198 citations · 395 across the 12 of their papers we have counts for
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Differentially Private Synthetic Medical Data Generation using Convolutional GANs
Amirsina Torfi, Edward A. Fox, Chandan K. Reddy
Deep learning models have demonstrated superior performance in several application problems, such as image classification and speech processing. However, creating a deep learning m…
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…
Aspect Classification for Legal Depositions
Saurabh Chakravarty, Satvik Chekuri, Maanav Mehrotra +1
Attorneys and others have a strong interest in having a digital library with suitable services (e.g., summarizing, searching, and browsing) to help them work with large corpora of…
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…