Vanderbilt University

research

∙ 06/03/2021

The Signed Cumulative Distribution Transform for 1-D Signal Analysis and Classification

This paper presents a new mathematical signal transform that is especial...

Akram Aldroubi, et al. ∙

research

∙ 11/03/2020

Uncertainty Estimation in Medical Image Localization: Towards Robust Anterior Thalamus Targeting for Deep Brain Stimulation

Atlas-based methods are the standard approaches for automatic targeting ...

Han Liu, et al. ∙

research

∙ 07/27/2021

Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification

Brain functional connectivity (FC) reveals biomarkers for identification...

Fuad Noman, et al. ∙

research

∙ 04/12/2020

Workflow Automation for Cyber Physical System Development Processes

Development of Cyber Physical Systems (CPSs) requires close interaction ...

Charles Hartsell, et al. ∙

research

∙ 10/11/2019

Methods and open-source toolkit for analyzing and visualizing challenge results

Biomedical challenges have become the de facto standard for benchmarking...

Manuel Wiesenfarth, et al. ∙

research

∙ 03/02/2020

Reachability Analysis for Feed-Forward Neural Networks using Face Lattices

Deep neural networks have been widely applied as an effective approach t...

Xiaodong Yang, et al. ∙

research

∙ 06/20/2019

Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning

Detection of malicious behavior is a fundamental problem in security. On...

Liang Tong, et al. ∙

research

∙ 09/13/2021

Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation

Automatic methods to segment the vestibular schwannoma (VS) tumors and t...

Han Liu, et al. ∙

research

∙ 04/07/2020

Radon cumulative distribution transform subspace modeling for image classification

We present a new supervised image classification method for problems whe...

Mohammad Shifat-E-Rabbi, et al. ∙

research

∙ 03/19/2017

Generating Multi-label Discrete Patient Records using Generative Adversarial Networks

Access to electronic health record (EHR) data has motivated computationa...

Edward Choi, et al. ∙

research

∙ 02/08/2017

Optimal Detection of Faulty Traffic Sensors Used in Route Planning

In a smart city, real-time traffic sensors may be deployed for various a...

Amin Ghafouri, et al. ∙

research

∙ 04/13/2017

3D Deep Learning for Biological Function Prediction from Physical Fields

Predicting the biological function of molecules, be it proteins or drug-...

Vladimir Golkov, et al. ∙

research

∙ 08/16/2016

A novel transfer learning method based on common space mapping and weighted domain matching

In this paper, we propose a novel learning framework for the problem of ...

Ru-Ze Liang, et al. ∙

research

∙ 08/07/2016

Robust High-Dimensional Linear Regression

The effectiveness of supervised learning techniques has made them ubiqui...

Chang Liu, et al. ∙

research

∙ 05/28/2015

Multidefender Security Games

Stackelberg security game models and associated computational tools have...

Jian Lou, et al. ∙

research

∙ 04/09/2016

A General Retraining Framework for Scalable Adversarial Classification

Traditional classification algorithms assume that training and test data...

Bo Li, et al. ∙

research

∙ 02/27/2017

CIFT: Crowd-Informed Fine-Tuning to Improve Machine Learning Ability

Item Response Theory (IRT) allows for measuring ability of Machine Learn...

John P. Lalor, et al. ∙

research

∙ 11/23/2017

Controlling Elections through Social Influence

Election control considers the problem of an adversary who attempts to t...

Bryan Wilder, et al. ∙

research

∙ 10/04/2017

A Comparative Analysis of Materialized Views Selection and Concurrency Control Mechanisms in NoSQL Databases

Increasing resource demands require relational databases to scale. While...

Ashish Tapdiya, et al. ∙

research

∙ 09/01/2017

Adversarial Task Allocation

The problem of allocating tasks to workers is of long standing fundament...

Chen Hajaj, et al. ∙

research

∙ 01/22/2018

Get Your Workload in Order: Game Theoretic Prioritization of Database Auditing

For enhancing the privacy protections of databases, where the increasing...

Chao Yan, et al. ∙

research

∙ 01/24/2018

Adversarial Classification on Social Networks

The spread of unwanted or malicious content through social media has bec...

Sixie Yu, et al. ∙

research

∙ 01/30/2018

DxNAT - Deep Neural Networks for Explaining Non-Recurring Traffic Congestion

Non-recurring traffic congestion is caused by temporary disruptions, suc...

Fangzhou sun, et al. ∙

research

∙ 02/12/2018

Embedding Complexity In the Data Representation Instead of In the Model: A Case Study Using Heterogeneous Medical Data

Electronic Health Records have become popular sources of data for second...

Jacek M. Bajor, et al. ∙

research

∙ 02/26/2018

The Hiperwall Visualization Platform for Big Data Research

In the era of Big Data, with the increasing use of large-scale data-driv...

M. Saleem, et al. ∙

research

∙ 02/27/2018

Towards a Socially Optimal Multi-Modal Routing Platform

The increasing rate of urbanization has added pressure on the already co...

