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Found 5 papers, 0 papers with code
On Optimizing Human-Machine Task Assignments
When crowdsourcing systems are used in combination with machine inference systems in the real world, they benefit the most when the machine system is deeply integrated with the crowd workers.
An automated approach for task evaluation using EEG signals
Understanding the complexity of a particular task can only be done on user level and we propose to do this by understanding the mental workload (MWL) generated on an operator while performing a task which requires processing a lot of information to get the task done.
Customized video filtering on YouTube
But with a huge surge in content being posted online it becomes seemingly difficult to filter out related videos on which they can run their ads without compromising brand name.
PreDisM: Pre-Disaster Modelling With CNN Ensembles for At-Risk Communities
The machine learning community has recently had increased interest in the climate and disaster damage domain due to a marked increased occurrences of natural hazards (e. g., hurricanes, forest fires, floods, earthquakes).
Explicit and Implicit Semantic Ranking Framework
The core challenge in numerous real-world applications is to match an inquiry to the best document from a mutable and finite set of candidates.
