335 citations · 811 across the 25 of their papers we have counts for
5 papers · 1 filter
HELOC Applicant Risk Performance Evaluation by Topological Hierarchical Decomposition
Kyle Brown, Derek Doran, Ryan Kramer +1
Strong regulations in the financial industry mean that any decisions based on machine learning need to be explained. This precludes the use of powerful supervised techniques such a…
Reasoning over RDF Knowledge Bases using Deep Learning
Monireh Ebrahimi, Md Kamruzzaman Sarker, Federico Bianchi +3
Semantic Web knowledge representation standards, and in particular RDF and OWL, often come endowed with a formal semantics which is considered to be of fundamental importance for t…
Visual Entailment Task for Visually-Grounded Language Learning
Ning Xie, Farley Lai, Derek Doran +1
We introduce a new inference task - Visual Entailment (VE) - which differs from traditional Textual Entailment (TE) tasks whereby a premise is defined by an image, rather than a na…
Deep Neural Ranking for Crowdsourced Geopolitical Event Forecasting
Giuseppe Nebbione, Derek Doran, Srikanth Nadella +1
There are many examples of 'wisdom of the crowd' effects in which the large number of participants imparts confidence in the collective judgment of the crowd. But how do we form an…
Contrasting Web Robot and Human Behaviors with Network Models
Kyle Brown, Derek Doran
The web graph is a commonly-used network representation of the hyperlink structure of a website. A network of similar structure to the web graph, which we call the session graph ha…