Vanderbilt University

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Vanderbilt University, located in Nashville, Tennessee, is a private research university and medical center offering a full-range of undergraduate, graduate and professional degrees

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 ...
11/03/2020 ∙ by Han Liu, et al. ∙ 20 ∙ share

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Workflow Automation for Cyber Physical System Development Processes

Development of Cyber Physical Systems (CPSs) requires close interaction ...
04/12/2020 ∙ by Charles Hartsell, et al. ∙ 14 ∙ share

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

Biomedical challenges have become the de facto standard for benchmarking...
10/11/2019 ∙ by Manuel Wiesenfarth, et al. ∙ 10 ∙ share

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Reachability Analysis for Feed-Forward Neural Networks using Face Lattices

Deep neural networks have been widely applied as an effective approach t...
03/02/2020 ∙ by Xiaodong Yang, et al. ∙ 8 ∙ share

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

Detection of malicious behavior is a fundamental problem in security. On...
06/20/2019 ∙ by Liang Tong, et al. ∙ 6 ∙ share

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Radon cumulative distribution transform subspace modeling for image classification

We present a new supervised image classification method for problems whe...
04/07/2020 ∙ by Mohammad Shifat-E-Rabbi, et al. ∙ 3 ∙ share

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Generating Multi-label Discrete Patient Records using Generative Adversarial Networks

Access to electronic health record (EHR) data has motivated computationa...
03/19/2017 ∙ by Edward Choi, et al. ∙ 0 ∙ share

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Optimal Detection of Faulty Traffic Sensors Used in Route Planning

In a smart city, real-time traffic sensors may be deployed for various a...
02/08/2017 ∙ by Amin Ghafouri, et al. ∙ 0 ∙ share

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3D Deep Learning for Biological Function Prediction from Physical Fields

Predicting the biological function of molecules, be it proteins or drug-...
04/13/2017 ∙ by Vladimir Golkov, et al. ∙ 0 ∙ share

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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 ...
08/16/2016 ∙ by Ru-Ze Liang, et al. ∙ 0 ∙ share

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Robust High-Dimensional Linear Regression

The effectiveness of supervised learning techniques has made them ubiqui...
08/07/2016 ∙ by Chang Liu, et al. ∙ 0 ∙ share

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Multidefender Security Games

Stackelberg security game models and associated computational tools have...
05/28/2015 ∙ by Jian Lou, et al. ∙ 0 ∙ share

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A General Retraining Framework for Scalable Adversarial Classification

Traditional classification algorithms assume that training and test data...
04/09/2016 ∙ by Bo Li, et al. ∙ 0 ∙ share

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

Item Response Theory (IRT) allows for measuring ability of Machine Learn...
02/27/2017 ∙ by John P. Lalor, et al. ∙ 0 ∙ share

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Controlling Elections through Social Influence

Election control considers the problem of an adversary who attempts to t...
11/23/2017 ∙ by Bryan Wilder, et al. ∙ 0 ∙ share

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

Increasing resource demands require relational databases to scale. While...
10/04/2017 ∙ by Ashish Tapdiya, et al. ∙ 0 ∙ share

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Adversarial Task Allocation

The problem of allocating tasks to workers is of long standing fundament...
09/01/2017 ∙ by Chen Hajaj, et al. ∙ 0 ∙ share

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

For enhancing the privacy protections of databases, where the increasing...
01/22/2018 ∙ by Chao Yan, et al. ∙ 0 ∙ share

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Adversarial Classification on Social Networks

The spread of unwanted or malicious content through social media has bec...
01/24/2018 ∙ by Sixie Yu, et al. ∙ 0 ∙ share

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

Non-recurring traffic congestion is caused by temporary disruptions, suc...
01/30/2018 ∙ by Fangzhou sun, et al. ∙ 0 ∙ share

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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...
02/12/2018 ∙ by Jacek M. Bajor, et al. ∙ 0 ∙ share

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The Hiperwall Visualization Platform for Big Data Research

In the era of Big Data, with the increasing use of large-scale data-driv...
02/26/2018 ∙ by M. Saleem, et al. ∙ 0 ∙ share

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Towards a Socially Optimal Multi-Modal Routing Platform

The increasing rate of urbanization has added pressure on the already co...
02/27/2018 ∙ by Chinmaya Samal, et al. ∙ 0 ∙ share

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

The probability-scale residual (PSR) is well defined across a wide varie...
03/01/2018 ∙ by Bryan E. Shepherd, et al. ∙ 0 ∙ share

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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...
03/31/2018 ∙ by Ashish Tapdiya, et al. ∙ 0 ∙ share

