3 citations · 5 across the 6 of their papers we have counts for
6 papers
Robust Human Detection under Visual Degradation via Thermal and mmWave Radar Fusion
Kaiwen Cai, Qiyue Xia, Peize Li +2
The majority of human detection methods rely on the sensor using visible lights (e.g., RGB cameras) but such sensors are limited in scenarios with degraded vision conditions. In th…
The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints
Parker Seegmiller, Joseph Gatto, Madhusudan Basak +4
Medications often impose temporal constraints on everyday patient activity. Violations of such medical temporal constraints (MTCs) lead to a lack of treatment adherence, in additio…
ActSafe: Predicting Violations of Medical Temporal Constraints for Medication Adherence
Parker Seegmiller, Joseph Gatto, Abdullah Mamun +4
Prescription medications often impose temporal constraints on regular health behaviors (RHBs) of patients, e.g., eating before taking medication. Violations of such medical tempora…
Integrating Voice-Based Machine Learning Technology into Complex Home Environments
Ye Gao, Jason Jabbour, Eunjung Ko +8
To demonstrate the value of machine learning based smart health technologies, researchers have to deploy their solutions into complex real-world environments with real participants…
MiddleGAN: Generate Domain Agnostic Samples for Unsupervised Domain Adaptation
Ye Gao, Zhendong Chu, Hongning Wang +1
In recent years, machine learning has achieved impressive results across different application areas. However, machine learning algorithms do not necessarily perform well on a new…
E-ADDA: Unsupervised Adversarial Domain Adaptation Enhanced by a New Mahalanobis Distance Loss for Smart Computing
Ye Gao, Brian Baucom, Karen Rose +3
In smart computing, the labels of training samples for a specific task are not always abundant. However, the labels of samples in a relevant but different dataset are available. As…