research
∙
03/24/2023
A Self-supervised Framework for Improved Data-Driven Monitoring of Stress via Multi-modal Passive Sensing
Recent advances in remote health monitoring systems have significantly b...
share
research
∙
11/16/2022
Auditing Algorithmic Fairness in Machine Learning for Health with Severity-Based LOGAN
Auditing machine learning-based (ML) healthcare tools for bias is critic...
research
∙
05/19/2022
Beyond Labels: Visual Representations for Bone Marrow Cell Morphology Recognition
Analyzing and inspecting bone marrow cell cytomorphology is a critical b...
research
∙
08/27/2021
Contrastive Mixup: Self- and Semi-Supervised learning for Tabular Domain
Recent literature in self-supervised has demonstrated significant progre...
research
∙
08/19/2021
A Framework for Neural Topic Modeling of Text Corpora
Topic Modeling refers to the problem of discovering the main topics that...
research
∙
05/12/2021
Unsupervised Acute Intracranial Hemorrhage Segmentation with Mixture Models
Intracranial hemorrhage occurs when blood vessels rupture or leak within...
research
∙
04/22/2021
COVID-19 and Big Data: Multi-faceted Analysis for Spatio-temporal Understanding of the Pandemic with Social Media Conversations
COVID-19 has been devastating the world since the end of 2019 and has co...
research
∙
11/11/2020
Real-Time Decentralized knowledge Transfer at the Edge
Proliferation of edge networks creates islands of learning agents workin...
research
∙
08/09/2020
Anxiety Detection Leveraging Mobile Passive Sensing
Anxiety disorders are the most common class of psychiatric problems affe...
research
∙
08/08/2020
Statistical Analytics and Regional Representation Learning for COVID-19 Pandemic Understanding
The rapid spread of the novel coronavirus (COVID-19) has severely impact...
research
∙
07/12/2020
Transfer Learning for Activity Recognition in Mobile Health
While activity recognition from inertial sensors holds potential for mob...
research
∙
06/09/2020
A Flexible and Intelligent Framework for Remote Health Monitoring Dashboards
Developing and maintaining monitoring panels is undoubtedly the main tas...
research
∙
12/22/2019
Hierarchical Target-Attentive Diagnosis Prediction in Heterogeneous Information Networks
We introduce HTAD, a novel model for diagnosis prediction using Electron...
research
∙
12/20/2019
Group-Connected Multilayer Perceptron Networks
Despite the success of deep learning in domains such as image, voice, an...
research
∙
12/17/2019
Cost-Sensitive Feature-Value Acquisition Using Feature Relevance
In many real-world machine learning problems, feature values are not rea...
research
∙
10/04/2019
Unsupervised Representation for EHR Signals and Codes as Patient Status Vector
Effective modeling of electronic health records presents many challenges...
research
∙
09/15/2019
Target-Focused Feature Selection Using a Bayesian Approach
In many real-world scenarios where data is high dimensional, test time a...
research
∙
08/11/2019
TAPER: Time-Aware Patient EHR Representation
Effective representation learning of electronic health records is a chal...
research
∙
05/22/2019
Generative Imputation and Stochastic Prediction
In many machine learning applications, we are faced with incomplete data...
research
∙
02/19/2019
Nutrition and Health Data for Cost-Sensitive Learning
Traditionally, machine learning algorithms have been focused on modeling...
research
∙
01/31/2019
Unsupervised Prediction of Negative Health Events Ahead of Time
The emergence of continuous health monitoring and the availability of an...
research
∙
01/02/2019
Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams
In many real-world learning scenarios, features are only acquirable at a...
research
∙
11/03/2018
Dynamic Feature Acquisition Using Denoising Autoencoders
In real-world scenarios, different features have different acquisition c...
research
∙
04/22/2018
HeteroMed: Heterogeneous Information Network for Medical Diagnosis
With the recent availability of Electronic Health Records (EHR) and grea...
research
∙
04/19/2018