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Classification of Factual and Non-Factual Statements Using Adversarially Trained LSTM Networks
(2020-06-08)
Being able to determine which statements are factual and therefore likely candidates for further verification is a key value-add in any automated fact-checking system. For this task, it has been shown that LSTMs outperform ...
Detection and classification of object presence and characteristics in a water container using high frequency ultrasound
(2022-05-17)
Detection and characterization of soluble, diffuse, and solid objects and their characteristics in water has important implications in various applications, including water quality assessment and incontinence monitoring ...
LEARNING TOPOLOGY PRESERVING EMBEDDINGS FOR SPEEDING UP NEAREST NEIGHBOR RETRIEVAL
(2022-05-06)
Given a database of objects and a query object, it’s possible to gather
a number of the closest neighbors to the query object. This operation is
important to a number of diverse fields such as computer vision, content-
based ...