Machine learning plays a role in many deployed decision systems, often in ways that are
difficult or impossible to understand by human stakeholders. Explaining, in a human …

Learning from class imbalanced datasets poses challenges for many machine learning
algorithms. Many real-world domains are, by definition, class imbalanced by virtue of having …

Disasters can have devastating impacts on communities and economies, underscoring the
urgent need for effective strategic disaster risk management (DRM). Although Artificial …

Abstract Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are
revolutionizing hydrology, driving significant advancements in water resource management …

Accurate milk supply forecasting for the dairy sector, covering 1000 s of farms with low
resolution data, is a key challenge in achieving a sustainable, precision agriculture that can …

El objetivo esta investigación es realizar un mapeo científico basado en la teoría de grafos y
efectuar un análisis crítico de la producción científica relacionada con la temática de …

针对传统过采样方法不能充分利用数据集信息的缺陷, 提出一种基于反事实(counterfactual, CF)
的不平衡数据过采样方法, 并进一步对生成的少数类合成样本进行了“可信” 清除 …

类比推理(analogical reasoning, AR) 是人的思维中的一种基本推理形式, 是人工智能(artificial
intelligence, AI) 理论和技术研究中的一个重要领域. AI 中的类比推理研究, 旨在结合相关学科的 …

Learning structure-scent relationships is a complex challenge due to both the large chemical
space of odorous molecules and the molecular biology of a smell. We empirically fit structure …

Traditional workflow management systems support process participants in fulfilling business
tasks through guidance along a predefined workflow model. Flexibility has gained a lot of …