Bioimage analysis plays a critical role in extracting information from biological images,
enabling deeper insights into cellular structures and processes. The integration of machine …

During the past decade of the big data era, mobile crowdsourcing has emerged as a popular
research area, leveraging the collective intelligence and engagement of a vast number of …

The stock market is affected by a seemingly infinite number of factors, making it highly
uncertain yet impactful. A large determinant of stock performance is public sentiment, which …

Self-supervised learning has become a popular way to pretrain a deep learning model and
then transfer it to perform downstream tasks. However, most of these methods are …

In the context of the policy debate around business practices related to the marketing of
branded food products as being identical (ie in their brand and appearance on the …

Human-derived inputs are crucial in decision-making across various domains such as social
choice and collective intelligence. These inputs, when the task is objective, can be collected …

Collective intelligence has emerged as a powerful methodology for annotating and
classifying challenging data that pose difficulties for automated classifiers. It works by …