[HTML][HTML] Large Language Models for Wearable Sensor-Based Human Activity Recognition, Health Monitoring, and Behavioral Modeling: A Survey of Early Trends …
E Ferrara - Sensors, 2024 - mdpi.com
The proliferation of wearable technology enables the generation of vast amounts of sensor
data, offering significant opportunities for advancements in health monitoring, activity …
data, offering significant opportunities for advancements in health monitoring, activity …
Tensor Levenberg-Marquardt algorithm for multi-relational traffic prediction
Traffic prediction serves as a crucial role in intelligent transportation systems for applications
including routing planning and traffic control. With the advances of sensor technologies and …
including routing planning and traffic control. With the advances of sensor technologies and …
[HTML][HTML] Deep neural networks for optimal team composition
Cooperation is a fundamental social mechanism, whose effects on human performance
have been investigated in several environments. Online games are modern-days natural …
have been investigated in several environments. Online games are modern-days natural …
User-based collaborative filtering mobile health system
Mobile health systems predict health conditions based on multimodal signals. Users are
often reluctant to provide their health status over privacy concerns. It is challenging to make …
often reluctant to provide their health status over privacy concerns. It is challenging to make …
Learning behavioral representations from wearable sensors
Continuous collection of physiological data from wearable sensors enables temporal
characterization of individual behaviors. Understanding the relation between an individual's …
characterization of individual behaviors. Understanding the relation between an individual's …
Graph embedding algorithms for attributed and temporal graphs
P Goyal - ACM SIGWEB Newsletter, 2020 - dl.acm.org
Palash Goyal is a Senior Research Scientist at Samsung Research America. In 2019, he got
his doctoral degree in Computer Science from University of Southern California under the …
his doctoral degree in Computer Science from University of Southern California under the …
Individualized context-aware tensor factorization for online games predictions
Individual behavior and decisions are substantially influenced by their contexts, such as
location, environment, and time. Changes along these dimensions can be readily observed …
location, environment, and time. Changes along these dimensions can be readily observed …
Learning Behavioral Representations from Wearable Sensors
Continuous collection of physiological data from wearable sensors enables temporal
characterization of individual behaviors. Understanding the relation between an individual's …
characterization of individual behaviors. Understanding the relation between an individual's …