b'UNC Charlotte'

research

∙ 09/27/2019

Visual Explanation for Deep Metric Learning

This work explores the visual explanation for deep metric learning and i...

Sijie Zhu, et al. ∙

research

∙ 01/03/2022

Biased Hypothesis Formation From Projection Pursuit

The effect of bias on hypothesis formation is characterized for an autom...

John Patterson, et al. ∙

research

∙ 09/18/2021

A Machine Learning Pipeline to Examine Political Bias with Congressional Speeches

Computational methods to model political bias in social media involve se...

Prasad hajare, et al. ∙

research

∙ 05/26/2020

CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path Prediction

Pedestrian path prediction is an essential topic in computer vision and ...

Matías Mendieta, et al. ∙

research

∙ 06/21/2021

Confidence-Guided Radiology Report Generation

Medical imaging plays a pivotal role in diagnosis and treatment in clini...

Yixin Wang, et al. ∙

research

∙ 07/15/2020

Automatic Image Labelling at Pixel Level

The performance of deep networks for semantic image segmentation largely...

Xiang Zhang, et al. ∙

research

∙ 04/06/2020

Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment

To leverage deep learning for image aesthetics assessment, one critical ...

Qiuyu Chen, et al. ∙

research

∙ 01/20/2022

EdgeMap: CrowdSourcing High Definition Map in Automotive Edge Computing

High definition (HD) map needs to be updated frequently to capture road ...

Qiang Liu, et al. ∙

research

∙ 02/04/2016

Visual Tracking via Reliable Memories

In this paper, we propose a novel visual tracking framework that intelli...

Shu Wang, et al. ∙

research

∙ 10/19/2017

StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

Although Generative Adversarial Networks (GANs) have shown remarkable su...

Han Zhang, et al. ∙

research

∙ 08/10/2017

Beyond Bilinear: Generalized Multi-modal Factorized High-order Pooling for Visual Question Answering

Visual question answering (VQA) is challenging because it requires a sim...

Zhou Yu, et al. ∙

research

∙ 08/04/2017

Multi-modal Factorized Bilinear Pooling with Co-Attention Learning for Visual Question Answering

Visual question answering (VQA) is challenging because it requires a sim...

Zhou Yu, et al. ∙

research

∙ 03/04/2016

Lasso estimation for GEFCom2014 probabilistic electric load forecasting

We present a methodology for probabilistic load forecasting that is base...

Florian Ziel, et al. ∙

research

∙ 12/09/2015

Embedding Label Structures for Fine-Grained Feature Representation

Recent algorithms in convolutional neural networks (CNN) considerably ad...

Feng Zhou, et al. ∙

research

∙ 04/25/2014

Nonparametric Detection of Anomalous Data Streams

A nonparametric anomalous hypothesis testing problem is investigated, in...

Shaofeng Zou, et al. ∙

research

∙ 12/31/2013

Feature Augmentation via Nonparametrics and Selection (FANS) in High Dimensional Classification

We propose a high dimensional classification method that involves nonpar...

Jianqing Fan, et al. ∙

research

∙ 10/13/2015

Wide-Area Image Geolocalization with Aerial Reference Imagery

We propose to use deep convolutional neural networks to address the prob...

Scott Workman, et al. ∙

research

∙ 08/02/2017

Towards Semantic Modeling of Contradictions and Disagreements: A Case Study of Medical Guidelines

We introduce a formal distinction between contradictions and disagreemen...

Wlodek Zadrozny, et al. ∙

research

∙ 02/10/2017

Learning Concept Embeddings for Efficient Bag-of-Concepts Densification

Explicit concept space models have proven efficacy for text representati...

Walid Shalaby, et al. ∙

research

∙ 12/22/2016

A Context-aware Attention Network for Interactive Question Answering

Neural network based sequence-to-sequence models in an encoder-decoder f...

Huayu Li, et al. ∙

research

∙ 12/05/2016

We used Neural Networks to Detect Clickbaits: You won't believe what happened Next!

Online content publishers often use catchy headlines for their articles ...

Ankesh Anand, et al. ∙

research

∙ 04/04/2016

Entity Type Recognition using an Ensemble of Distributional Semantic Models to Enhance Query Understanding

We present an ensemble approach for categorizing search query entities i...

Walid Shalaby, et al. ∙

research

∙ 12/10/2015

Measuring Semantic Relatedness using Mined Semantic Analysis

Mined Semantic Analysis (MSA) is a novel concept space model which emplo...

Walid Shalaby, et al. ∙

research

∙ 12/02/2014

Watsonsim: Overview of a Question Answering Engine

The objective of the project is to design and run a system similar to Wa...

Sean Gallagher, et al. ∙

research

∙ 11/14/2017

Practical Whole-System Provenance Capture

Data provenance describes how data came to be in its present form. It in...

Thomas Pasquier, et al. ∙

research

∙ 01/01/2018

Beyond Word Embeddings: Learning Entity and Concept Representations from Large Scale Knowledge Bases

Text representation using neural word embeddings has proven efficacy in ...

