George Washington University

research

∙ 01/02/2019

Visualizing Deep Similarity Networks

For convolutional neural network models that optimize an image embedding...

Abby Stylianou, et al. ∙

research

∙ 07/29/2020

COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network

Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic that h...

Yifan Jiang, et al. ∙

research

∙ 01/08/2022

A Sneak Attack on Segmentation of Medical Images Using Deep Neural Network Classifiers

Instead of using current deep-learning segmentation models (like the UNe...

Shuyue Guan, et al. ∙

research

∙ 09/16/2019

Learning Geo-Temporal Image Features

We propose to implicitly learn to extract geo-temporal image features, w...

Menghua Zhai, et al. ∙

research

∙ 06/06/2020

Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases

With the starting point that implicit human biases are reflected in the ...

Wei Guo, et al. ∙

research

∙ 12/17/2019

Dim the Lights! – Low-Rank Prior Temporal Data for Specular-Free Video Recovery

The appearance of an object is significantly affected by the illuminatio...

Samar M. Alsaleh, et al. ∙

research

∙ 06/22/2022

Evolutionary Game-Theoretical Analysis for General Multiplayer Asymmetric Games

Evolutionary game theory has been a successful tool to combine classical...

Xinyu Zhang, et al. ∙

research

∙ 07/30/2019

Prudence When Assuming Normality: an advice for machine learning practitioners

In a binary classification problem the feature vector (predictor) is the...

Waleed A. Yousef, et al. ∙

research

∙ 08/22/2021

Deep survival analysis with longitudinal X-rays for COVID-19

Time-to-event analysis is an important statistical tool for allocating c...

Michelle Shu, et al. ∙

research

∙ 01/25/2022

A Quantitative and Qualitative Analysis of Schizophrenia Language

Schizophrenia is one of the most disabling mental health conditions to l...

Amal Alqahtani, et al. ∙

research

∙ 01/27/2022

Dissecting the impact of different loss functions with gradient surgery

Pair-wise loss is an approach to metric learning that learns a semantic ...

Hong Xuan, et al. ∙

research

∙ 07/01/2016

Meaningful Models: Utilizing Conceptual Structure to Improve Machine Learning Interpretability

The last decade has seen huge progress in the development of advanced ma...

Nick Condry, et al. ∙

research

∙ 12/20/2012

An Experiment with Hierarchical Bayesian Record Linkage

In record linkage (RL), or exact file matching, the goal is to identify ...

Michael D. Larsen, et al. ∙

research

∙ 04/12/2008

Linear Time Recognition Algorithms for Topological Invariants in 3D

In this paper, we design linear time algorithms to recognize and determi...

Li Chen, et al. ∙

research

∙ 08/22/2017

D3NOC: Dynamic Data-Driven Network On Chip in Photonic Electronic Hybrids

In this paper, we present a reconfigurable hybrid Photonic-Plasmonic Net...

Armin Mehrabian, et al. ∙

research

∙ 01/18/2018

On partitions into squares of distinct integers whose reciprocals sum to 1

In 1963, Graham proved that all integers greater than 77 (but not 77 its...

Max A. Alekseyev, et al. ∙

research

∙ 04/16/2018

Chronos: A Unifying Optimization Framework for Speculative Execution of Deadline-critical MapReduce Jobs

Meeting desired application deadlines in cloud processing systems such a...

Maotong Xu, et al. ∙

research

∙ 06/12/2018

Evaluation of Unsupervised Compositional Representations

We evaluated various compositional models, from bag-of-words representat...

Hanan Aldarmaki, et al. ∙

research

∙ 07/23/2018

PCNNA: A Photonic Convolutional Neural Network Accelerator

Convolutional Neural Networks (CNN) have been the centerpiece of many ap...

Armin Mehrabian, et al. ∙

research

∙ 07/25/2018

Statistical Inference of Covariate-Adjusted Randomized Experiments

Covariate-adjusted randomization procedure is frequently used in compara...

Wei Ma, et al. ∙

research

∙ 08/13/2018

Deep Randomized Ensembles for Metric Learning

Learning embedding functions, which map semantically related inputs to n...

Hong Xuan, et al. ∙

research

∙ 08/20/2018

Annotation Scaffolds for Object Modeling and Manipulation

We present and evaluate an approach for human-in-the-loop specification ...

Pablo Frank-Bolton, et al. ∙

research

∙ 12/13/2018

End to End Video Segmentation for Driving : Lane Detection For Autonomous Car

Safety and decline of road traffic accidents remain important issues of ...

Wenhui Zhang, et al. ∙

research

∙ 01/04/2019

Efficient, Dynamic Multi-tenant Edge Computation in EdgeOS

In the future, computing will be immersed in the world around us – from ...

Yuxin Ren, et al. ∙

research

∙ 01/09/2019

On the Benefits of Waiting in Status Update Systems

This paper explores the potential of waiting before packet transmission ...

