205 citations · 861 across the 59 of their papers we have counts for
7 papers · 1 filter
Crowdsourcing with Fairness, Diversity and Budget Constraints
Naman Goel, Boi Faltings
Recent studies have shown that the labels collected from crowdworkers can be discriminatory with respect to sensitive attributes such as gender and race. This raises questions abou…
Privacy Preserving and Cost Optimal Mobile Crowdsensing using Smart Contracts on Blockchain
Dimitris Chatzopoulos, Sujit Gujar, Boi Faltings +1
The popularity and applicability of mobile crowdsensing applications are continuously increasing due to the widespread of mobile devices and their sensing and processing capabiliti…
Context Tree for Adaptive Session-based Recommendation
Fei Mi, Boi Faltings
There has been growing interests in recent years from both practical and research perspectives for session-based recommendation tasks as long-term user profiles do not often exist…
CompNet: Neural networks growing via the compact network morphism
Jun Lu, Wei Ma, Boi Faltings
It is often the case that the performance of a neural network can be improved by adding layers. In real-world practices, we always train dozens of neural network architectures in p…
Deep Bayesian Trust : A Dominant and Fair Incentive Mechanism for Crowd
Naman Goel, Boi Faltings
An important class of game-theoretic incentive mechanisms for eliciting effort from a crowd are the peer based mechanisms, in which workers are paid by matching their answers with…
Generating Artificial Data for Private Deep Learning
Aleksei Triastcyn, Boi Faltings
In this paper, we propose generating artificial data that retain statistical properties of real data as the means of providing privacy with respect to the original dataset. We use…