[HTML][HTML] Managing the unknown in machine learning: Definitions, related areas, recent advances, and prospects
M Barcina-Blanco, JL Lobo, P Garcia-Bringas… - Neurocomputing, 2024 - Elsevier
In the rapidly evolving domain of machine learning, the ability to adapt to unforeseen
circumstances and novel data types is of paramount importance. The deployment of Artificial …
circumstances and novel data types is of paramount importance. The deployment of Artificial …
Open Set Recognition for Random Forest
In many real-world classification or recognition tasks, it is often difficult to collect training
examples that exhaust all possible classes due to, for example, incomplete knowledge …
examples that exhaust all possible classes due to, for example, incomplete knowledge …
Resilience to the Flowing Unknown: An Open Set Recognition Framework for Data Streams
M Barcina-Blanco, J L. Lobo, P Garcia-Bringas… - … Conference on Hybrid …, 2024 - Springer
Modern digital applications extensively integrate Artificial Intelligence models for automated
decision-making. However, these AI-based systems encounter reliability and safety …
decision-making. However, these AI-based systems encounter reliability and safety …