research
∙
10/07/2021
Detecting adversaries in Crowdsourcing
Despite its successes in various machine learning and data science tasks...
share
research
∙
12/20/2020
Bayesian Semi-supervised Crowdsourcing
Crowdsourcing has emerged as a powerful paradigm for efficiently labelin...
research
∙
06/22/2019
Unsupervised Ensemble Classification with Dependent Data
Ensemble learning, the machine learning paradigm where multiple algorith...
research
∙
01/29/2018
Nonlinear Dimensionality Reduction on Graphs
In this era of data deluge, many signal processing and machine learning ...
research
∙
12/08/2017
Blind Multi-class Ensemble Learning with Unequally Reliable Classifiers
The rising interest in pattern recognition and data analytics has spurre...
research
∙
07/22/2017
Sketched Subspace Clustering
The immense amount of daily generated and communicated data presents uni...
research
∙
10/06/2015
Large-scale subspace clustering using sketching and validation
The nowadays massive amounts of generated and communicated data present ...
research
∙
01/22/2015
