3 papers
cs.LG2021
Detecting adversaries in Crowdsourcing
Panagiotis A. Traganitis, Georgios B. Giannakis
Despite its successes in various machine learning and data science tasks, crowdsourcing can be susceptible to attacks from dedicated adversaries. This work investigates the effects…
cs.LG2020
Bayesian Crowdsourcing with Constraints
Panagiotis A. Traganitis, Georgios B. Giannakis
Crowdsourcing has emerged as a powerful paradigm for efficiently labeling large datasets and performing various learning tasks, by leveraging crowds of human annotators. When addit…
cs.LG2019
Unsupervised Ensemble Classification with Sequential and Networked Data
Panagiotis A. Traganitis, Georgios B. Giannakis
Ensemble learning, the machine learning paradigm where multiple algorithms are combined, has exhibited promising perfomance in a variety of tasks. The present work focuses on unsup…