Functional time series model identification and diagnosis by means of auto- and partial autocorrelation analysis. - Guillermo Mestre; José Portela; Gregory Rice; Antonio Muñoz San Roque; Estrella Alonso (Comput. Stat. Data Anal., 2021)

NeuralSens: Sensitivity Analysis of Neural Networks. - Jaime Pizarroso; José Portela; Antonio Muñoz 002 (J. Stat. Softw., 2022)

A Transformer approach for Electricity Price Forecasting. - Oscar Llorente; José Portela (CoRR, 2024)

A Mathematical Certification for Positivity Conditions in Neural Networks with Applications to Partial Monotonicity and Ethical AI. - Alejandro Polo-Molina; David Alfaya; José Portela (CoRR, 2024)

MonoKAN: Certified Monotonic Kolmogorov-Arnold Network. - Alejandro Polo-Molina; David Alfaya; José Portela (CoRR, 2024)

Metric tools for sensitivity analysis with applications to neural networks. - Jaime Pizarroso; David Alfaya; José Portela; Antonio Muñoz 002 (Appl. Soft Comput., 2025)

ChatGPT vs state-of-the-art models: a benchmarking study in keyphrase generation task. - Roberto Martínez-Cruz; Alvaro J. López-López; José Portela (Appl. Intell., 2025)

Generating Building-Level Heat Demand Time Series by Combining Occupancy Simulations and Thermal Modeling. - Simon Malacek; José Portela; Yannick Marcus Werner; Sonja Wogrin (CoRR, 2025)

Enhancing keyphrase extraction from long scientific documents using graph embeddings. - Roberto Martínez-Cruz; Debanjan Mahata; Alvaro J. López-López; José Portela (Appl. Intell., 2025)

Modeling Membrane Degradation in PEM Electrolyzers with Physics-Informed Neural Networks. - Alejandro Polo-Molina; José Portela; Luis Alberto Herrero Rozas; Román Cicero González (CoRR, 2025)