60 citations · 127 across the 7 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
Nonlinear Dimensionality Reduction on Graphs
Yanning Shen, Panagiotis A. Traganitis, Georgios B. Giannakis
In this era of data deluge, many signal processing and machine learning tasks are faced with high-dimensional datasets, including images, videos, as well as time series generated f…
Large-scale subspace clustering using sketching and validation
Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis
The nowadays massive amounts of generated and communicated data present major challenges in their processing. While capable of successfully classifying nonlinearly separable object…