Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning PipelinesJohn LalorAhmed AbbasiKezia OketchYi YangNicole ForsgrenACM Transactions on Information Systems2024
Should Fairness be a Metric or a Model? A Model-based Framework for Assessing Bias in Machine Learning PipelinesJohn LalorAhmed AbbasiKezia OketchYi YangNicole ForsgrenACM Transactions on Information Systems2024
Examining User Heterogeneity in Digital ExperimentsAhmed AbbasiKen KelleyD. DobolyiT. YuanACM Transactions on Information Systems2023
Getting Personal: A Deep Learning Artifact for Text-Based Measurement of PersonalityKai YangRaymond LauAhmed AbbasiInformation Systems Research2023
Deep Learning for Adverse Event Detection From Web SearchFaizan AhmadAhmed AbbasiBrent KitchensDonald AdjerohDaniel ZengIEEE Transactions on Knowledge and Data Engineering2022
Constructing a Psychometric Testbed for Fair Natural Language ProcessingAhmed AbbasiJohn LalorRichard NetemeyerKendall SmithYi YangEMNLP 20212021
The Phishing Funnel Model: A Design Artifact to Predict User Susceptibility to Phishing WebsitesAhmed AbbasiAnthony VanceFatemeh ZahediInformation Systems Research2021
Trust Calibration of Security IT Artifacts: A Multi-Domain Study of Phishing-Website Detection ToolsYan ChenFatemeh ZahediAhmed AbbasiInformation and Management2021
TheoryOn: A Design Framework and System for Unlocking Behavioral Knowledge Through Ontology Learning1J LiK LarsenAhmed AbbasiMIS Quarterly2020
Path to Purpose? How Online Customer Journeys Differ for Hedonic Versus Utilitarian PurchaseJingjing LiAhmed AbbasiAmar CheemaLinda AbrahamJournal of Marketing2020