José Portela

According to our database, José Portela authored at least 10 papers between 2021 and 2025.

Collaborative distances:

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

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, July, 2025

Enhancing keyphrase extraction from long scientific documents using graph embeddings.

Roberto Martínez-Cruz, Debanjan Mahata, Alvaro J. López-López, José Portela

Appl. Intell., May, 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, March, 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., January, 2025

Metric tools for sensitivity analysis with applications to neural networks.

Jaime Pizarroso, David Alfaya, José Portela, Antonio Muñoz

Appl. Soft Comput., 2025

2024

MonoKAN: Certified Monotonic Kolmogorov-Arnold Network.

Alejandro Polo-Molina, David Alfaya, 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

A Transformer approach for Electricity Price Forecasting.

Oscar Llorente, José Portela

CoRR, 2024

2022

NeuralSens: Sensitivity Analysis of Neural Networks.

Jaime Pizarroso, José Portela, Antonio Muñoz

J. Stat. Softw., 2022

2021

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