Search Results for author:
Found 8 papers, 2 papers with code
Virtual Pre-Service Teacher Assessment and Feedback via Conversational Agents
Conversational agents and assistants have been used for decades to facilitate learning.
Shape Analysis for Pediatric Upper Body Motor Function Assessment
The proposed metric is invariant to confounding factors, such as phase variability, while suggesting several clinically relevant insights.
Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients
Chronic kidney disease (CKD) is a gradual loss of renal function over time, and it increases the risk of mortality, decreased quality of life, as well as serious complications.
HHAR-net: Hierarchical Human Activity Recognition using Neural Networks
We evaluate our model on the Extrasensory dataset; a dataset collected in the wild and containing data from smartphones and smartwatches.
Improving Classification through Weak Supervision in Context-specific Conversational Agent Development for Teacher Education
We propose using probabilistic modeling of annotator labeling to generate active learning examples to further label the data.
Geometry matters: Exploring language examples at the decision boundary
Using our approach, we explore difficult examples for several deep learning architectures.
A Framework for Addressing the Risks and Opportunities In AI-Supported Virtual Health Coaches
Virtual coaching has rapidly evolved into a foundational component of modern clinical practice.
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning
Inspired by human visual attention, we propose a novel inverse reinforcement learning formulation using Maximum Entropy Deep Inverse Reinforcement Learning (MEDIRL) for predicting the visual attention of drivers in accident-prone situations.
