output
20172026
most citedEvaluating Proposed Fairness Models for Face Recognition Algorithms

28 citations

7 papers

cs.CV2026

Robustness of Presentation Attack Detection in Remote Identity Validation Scenarios

John J. Howard, Richard O. Plesh, Yevgeniy B. Sirotin +2

Presentation attack detection (PAD) subsystems are an important part of effective and user-friendly remote identity validation (RIV) systems. However, ensuring robust performance a…

cs.SI2024

A New Perspective on ADHD Research: Knowledge Graph Construction with LLMs and Network Based Insights

Hakan T. Otal, Stephen V. Faraone, M. Abdullah Canbaz

Attention-Deficit/Hyperactivity Disorder (ADHD) is a challenging disorder to study due to its complex symptomatology and diverse contributing factors. To explore how we can gain de…

cs.CY2024★ 6 cited

PADTHAI-MM: Principles-based Approach for Designing Trustworthy, Human-centered AI using MAST Methodology

Myke C. Cohen, Nayoung Kim, Yang Ba +7

Despite an extensive body of literature on trust in technology, designing trustworthy AI systems for high-stakes decision domains remains a significant challenge, further compounde…

cs.CV2022★ 28 cited

Evaluating Proposed Fairness Models for Face Recognition Algorithms

John J. Howard, Eli J. Laird, Yevgeniy B. Sirotin +3

The development of face recognition algorithms by academic and commercial organizations is growing rapidly due to the onset of deep learning and the widespread availability of trai…

cs.AI2021★ 22 cited

Multisource AI Scorecard Table for System Evaluation

Erik Blasch, James Sung, Tao Nguyen

The paper describes a Multisource AI Scorecard Table (MAST) that provides the developer and user of an artificial intelligence (AI)/machine learning (ML) system with a standard che…

cs.CY2019★ 13 cited

Argus: Smartphone-enabled Human Cooperation via Multi-Agent Reinforcement Learning for Disaster Situational Awareness

Vidyasagar Sadhu, Gabriel Salles-Loustau, Dario Pompili +2

Argus exploits a Multi-Agent Reinforcement Learning (MARL) framework to create a 3D mapping of the disaster scene using agents present around the incident zone to facilitate the re…