7 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.CY2020★ 3 cited
An Unsupervised Machine Learning Approach to Assess the ZIP Code Level Impact of COVID-19 in NYC
Fadoua Khmaissia, Pegah Sagheb Haghighi, Aarthe Jayaprakash +4
New York City has been recognized as the world's epicenter of the novel Coronavirus pandemic. To identify the key inherent factors that are highly correlated to the Increase Rate o…
cs.IR2019★ 7 cited
An Explainable Autoencoder For Collaborative Filtering Recommendation
Pegah Sagheb Haghighi, Olurotimi Seton, Olfa Nasraoui
Autoencoders are a common building block of Deep Learning architectures, where they are mainly used for representation learning. They have also been successfully used in Collaborat…