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Ruoxi Jia
Ismini Lourentzou
Anuj Karpatne
Hoda Eldardiry
Jia-Bin Huang
Mark Embree
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Lenwood Heath
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Sara Hooshangi
Edward Fox
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Jiaming Cui
Leanna L. House
Song Li
Sanmay Das
Bo Ji
Scotland C. Leman
Chang-Tien Lu
Murat Kantarcioglu
Chris North
Tu Vu
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Abhijit Sarkar
Ming Jin
Eugenia Rho
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Patrick Butler
Rashed Shelim
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Ishtiaque Ahmed Khan
Min Zhang
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Thinh Pham
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Matthew Zheng
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Siji Chen
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Sanghani Center for Artificial Intelligence and Data Analytics
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2017
Privacy risks in recommender systems
Studying recommendation algorithms by graph analysis
Data mining: from serendipity to science
Turning CARTwheels: an alternating algorithm for mining redescriptions
Reasoning about sets using redescription mining
Sustainable operation and management of data center chillers using temporal data mining
Integrated Computing Environments for Watershed Management
Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction
Analyzing Invariants in Cyber-Physical Systems using Latent Factor Regression
Multi-Task Learning for Spatio-Temporal Event Forecasting
Charging and Storage Infrastructure Design for Electric Vehicles
Modeling mass protest adoption in social network communities using geometric brownian motion
The role of interactive biclusters in sensemaking
AutoLCA: A Framework for Sustainable Redesign and Assessment of Products
Hidden Hazards: Finding Missing Nodes in Large Graph Epidemics
Competing Memes Propagation on Networks: A Network Science Perspective
Patterns amongst Competing Task Frequencies: Super-Linearities, and the Almond-DG Model
Flu Gone Viral: Syndromic Surveillance of Flu on Twitter Using Temporal Topic Models
Misinformation Propagation in the Age of Twitter
Uncovering the plot: detecting surprising coalitions of entities in multi-relational schemas
Detection of stealthy malware activities with traffic causality and scalable triggering relation discovery
Satellite Imagery Analysis: What Can Hospital Parking Lots Tell Us about a Disease Outbreak?
Analyzing Civil Unrest through Social Media
How to “alternatize” a clustering algorithm
Epidemiological modeling of news and rumors on Twitter
Bixplorer: Visual Analytics with Biclusters
Node Immunization on Large Graphs: Theory and Algorithms
Data-Aware Vaccine Allocation over Large Networks
Approximation Algorithms for Reducing the Spectral Radius to control Epidemic Spread
SharkFin: Spatio-temporal mining of software adoption and penetration
SansText: Classifying temporal topic dynamics of Twitter cascades without tweet text
Fast influence-based coarsening for large networks
Efficiently spotting the starting points of an epidemic in a large graph
Experiences with mining temporal event sequences from electronic medical records
Scalable Vaccine Distribution in Large Graphs given Uncertain Data
Syndromic surveillance of Flu on Twitter using weakly supervised temporal topic models
Paired-Dual Learning for Training Hinge-Loss MRFs with Latent Variables
The Benefits of Learning with Strongly Convex Approximate Inference
Unifying Local Consistency Relaxations for Scalable Inference with Rounding Guarantees
Hinge-Loss Markov Random Fields: Convex Inference for Structured Prediction
Diverse M-Best Solutions in Markov Random Fields
CloudCV: Large Scale Distributed Computer Vision as a Cloud Service
Scatter/gather clustering: flexibly incorporating user feedback to steer clustering results
Reverse engineering dynamic temporal models of biological processes and their relationships
Semisupervised learning of hidden Markov models via a homotopy method
Algorithm 897: VTDIRECT95: serial and parallel codes for the global optimization algorithm DIRECT
Algorithm 777: HOMPACK90: A suite of Fortran 90 codes for globally convergent homotopy algorithms
Bayesian Visual Analytics: BaVA
Visual to Parametric Interaction (V2PI)
Improving Mr. Myagi’s Coaching Style: Teaching Data Analytics with Interactive Data Visualizations
Observationlevel Interaction with Statistical Models for Visual Analytics
VQA: Visual Question Answering
Learning Common Sense Through Visual Abstraction
Don't Just Listen, Use Your Imagination: Leveraging Visual Common Sense for Non-Visual Tasks
WhittleSearch: Interactive Image Search with Relative Attribute Feedback
Adopting Abstract Images for Semantic Scene Understanding
Prediction using Propagation: From Flu-Trends to Cyber Security
SimNest: Social Media Nested Epidemic Simulation via Online Semi-supervised Deep Learning
Unsupervised Spatial Event Detection in Targeted Domains with Applications to Civil Unrest Modeling
Identifying Splicing Regulatory Elements with de Bruijn Graphs
A System to Automatically Classify and Name Any Individual Genome-Sequenced Organism Independently of Current Biological Classification and Nomenclature
Mining Posets from Linear Orders
Generating random graphs with tunable clustering coefficients
A Theoretical Model for Whole Genome Alignment
Stability and Generalization in Structured Prediction
Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators
Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions
The Deshredder: A Visual Analytic Approach to Deconstructing Shredded Documents
Storytelling in Entity Networks to Support Intelligence Analysts
Coordinated Clustering Algorithms to Support Charging Infrastructure Design for Electric Vehicles
Virtual Shop Clusters – A New Layout Concept for a Ship Repair and Maintenance Facility
Modeling Mass Protest Adoption in Social Network Communities using Geometric Brownian Motion.
