Search Results for author:
Found 7 papers, 2 papers with code
Classification Under Human Assistance
Experiments on synthetic and real-world data from several applications in medical diagnosis illustrate our theoretical findings and demonstrate that, under human assistance, supervised learning models trained to operate under different automation levels can outperform those trained for full automation as well as humans operating alone.
Steering Social Activity: A Stochastic Optimal Control Point Of View
At a network level, they may increase activity by incentivizing a few influential users to take more actions, which in turn will trigger additional actions by other users.
Optimizing Human Learning
Can we find the optimal reviewing schedule to maximize the benefits of spaced repetition?
Cheshire: An Online Algorithm for Activity Maximization in Social Networks
Can we design an algorithm that finds when to incentivize users to take actions to maximize the overall activity in a social network?
Spatio-Temporal Modeling of Users' Check-ins in Location-Based Social Networks
People share the exact location and time of their check-ins and are influenced by their friends.
RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks
Users in social networks whose posts stay at the top of their followers'{} feeds the longest time are more likely to be noticed.
Patchwise Joint Sparse Tracking with Occlusion Detection
Since the target's appearance often changes slowly in a video sequence, it is assumed that the target in the current frame and the best candidates of a small number of previous frames, belong to a common subspace.
