Manuel Méndez

According to our database, Manuel Méndez authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Using transformers to learn system models.

Alfredo Ibias, Manuel Méndez, Manuel Núñez, Francisco Palomo-Lozano

Appl. Intell., February, 2026

Combining a novel metric and categorical boosting to better estimate rare event likelihood: Use in traffic accidents.

Manuel Méndez, Gregorio Díaz, Mercedes G. Merayo, Manuel Núñez

Appl. Soft Comput., 2026

2025

Design of hybrid machine learning and TF-IDF models to discard irrelevant reviews on public transport stations.

Manuel Méndez, Mercedes G. Merayo, Manuel Núñez

J. Inf. Telecommun., October, 2025

2024

Combining Metamorphic Testing and Machine Learning to Enhance OpenStreetMap.

Manuel Méndez, Antonio Becerra-Terón, Jesús Manuel Almendros-Jiménez, Mercedes G. Merayo, Manuel Núñez

IEEE Trans. Reliab., December, 2024

Testing the Robustness of Machine Learning Models Through Mutations.

Manuel Méndez, Miguel Benito-Parejo, Mercedes G. Merayo

Proceedings of the Advances in Computational Collective Intelligence, 2024

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

Proceedings of the Advances in Computational Collective Intelligence, 2024

2023

Machine learning algorithms to forecast air quality: a survey.

Manuel Méndez, Mercedes G. Merayo, Manuel Núñez

Artif. Intell. Rev., September, 2023

Long-term traffic flow forecasting using a hybrid CNN-BiLSTM model.

Manuel Méndez, Mercedes G. Merayo, Manuel Núñez

Eng. Appl. Artif. Intell., May, 2023

Metamorphic testing of chess engines.

Manuel Méndez, Miguel Benito-Parejo, Alfredo Ibias, Manuel Núñez

Inf. Softw. Technol., 2023

Improving the Expected Goal Value in Football Using Multilayer Perceptron Networks.

Manuel Méndez, Carlos Montero, Manuel Núñez

Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2023

2022

Using Deep Transformer Based Models to Predict Ozone Levels.

Manuel Méndez, Carlos Montero, Manuel Núñez

Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

Using Deep Learning to Detect Anomalies in Traffic Flow.

Manuel Méndez, Alfredo Ibias, Manuel Núñez

Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022