Robust speaker clustering under variation in data characteristics 

Data-driven image analysis, modeling, synthesis and anomaly localization techniques 

Green learning for 3D point cloud data processing 

Statistical insights into deep learning and flexible causal inference 

Detection and accuracy assessment of mountain pine beetle infestations using Landsat 8 OLI and WorldView02 satellite imagery: Lake Tahoe Basin-Nevada and California 

Learning to optimize the geometry and appearance from images 

Modeling, searching, and explaining abnormal instances in multi-relational networks 

Supervision Of Pupils In Elementary Schools 

Creating cross-modal, context-aware representations of music for downstream tasks 

Labeling cost reduction techniques for deep learning: methodologies and applications 

A study to determine the effect of unsupervised home practice on students in first- and second-semesters of typewriting 

Development and evaluation of a USV based mapping system for remote sensing of eelgrass extent in southern California 

Using census data, urban-land cover classification, and dasymetric mapping to measure urban growth of the lower Rio Grande Valley, Texas 

Green image generation and label transfer techniques 

Evaluating glacier movement fluctuations using remote sensing: a case study of the Baird, Patterson, LeConte, and Shakes Glaciers in central southeastern Alaska 

Robust and generalizable knowledge acquisition from text 

Neuroscience inspired algorithms for lifelong learning and machine vision 

Sampling theory for graph signals with applications to semi-supervised learning 

Automatic decipherment of historical manuscripts 

The Legal Aspects Of Supervising Student Personnel In Selected Secondary Schools 

Generating psycholinguistic norms and applications 

Learning shared subspaces across multiple views and modalities 

RANSAC-based semi-supervised learning algorithms for partially labeled data, with application to neurological screening from eye-tracking data 

User-centric smart sensing for non-intrusive electricity consumption disaggregation in buildings 

Application of machine learning methods in genomic data analysis