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ACTIVE INFERENCE FOR PREDICTIVE MODELS OF SPATIO-TEMPORAL DOMAINS
DAMAGE ASSESSMENT OF CIVIL STRUCTURES AFTER NATURAL DISASTERS USING DEEP LEARNING AND SATELLITE IMAGERY
Fast mesh based reconstruction for cardiac-gated SPECT and methodology for medical image quality assessment
Removing Confounds in Text Classification for Computational Social Science
A Complete Machine Learning Approach for Predicting Lithium-Ion Cell Combustion
IMPACT OF DATA SHAPE, FIDELITY, AND INTER-OBSERVER REPRODUCIBILITY ON CARDIAC MAGNETIC RESONANCE  IMAGE PIPELINES
REVEALING LINGUISTIC BIAS
Towards Assisting Human-Human Conversations
A Hybrid Data-Driven Simulation Framework For Integrated Energy-Air Quality (iE-AQ) Modeling at Multiple Urban Scales
A SCALABLE SIMULATION AND MODELING FRAMEWORK FOR EVALUATION OF SOFTWARE-DEFINED NETWORKING DESIGN AND SECURITY APPLICATIONS
Machine Learning for NDE Imaging Applications
AI IN MEDICINE: ENABLING INTELLIGENT IMAGING, PROGNOSIS, AND MINIMALLY INVASIVE SURGERY
Hedge Fund Replication With Deep Neural Networks And Generative Adversarial Networks
Machine learning applications to video surveillance camera placement and medical imaging quality assessment
SOLID-STATE SMART PLUG DEVICE
Exploiting contextual information for deep learning based object detection
IMPACT OF DATA SHAPE, FIDELITY, AND INTER-OBSERVER REPRODUCIBILITY ON CARDIAC MAGNETIC RESONANCE  IMAGE PIPELINES