research
∙
09/11/2023
Effective Abnormal Activity Detection on Multivariate Time Series Healthcare Data
Multivariate time series (MTS) data collected from multiple sensors prov...
share
research
∙
02/22/2023
Information Theory Inspired Pattern Analysis for Time-series Data
Current methods for pattern analysis in time series mainly rely on stati...
research
∙
12/27/2022
PRISM: Privacy Preserving Internet of Things Security Management
Consumer healthcare applications are gaining increasing popularity in ou...
research
∙
10/04/2022
Using Entropy Measures for Monitoring the Evolution of Activity Patterns
In this work, we apply information theory inspired methods to quantify c...
research
∙
02/16/2022
Towards Battery-Free Machine Learning and Inference in Underwater Environments
This paper is motivated by a simple question: Can we design and build ba...
research
∙
10/19/2021
Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data
Agitation is one of the neuropsychiatric symptoms with high prevalence i...
research
∙
09/10/2021
Multimodal Federated Learning
Federated learning is proposed as an alternative to centralized machine ...
research
∙
11/02/2020
Semi-supervised Federated Learning for Activity Recognition
The proliferation of IoT sensors and edge devices makes it possible to u...
research
∙
05/30/2019
Using Metrics Suites to Improve the Measurement of Privacy in Graphs
Social graphs are widely used in research (e.g., epidemiology) and busin...
research
∙
07/12/2018
A Library for Constraint Consistent Learning
This paper introduces the first, open source software library for Constr...
research
∙
07/11/2018
