As part of invoice processing, businesses are required to manually classify each line item on
an invoice to a specific financial account. This can be time-consuming and challenging …

The recent cohort of publicly available generative models can produce human expert level
content across a variety of topics and domains. Given a model in this cohort as a base …

Generative models, such as large language models and text-to-image diffusion models,
produce relevant information when presented a query. Different models may produce …

Hierarchical classification (HC) plays a pivotal role in multi-class classification tasks, where
objects are organized into a hierarchical structure. This study explores the performance of …

Deep neural networks are susceptible to label noise. Existing methods to improve
robustness, such as meta-learning and regularization, usually require significant change to …

This study introduces a novel hierarchical divisive clustering approach with stochastic
splitting functions (SSFs) to enhance classification performance in multi-class datasets …

Motion-activated cameras, commonly known as camera traps, play a crucial role in wildlife
monitoring, biodiversity conservation, and basic ecological science, capturing a diverse …

Hierarchical classification (HC) plays a pivotal role in multi-class classification tasks, where
objects are organized into a hierarchical structure. This study explores the performance of …