Multi-modal Models for Depression Screening

Intelligent and Resilient Radio Resource Allocation for 5G and Beyond Wireless Communications

Data Driven University Capacity Analysis via Mathematical Optimization

Strategies and Structures for Biological Datasets Integration and Knowledge Discovery

Bespoke Neural Network Architectures for Rapid Multivariate Time Series Classification and Representation

Integrating Personalized Learning into Online Education through Content Aggregation, Data Mining, and Reinforcement Learning

Knowledge Amalgamation from Heterogeneous Pre-Trained Models

Robust Representation Learning for Context Recognition on Weakly-supervised Mobile Sensed Data with Covariate-shifts

Human Behavior Analysis via Generative Adversarial Imitation Learning

Data Science for Improving Operations in Organizations that Serve Vulnerable Populations

Towards an End-to-End Training Data Management System for Machine Learning Models

Educational Data Mining toward Personalized Tutoring: Exploration of Facial Behaviors, Thermal Comfort, and Relevant Content Search

Ensemble CNNs in Transform Domains for Small Data Image Super-resolution

Robust Generative Models for Deep Learning and Applications

Entity Identification Based on Human Mobility Data

Biological Discovery via Data Science: Multigranular Artificial Intelligence Approaches for Cells, Cerebra and Cruise Ships

Spatial-Temporal Generative Adversarial Learning

Improving Mental Health Screening with Predictive and Generative Modeling of Text Messages

Sparse Learning in Brain Networks and Brain-like Artificial Intelligence

Scalable Similarity Search over Big Data Series

Analytics for Refugee Resettlement

MANIRank: Multiple Attribute and Intersectional Fairness for Consensus Ranking

Prediction and Observation Timing in Time Series Classification

Explaining Deep Time Series Classifiers

Dimension Estimation and Application in Finance

Essays in Mixed-Integer Nonlinear Optimization for Matching Applications

Visual Analytics for Multi-Level Triage and Investigation of Incident Reports

NITELITE: Studying Student Language and Teacher Feedback Through Explanation and Asynchronous Collaboration

Modeling Heterogeneous Users Behaviors in Online Systems

Adverse Drug Event Information Extraction from Medical Narratives using Ensemble Learning & Deep Learning

Detecting and Mitigating the Spread of Low-Quality Information in Social Media

Patterns Detection on Multivariate High-Frequency Time Series

Robust State Estimation and Deep Learning for Time Series Analysis

Micro-Pattern Detection and Analysis in Gaze Data via Mathematical Optimization and Machine Learning

Robust Methods for Anomaly Detection with Applications to Cyber Data