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Sanghani Center for Artificial Intelligence and Data Analytics
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2018
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2017
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2018
Portable Parallel Design of Weighted Multi-Dimensional Scaling for Real-Time Data Analysis
Trendi: Tracking stories in news and microblogs via emerging, evolving and fading topics
TRACES: Generating Twitter stories via shared subspace and temporal smoothness
In defense of low-level structural features and SVMs for facial attribute classification: Application to detection of eye state, Mouth State, and eyeglasses in the wild
Modeling the conflicting demands of parallelism and Temporal/Spatial locality in affine scheduling
Neural Abstractive Text Summarization with Sequence-to-Sequence Models
Deep Reinforcement Learning For Sequence to Sequence Models
Forecasting Gang Homicides with Multi-level Multi-task Learning
Sub2Vec: Feature Learning for Subgraphs
SIGNet: Scalable Embeddings for Signed Networks
DeepDiffuse: Predicting the 'Who' and 'When' in Cascades
Multi-Task Learning for Transit Service Disruption Detection
Generative Modeling of Human Behavior and Social Interactions Using Abductive Analysis
Flow of Information in Feed-Forward Denoising Neural Networks
Generating Realistic Synthetic Population Datasets
Sparse estimation of multivariate Poisson log-normal models from count data
Probability-one homotopy methods for constrained clustering
Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator
Robust Regression via Online Feature Selection Under Adversarial Data Corruption
StreetNet: preference learning with convolutional neural network on urban crime perception
DIMPL: a distributed in-memory drone flight path builder system
Preface: special issue on geo-social media analytics
Immersive Human-Centered Computational Analytics
JigCell Model Connector: building large molecular network models from components
Generalized biplots for stress-based multidimensionally scaled projections
A Hybrid Model for Role-related User Classification on Twitter
Web Archiving and Digital Libraries (WADL)
DyLink2Vec: Effective Feature Representation for Link Prediction in Dynamic Networks
A Sparse Topic Model for Extracting Aspect-Specific Summaries from Online Reviews
Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations
Recurrent Spatio-Temporal Point Process for Check-in Time Prediction
Predicting interval time for reciprocal link creation using survival analysis
When do Crowds Turn Violent? Uncovering Triggers from Media
Deep Paper Gestalt
iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection
MaskRNN: Instance Level Video Object Segmentation
Unsupervised Video Object Segmentation Using Motion Saliency-Guided Spatio-Temporal Propagation
Learning Blind Video Temporal Consistency
VideoMatch: Matching Based Video Object Segmentation
DF-Net: Unsupervised Joint Learning of Depth and Flow Using Cross-Task Consistency
Diverse Image-to-Image Translation via Disentangled Representations
Multi-view wire art
Progressive cyber-human intelligence for social good
CrowdIA: Solving Mysteries with Crowdsourced Sensemaking
Predicting system performance by interpolation using a high-dimensional delaunay triangulation
Interaction for Immersive Analytics
Observation-Level and Parametric Interaction for High-Dimensional Data Analysis
High Performance Computing Symposium
Predictive modeling of I/O characteristics in high performance computing systems
illiad: InteLLigent Invariant and Anomaly Detection in Cyber-Physical Systems
Interactive Discovery of Coordinated Relationship Chains with Maximum Entropy Models
Virtual Metering: An Efficient Water Disaggregation Algorithm via Nonintrusive Load Monitoring
Guest editors’ introduction to the special issue on web archiving
Adaptive Correlation Filters with Long-Term and Short-Term Memory for Object Tracking
Semi-automated home-based therapy for the upper extremity of stroke survivors
Ensemble convolutional neural networks for pose estimation
DeepMVS: Learning Multi-View Stereopsis
Intelligent systems for geosciences: an essential research agenda
Smartphone Transportation Mode Recognition Using a Hierarchical Machine Learning Classifier and Pooled Features From Time and Frequency Domains
Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes
Mining Sub-Interval Relationships In Time Series Data
Spatio-Temporal Data Mining: A Survey of Problems and Methods
Machine Learning for the Geosciences: Challenges and Opportunities
Joint Image Filtering with Deep Convolutional Networks
Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks
Robust Visual Tracking via Hierarchical Convolutional Features
Unstable modes in projection-based reduced-order models: How many can there be, and what do they tell you?
SIRIUS: Dual, Symmetric, Interactive Dimension Reductions
Anatomy of scholarly information behavior patterns in the wake of academic social media platforms
A Nonparametric Approach to Uncovering Connected Anomalies by Tree Shaped Priors
The Effect of Edge Bundling and Seriation on Sensemaking of Biclusters in Bipartite Graphs
Smooth, Efficient, and Interruptible Zooming and Panning
Identifying Mobile Inter-App Communication Risks
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