Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Brian Eoff"'
Autor:
Krishna Somandepalli, Hang Qi, Brian Eoff, Alan Cowen, Kartik Audhkhasi, Josh Belanich, Brendan Jou
Publikováno v:
2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII).
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 5:185-192
The rise in popularity of social networking sites such as Twitter and Facebook has been paralleled by the rise of unwanted, disruptive entities on these networks- — including spammers, malware disseminators, and other content polluters. Inspired by
Publikováno v:
arXiv
ICCV Workshops
ICCV Workshops
Supporting model interpretability for complex phenomena where annotators can legitimately disagree, such as emotion recognition, is a challenging machine learning task. In this work, we show that explicitly quantifying the uncertainty in such setting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::197e7cc34c22140a5b86e8d4105a2802
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 4:275-278
Social media sites derive their value by providing a popular and dependable community for participants to engage, share, and interact. This community value and related services like search and advertising are threatened by spammers, content polluters
Publikováno v:
SIGIR
CrowdTracker is a community-based web monitoring system optimized for real-time web streams like Twitter, Facebook, and Google Buzz. In this demo summary, we provide an overview of the system and architecture, and outline the demonstration plan.
Publikováno v:
IDC
Computer-based games and technologies can be significant aids for helping children learn. However, most computer-based games simply address the learning styles of visual and auditory learners. Sketch-based interfaces, however, can also address the ne
Publikováno v:
WWW
We present the design of Plurality, an interactive tagging system. Plurality's modular architecture allows users to automatically generate high-quality tags over Web content, as well as over archival and personal content typically beyond the reach of
Autor:
Joshua Johnston, Aaron Wolin, Brandon Paulson, Pankaj Rajan, Katie Dahmen, Brian Eoff, Tracy Hammond
Publikováno v:
CHI Extended Abstracts
Sketch recognition techniques have generally fallen into two camps. Gesture-based techniques, such as those used by the Palm Pilot's Graffiti, can provide high-accuracy, but require the user to learn a particular drawing style in order for shapes to