Pricing a Protest: Forecasting the Dynamics of Civil Unrest Activity in Social Media
Model-Based Forecasting of Significant Societal Events
How events unfold: Spatiotemporal mining in social media
Bayesian Model Fusion for Forecasting Civil Unrest
ThemeDelta: Dynamic Segmentations over Temporal Topic Models
Planned Protest Modeling in News and Social Media
Uncovering News-Twitter Reciprocity via Interaction Patterns
Combining Heterogeneous Data Sources for Civil Unrest Forecasting
Dynamic theme tracking in Twitter
Unearthing Stealthy Program Attacks Buried in Extremely Long Execution Paths
Online denoising of discrete noisy data
Time series forecasting via noisy channel reversal
Concurrent Inference of Topic Models and Distributed Vector Representations
SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources
Spatiotemporal Event Forecasting in Social Media
An improved probability-one homotopy map for tracking constrained clustering solutions
Capturing Planned Protests from Open Source Indicators
Causality reasoning about network events for detecting stealthy malware activities
Big Data
Syndromic surveillance of Flu on Twitter using weakly supervised temporal topic models
A framework for intelligence analysis using spatio-temporal storytelling
Automatic targeted-domain spatiotemporal event detection in twitter
The big data of violent events: algorithms for association analysis using spatio-temporal storytelling
Multi-source models for civil unrest forecasting
Online Spatial Event Forecasting in Microblogs
BiSet: Semantic Edge Bundling with Biclusters for Sensemaking
Inferring Multi-Dimensional Ideal Points for US Supreme Court Justices
Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors
Topical Analysis of Interactions Between News and Social Media
Wikipedia in the Tourism Industry: Forecasting Demand and Modeling Usage Behavior
Predicting the shape and peak time of news article views
Causality-based Sensemaking of Network Traffic for Android Application Security
A Multiple Instance Learning Framework for Identifying Key Sentences and Detecting Events
Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach
Automatical Storyline Generation with Help from Twitter
Multi-resolution Spatial Event Forecasting in Social Media
EMBERS AutoGSR: Automated Coding of Civil Unrest Events
Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning
Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting
Leveraging Propagation for Data Mining: Models, Algorithms and Applications
Predicting the Popularity of News Articles
Seeing the forest for the trees: new approaches to forecasting cascades
AVIST: A GPU-Centric Design for Visual Exploration of Large Multidimensional Datasets
Interactive Graph Layout of a Million Nodes
Be the Data: Social Meetings with Visual Analytics
Bridging the gap between user intention and model parameters for human-in-the-loop data analytics
Semantic Interaction: Coupling Cognition and Computation through Usable Interactive Analytics
Big Text Visual Analytics in Sensemaking
Visualizing Traffic Causality for Analyzing Network Anomalies
Four considerations for supporting visual analysis in display ecologies
Spectrum: A visual analytics tool to explore movement logs
Bandlimited OLAP cubes for interactive big data visualization
A topic-focused trust model for Twitter
A Framework for Discovering Evolving Domain Related Spatio-Temporal Patterns in Twitter
Urban Traffic Flow Prediction Using a Spatio-Temporal Random Effects Model
Discovering Anomalies on Mixed-Type Data Using a Generalized Student- t Based Approach
Storytelling in heterogeneous Twitter entity network based on hierarchical cluster routing
DISTL: Distributed In-Memory Spatio-Temporal Event-based Storyline Categorization Platform in Social Media
DERIV: Distributed In-Memory Brand Perception Tracking Framework
Automatic Outlier Detection in Music Genre Datasets
EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System
An Unsupervised Approach to Anomaly Detection in Music Datasets
Fast adaptive kernel density estimator for data streams
Find the butterfly: a social media based arterial incidents detection and causality analysis system
DIFPL - Distributed Drone Flight Path Builder System
Steds: Social Media Based Transportation Event Detection with Text Summarization
Multiobjective optimization using an adaptive weighting scheme
Security Optimization of Dynamic Networks with Probabilistic Graph Modeling and Linear Programming
UPS-indel: A better approach for finding indel redundancy
