Data Selection to Improve Anomaly Detection in a Component-Based Robot. - Nuño Basurto; Álvaro Herrero 001 (SOCO, 2019)

A Hybrid Intelligent System to forecast solar energy production. - Nuño Basurto; Ángel Arroyo; Rafael Vega Vega; Héctor Quintián; José Luís Calvo-Rolle; Álvaro Herrero 001 (Comput. Electr. Eng., 2019)

Delving into Android Malware Families with a Novel Neural Projection Method. - Rafael Vega Vega; Héctor Quintián; Carlos Cambra 001; Nuño Basurto; Álvaro Herrero 001; José Luís Calvo-Rolle (Complex., 2019)

AI-driven Visualizations for Performance Monitoring and Anomaly Detection in Robots. - Nuño Basurto; Carlos Cambra 001; Álvaro Herrero 001 (AICCSA, 2020)

Clustering and Regression to Impute Missing Values of Robot Performance. - Ángel Arroyo; Nuño Basurto; Carlos Cambra 001; Álvaro Herrero 001 (HAIS, 2020)

Detecting Performance Anomalies in the Multi-component Software a Collaborative Robot. - Héctor Quintián; Esteban Jove; José Luís Calvo-Rolle; Nuño Basurto; Carlos Cambra 001; Álvaro Herrero 001; Emilio Corchado (IDEAL (2), 2020)

Advanced Oversampling for Improved Detection of Software Anomalies in a Robot. - Nuño Basurto; Michal Wozniak 001; Carlos Cambra 001; Álvaro Herrero 001 (SOCO, 2020)

Data Balancing to Improve Prediction of Project Success in the Telecom Sector. - Nuño Basurto; Alfredo Jiménez; Secil Bayraktar; Álvaro Herrero 001 (SOCO, 2020)

Imputation of Missing Values Affecting the Software Performance of Component-based Robots. - Nuño Basurto; Ángel Arroyo; Carlos Cambra 001; Álvaro Herrero 001 (Comput. Electr. Eng., 2020)

Advanced 3D Visualization of Android Malware Families. - Nuño Basurto; Héctor Quintián; Daniel Urda; José Luís Calvo-Rolle; Álvaro Herrero 001; Emilio Corchado (CISIS-ICEUTE, 2021)

A Hybrid Intelligent System to Detect Anomalies in Robot Performance. - Nuño Basurto; Ángel Arroyo; Carlos Cambra 001; Álvaro Herrero 001 (HAIS, 2021)

Visually Monitoring the Performance of a Component-Based Robot. - Nuño Basurto; Carlos Cambra 001; Álvaro Herrero 001 (SOCO, 2021)

Improving the detection of robot anomalies by handling data irregularities. - Nuño Basurto; Carlos Cambra 001; Álvaro Herrero 001 (Neurocomputing, 2021)

Dimensionality-Reduction Methods for the Analysis of Web Traffic. - Nuño Basurto; Álvaro Michelena; Daniel Urda; Héctor Quintián; José Luís Calvo-Rolle; Álvaro Herrero 001 (CISIS-ICEUTE, 2022)

Evaluating Classifiers' Performance to Detect Attacks in Website Traffic. - Daniel Urda; Nuño Basurto; Meelis Kull; Álvaro Herrero 001 (CISIS-ICEUTE, 2022)

A HAIS Approach to Predict the Energy Produced by a Solar Panel. - Ángel Arroyo; Héctor Quintián; José Luís Calvo-Rolle; Nuño Basurto; Álvaro Herrero 001 (HAIS, 2022)

Regression Techniques to Predict the Growth of Potato Tubers. - Ángel Arroyo; Carlos Cambra 001; Nuño Basurto; Carlos Rad; Milagros Navarro; Álvaro Herrero 001 (SOCO, 2022)

Machine Learning to Predict Recommendation by Tourists in a Spanish Province. - Santiago Aparicio Castillo; Nuño Basurto Hornillos; Pablo Arranz-Val; Paula Antón Maraña; Álvaro Herrero Cosío (Int. J. Inf. Technol. Decis. Mak., 2022)

A visual tool for monitoring and detecting anomalies in robot performance. - Nuño Basurto; Carlos Cambra 001; Álvaro Herrero 001 (Pattern Anal. Appl., 2022)

Benchmarking Classifiers for DDoS Attack Detection in Industrial IoT Networks. - Marcos Severt; Roberto Casado-Vara; Ángel Martín del Rey; Nuño Basurto; Daniel Urda; Álvaro Herrero 001 (CISIS-ICEUTE, 2023)

Convolutional Neural Networks for Diabetic Retinopathy Grading from iPhone Fundus Images. - Samuel Lozano-Juárez; Nuria Velasco-Pérez; Ian Roberts; Jerónimo Bernal; Nuño Basurto; Daniel Urda; Álvaro Herrero 001 (HAIS, 2023)

Defect Detection in Batavia Woven Fabrics by Means of Convolutional Neural Networks. - Nuria Velasco-Pérez; Samuel Lozano-Juárez; Beatriz Gil-Arroyo; Juan Marcos Sanz; Nuño Basurto; Daniel Urda; Álvaro Herrero 001 (SOCO (2), 2023)

A hybrid machine learning system to impute and classify a component-based robot. - Nuño Basurto; Ángel Arroyo; Carlos Cambra 001; Álvaro Herrero 001 (Log. J. IGPL, 2023)

Improving the Prediction of Project Success in the Telecom Sector by Means of Advanced Data Balancing. - Nuño Basurto; Alfredo Jiménez; Secil Bayraktar; Álvaro Herrero 001 (Cybern. Syst., 2023)

A Computer Vision Approach to Detect Facial Characteristics Related to Encephalopathy in Term Infants. - Nuria Velasco-Pérez; Samuel Lozano-Juárez; Lucía Núñez-Calvo; Nuño Basurto; Juan Arnaez; Daniel Urda (HAIS (1), 2024)

Human Detection in Images Captured by UAVs in Natural Environments. - Félix De Miguel; David Caubilla; Carlos Cambra 001; Nuño Basurto; Daniel Urda; Álvaro Herrero 001 (SOCO (1), 2024)

Enhancing web traffic attacks identification through ensemble methods and feature selection. - Daniel Urda; Branly Martínez; Nuño Basurto; Meelis Kull; Ángel Arroyo; Álvaro Herrero 001 (CoRR, 2024)

Beta-Hebbian Learning to enhance unsupervised exploratory visualizations of Android malware families. - Nuño Basurto; Diego García-Prieto; Héctor Quintián; Daniel Urda; José Luís Calvo-Rolle; Emilio Corchado (Log. J. IGPL, 2024)

A Hybrid Intelligent Modeling approach for predicting the solar thermal panel energy production. - Ángel Arroyo; Nuño Basurto; Roberto Casado-Vara; Míriam Timiraos; José Luís Calvo-Rolle (Neurocomputing, 2024)

A Clustering Extension of HUEPs for the Analysis of Performance Anomalies in Robots. - Nuño Basurto; Carlos Cambra Baseca; Álvaro Herrero 001; Daniel Urda (Cybern. Syst., 2024)