2 papers
cs.LG2025
Semantic-Inductive Attribute Selection for Zero-Shot Learning
Juan Jose Herrera-Aranda, Guillermo Gomez-Trenado, Francisco Herrera +1
Zero-Shot Learning is an important paradigm within General-Purpose Artificial Intelligence Systems, particularly in those that operate in open-world scenarios where systems must ad…
cs.AI2025
Predict+Optimize Problem in Renewable Energy Scheduling
Christoph Bergmeir, Frits de Nijs, Evgenii Genov +25
Predict+Optimize frameworks integrate forecasting and optimization to address real-world challenges such as renewable energy scheduling, where variability and uncertainty are criti…