Chinmaya Samal, et al. ∙

research

∙ 03/01/2018

Probability-Scale Residuals in HIV/AIDS Research: Diagnostics and Inference

The probability-scale residual (PSR) is well defined across a wide varie...

Bryan E. Shepherd, et al. ∙

research

∙ 03/31/2018

A comparative analysis of state-of-the-art SQL-on-Hadoop systems for interactive analytics

Hadoop is emerging as the primary data hub in enterprises, and SQL repre...

Ashish Tapdiya, et al. ∙

research

∙ 04/09/2018

Simulation-Based Reachability Analysis for High-Index Large Linear Differential Algebraic Equations

Reachability analysis is a fundamental problem for safety verification a...

Hoang-Dung Tran, et al. ∙

research

∙ 04/30/2018

Adversarial Regression for Detecting Attacks in Cyber-Physical Systems

Attacks in cyber-physical systems (CPS) which manipulate sensor readings...

Amin Ghafouri, et al. ∙

research

∙ 05/06/2018

Automated Diagnosis of Clinic Workflows

Outpatient clinics often run behind schedule due to patients who arrive ...

Alex Cheng, et al. ∙

research

∙ 06/26/2018

Formal Verification of Usage Control Models: A Case Study of UseCON Using TLA+

Usage control models provide an integration of access control, digital r...

Antonios Gouglidis, et al. ∙

research

∙ 07/09/2018

FHIRChain: Applying Blockchain to Securely and Scalably Share Clinical Data

Secure and scalable data sharing is essential for collaborative clinical...

Peng Zhang, et al. ∙

research

∙ 08/22/2018

Robust Spatial Extent Inference with a Semiparametric Bootstrap Joint Testing Procedure

Spatial extent inference (SEI) is widely used across neuroimaging modali...

Simon N. Vandekar, et al. ∙

research

∙ 08/27/2018

NNCubes: Learned Structures for Visual Data Exploration

Visual exploration of large multidimensional datasets has seen tremendou...

Zhe Wang, et al. ∙

research

∙ 09/17/2018

Uncertainty Propagation in Deep Neural Networks Using Extended Kalman Filtering

Extended Kalman Filtering (EKF) can be used to propagate and quantify in...

Jessica S. Titensky, et al. ∙

research

∙ 10/02/2018

Covariate Distribution Balance via Propensity Scores

The propensity score plays an important role in causal inference with ob...

Pedro H. C. Sant'Anna, et al. ∙

research

∙ 10/21/2018

A Data-driven Prognostic Architecture for Online Monitoring of Hard Disks Using Deep LSTM Networks

With the advent of pervasive cloud computing technologies, service relia...

Sanchita Basak, et al. ∙

research

∙ 11/15/2018

Plan Interdiction Games

We propose a framework for cyber risk assessment and mitigation which mo...

Yevgeniy Vorobeychik, et al. ∙

research

∙ 11/19/2018

Quantifying Human Behavior on the Block Design Test Through Automated Multi-Level Analysis of Overhead Video

The block design test is a standardized, widely used neuropsychological ...

Seunghwan Cha, et al. ∙

research

∙ 11/26/2018

Regression calibration to correct correlated errors in outcome and exposure

Measurement error arises through a variety of mechanisms. A rich literat...

Pamela Shaw, et al. ∙

research

∙ 12/05/2018

Regularized Ensembles and Transferability in Adversarial Learning

Despite the considerable success of convolutional neural networks in a b...

Yifan Chen, et al. ∙

research

∙ 02/19/2019

A Semiparametric Effect Size Index

Effect size indices are useful tools in study design and reporting becau...

Simon Vandekar, et al. ∙

research

∙ 03/22/2019

CUR Decompositions, Approximations, and Perturbations

This article discusses a useful tool in dimensionality reduction and low...

Keaton Hamm, et al. ∙

research

∙ 04/03/2019

Health and Kinship Matter: Learning About Direct-To-Consumer Genetic Testing User Experiences via Online Discussions

Direct-to-consumer (DTC) genetic testing has gained in popularity over t...

Zhijun Yin, et al. ∙

research

∙ 05/16/2019

To Warn or Not to Warn: Online Signaling in Audit Games

Routine operational use of sensitive data is commonly governed by laws a...

Chao Yan, et al. ∙

research

∙ 05/30/2019

A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends

Deep learning (DL) has solved a problem that as little as five years ago...

Saptarshi Sengupta, et al. ∙

research

∙ 06/09/2019

Simplified Kinematics of Continuum Robot Equilibrium Modulation via Moment Coupling Effects and Model Calibration

Recently, a new concept for continuum robots capable of producing macro-...

Long Wang, et al. ∙

research

∙ 06/27/2019

Modal-based Kinematics and Contact Detection of Soft Robots

Soft robots offer an alternative approach to manipulate inside the const...

Yue Chen, et al. ∙

research

∙ 07/25/2019

Computational Phenotype Discovery via Probabilistic Independence

Computational Phenotype Discovery research has taken various pragmatic a...

Thomas A. Lasko, et al. ∙

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