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

Reachability analysis is a fundamental problem for safety verification a...
04/09/2018 ∙ by Hoang-Dung Tran, et al. ∙ 0 ∙ share

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Adversarial Regression for Detecting Attacks in Cyber-Physical Systems

Attacks in cyber-physical systems (CPS) which manipulate sensor readings...
04/30/2018 ∙ by Amin Ghafouri, et al. ∙ 0 ∙ share

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Automated Diagnosis of Clinic Workflows

Outpatient clinics often run behind schedule due to patients who arrive ...
05/06/2018 ∙ by Alex Cheng, et al. ∙ 0 ∙ share

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

Usage control models provide an integration of access control, digital r...
06/26/2018 ∙ by Antonios Gouglidis, et al. ∙ 0 ∙ share

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FHIRChain: Applying Blockchain to Securely and Scalably Share Clinical Data

Secure and scalable data sharing is essential for collaborative clinical...
07/09/2018 ∙ by Peng Zhang, et al. ∙ 0 ∙ share

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Robust Spatial Extent Inference with a Semiparametric Bootstrap Joint Testing Procedure

Spatial extent inference (SEI) is widely used across neuroimaging modali...
08/22/2018 ∙ by Simon N. Vandekar, et al. ∙ 0 ∙ share

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NNCubes: Learned Structures for Visual Data Exploration

Visual exploration of large multidimensional datasets has seen tremendou...
08/27/2018 ∙ by Zhe Wang, et al. ∙ 0 ∙ share

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Uncertainty Propagation in Deep Neural Networks Using Extended Kalman Filtering

Extended Kalman Filtering (EKF) can be used to propagate and quantify in...
09/17/2018 ∙ by Jessica S. Titensky, et al. ∙ 0 ∙ share

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Covariate Distribution Balance via Propensity Scores

The propensity score plays an important role in causal inference with ob...
10/02/2018 ∙ by Pedro H. C. Sant'Anna, et al. ∙ 0 ∙ share

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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...
10/21/2018 ∙ by Sanchita Basak, et al. ∙ 0 ∙ share

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Plan Interdiction Games

We propose a framework for cyber risk assessment and mitigation which mo...
11/15/2018 ∙ by Yevgeniy Vorobeychik, et al. ∙ 0 ∙ share

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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 ...
11/19/2018 ∙ by Seunghwan Cha, et al. ∙ 0 ∙ share

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Regression calibration to correct correlated errors in outcome and exposure

Measurement error arises through a variety of mechanisms. A rich literat...
11/26/2018 ∙ by Pamela Shaw, et al. ∙ 0 ∙ share

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Regularized Ensembles and Transferability in Adversarial Learning

Despite the considerable success of convolutional neural networks in a b...
12/05/2018 ∙ by Yifan Chen, et al. ∙ 0 ∙ share

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A Semiparametric Effect Size Index

Effect size indices are useful tools in study design and reporting becau...
02/19/2019 ∙ by Simon Vandekar, et al. ∙ 0 ∙ share

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CUR Decompositions, Approximations, and Perturbations

This article discusses a useful tool in dimensionality reduction and low...
03/22/2019 ∙ by Keaton Hamm, et al. ∙ 0 ∙ share

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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...
04/03/2019 ∙ by Zhijun Yin, et al. ∙ 0 ∙ share

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

Routine operational use of sensitive data is commonly governed by laws a...
05/16/2019 ∙ by Chao Yan, et al. ∙ 0 ∙ share

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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...
05/30/2019 ∙ by Saptarshi Sengupta, et al. ∙ 0 ∙ share

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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-...
06/09/2019 ∙ by Long Wang, et al. ∙ 0 ∙ share

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Modal-based Kinematics and Contact Detection of Soft Robots

Soft robots offer an alternative approach to manipulate inside the const...
06/27/2019 ∙ by Yue Chen, et al. ∙ 0 ∙ share

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Computational Phenotype Discovery via Probabilistic Independence

Computational Phenotype Discovery research has taken various pragmatic a...
07/25/2019 ∙ by Thomas A. Lasko, et al. ∙ 0 ∙ share

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Perspectives on CUR Decompositions

This note discusses an interesting matrix factorization called the CUR D...
07/29/2019 ∙ by Keaton Hamm, et al. ∙ 0 ∙ share

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Robust Tensor Recovery with Fiber Outliers for Traffic Events

Event detection is gaining increasing attention in smart cities research...
08/27/2019 ∙ by Yue Hu, et al. ∙ 0 ∙ share

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Interval-Permutation Segment Graphs

In this work, we introduce the interval permutation segment (IP-SEG) mod...
08/27/2019 ∙ by Zlatko Joveski, et al. ∙ 0 ∙ share

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