3 papers
stat.ML2019
Stacking Models for Nearly Optimal Link Prediction in Complex Networks
Amir Ghasemian, Homa Hosseinmardi, Aram Galstyan +2
Most real-world networks are incompletely observed. Algorithms that can accurately predict which links are missing can dramatically speedup the collection of network data and impro…
cs.LG2018
Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction
Homa Hosseinmardi, Amir Ghasemian, Shrikanth Narayanan +2
Today's densely instrumented world offers tremendous opportunities for continuous acquisition and analysis of multimodal sensor data providing temporal characterization of an indiv…
stat.ML2018
Evaluating Overfit and Underfit in Models of Network Community Structure
Amir Ghasemian, Homa Hosseinmardi, Aaron Clauset
A common data mining task on networks is community detection, which seeks an unsupervised decomposition of a network into structural groups based on statistical regularities in the…