresa García-Ordás; José Alberto Benítez-Andrades; Carmen Benavides; Paulo Novais; Isaías García-Rodríguez (Clust. Comput., 2021)

Diabetes detection using deep learning techniques with oversampling and feature augmentation. - María Teresa García-Ordás; Carmen Benavides; José Alberto Benítez-Andrades; Héctor Alaiz-Moretón; Isaías García-Rodríguez (Comput. Methods Programs Biomed., 2021)

Enriched multi-agent middleware for building rule-based distributed security solutions for IoT environments. - Francisco J. Aguayo-Canela; Héctor Alaiz-Moretón; María Teresa García-Ordás; José Alberto Benítez-Andrades; Carmen Benavides; Isaías García-Rodríguez (J. Supercomput., 2021)

Roadway Detection Using Convolutional Neural Network Through Camera and LiDAR Data. - Martín Bayón-Gutiérrez; José Alberto Benítez-Andrades; Sergio Rubio-Martín; Jose Aveleira-Mata; Héctor Alaiz-Moretón; María Teresa García-Ordás (HAIS, 2022)

Implementing local-explainability in Gradient Boosting Trees: Feature Contribution. - Ángel Delgado-Panadero; Beatriz Hernández-Lorca; María Teresa García-Ordás; José Alberto Benítez-Andrades (Inf. Sci., 2022)

Detecting racism and xenophobia using deep learning models on Twitter data: CNN, LSTM and BERT. - José Alberto Benítez-Andrades; Álvaro González-Jiménez; Álvaro López-Brea; Jose Aveleira-Mata; José-Manuel Alija-Pérez; María Teresa García-Ordás (PeerJ Comput. Sci., 2022)

Early Detection of Autism Spectrum Disorder through AI-Powered Analysis of Social Media Texts. - Sergio Rubio-Martín; María Teresa García-Ordás; Martín Bayón-Gutiérrez; Natalia Prieto-Fernández; José Alberto Benítez-Andrades (CBMS, 2023)

Impact of Autoencoder Latent Space on IoT CoAP Attack Categorization. - María Teresa García-Ordás; Jose Aveleira-Mata; Isaías García-Rodríguez; Antonio Javier Díaz-Longueira; José Luís Calvo-Rolle; Héctor Alaiz-Moretón (DCAI (3), 2023)

Comparative Analysis of Intelligent Techniques for Categorization of the Operational Status of LiFePo4 Batteries. - Antonio Díaz-Longueira; Álvaro Michelena; Míriam Timiraos; Francisco Zayas-Gato; Héctor Quintián; Carmen Benavides-Cuellar; Héctor Alaiz-Moretón; José Luís Calvo-Rolle; María Teresa García-Ordás (HAIS, 2023)

One-Class Reconstruction Methods for Categorizing DoS Attacks on CoAP. - Álvaro Michelena; Antonio Díaz-Longueira; Míriam Timiraos; Esteban Jove; Jose Aveleira-Mata; Isaías García-Rodríguez; María Teresa García-Ordás; José Luís Calvo-Rolle; Héctor Alaiz-Moretón (HAIS, 2023)

Machine Learning Based System for Detecting Battery State-of-Health. - Álvaro Michelena; Antonio Díaz-Longueira; Míriam Timiraos; Francisco Zayas-Gato; Héctor Quintián; Natalia Prieto-Fernández; Héctor Alaiz-Moretón; José Luís Calvo-Rolle; María Teresa García-Ordás (SOCO (1), 2023)

A Granularity Invariant Method for the Classification of Energy Production Time Series in Photovoltaic Plants. - Iván De-Paz-Centeno; María Teresa García-Ordás; Oscar García-Olalla; Carlos Girón-Casares; Héctor Alaiz-Moretón (IEEE Access, 2023)

Heart disease risk prediction using deep learning techniques with feature augmentation. - María Teresa García-Ordás; Martín Bayón-Gutiérrez; Carmen Benavides; Jose Aveleira-Mata; José Alberto Benítez-Andrades (Multim. Tools Appl., 2023)

