Balancing fidelity and flexibility: a case study presentation of an augmented dynamic adaptation process for socio-technical innovations in healthcare

Shear Condition Classification of Cracked Reinforced Concrete Beams Using Machine Learning

COMODO: Configurable morphology distance operator

Resource Efficient Bayesian Optimization

Learning manifolds from non-stationary streams

Tracking clusters and anomalies in evolving data streams

Multi-step ahead predictive model for blood glucose concentrations of type-1 diabetic patients

From images in the wild to video-informed image classification

DST-Predict: Predicting Individual Mobility Patterns From Mobile Phone GPS Data

Explainable Deep Learning for Readmission Prediction with Tree-GloVe Embedding

Graph-based Strategy for Establishing Morphology Similarity

160 Underlying Factors Contributing to Sleep Health Among Middle-aged and Older Adults

Explaining Supervised Learning Models: A Preliminary Study on Binary Classifiers

Learning Manifolds from Dynamic Process Data

longSil: an Evaluation Metric to Assess Quality of Clustering Longitudinal Clinical Data

Learning Deep Representations from Clinical Data for Chronic Kidney Disease

Identifying Patients Experiencing Opioid-Induced Respiratory Depression During Recovery From Anesthesia: The Application of Electronic Monitoring Devices.

Integrated Clustering and Anomaly Detection (INCAD) for Streaming Data

Mortality Risk in Homebound Older Adults Predicted From Routinely Collected Nursing Data.

Tree-based Regularization for Interpretable Readmission Prediction

Query Log Compression for Workload Analytics

dynamicMF: A Matrix Factorization Approach to Monitor Resource Usage in High Performance Computing Systems

Similarity Metrics for SQL Query Clustering

Machine learning for energy-water nexus: challenges and opportunities

A survey of analytical methods for inclusion in a new energy-water nexus knowledge discovery framework

S-Isomap++: Multi Manifold Learning from Streaming Data

Ettu: Analyzing Query Intents in Corporate Databases

Modeling graphs using a mixture of Kronecker models

Surface Reconstruction from Intensity Image Using Illumination Model Based Morphable Modeling

Analyzing Big Spatial and Big Spatiotemporal Data: A Case Study of Methods and Applications

A reference based analysis framework for understanding anomaly detection techniques for symbolic sequences

Knowledge discovery from massive healthcare claims data

Integrating AI with Ramanomics and quantum science for label-free mapping of biochemical environment in live cells to advance cellular diagnosis and molecular medicine

FDT-BioTech: Uncertainty Quantification in Deep Learning-Driven Digital Twins for Risk-Averse Decisions: Application in Type 1 Diabetes Management

Implementing Personalized Cross-Sector Transitional Care Management to Promote Care Continuity, Reduce Low-Value Utilization, and Reduce the Burden of Treatment for High-Need, High-Cost Patients

Building a Fair Recommender System for Foster Care Services within the Constraints of a Sociotechnical System

The Center for Hybrid Rocket Exascale Simulation Technology

Beyond Compartment models: Using Big-Data to enhance models for controller development for the Artificial Pancreas

Manifolds for Extreme-scale Applied Data Science

Data is Social: Exploiting Data Relationships to Detect Insider Attacks