
Interpretable Deep Graph Generation with NodeEdge CoDisentanglement
Disentangled representation learning has recently attracted a significan...
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A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources
Heterogeneous graphs (HGs) also known as heterogeneous information netwo...
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RealTime Mapping of Tissue Properties for Magnetic Resonance Fingerprinting
Magnetic resonance Fingerprinting (MRF) is a relatively new multiparame...
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Joint Demosaicing and SuperResolution (JDSR): Network Design and Perceptual Optimization
Image demosaicing and superresolution are two important tasks in color ...
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A generic framework for privacy preserving deep learning
We detail a new framework for privacy preserving deep learning and discu...
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Temporal Network Embedding with Micro and Macrodynamics
Network embedding aims to embed nodes into a lowdimensional space, whil...
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LISA: a MATLAB package for Longitudinal Image Sequence Analysis
Large sequences of images (or movies) can now be obtained on an unpreced...
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PCMTVTFV: A Novel Two Stage Framework for Image Reconstruction from Fourier Data
We propose in this paper a novel twostage Projection Correction Modelin...
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Unsupervised Bump Hunting Using Principal Components
Principal Components Analysis is a widely used technique for dimension r...
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Compressive hyperspectral imaging via adaptive sampling and dictionary learning
In this paper, we propose a new sampling strategy for hyperspectral sign...
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Single image superresolution by approximated Heaviside functions
Image superresolution is a process to enhance image resolution. It is w...
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Twostage Geometric Information Guided Image Reconstruction
In compressive sensing, it is challenging to reconstruct image of high q...
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Inverse stable prior for exponential models
We consider a class of nonconjugate priors as a mixing family of distri...
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ProbabilityScale Residuals in HIV/AIDS Research: Diagnostics and Inference
The probabilityscale residual (PSR) is well defined across a wide varie...
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Logmoment estimators for the generalized Linnik and MittagLeffler distributions with applications to financial modeling
We propose formal estimation procedures for the parameters of the genera...
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The Channel Capacity of Channelrhodopsin and Other IntensityDriven Signal Transduction Receptors
Biological systems transduce signals from their surroundings through a m...
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Thermodynamic Properties of Molecular Communication
In this paper, we consider the energy cost of communicating using molecu...
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AIQL: Enabling Efficient Attack Investigation from System Monitoring Data
The need for countering Advanced Persistent Threat (APT) attacks has led...
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Parameter estimation for fractional Poisson processes
The paper proposes a formal estimation procedure for parameters of the f...
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Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to Xray Image Segmentation
Automatic parsing of anatomical objects in Xray images is critical to m...
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Data depth and floating body
Little known relations of the renown concept of the halfspace depth for ...
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A Query Tool for Efficiently Investigating Risky Software Behaviors
Advanced Persistent Threat (APT) attacks are sophisticated and stealthy,...
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Disease Detection in Weakly Annotated Volumetric Medical Images using a Convolutional LSTM Network
We explore a solution for learning disease signatures from weakly, yet e...
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A Streambased Query System for Efficiently Detecting Abnormal System Behaviors for Enterprise Security
The need for countering Advanced Persistent Threat (APT) attacks has led...
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Locally Differentially Private Naive Bayes Classification
In machine learning, classification models need to be trained in order t...
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Stochastic differential theory of cricket
A new formalism for analyzing the progression of cricket game using Stoc...
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Linear Noise Approximation of IntensityDriven Signal Transduction Channels
Biochemical signal transduction, a form of molecular communication, can ...
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Expanding Label Sets for Graph Convolutional Networks
In recent years, Graph Convolutional Networks (GCNs) and their variants ...
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Vamsa: Tracking Provenance in Data Science Scripts
Machine learning (ML) which was initially adopted for search ranking and...
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Genome Reconstruction Attacks Against Genomic DataSharing Beacons
Sharing genome data in a privacypreserving way stands as a major bottle...
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CollusionResilient Probabilistic Fingerprinting Scheme for Correlated Data
In order to receive personalized services, individuals share their perso...
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Convergent non complete interpolatory quadrature rules
We find a family of convergent schemes of nodes for noncomplete interpo...
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αSatellite: An AIdriven System and Benchmark Datasets for Hierarchical Communitylevel Risk Assessment to Help Combat COVID19
The novel coronavirus and its deadly outbreak have posed grand challenge...
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Tracking and Controlling the Spread of a Virus in a PrivacyPreserving Way
Today, tracking and controlling the spread of a virus is a crucial need ...
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Revisiting Comparative Performance of DNS Resolvers in the IPv6 and ECS Era
This paper revisits the issue of the performance of DNS resolution servi...
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A Novel Regularization Based on the Error Function for Sparse Recovery
Regularization plays an important role in solving illposed problems by ...
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QuantumInspired Classical Algorithm for Principal Component Regression
This paper presents a sublinear classical algorithm for principal compon...
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Genomic Data Sharing under Dependent Local Differential Privacy
Privacypreserving genomic data sharing is prominent to increase the pac...
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A multiorthogonal polynomials' approach to bulk queueing theory
We consider a stationary Markov process that models certain queues with ...
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Case Western Reserve University,
The Allen Memorial Medical Library building serves as the collections hub of the Cleveland Health Sciences Library and home to the Dittrick Medical Hi...