Treatment of Epistemic Uncertainty in Conjunction Analysis with Dempster-Shafer Theory
The paper discusses an approach to model epistemic uncertainty in Conjunction Data Messages (CDMs) and classify conjunction…
This paper discusses the development of an automated system to help people with cognitive disabilities, such as…
This academic paper explores the resolution of the 3-SAT problem using a QAOA-like approach. The authors model…
The Conditional Markov Chain Search (CMCS) is a framework for designing metaheuristics for discrete combinatorial optimization problems….
The article presents a study motivated by the disparities in COVID-19 vaccine allocation. It formalizes the problem…
This research paper explores the fusion of computational experiments and Large Language Models (LLMs) in studying complex…
The article introduces RadDQN, a deep Q-learning architecture aimed at achieving maximum radiation protection in the nuclear…
The research presents CP-FairRank, a re-ranking algorithm that integrates fairness constraints from both consumer and producer perspectives….
The research focuses on Explanatory Model Steering (EXMOS), a method to fine-tune prediction models using Explainable AI…
In this paper, authors introduce Sandra, a neuro-symbolic reasoner which combines vectorial representations with deductive reasoning. Sandra…