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Sanghani Center for Artificial Intelligence and Data Analytics
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2019
Pipelines and their Compositions for Modeling and Analysis of controlled Online Networked Social Science Experiments
Identifying Distracted and Drowsy Drivers Using Naturalistic Driving Data
Incorporating Prior Domain Knowledge into Deep Neural Networks
Situation-Based Interpretable Learning for Personality Prediction in Social Media
Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning
Physics-guided Design and Learning of Neural Networks for Predicting Drag Force on Particle Suspensions in Moving Fluids
Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling
A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series
Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition
Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks
A Closer Look at Few-shot Classification
Achieving Accurate Segmentation of Nasopharyngeal Carcinoma in MR Images Through Recurrent Attention
Source form an automated crowdsourced object generator
Manifold Graph with Learned Prototypes for Semi-Supervised Image Classification
Tracking Persons-of-Interest via Unsupervised Representation Adaptation
Pseudospectra of Loewner Matrix Pencils
LATTE: Latent Type Modeling for Biomedical Entity Linking
A Hierarchical Attention Retrieval Model for Healthcare Question Answering
An Attentive Spatio-Temporal Neural Model for Successive Point of Interest Recommendation
LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization
Active Learning Technique for Multimodal Brain Tumor Segmentation Using Limited Labeled Images
Adversarial Factorization Autoencoder for Look-alike Modeling
Document-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts
A Provenance Task Abstraction Framework
Interactive Visual Analytics for Sensemaking with Big Text
MCAT: Motif Combining and Association Tool
Spatio-Temporal Event Detection from Multiple Data Sources
Workshop on Web Archiving and Digital Libraries (WADL)
Communication Behavior in an Emerging Democracy
Facial Emotion Recognition with Varying Poses and/or Partial Occlusion Using Multi-stage Progressive Transfer Learning
Automated Mapping of Typical Cropland Strips in the North China Plain Using Small Unmanned Aircraft Systems (sUAS) Photogrammetry
Mechanistic and data-driven agent-based models to explain human behavior in online networked group anagram games
RumorSleuth: joint detection of rumor veracity and user stance
Spatio-temporal Event Forecasting and Precursor Identification
REGAL: A Regionalization framework for school boundaries
Feature driven learning framework for cybersecurity event detection
Robust Regression via Heuristic Corruption Thresholding and Its Adaptive Estimation Variation
Detection of clusters in traffic networks based on spatio-temporal flow modeling
Batman or the joker?: the powerful urban computing and its ethics issues
Interactive Bicluster Aggregation in Bipartite Graphs
MOANA: Modeling and Analyzing I/O Variability in Parallel System Experimental Design
Predictability of IP Address Allocations for Cloud Computing Platforms
TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction
Mitigating Uncertainty in Document Classification
Immersive Analytics: Theory and Research Agenda
Discovering Product Defects and Solutions from Online User Generated Contents
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks
Dropping the Baton?: Understanding Errors and Bottlenecks in a Crowdsourced Sensemaking Pipeline
EpiDeep: Exploiting Embeddings for Epidemic Forecasting
NActSeer: Predicting User Actions in Social Network using Graph Augmented Neural Network
Event Detection using Hierarchical Multi-Aspect Attention
Online flu epidemiological deep modeling on disease contact network
Deep Reinforcement Learning for Sequence-to-Sequence Models
Towards insight-driven sampling for big data visualisation
Progressive Representation Adaptation for Weakly Supervised Object Localization
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