José Portela

According to our database, José Portela authored at least 12 papers between 2021 and 2026.

Collaborative distances:

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

2026

A Mathematical Certification for Positivity Conditions in Neural Networks With Applications to Partial Monotonicity and Trustworthy AI.

Alejandro Polo-Molina, David Alfaya, José Portela

IEEE Trans. Neural Networks Learn. Syst., February, 2026

MonoKAN: Certified monotonic Kolmogorov-Arnold network.

Alejandro Polo-Molina, David Alfaya, José Portela

Neural Networks, 2026

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

UrbanHeatOpt: A software framework for supporting municipal heat transition planning.

Simon Malacek, David Cardona-Vasquez, José Portela, I. Abbate, Yannick Marcus Werner, Sonja Wogrin

SoftwareX, 2025

Metric tools for sensitivity analysis with applications to neural networks.

Jaime Pizarroso, David Alfaya, José Portela, Antonio Muñoz

Appl. Soft Comput., 2025

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