research
∙
07/21/2023
Poverty rate prediction using multi-modal survey and earth observation data
This work presents an approach for combining household demographic and l...
share
research
∙
05/01/2023
How effective is multifactor authentication at deterring cyberattacks?
This study investigates the effectiveness of multifactor authentication ...
research
∙
11/16/2022
Dwelling Type Classification for Disaster Risk Assessment Using Satellite Imagery
Vulnerability and risk assessment of neighborhoods is essential for effe...
research
∙
04/07/2022
BankNote-Net: Open dataset for assistive universal currency recognition
Millions of people around the world have low or no vision. Assistive sof...
research
∙
01/31/2022
An Artificial Intelligence Dataset for Solar Energy Locations in India
Rapid development of renewable energy sources, particularly solar photov...
research
∙
11/01/2021
Interpretable and Explainable Machine Learning for Materials Science and Chemistry
While the uptake of data-driven approaches for materials science and che...
research
∙
07/28/2021
Retinal Microvasculature as Biomarker for Diabetes and Cardiovascular Diseases
Purpose: To demonstrate that retinal microvasculature per se is a reliab...
research
∙
06/15/2021
An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises
Diferentially private (DP) synthetic datasets are a powerful approach fo...
research
∙
06/09/2021
A machine learning pipeline for aiding school identification from child trafficking images
Child trafficking in a serious problem around the world. Every year ther...
research
∙
05/04/2021
Height Estimation of Children under Five Years using Depth Images
Malnutrition is a global health crisis and is the leading cause of death...
research
∙
03/24/2021
U.S. Broadband Coverage Data Set: A Differentially Private Data Release
Broadband connectivity is a key metric in today's economy. In an era of ...
research
∙
01/18/2021
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary
We introduce FELICIA (FEderated LearnIng with a CentralIzed Adversary) a...
research
∙
12/09/2020
Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya
Glacier mapping is key to ecological monitoring in the hkh region. Clima...
research
∙
09/11/2020
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models
Generative models are widely used for publishing synthetic datasets. Des...
research
∙
12/31/2019
Protecting GANs against privacy attacks by preventing overfitting
Generative Adversarial Networks (GANs) have made releasing of synthetic ...
research
∙
10/04/2019
Risks of Using Non-verified Open Data: A case study on using Machine Learning techniques for predicting Pregnancy Outcomes in India
Artificial intelligence (AI) has evolved considerably in the last few ye...
research
∙
11/08/2016