152 citations
- University of the Basque CountryES17 papers
- Universidad de NavarraES5 papers
- Donostia International Physics CenterES3 papers
- IkerbasqueES3 papers
- Biogipuzkoa Health Research InstituteES2 papers
- Digital Research Alliance of Canada2 papers
- Politecnico di MilanoIT2 papers
- Tech FoundationUS2 papers
- Boeing (Spain)ES1 paper
- Boston CollegeUS1 paper
- Catholic University of Eastern AfricaKE1 paper
- CIC nanoGUNEES1 paper
10 papers · 1 filter
Bifurcated Remaining Useful Life Prediction: A Hybrid Approach for Realistic Uncertainty Characterization
Xabier Belaunzaran, Antonio Nappa, Arkaitz Artetxe +1
This study presents a novel hybrid prognostic framework for uncertainty-aware Remaining Useful Life (RUL) estimation in turbofan engines using the NASA C-MAPSS dataset. The framewo…
Optimizing Energy Management of Smart Grid using Reinforcement Learning aided by Surrogate models built using Physics-informed Neural Networks
Julen Cestero, Carmine Delle Femine, Kenji S. Muro +2
Optimizing the energy management within a smart grids scenario presents significant challenges, primarily due to the complexity of real-world systems and the intricate interactions…
Building surrogate models using trajectories of agents trained by Reinforcement Learning
Julen Cestero, Marco Quartulli, Marcello Restelli
Sample efficiency in the face of computationally expensive simulations is a common concern in surrogate modeling. Current strategies to minimize the number of samples needed are no…
Differentially Private Non Parametric Copulas: Generating synthetic data with non parametric copulas under privacy guarantees
Pablo A. Osorio-Marulanda, John Esteban Castro Ramirez, Mikel Hernández Jiménez +2
Creation of synthetic data models has represented a significant advancement across diverse scientific fields, but this technology also brings important privacy considerations for u…
Enhancing Law Enforcement Training: A Gamified Approach to Detecting Terrorism Financing
Francesco Zola, Lander Segurola, Erin King +2
Tools for fighting cyber-criminal activities using new technologies are promoted and deployed every day. However, too often, they are unnecessarily complex and hard to use, requiri…
Topological safeguard for evasion attack interpreting the neural networks' behavior
Xabier Echeberria-Barrio, Amaia Gil-Lerchundi, Iñigo Mendialdua +1
In the last years, Deep Learning technology has been proposed in different fields, bringing many advances in each of them, but identifying new threats in these solutions regarding…