Walid Shalaby, et al. ∙

research

∙ 01/02/2018

Deep Learning for Identifying Potential Conceptual Shifts for Co-creative Drawing

We present a system for identifying conceptual shifts between visual cat...

Pegah Karimi, et al. ∙

research

∙ 01/01/2018

Help Me Find a Job: A Graph-based Approach for Job Recommendation at Scale

Online job boards are one of the central components of modern recruitmen...

Walid Shalaby, et al. ∙

research

∙ 01/27/2018

A Sheaf Model of Contradictions and Disagreements. Preliminary Report and Discussion

We introduce a new formal model -- based on the mathematical construct o...

Wlodek Zadrozny, et al. ∙

research

∙ 03/05/2018

One-Class Adversarial Nets for Fraud Detection

Many online applications, such as online social networks or knowledge ba...

Panpan Zheng, et al. ∙

research

∙ 03/29/2018

Computer-Assisted Text Analysis for Social Science: Topic Models and Beyond

Topic models are a family of statistical-based algorithms to summarize, ...

Ryan Wesslen, et al. ∙

research

∙ 05/07/2018

MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation

Recently, generative adversarial networks (GANs) have shown promising pe...

David Keetae Park, et al. ∙

research

∙ 05/22/2018

DRAPS: Dynamic and Resource-Aware Placement Scheme for Docker Containers in a Heterogeneous Cluster

Virtualization is a promising technology that has facilitated cloud comp...

Ying Mao, et al. ∙

research

∙ 06/02/2018

Emotion Detection in Text: a Review

In recent years, emotion detection in text has become more popular due t...

Armin Seyeditabari, et al. ∙

research

∙ 06/02/2018

Rejection Sampling for Tempered Levy Processes

We extend the idea of tempering stable Levy processes to tempering more ...

Michael Grabchak, et al. ∙

research

∙ 06/07/2018

Anchored in a Data Storm: How Anchoring Bias Can Affect User Strategy, Confidence, and Decisions in Visual Analytics

Cognitive biases have been shown to lead to faulty decision-making. Rece...

Ryan Wesslen, et al. ∙

research

∙ 06/28/2018

CR-GAN: Learning Complete Representations for Multi-view Generation

Generating multi-view images from a single-view input is an essential ye...

Yu Tian, et al. ∙

research

∙ 07/25/2018

Vulnerable to Misinformation? Verifi!

We present Verifi2, a visual analytic system to support the investigatio...

Alireza Karduni, et al. ∙

research

∙ 07/25/2018

Evaluating Creativity in Computational Co-Creative Systems

This paper provides a framework for evaluating creativity in co-creative...

Pegah Karimi, et al. ∙

research

∙ 09/27/2018

A Short Survey of Topological Data Analysis in Time Series and Systems Analysis

Topological Data Analysis (TDA) is the collection of mathematical tools ...

Shafie Gholizadeh, et al. ∙

research

∙ 10/03/2018

GI-OHMS: Graphical Inference to Detect Overlapping Communities

Discovery of communities in complex networks is a topic of considerable ...

Nasheen Nur, et al. ∙

research

∙ 11/12/2018

NeXtVLAD: An Efficient Neural Network to Aggregate Frame-level Features for Large-scale Video Classification

This paper introduces a fast and efficient network architecture, NeXtVLA...

Rongcheng Lin, et al. ∙

research

∙ 12/08/2018

An Exploratory Study of (#)Exercise in the Twittersphere

Social media analytics allows us to extract, analyze, and establish sema...

George Shaw, et al. ∙

research

∙ 12/06/2018

Graph Embedding for Citation Recommendation

As science advances, the academic community has published millions of re...

Haofeng Jia, et al. ∙

research

∙ 12/10/2018

IoTC2: A Formal Method Approach for Detecting Conflicts in Large Scale IoT Systems

Internet of Things (IoT) has become a common paradigm for different doma...

Abdullah Al Farooq, et al. ∙

research

∙ 12/29/2018

Towards Finding Non-obvious Papers: An Analysis of Citation Recommender Systems

As science advances, the academic community has published millions of re...

Haofeng Jia, et al. ∙

research

∙ 12/08/2018

Crowdsensing Game with Demand Uncertainties: A Deep Reinforcement Learning Approach

Currently, explosive increase of smartphones with powerful built-in sens...

Yufeng Zhan, et al. ∙

research

∙ 01/24/2019

Gibbs posterior convergence and the thermodynamic formalism

In this paper we consider a Bayesian framework for making inferences abo...

Kevin McGoff, et al. ∙

research

∙ 02/06/2019

Deep CSI Learning for Gait Biometric Sensing and Recognition

Gait is a person's natural walking style and a complex biological proces...

Kalvik Jakkala, et al. ∙

research

∙ 02/10/2019

Physical Layer Identification based on Spatial-temporal Beam Features for Millimeter Wave Wireless Networks

With millimeter wave (mmWave) wireless communication envisioned to be th...

Sarankumar Balakrishnan, et al. ∙

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