11 citations · 17 across the 3 of their papers we have counts for
3 papers
Learning From Graph Neighborhoods Using LSTMs
Rakshit Agrawal, Luca de Alfaro, Vassilis Polychronopoulos
Many prediction problems can be phrased as inferences over local neighborhoods of graphs. The graph represents the interaction between entities, and the neighborhood of each entity…
Incentives for Truthful Evaluations
Luca de Alfaro, Marco Faella, Vassilis Polychronopoulos +1
We consider crowdsourcing problems where the users are asked to provide evaluations for items; the user evaluations are then used directly, or aggregated into a consensus value. La…
Incentives for Truthful Peer Grading
Luca de Alfaro, Michael Shavlovsky, Vassilis Polychronopoulos
Peer grading systems work well only if users have incentives to grade truthfully. An example of non-truthful grading, that we observed in classrooms, consists in students assigning…