Survival and grade of the glioma prediction using transfer learning. - Santiago Valbuena Rubio; María Teresa García-Ordás; Oscar García-Olalla Olivera; Héctor Alaiz-Moretón; María-Inmaculada González-Alonso; José Alberto Benítez-Andrades (PeerJ Comput. Sci., 2023)

Empowering machine learning models with contextual knowledge for enhancing the detection of eating disorders in social media posts. - José Alberto Benítez-Andrades; María Teresa García-Ordás; Mayra Russo; Ahmad Sakor; Luis Daniel Fernandes Rotger; Maria-Esther Vidal (Semantic Web, 2023)

Clustering Techniques Selection for a Hybrid Regression Model: A Case Study Based on a Solar Thermal System. - María Teresa García-Ordás; Héctor Alaiz-Moretón; José Luís Casteleiro-Roca; Esteban Jove; José Alberto Benítez-Andrades; Isaías García-Rodríguez; Héctor Quintián; José Luís Calvo-Rolle (Cybern. Syst., 2023)

Imputation of missing measurements in PV production data within constrained environments. - Iván De-Paz-Centeno; María Teresa García-Ordás; Oscar García-Olalla; Héctor Alaiz-Moretón (Expert Syst. Appl., 2023)

A generalized decision tree ensemble based on the NeuralNetworks architecture: Distributed Gradient Boosting Forest (DGBF). - Ángel Delgado-Panadero; José Alberto Benítez-Andrades; María Teresa García-Ordás (Appl. Intell., 2023)

Multispecies bird sound recognition using a fully convolutional neural network. - María Teresa García-Ordás; Sergio Rubio-Martín; José Alberto Benítez-Andrades; Héctor Alaiz-Moretón; Isaías García-Rodríguez (Appl. Intell., 2023)

Convolutional neural networks for accurate identification of mining remains from UAV-derived images. - Daniel Fernández-Alonso; Javier Fernández-Lozano; María Teresa García-Ordás (Appl. Intell., 2023)

A Comparative Analysis of Algorithms and Metrics to Perform Clustering. - Manuel Rubiños; Antonio Díaz-Longueira; Míriam Timiraos; Álvaro Michelena; María Teresa García-Ordás; Héctor Alaiz-Moretón (DCAI (4), 2024)

Missing Meteorological Data Imputation for Mini Eolic Electrical Power Prediction. - María Teresa García-Ordás; Antonio Díaz-Longueira; Álvaro Michelena; Esteban Jove; Martín Bayón-Gutiérrez; Héctor Alaiz-Moretón (HAIS (2), 2024)

DoS Attack Detection and Identification over Zigbee Environments Using Supervised Classification Algorithms. - Lawrence Nforh Chesuh; Álvaro Michelena; Jose Aveleira-Mata; María Teresa García-Ordás; Francisco Zayas-Gato; Esteban Jove; Héctor Alaiz-Moretón (ISAmI, 2024)

Feature Importance Analysis of Meteorological Weather for Mini Eolic Electrical Power Prediction Using Clustering Information. - María Teresa García-Ordás; Paula Arcano-Bea; Manuel Rubiños; Esteban Jove; Diego Narciandi-Rodriguez; Héctor Alaiz-Moretón (SOCO (2), 2024)

Adolescent relational behaviour and the obesity pandemic: A descriptive study applying social network analysis and machine learning techniques. - Pilar Marqués-Sánchez; María Cristina Martínez-Fernández; José Alberto Benítez-Andrades; Enedina Quiroga-Sánchez; María Teresa García-Ordás; Natalia Arias-Ramos (CoRR, 2024)

A comparative study on feature selection for a risk prediction model for colorectal cancer. - Nahúm Cueto-López; María Teresa García-Ordás; Verónica Dávila-Batista; V. Moreno; Nuria Aragonés; Rocío Alaíz-Rodríguez (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. - José Alberto Benítez-Andrades; José-Manuel Alija-Pérez; Maria-Esther Vidal; Rafael Pastor Vargas; María Teresa García-Ordás (CoRR, 2024)

Tool wear monitoring using an online, automatic and low cost system based on local texture. - María Teresa García-Ordás; Enrique Alegre-Gutiérrez; Rocío Alaíz-Rodríguez; Víctor González-Castro (CoRR, 2024)

