119 citations · 153 across the 5 of their papers we have counts for
3 papers · 1 filter
On the Evaluation of Generative Adversarial Networks By Discriminative Models
Amirsina Torfi, Mohammadreza Beyki, Edward A. Fox
Generative Adversarial Networks (GANs) can accurately model complex multi-dimensional data and generate realistic samples. However, due to their implicit estimation of data distrib…
Natural Language Processing Advancements By Deep Learning: A Survey
Amirsina Torfi, Rouzbeh A. Shirvani, Yaser Keneshloo +2
Natural Language Processing (NLP) helps empower intelligent machines by enhancing a better understanding of the human language for linguistic-based human-computer communication. Re…
CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare Records
Amirsina Torfi, Edward A. Fox
Deep learning models have demonstrated high-quality performance in areas such as image classification and speech processing. However, creating a deep learning model using electroni…