10 citations · 19 across the 4 of their papers we have counts for
4 papers
Using Deep Networks and Transfer Learning to Address Disinformation
Numa Dhamani, Paul Azunre, Jeffrey L. Gleason +4
We apply an ensemble pipeline composed of a character-level convolutional neural network (CNN) and a long short-term memory (LSTM) as a general tool for addressing a range of disin…
Semantic Classification of Tabular Datasets via Character-Level Convolutional Neural Networks
Paul Azunre, Craig Corcoran, Numa Dhamani +6
A character-level convolutional neural network (CNN) motivated by applications in "automated machine learning" (AutoML) is proposed to semantically classify columns in tabular data…
Abstractive Tabular Dataset Summarization via Knowledge Base Semantic Embeddings
Paul Azunre, Craig Corcoran, David Sullivan +4
This paper describes an abstractive summarization method for tabular data which employs a knowledge base semantic embedding to generate the summary. Assuming the dataset contains d…
Switched linear encoding with rectified linear autoencoders
Leif Johnson, Craig Corcoran
Several recent results in machine learning have established formal connections between autoencoders---artificial neural network models that attempt to reproduce their inputs---and…