AI News, Walter S. Lasecki artificial intelligence
- On 11. januar 2020
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Real-time crowd labeling for deployable activity recognition
Systems that automatically recognize human activities offer the potential of timely, task-relevant information and support.
In this paper, we introduce Legion:AR, a system that provides robust, deployable activity recognition by supplementing existing recognition systems with on-demand, real-time activity identification using input from the crowd.
Legion:AR uses activity labels collected from crowd workers to train an automatic activity recognition system online to automatically recognize future occurrences.
- On 11. januar 2020
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CV
School in Logic &
ACM Conference on Fairness, Accountability, and Transparency (FAT*) 2020 Sociotechnical Considerations for Accessible Visualization Design Alan
Visualization &
Computer Graphics (InfoVis) 2020 Arboretum and Arbility: Improving Web Accessibility Through a Shared Browsing Architecture Steve
ACM Symposium on User Interface Software and Technology (UIST) 2018 Bolt: Instantaneous Crowdsourcing via Just-in-Time Training Alan
ACM Conference on Human Factors in Computing Systems (CHI) 2018 Graduate Research Fellowship 2019- National
- On 11. januar 2020
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Besmira Nushi
PUBLICATIONS
Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations.
full technical report Crowd Access Path Optimization: Diversity Matters.
pdffull technical report When is A = B?
EATCS Bulletin 111 (2013) pdf Uncertain time-series similarity: Return to the basics.
11 (2012): 1662-1673.
pdf Similarity matching for uncertain time series: analytical and experimental comparison.