Peng Zou, et al. ∙

research

∙ 01/16/2019

Relative Age of Information: A New Metric for Status Update Systems

In this paper, we introduce a new data freshness metric, relative Age of...

Peng Zou, et al. ∙

research

∙ 01/19/2019

A Reconfigurable High-Performance Optical Data Center Architecture

Optical data center network architectures are becoming attractive becaus...

Chong Liu, et al. ∙

research

∙ 01/19/2019

A Hierarchical WDM-based Scalable Data Center Network Architecture

Massive data centers are at the heart of the Internet. The rapid growth ...

Maotong Xu, et al. ∙

research

∙ 01/25/2019

Quantum Terrorism: Collective Vulnerability of Global Quantum Systems

The major imminent investments in quantum technologies will bring concep...

N. F. Johnson, et al. ∙

research

∙ 01/26/2019

Hotels-50K: A Global Hotel Recognition Dataset

Recognizing a hotel from an image of a hotel room is important for human...

Abby Stylianou, et al. ∙

research

∙ 04/08/2019

Improved Embeddings with Easy Positive Triplet Mining

Deep metric learning seeks to define an embedding where semantically sim...

Hong Xuan, et al. ∙

research

∙ 04/16/2019

Reproducible Workflow on a Public Cloud for Computational Fluid Dynamics

In a new effort to make our research transparent and reproducible by oth...

Olivier Mesnard, et al. ∙

research

∙ 05/21/2019

SvTPM: A Secure and Efficient vTPM in the Cloud

Virtual Trusted Platform Modules (vTPMs) have been widely used in commer...

Juan Wang, et al. ∙

research

∙ 07/01/2019

Trading Off Computation with Transmission in Status Update Systems

This paper is motivated by emerging edge computing applications in which...

Peng Zou, et al. ∙

research

∙ 07/30/2019

AUC: Nonparametric Estimators and Their Smoothness

Nonparametric estimation of a statistic, in general, and of the error ra...

Waleed A. Yousef, et al. ∙

research

∙ 07/31/2019

A Leisurely Look at Versions and Variants of the Cross Validation Estimator

Many versions of cross-validation (CV) exist in the literature; and each...

Waleed A. Yousef, et al. ∙

research

∙ 09/06/2019

Efficient Sentence Embedding using Discrete Cosine Transform

Vector averaging remains one of the most popular sentence embedding meth...

Nada Almarwani, et al. ∙

research

∙ 09/16/2019

Visualizing How Embeddings Generalize

Deep metric learning is often used to learn an embedding function that c...

Xiaotong Liu, et al. ∙

research

∙ 09/27/2019

SoK: Blockchain Technology and Its Potential Use Cases

Bitcoin's success has led to significant interest in its underlying comp...

Scott Ruoti, et al. ∙

research

∙ 09/28/2019

Overview for the Second Shared Task on Language Identification in Code-Switched Data

We present an overview of the second shared task on language identificat...

Giovanni Molina, et al. ∙

research

∙ 09/28/2019

WASA: A Web Application for Sequence Annotation

Data annotation is an important and necessary task for all NLP applicati...

Fahad AlGhamdi, et al. ∙

research

∙ 09/28/2019

Part of speech tagging for code switched data

We address the problem of Part of Speech tagging (POS) in the context of...

Fahad AlGhamdi, et al. ∙

research

∙ 10/02/2019

Identifying Nuances in Fake News vs. Satire: Using Semantic and Linguistic Cues

The blurry line between nefarious fake news and protected-speech satire ...

Or Levi, et al. ∙

research

∙ 10/08/2019

TraffickCam: Explainable Image Matching For Sex Trafficking Investigations

Investigations of sex trafficking sometimes have access to photographs o...

Abby Stylianou, et al. ∙

research

∙ 11/25/2019

Orienting Ordered Scaffolds: Complexity and Algorithms

Despite the recent progress in genome sequencing and assembly, many of t...

Sergey Aganezov, et al. ∙

research

∙ 12/25/2019

Hopping-Proof and Fee-Free Pooled Mining in Blockchain

The pool-hopping attack casts down the expected profits of both the mini...

Hongwei Shi, et al. ∙

research

∙ 12/16/2019

Engineers Code: reusable open learning modules for engineering computations

Undergraduate programs in science and engineering include at least one c...

Lorena A Barba, et al. ∙

research

∙ 01/04/2020

Timely Status Updating through Intermittent Sensing and Transmission

We consider a novel intermittent status updating model where an energy h...

Omur Ozel, et al. ∙

research

∙ 01/08/2020

Egoistic Incentives Based on Zero-Determinant Alliances for Large-Scale Systems

Social dilemmas exist in various fields and give rise to the so-called f...

Shengling Wang, et al. ∙

research

∙ 02/18/2020

A Distributionally Robust Area Under Curve Maximization Model

Area under ROC curve (AUC) is a widely used performance measure for clas...

Wenbo Ma, et al. ∙

George Washington University

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