HMMvar-func: a new method for predicting the functional outcome of genetic variants
A Framework to Analyze the Performance of Load Balancing Schemes for Ensembles of Stochastic Simulations
Aircraft Design Markup Language for Multidisciplinary Aircraft Design and Analysis
Performance analysis of a novel GPU computation-to-core mapping scheme for robust facet image modeling
An improved probability-one homotopy map for tracking constrained clustering solutions
Biometric authentication using photoplethysmography signals
An Image Dataset of Text Patches in Everyday Scenes
A multi-modal feature fusion framework for kinect-based facial expression recognition using Dual Kernel Discriminant Analysis (DKDA)
Fast inspection for size-based analysis in aggregate processing
ECG biometric authentication using a dynamical model
VT-KFER: A Kinect-based RGBD+time dataset for spontaneous and non-spontaneous facial expression recognition
SnapNETS: Automatic Segmentation of Network Sequences with Node Labels
Detecting Large Reshare Cascades in Social Networks
Eigen-Optimization on Large Graphs by Edge Manipulation
Node Immunization on Large Graphs: Theory and Algorithms
Near-Optimal Algorithms for Controlling Propagation at Group Scale on Networks
URBAN-NET: A network-based infrastructure monitoring and analysis system for emergency management and public safety
Segmenting Sequences of Node-Labeled Graphs
Reconstructing an Epidemic Over Time
Unstable Communities in Network Ensembles
Ensemble Models for Data-driven Prediction of Malware Infections
Data-Aware Vaccine Allocation Over Large Networks
Mining Unstable Communities from Network Ensembles
Approximation Algorithms for Reducing the Spectral Radius to Control Epidemic Spread
A Weakly Supervised Approach for Adaptive Detection of Cyberbullying Roles
Joint Models of Disagreement and Stance in Online Debate
DeNovo: virus-host sequence-based protein–protein interaction prediction
Labeled cuts in graphs
CoSREM: a graph mining algorithm for the discovery of combinatorial splicing regulatory elements
Media use during conflicts: Information seeking and political efficacy during the 2012 Mexican elections
Automated arabic text classification with P-Stemmer, machine learning, and a tailored news article taxonomy
Results of a digital library curriculum field test
Identifying Product Defects from User Complaints: A Probabilistic Defect Model
The Use and Impact of Social Media during the 2011 Tunisian Revolution
Big Data Processing of School Shooting Archives
Big Data Text Summarization for Events: A Problem Based Learning Course
Using Transactional Web Archives To Handle Server Errors
Read between the lines: A Machine Learning Approach for Disambiguating the Geo-location of Tweets
PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering
Predicting Complications in Critical Care Using Heterogeneous Clinical Data
A distributed ensemble approach for mining healthcare data under privacy constraints
Transfer learning for class imbalance problems with inadequate data
RODS: Rarity based Outlier Detection in a Sparse Coding Framework
A Bayesian Perspective on Early Stage Event Prediction in Longitudinal Data
Survival Analysis based Framework for Early Prediction of Student Dropouts
CRISP: Consensus Regularized Selection based Prediction
Transfer learning for class imbalance problems with inadequate data
L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization
Feature Grouping Using Weighted l1 Norm for High-Dimensional Data
A Multi-Task Learning Formulation for Survival Analysis
Early-Stage Event Prediction for Longitudinal Data
Regularized Weighted Linear Regression for High-dimensional Censored Data
Regularized Parametric Regression for High-dimensional Survival Analysis
Project Success Prediction in Crowdfunding Environments
Probabilistic Group Recommendation Model for Crowdfunding Domains
Constrained elastic net based knowledge transfer for healthcare information exchange
Weakly supervised nonnegative matrix factorization for user-driven clustering
Predicting gene functions from multiple biological sources using novel ensemble methods
Doubly supervised embedding based on class labels and intrinsic clusters for high-dimensional data visualization
Biclustering neighborhood-based collaborative filtering method for top-n recommender systems
Geographical Latent Variable Models for Microblog Retrieval
Project Recommendation Using Heterogeneous Traits in Crowdfunding
Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization
