David Newman

Anomalous Behavior Detection in Trajectory Data of Older Drivers

Given a road network and a set of trajectory data, the anomalous behavior detection (ABD) problem is to identify drivers that show significant directional deviations, hardbrakings, and...

In-vehicle Sensing and Data Analysis for Older Drivers with Mild Cognitive Impairment

Driving is a complex daily activity indicating age and disease related cognitive declines. Therefore, deficits in driving performance compared with ones without mild cognitive impairment (MCI) can...

Methods and Tools for Monitoring Driver's Behavior

In-vehicle sensing technology has gained tremendous attention due to its ability to support major technological developments, such as connected vehicles and self-driving cars. In-vehicle sensing...

Ontology-based Interpretable Machine Learning for Textual Data

In this paper, we introduce a novel interpreting framework that learns an interpretable model based on an ontology-based sampling technique to explain agnostic prediction models. Different from...

Best Topic Word Selection for Topic Labelling

Bayesian Text Segmentation for Index Term Identification and Keyphrase Extraction

Distributed Inference for Latent Dirichlet Allocation

Improving Topic Coherence with Regularized Topic Models

A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation

Enterprise trends and opportunities in the age of semantic computing

Creating portable agents for coupling power transmission models

Text-based measures of document diversity

Statistical entity-topic models

Fast collapsed gibbs sampling for latent dirichlet allocation

Analysis of Instant Search Query Logs

Exploring Language-Interfaced Fine-Tuning for COVID-19 Patient Survival Classification

Automatic Evaluation of Topic Coherence

Framework for a Generic Knowledge Discovery Toolkit