Biometric systems have the goal of measuring and analyzing the unique physical or
behavioral characteristics of an individual. The main feature of biometric systems is the use …

Although we are continuously bombarded with visual input, only a fraction of incoming visual
events is perceived, remembered or acted on. The neural underpinnings of various forms of …

Race and gender have long sociopolitical histories of classification in technical
infrastructures-from the passport to social media. Facial analysis technologies are …

The diversity of human faces and the contexts in which they appear gives rise to an
expansive stimulus space over which people infer psychological traits (eg, trustworthiness or …

In practice, there are often explicit constraints on what representations or decisions are
acceptable in an application of machine learning. For example it may be a legal requirement …

Artificial Intelligence (AI) has seamlessly integrated into numerous scientific domains,
catalysing unparalleled enhancements across a broad spectrum of tasks; however, its …

In this paper we move beyond memorability and investigate how visualizations are
recognized and recalled. For this study we labeled a dataset of 393 visualizations and …

What makes certain images more memorable than others? While much of memory research
has focused on participant effects, recent studies using a stimulus-centric perspective have …

Face recognition is a long standing challenge in the field of Artificial Intelligence (AI). The
goal is to create systems that accurately detect, recognize, verify, and understand human …

Progress in estimating visual memorability has been limited by the small scale and lack of
variety of benchmark data. Here, we introduce a novel experimental procedure to objectively …