Using Deep Learning to Detect Anomalies in Traffic Flow. - Manuel Méndez; Alfredo Ibias; Manuel Núñez 001 (ACIIDS (1), 2022)

Using Deep Transformer Based Models to Predict Ozone Levels. - Manuel Méndez; Carlos Montero; Manuel Núñez 001 (ACIIDS (1), 2022)

Improving the Expected Goal Value in Football Using Multilayer Perceptron Networks. - Manuel Méndez; Carlos Montero; Manuel Núñez 001 (ACIIDS (Companion), 2023)

Metamorphic testing of chess engines. - Manuel Méndez; Miguel Benito-Parejo; Alfredo Ibias; Manuel Núñez 001 (Inf. Softw. Technol., 2023)

Long-term traffic flow forecasting using a hybrid CNN-BiLSTM model. - Manuel Méndez; Mercedes G. Merayo; Manuel Núñez 001 (Eng. Appl. Artif. Intell., 2023)

Machine learning algorithms to forecast air quality: a survey. - Manuel Méndez; Mercedes G. Merayo; Manuel Núñez 001 (Artif. Intell. Rev., 2023)

An Evolutionary Algorithm and a Clustering Technique to Select Good Subsets of Test for Finite State Machines. - Miguel Benito-Parejo; Manuel Méndez; Mercedes G. Merayo (ICCCI (CCIS Volume 2), 2024)

Testing the Robustness of Machine Learning Models Through Mutations. - Manuel Méndez; Miguel Benito-Parejo; Mercedes G. Merayo (ICCCI (CCIS Volume 1), 2024)

Combining Metamorphic Testing and Machine Learning to Enhance OpenStreetMap. - Manuel Méndez; Antonio Becerra-Terón; Jesús Manuel Almendros-Jiménez; Mercedes G. Merayo; Manuel Núñez 001 (IEEE Trans. Reliab., 2024)