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Results for: Naren Ramakrishnan

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Privacy risks in recommender systems
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Syndromic surveillance of Flu on Twitter using weakly supervised temporal topic models
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Tracking Multiple Social Media for Stock Market Event Prediction
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Uncovering the plot: detecting surprising coalitions of entities in multi-relational schemas
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Uncovering News-Twitter Reciprocity via Interaction Patterns
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Towards a Systematic Combination of Dimension Reduction and Clustering in Visual Analytics
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The Deshredder: A Visual Analytic Approach to Deconstructing Shredded Documents
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Unsupervised Spatial Event Detection in Targeted Domains with Applications to Civil Unrest Modeling
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Time series forecasting via noisy channel reversal
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Turning CARTwheels: an alternating algorithm for mining redescriptions
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Syndromic surveillance of Flu on Twitter using weakly supervised temporal topic models
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The role of interactive biclusters in sensemaking
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Reasoning about sets using redescription mining
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AutoLCA: A Framework for Sustainable Redesign and Assessment of Products
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Modeling mass protest adoption in social network communities using geometric brownian motion
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Bixplorer: Visual Analytics with Biclusters
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Experiences with mining temporal event sequences from electronic medical records
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Sustainable operation and management of data center chillers using temporal data mining
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Epidemiological modeling of news and rumors on Twitter
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Wikipedia in the Tourism Industry: Forecasting Demand and Modeling Usage Behavior
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Analyzing Invariants in Cyber-Physical Systems using Latent Factor Regression
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Studying recommendation algorithms by graph analysis
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Detection of stealthy malware activities with traffic causality and scalable triggering relation discovery
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Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction
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How to “alternatize” a clustering algorithm
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Charging and Storage Infrastructure Design for Electric Vehicles
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Data mining: from serendipity to science
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SansText: Classifying temporal topic dynamics of Twitter cascades without tweet text
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Distributed Representations of Subgraphs
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Integrated Computing Environments for Watershed Management
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Flu Gone Viral: Syndromic Surveillance of Flu on Twitter Using Temporal Topic Models
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Analyzing Civil Unrest through Social Media
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Misinformation Propagation in the Age of Twitter
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Multi-Task Learning for Spatio-Temporal Event Forecasting
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Satellite Imagery Analysis: What Can Hospital Parking Lots Tell Us about a Disease Outbreak?
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ThemeDelta: Dynamic Segmentations over Temporal Topic Models
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Topical Analysis of Interactions Between News and Social Media
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Unearthing Stealthy Program Attacks Buried in Extremely Long Execution Paths
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Determining Relative Airport Threats from News and Social Media
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EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System
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EMBERS AutoGSR: Automated Coding of Civil Unrest Events
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Characterizing Diseases from Unstructured Text: A Vocabulary Driven Word2vec Approach
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Automatical Storyline Generation with Help from Twitter
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Leveraging Propagation for Data Mining: Models, Algorithms and Applications
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Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting
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Multi-resolution Spatial Event Forecasting in Social Media
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Seeing the forest for the trees: new approaches to forecasting cascades
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Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media
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Spatial Event Forecasting in Social Media With Geographically Hierarchical Regularization
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Long-Span Program Behavior Modeling and Attack Detection
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Planned Protest Modeling in News and Social Media
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Model-Based Forecasting of Significant Societal Events
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Big Data
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Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors
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Multi-source models for civil unrest forecasting
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BiSet: Semantic Edge Bundling with Biclusters for Sensemaking
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SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources
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Pricing a Protest: Forecasting the Dynamics of Civil Unrest Activity in Social Media
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Causality reasoning about network events for detecting stealthy malware activities
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Predicting the shape and peak time of news article views
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The big data of violent events: algorithms for association analysis using spatio-temporal storytelling
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A framework for intelligence analysis using spatio-temporal storytelling
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Automatic targeted-domain spatiotemporal event detection in twitter
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Causality-based Sensemaking of Network Traffic for Android Application Security
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Coordinated Clustering Algorithms to Support Charging Infrastructure Design for Electric Vehicles
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Inferring Multi-Dimensional Ideal Points for US Supreme Court Justices
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Spatiotemporal Event Forecasting in Social Media
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Online Spatial Event Forecasting in Microblogs
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Bayesian Model Fusion for Forecasting Civil Unrest
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Online denoising of discrete noisy data
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An improved probability-one homotopy map for tracking constrained clustering solutions
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Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data
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Gaussian Process Models in Spatial Data Mining
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Forecasting rare disease outbreaks from open source indicators
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A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation
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New methods to generate massive synthetic networks
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Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting
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GELL: Automatic Extraction of Epidemiological Line Lists from Open Sources
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Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open Sources
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A Multiple Instance Learning Framework for Identifying Key Sentences and Detecting Events
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Predicting the Popularity of News Articles
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Modeling Precursors for Event Forecasting via Nested Multi-Instance Learning
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Pipelines and their Compositions for Modeling and Analysis of controlled Online Networked Social Science Experiments
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Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids
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Incorporating Prior Domain Knowledge into Deep Neural Networks
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Sub2Vec: Feature Learning for Subgraphs
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Forecasting Gang Homicides with Multi-level Multi-task Learning
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Neural Abstractive Text Summarization with Sequence-to-Sequence Models
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Deep Reinforcement Learning For Sequence to Sequence Models
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Generative Modeling of Human Behavior and Social Interactions Using Abductive Analysis
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DeepDiffuse: Predicting the 'Who' and 'When' in Cascades
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SIGNet: Scalable Embeddings for Signed Networks
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Multi-Task Learning for Transit Service Disruption Detection
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Mining Posets from Linear Orders
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Forecasting a Moving Target: Ensemble Models for ILI Case Count Predictions
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Storytelling in Entity Networks to Support Intelligence Analysts
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SimNest: Social Media Nested Epidemic Simulation via Online Semi-supervised Deep Learning
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Scatter/gather clustering: flexibly incorporating user feedback to steer clustering results
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Concurrent Inference of Topic Models and Distributed Vector Representations
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How events unfold: Spatiotemporal mining in social media

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