4 citations · 4 across the 1 of their papers we have counts for
3 papers
Learning Deep Neural Networks under Agnostic Corrupted Supervision
Boyang Liu, Mengying Sun, Ding Wang +2
Training deep neural models in the presence of corrupted supervision is challenging as the corrupted data points may significantly impact the generalization performance. To allevia…
Fairness Perception from a Network-Centric Perspective
Farzan Masrour, Pang-Ning Tan, Abdol-Hossein Esfahanian
Algorithmic fairness is a major concern in recent years as the influence of machine learning algorithms becomes more widespread. In this paper, we investigate the issue of algorith…
Spatially Constrained Spectral Clustering Algorithms for Region Delineation
Shuai Yuan, Pang-Ning Tan, Kendra Spence Cheruvelil +2
Regionalization is the task of dividing up a landscape into homogeneous patches with similar properties. Although this task has a wide range of applications, it has two notable cha…