most citedManaging the unknown: a survey on Open Set Recognition and tangential areas

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG20241 cited

Resilience to the Flowing Unknown: an Open Set Recognition Framework for Data Streams

Marcos Barcina-Blanco, Jesus L. Lobo, Pablo Garcia-Bringas +1

Modern digital applications extensively integrate Artificial Intelligence models into their core systems, offering significant advantages for automated decision-making. However, th…

cs.NE2024

Multiobjective Optimization Analysis for Finding Infrastructure-as-Code Deployment Configurations

Eneko Osaba, Josu Diaz-de-Arcaya, Juncal Alonso +3

Multiobjective optimization is a hot topic in the artificial intelligence and operations research communities. The design and development of multiobjective methods is a frequent ta…

cs.LG20243 cited

Managing the unknown: a survey on Open Set Recognition and tangential areas

Marcos Barcina-Blanco, Jesus L. Lobo, Pablo Garcia-Bringas +1

In real-world scenarios classification models are often required to perform robustly when predicting samples belonging to classes that have not appeared during its training stage.…

cs.SE2023

Optimizing IaC Configurations: a Case Study Using Nature-inspired Computing

Eneko Osaba, Gorka Benguria, Jesus L. Lobo +3

In the last years, one of the fields of artificial intelligence that has been investigated the most is nature-inspired computing. The research done on this specific topic showcases…

cs.LG2023

On the Connection between Concept Drift and Uncertainty in Industrial Artificial Intelligence

Jesus L. Lobo, Ibai Laña, Eneko Osaba +1

AI-based digital twins are at the leading edge of the Industry 4.0 revolution, which are technologically empowered by the Internet of Things and real-time data analysis. Informatio…