Derek Doran | DeepAI

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∙ 04/30/2020

Explainable Deep Learning: A Field Guide for the Uninitiated

Deep neural network (DNN) is an indispensable machine learning tool for ...

23 Ning Xie, et al. ∙

∙ 11/18/2019

A First Look at References from the Dark to Surface Web World

Tor is one of the most well-known networks that protects the identity of...

0 Mahdieh Zabihimayvan, et al. ∙

∙ 11/05/2019

Contextual Grounding of Natural Language Entities in Images

In this paper, we introduce a contextual grounding approach that capture...

0 Farley Lai, et al. ∙

∙ 03/13/2019

Fuzzy Rough Set Feature Selection to Enhance Phishing Attack Detection

Phishing as one of the most well-known cybercrime activities is a decept...

0 Mahdieh Zabihimayvan, et al. ∙

∙ 02/18/2019

A Broad Evaluation of the Tor English Content Ecosystem

Tor is among most well-known dark net in the world. It has noble uses, i...

0 Mahdieh Zabihimayvan, et al. ∙

∙ 01/20/2019

Visual Entailment: A Novel Task for Fine-Grained Image Understanding

Existing visual reasoning datasets such as Visual Question Answering (VQ...

0 Ning Xie, et al. ∙

∙ 11/26/2018

HELOC Applicant Risk Performance Evaluation by Topological Hierarchical Decomposition

Strong regulations in the financial industry mean that any decisions bas...

0 Kyle Brown, et al. ∙

∙ 11/26/2018

Visual Entailment Task for Visually-Grounded Language Learning

We introduce a new inference task - Visual Entailment (VE) - which diffe...

0 Ning Xie, et al. ∙

∙ 11/09/2018

Reasoning over RDF Knowledge Bases using Deep Learning

Semantic Web knowledge representation standards, and in particular RDF a...

1 Monireh Ebrahimi, et al. ∙

∙ 10/23/2018

Deep Neural Ranking for Crowdsourced Geopolitical Event Forecasting

There are many examples of 'wisdom of the crowd' effects in which the la...

0 Giuseppe Nebbione, et al. ∙

∙ 12/15/2017

Realistic Traffic Generation for Web Robots

Critical to evaluating the capacity, scalability, and availability of we...

0 Kyle Brown, et al. ∙

∙ 12/14/2017

Intrinsic Point of Interest Discovery from Trajectory Data

This paper presents a framework for intrinsic point of interest discover...

0 Matthew Piekenbrock, et al. ∙

∙ 11/21/2017

Relating Input Concepts to Convolutional Neural Network Decisions

Many current methods to interpret convolutional neural networks (CNNs) u...

0 Ning Xie, et al. ∙

∙ 10/11/2017

Explaining Trained Neural Networks with Semantic Web Technologies: First Steps

The ever increasing prevalence of publicly available structured data on ...

0 Md Kamruzzaman Sarker, et al. ∙

∙ 10/02/2017

What Does Explainable AI Really Mean? A New Conceptualization of Perspectives

We characterize three notions of explainable AI that cut across research...

0 Derek Doran, et al. ∙

∙ 07/14/2017

A Semantics-Based Measure of Emoji Similarity

Emoji have grown to become one of the most important forms of communicat...

0 Sanjaya Wijeratne, et al. ∙

∙ 07/14/2017

EmojiNet: An Open Service and API for Emoji Sense Discovery

This paper presents the release of EmojiNet, the largest machine-readabl...

0 Sanjaya Wijeratne, et al. ∙

∙ 10/29/2016

Finding Street Gang Members on Twitter

Most street gang members use Twitter to intimidate others, to present ou...

0 Lakshika Balasuriya, et al. ∙

∙ 10/27/2016

Word Embeddings to Enhance Twitter Gang Member Profile Identification

Gang affiliates have joined the masses who use social media to share tho...

0 Sanjaya Wijeratne, et al. ∙

∙ 10/25/2016

EmojiNet: Building a Machine Readable Sense Inventory for Emoji

Emoji are a contemporary and extremely popular way to enhance electronic...

0 Sanjaya Wijeratne, et al. ∙

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