Visual question answering systems empower users to ask any question about any image
and receive a valid answer. However, existing systems do not yet account for the fact that a …

With the explosion of video content on the Internet, there is a need for research on methods
for video analysis which take human cognition into account. One such cognitive measure is …

When acquiring labels from crowdsourcing platforms, a task may be designed to include
multiple labels and the values of each label may belong to a set of various distinct options …

Predictive models are susceptible to errors called unknown unknowns, in which the model
assigns incorrect labels to instances with high confidence. These commonly arise when …

Names: Jones, Michael N., 1975–editor. Title: Big data in cognitive science/edited by
Michael N. Jones. Description: New York, NY: Routledge, 2016.| Includes bibliographical …

We present a large scale multilingual lexical resource, the Universal Knowledge Core
(UKC), which is organized like a Wordnet with, however, a major design difference. In the …

Human data labeling is an important and expensive task at the heart of supervised learning
systems. Hierarchies help humans understand and organize concepts. We ask whether and …

Annotated images are required for supervised model training and evaluation in aerial image
classification. Manually annotating images is arduous and expensive, especially for aerial …

Melanoma is a type of skin cancer with the most rapidly increasing incidence. Early
detection of melanoma using dermoscopy images significantly increases patients' survival …

Online video platforms receive hundreds of hours of uploads every minute, making manual
content moderation impossible. Unfortunately, the most vulnerable consumers of malicious …