research
∙
04/29/2023
Leveraging Unlabelled Data in Multiple-Instance Learning Problems for Improved Detection of Parkinsonian Tremor in Free-Living Conditions
Data-driven approaches for remote detection of Parkinson's Disease and i...
share
research
∙
08/31/2022
Listen to your heart: A self-supervised approach for detecting murmur in heart-beat sounds
Heart murmurs are abnormal sounds present in heartbeats, caused by turbu...
research
∙
09/08/2021
A Bottom-up method Towards the Automatic and Objective Monitoring of Smoking Behavior In-the-wild using Wrist-mounted Inertial Sensors
The consumption of tobacco has reached global epidemic proportions and i...
research
∙
08/02/2021
Bite-Weight Estimation Using Commercial Ear Buds
While automatic tracking and measuring of our physical activity is a wel...
research
∙
08/02/2021
Self-Supervised Feature Learning of 1D Convolutional Neural Networks with Contrastive Loss for Eating Detection Using an In-Ear Microphone
The importance of automated and objective monitoring of dietary behavior...
research
∙
03/02/2021
An Interpretable Multiple-Instance Approach for the Detection of referable Diabetic Retinopathy from Fundus Images
Diabetic Retinopathy (DR) is a leading cause of vision loss globally. Ye...
research
∙
10/12/2020
A Data Driven End-to-end Approach for In-the-wild Monitoring of Eating Behavior Using Smartwatches
The increased worldwide prevalence of obesity has sparked the interest o...
research
∙
05/11/2020
Collecting big behavioral data for measuring behavior against obesity
Obesity is currently affecting very large portions of the global populat...
research
∙
05/08/2020
Inferring the Spatial Distribution of Physical Activity in Children Population from Characteristics of the Environment
Obesity affects a rising percentage of the children and adolescent popul...
research
∙
05/06/2020
BigO: A public health decision support system for measuring obesogenic behaviors of children in relation to their local environment
Obesity is a complex disease and its prevalence depends on multiple fact...
research
∙
05/06/2020
Detecting Parkinsonian Tremor from IMU Data Collected In-The-Wild using Deep Multiple-Instance Learning
Parkinson's Disease (PD) is a slowly evolving neuro-logical disease that...
research
∙
11/18/2019
A Methodology for Obtaining Objective Measurements of Population Obesogenic Behaviors in Relation to the Environment
The way we eat and what we eat, the way we move and the way we sleep sig...
research
∙
09/17/2018
Span error bound for weighted SVM with applications in hyperparameter selection
Weighted SVM (or fuzzy SVM) is the most widely used SVM variant owning i...
research
∙
06/26/2017
