1 citations · 2 across the 5 of their papers we have counts for
6 papers
Reducing Computational Costs in Sentiment Analysis: Tensorized Recurrent Networks vs. Recurrent Networks
Gabriel Lopez, Anna Nguyen, Joe Kaul
Anticipating audience reaction towards a certain text is integral to several facets of society ranging from politics, research, and commercial industries. Sentiment analysis (SA) i…
Emotion Analysis using Multi-Layered Networks for Graphical Representation of Tweets
Anna Nguyen, Antonio Longa, Massimiliano Luca +2
Anticipating audience reaction towards a certain piece of text is integral to several facets of society ranging from politics, research, and commercial industries. Sentiment analys…
Explaining Convolutional Neural Networks by Tagging Filters
Anna Nguyen, Daniel Hagenmayer, Tobias Weller +1
Convolutional neural networks (CNNs) have achieved astonishing performance on various image classification tasks, but it is difficult for humans to understand how a classification…
Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019
Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam +71
One of the grand challenges discussed during the Dagstuhl Seminar "Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web" and described in its report is…
Right for the Right Reason: Making Image Classification Robust
Anna Nguyen, Adrian Oberföll, Michael Färber
The effectiveness of Convolutional Neural Networks (CNNs)in classifying image data has been thoroughly demonstrated. In order to explain the classification to humans, methods for v…
Making Neural Networks FAIR
Anna Nguyen, Tobias Weller, Michael Färber +1
Research on neural networks has gained significant momentum over the past few years. Because training is a resource-intensive process and training data cannot always be made availa…