Combining shape and contour features to improve tool wear monitoring in milling processes. - María Teresa García-Ordás; Enrique Alegre-Gutiérrez; Victor González-Castro; Rocío Alaíz-Rodríguez (CoRR, 2024)

Detection of the most influential variables for preventing postpartum urinary incontinence using machine learning techniques. - José Alberto Benítez-Andrades; María Teresa García-Ordás; María Álvarez-González; Raquel Leirós-Rodríguez; Ana F. López Rodríguez (CoRR, 2024)

Evaluation of Country Dietary Habits Using Machine Learning Techniques in Relation to Deaths from COVID-19. - María Teresa García-Ordás; Natalia Arias; Carmen Benavides; Oscar García-Olalla; José Alberto Benítez-Andrades (CoRR, 2024)

TEDNet: Twin Encoder Decoder Neural Network for 2D Camera and LiDAR Road Detection. - Martín Bayón-Gutiérrez; María Teresa García-Ordás; Héctor Alaiz-Moretón; Jose Aveleira-Mata; Sergio Rubio-Martín; José Alberto Benítez-Andrades (CoRR, 2024)

Clustering techniques performance comparison for predicting the battery state of charge: A hybrid model approach. - María Teresa García-Ordás; David Yeregui Marcos del Blanco; José Aveleira-Mata; Francisco Zayas-Gato; Esteban Jove; José Luís Casteleiro-Roca; Héctor Quintián; José Luís Calvo-Rolle; Héctor Alaiz-Moretón (Log. J. IGPL, 2024)

Beta Hebbian Learning for intrusion detection in networks with MQTT Protocols for IoT devices. - Álvaro Michelena; María Teresa García-Ordás; José Aveleira-Mata; David Yeregui Marcos del Blanco; Míriam Timiraos Díaz; Francisco Zayas-Gato; Esteban Jove; José Luís Casteleiro-Roca; Héctor Quintián; Héctor Alaiz-Moretón; José Luís Calvo-Rolle (Log. J. IGPL, 2024)

Determining the severity of Parkinson's disease in patients using a multi task neural network. - María Teresa García-Ordás; José Alberto Benítez-Andrades; Jose Aveleira-Mata; José-Manuel Alija-Pérez; Carmen Benavides (Multim. Tools Appl., 2024)

Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing. - Sergio Rubio-Martín; María Teresa García-Ordás; Martín Bayón-Gutiérrez; Natalia Prieto-Fernández; José Alberto Benítez-Andrades (Health Inf. Sci. Syst., 2024)

Fine-Tuning Transformer Models for Structuring Spanish Psychiatric Clinical Notes. - Sergio Rubio-Martín; Arturo Crespo-Álvaro; María Teresa García-Ordás; Antonio Serrano-García; Clara Margarita Franch-Pato; José Alberto Benítez-Andrades (CBMS, 2025)

AI-Driven Survival Prediction in Pancreatic Cancer. - Sergio Rubio-Martín; María Teresa García-Ordás; David Corral Fontecha; Laura López-González; Gonzalo Alonso-Oláiz; Arturo Crespo-Álvaro; José Alberto Benítez-Andrades (CBMS, 2025)

A cybersecurity review in IoT 5G networks. - Diego Narciandi-Rodriguez; Jose Aveleira-Mata; María Teresa García-Ordás; Javier Alfonso-Cendón; Carmen Benavides; Héctor Alaiz-Moretón (Internet Things, 2025)

Classification of psychiatry clinical notes by diagnosis: a deep learning and machine learning approach. - Sergio Rubio-Martín; María Teresa García-Ordás; Antonio Serrano-García; Clara Margarita Franch-Pato; Arturo Crespo-Álvaro; José Alberto Benítez-Andrades (PeerJ Comput. Sci., 2025)

CAD2SLAM: Adaptive Projection Between CAD Blueprints and SLAM Maps. - Martín Bayón-Gutiérrez; Natalia Prieto-Fernández; María Teresa García-Ordás; José Alberto Benítez-Andrades; Héctor Alaiz-Moretón; Giorgio Grisetti (IEEE Robotics Autom. Lett., 2025)