FNNWV: Farthest-nearest neighbor-based weighted voting for class-imbalanced crowdsourcing
In crowdsourcing scenarios, we can hire crowd workers to label crowdsourced tasks and
then use label integration algorithms to infer the integrated label for each instance in the …
then use label integration algorithms to infer the integrated label for each instance in the …
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 …
Three-way decision-based label integration for crowdsourcing
In crowdsourcing learning, label integration is often used to infer instances' integrated labels
from their multiple noisy labels. However, almost all existing label integration algorithms …
from their multiple noisy labels. However, almost all existing label integration algorithms …
Network economics-based crowdsourcing in uav-assisted smart cities environments
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 …
Label Consistency-Based Ground Truth Inference for Crowdsourcing
In crowdsourcing scenarios, we can obtain each instance's multiple noisy labels from
different crowd workers and then infer its unknown ground truth via a ground truth inference …
different crowd workers and then infer its unknown ground truth via a ground truth inference …
Learning from crowds with dual-view K-nearest neighbor
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 …
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 …
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 …