Browsing Duke Scholarly Works by Affiliation of Duke Author(s) "Computer Science"
Now showing items 1-20 of 110
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A Bayesian Approach to Graphical Record Linkage and Deduplication
(Journal of the American Statistical Association, 2016-10-01)© 2016 American Statistical Association.We propose an unsupervised approach for linking records across arbitrarily many files, while simultaneously detecting duplicate records within files. Our key innovation involves the ... -
A branching process model for flow cytometry and budding index measurements in cell synchrony experiments.
(Ann Appl Stat, 2009)We present a flexible branching process model for cell population dynamics in synchrony/time-series experiments used to study important cellular processes. Its formulation is constructive, based on an accounting of the unique ... -
A Case for Quantifying Statistical Robustness of Specialized Probabilistic AI Accelerators
(2019 IBM IEEE CAS/EDS – AI Compute Symposium, 2019-10-02) -
A Cheeger-type inequality on simplicial complexes
(ADVANCES IN APPLIED MATHEMATICS, 2014-05) -
A Digital Network Approach to Infer Sex Behavior in Emerging HIV Epidemics
(PLOS ONE, 2014-07-03) -
A framework for integrating the songbird brain.
(J Comp Physiol A Neuroethol Sens Neural Behav Physiol, 2002-12)Biological systems by default involve complex components with complex relationships. To decipher how biological systems work, we assume that one needs to integrate information over multiple levels of complexity. The songbird ... -
A General Framework for Adversarial Examples with Objectives
(ACM Transactions on Privacy and Security, 2019-07-19) -
A nucleosome-guided map of transcription factor binding sites in yeast.
(PLoS Comput Biol, 2007-11)Finding functional DNA binding sites of transcription factors (TFs) throughout the genome is a crucial step in understanding transcriptional regulation. Unfortunately, these binding sites are typically short and degenerate, ... -
A phylogenetic transform enhances analysis of compositional microbiota data.
(Elife, 2017-02-15)Surveys of microbial communities (microbiota), typically measured as relative abundance of species, have illustrated the importance of these communities in human health and disease. Yet, statistical artifacts commonly plague ... -
A Quantitative Approach to Predict Differential Effects of Anti-VEGF Treatment on Diffuse and Focal Leakage in Patients with Diabetic Macular Edema: A Pilot Study.
(Translational vision science & technology, 2017-03-21)We use semiautomated segmentation of fluorescein angiography (FA) to determine whether anti-vascular endothelial growth factor (VEGF) treatment for diabetic macular edema (DME) differentially affects microaneurysm (MA)-associated ... -
A Spatio-temporal Coupling Method to Reduce the Time-to-Solution of Cardiovascular Simulations
(http://ieeexplore.ieee.org/abstract/document/6877292/, 2017-01-28)We present a new parallel-in-time method designed to reduce the overall time-to-solution of a patient-specific cardiovascular flow simulation. Using a modified Para real algorithm, our approach extends strong scalability ... -
Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation.
(CoRR, 2020)We propose a matching method for observational data that matches units with others in unit-specific, hyper-box-shaped regions of the covariate space. These regions are large enough that many matches are created for each ... -
Advances to Bayesian network inference for generating causal networks from observational biological data.
(Bioinformatics, 2004-12-12)MOTIVATION: Network inference algorithms are powerful computational tools for identifying putative causal interactions among variables from observational data. Bayesian network inference algorithms hold particular promise ... -
Analysis and Observations From the First Amazon Picking Challenge
(IEEE Transactions on Automation Science and Engineering, 2016) -
Applying machine learning to investigate long-term insect-plant interactions preserved on digitized herbarium specimens.
(Applications in plant sciences, 2020-06)Premise:Despite the economic significance of insect damage to plants (i.e., herbivory), long-term data documenting changes in herbivory are limited. Millions of pressed plant specimens are now available online and can be ... -
Architectural implications of nanoscale-integrated sensing and computing
(IEEE Micro, 2010-01-01)The authors explore nanoscale sensor processor (nSP) architectures. Their design includes a simple accumulator-based instruction-set architecture, sensors, limited memory, and instruction-fused sensing. Using nSP technology ... -
Attack-resilient sensor fusion for safety-critical cyber-physical systems
(ACM Transactions on Embedded Computing Systems, 2016-02-01)© 2016 ACM.This article focuses on the design of safe and attack-resilient Cyber-Physical Systems (CPS) equipped with multiple sensors measuring the same physical variable. A malicious attacker may be able to disrupt system ... -
Attack-Resilient State Estimation in the Presence of Noise
We consider the problem of attack-resilient state estimation in the presence of noise. We focus on the most general model for sensor attacks where {any} signal can be injected via the compromised sensors. An $l_0$-based ... -
AugmentedPCA: A Python Package of Supervised and Adversarial Linear Factor Models
(NeurIPS Workshop on Learning Meaningful Representations of Life, 2021) -
Automatic segmentation of seven retinal layers in SDOCT images congruent with expert manual segmentation.
(Opt Express, 2010-08-30)Segmentation of anatomical and pathological structures in ophthalmic images is crucial for the diagnosis and study of ocular diseases. However, manual segmentation is often a time-consuming and subjective process. This paper ...
