Optimal budget allocation for crowdsourcing labels for graphs
Crowdsourcing is an effective and efficient paradigm for obtaining labels for unlabeled
corpus employing crowd workers. This work considers the budget allocation problem for a …
corpus employing crowd workers. This work considers the budget allocation problem for a …
Network economics-based crowdsourcing in uav-assisted smart cities environments
F Sangoleye, MS Hossain… - … Computing in Sensor …, 2022 - ieeexplore.ieee.org
In this paper, a novel crowdsourcing mechanism is introduced in Unmanned Aerial Vehicles
(UAVs)-assisted smart cities environments based on the principles of Contract Theory and …
(UAVs)-assisted smart cities environments based on the principles of Contract Theory and …
Reinforcement Learning-based Resilience and Decision Making in Cyber-Physical Systems
F Sangoleye - 2023 - digitalrepository.unm.edu
Cyber-physical systems (CPS) transform how humans interact with technology by integrating
sensing, computation, networking, and control with physical processes to facilitate smart …
sensing, computation, networking, and control with physical processes to facilitate smart …
Learning from Crowds with Dual-View K-Nearest Neighbor
J Li, L Jiang, X Wu, W Zhang - The 40th Conference on Uncertainty in … - openreview.net
In crowdsourcing scenarios, we can obtain multiple noisy labels from different crowd
workers for each instance and then infer its integrated label via label integration. To achieve …
workers for each instance and then infer its integrated label via label integration. To achieve …
Managing Crowd Sourcing paradigm through Efficient blockchain technology
PB Suryakar, VV Bagade - ADBU Journal of Engineering …, 2020 - journals.dbuniversity.ac.in
Crowdsourcing paradigm has been getting increasingly popular in recent years. The
crowdsourcing platform allows for the integration of a large number of workers in achieving …
crowdsourcing platform allows for the integration of a large number of workers in achieving …