Supervised learning has been the cornerstone of many successful medical imaging
applications. However, its reliance on large labeled datasets poses significant challenges …

Visual search (VS) is a fundamental task in daily life widely studied for over half a century. A
variant of the classic paradigm—searching one target among distractors—requires the …

The secretary problem is probably the most well-studied optimal stopping problem with
many applications in economics and management. In the secretary problem, a decision …

Sequential decision making—making a decision where available options are encountered
successively—is a hallmark of everyday life. Such decisions require deciding to accept or …

To promote healthy behaviors, many mobile health applications provide message-based
interventions, such as tips, motivational messages, or suggestions for healthy activities …

Many everyday decisions require sequential search, according to which available choice
options are observed one at a time, with each observation involving some cost to the …

We study the wisdom of the crowd in three sequential decision‐making tasks: the Balloon
Analogue Risk Task (BART), optimal stopping problems, and bandit problems. We consider …

Sequential lineups are one of the most commonly used procedures in police departments
across the USA. Although this procedure has been the target of much experimental …

With the increasing popularity of mobile devices, each user is able to conveniently acquire
messages from others, and share diverse forms of information, like texts, images, or videos …

Considerable research has shown that people make biased decisions in “optimal stopping
problems”, where options are encountered sequentially, and there is no opportunity to recall …