activity
20192022
most citedEdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation

3 citations · 3 across the 5 of their papers we have counts for

collaborators

9 papers

cs.CV2022

Handling Image and Label Resolution Mismatch in Remote Sensing

Scott Workman, Armin Hadzic, M. Usman Rafique

Though semantic segmentation has been heavily explored in vision literature, unique challenges remain in the remote sensing domain. One such challenge is how to handle resolution m…

cs.CV20223 cited

EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation

Haolin Yuan, Armin Hadzic, William Paul +5

Skin lesions can be an early indicator of a wide range of infectious and other diseases. The use of deep learning (DL) models to diagnose skin lesions has great potential in assist…

cs.MA2021

Bayesian optimization of distributed neurodynamical controller models for spatial navigation

Armin Hadzic, Grace M. Hwang, Kechen Zhang +2

Dynamical systems models for controlling multi-agent swarms have demonstrated advances toward resilient, decentralized navigation algorithms. We previously introduced the NeuroSwar…

q-bio.NC2021

An interdisciplinary approach to high school curriculum development: Swarming Powered by Neuroscience

Elise Buckley, Joseph D. Monaco, Kevin M. Schultz +5

This article discusses how to create an interactive virtual training program at the intersection of neuroscience, robotics, and computer science for high school students. A four-da…

cs.CV2021

Towards Indirect Top-Down Road Transport Emissions Estimation

Ryan Mukherjee, Derek Rollend, Gordon Christie +4

Road transportation is one of the largest sectors of greenhouse gas (GHG) emissions affecting climate change. Tackling climate change as a global community will require new capabil…

cs.LG2020

TARA: Training and Representation Alteration for AI Fairness and Domain Generalization

William Paul, Armin Hadzic, Neil Joshi +2

We propose a novel method for enforcing AI fairness with respect to protected or sensitive factors. This method uses a dual strategy performing training and representation alterati…