3 papers
cs.CY2024
Improving the accuracy of food security predictions by integrating conflict data
Marco Bertetti, Paolo Agnolucci, Alvaro Calzadilla +1
Violence and armed conflicts have emerged as prominent factors driving food crises. However, the extent of their impact remains largely unexplored. This paper provides an in-depth…
math.NA2024
An independent evaluation of the Famine Early Warning Systems Network food security projections
Marco Bertetti, Paolo Agnolucci, Alvaro Calzadilla +1
Reports from the Famine Early Warning Systems Network (FEWSNET) serve as the benchmark for food security predictions which is crucial for stakeholders in planning interventions and…
cs.CL2024
NLPGuard: A Framework for Mitigating the Use of Protected Attributes by NLP Classifiers
Salvatore Greco, Ke Zhou, Licia Capra +2
AI regulations are expected to prohibit machine learning models from using sensitive attributes during training. However, the latest Natural Language Processing (NLP) classifiers,…