Spatial Event Forecasting in Social Media With Geographically Hierarchical Regularization
Forecasting rare disease outbreaks from open source indicators
Long-Span Program Behavior Modeling and Attack Detection
Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting
DERIV: distributed brand perception tracking framework
Spatial Prediction for Multivariate Non-Gaussian Data
Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data
Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media
Tracking Multiple Social Media for Stock Market Event Prediction
GELL: Automatic Extraction of Epidemiological Line Lists from Open Sources
A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation
Gaussian Process Models in Spatial Data Mining
Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources
New methods to generate massive synthetic networks
Observation-Level Interaction with Clustering and Dimension Reduction Algorithms
The Signals and Systems Approach to Animation
Online and Distributed Robust Regressions Under Adversarial Data Corruption
Concurrency Control for Spatial Access Method
Geography Markup Language (GML)
Nearest Neighbor Query
Outlier Detection, Spatial
Multimodal Storytelling via Generative Adversarial Imitation Learning
Learning to Fuse Music Genres with Generative Adversarial Dual Learning
SAFEBIKE: A Bike-sharing Route Recommender with Availability Prediction and Safe Routing
Predicting network modules of cell cycle regulators using relative protein abundance statistics
Global deterministic and stochastic optimization in a service oriented architecture
Scaling constituent algorithms of a trend and change detection polyalgorithm
Input Fast-Forwarding for Better Deep Learning
Improved Face and Head Detection Based on Traditional Middle Eastern Clothing
Universal Skin Detection Without Color Information
Optimal Threshold and LoG Based Feature Identification and Tracking of Bat Flapping Flight
Assessment of Peanut Pod Maturity
Outlier Detection for Sensor Systems (ODSS): A MATLAB Macro for Evaluating Microphone Sensor Data Quality
Modeling bike availability in a bike-sharing system using machine learning
Distributed Representations of Subgraphs
Classifying Short Unstructured Data Using the Apache Spark Platform
Web Archiving and Digital Libraries (WADL) 2016: Highlights and Introduction to this Special Issue
Media use by young Tunisians during the 2011 revolution vs 2014 elections
Advancing library cyberinfrastructure for big data sharing and reuse
Bioinformatics of DNA [Scanning the Issue]
Beacon Editor: Capturing Signal Transduction Pathways Using the Systems Biology Graphical Notation Activity Flow Language
PEAK: Integrating Curated and Noisy Prior Knowledge in Gene Regulatory Network Inference
MicroTarget: MicroRNA target gene prediction approach with application to breast cancer
Machine Learning for Survival Analysis: A Survey
Probabilistic Social Sequential Model for Tour Recommendation
A Probabilistic Geographical Aspect-Opinion Model for Geo-Tagged Microblogs
ICA based single microphone Blind Speech Separation technique using non-linear estimation of speech
Prediction and imputation in irregularly sampled clinical time series data using hierarchical linear dynamical models
Pre-Processing Censored Survival Data Using Inverse Covariance Matrix Based Calibration
An Individualized Super-Gaussian Single Microphone Speech Enhancement for Hearing Aid Users With Smartphone as an Assistive Device
Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight
Weighted Inner Products for GMRES and GMRES-DR
Pseudospectra of Matrix Pencils for Transient Analysis of Differential-Algebraic Equations
HOMER: An Interactive System for Home Based Stroke Rehabilitation
Unsupervised Representation Learning by Sorting Sequences
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
Determining Relative Airport Threats from News and Social Media
CATrust: Context-Aware Trust Management for Service-Oriented Ad Hoc Networks
SAViL: cross-display visual links for sensemaking in display ecologies
Be the Data: Embodied Visual Analytics
Towards a Systematic Combination of Dimension Reduction and Clustering in Visual Analytics
Misery Digraphs: Delaying Intrusion Attacks in Obscure Clouds
Focused crawler for events
Postproduction in Game Cinematics
Quasi-Newton Stochastic Optimization Algorithm for Parameter Estimation of a Stochastic Model of the Budding Yeast Cell Cycle
Detection of Repackaged Android Malware with Code-Heterogeneity Features
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