Article-Journal

A Regularization Framework for Gender Bias Mitigation in Dense Neural Rankers
A regularization framework for mitigating gender bias in dense neural rankers.
Between Borders and Minds: Analyzing Migrating Students' Mental Health Through User-Generated Data
Analyzing the mental health of migrating students through user-generated data.
Cybersecurity Training via AI: Examining Employee Perceptions, Trust, and Readiness for AI-Enhanced Learning
Examining employee perceptions, trust, and readiness for AI-enhanced cybersecurity training.
Joint Representation Learning for Expert Discovery
Graph neural networks with kernel pooling for finding individual experts and forming collaborative expert teams on community question answering platforms.
Led to Mislead: Adversarial Content Injection for Attacks on Neural Ranking Models
Adversarial content injection attacks that mislead neural ranking models.
A contrastive neural disentanglement approach for query performance prediction
Contrastive neural disentanglement approach for query performance prediction.
Attrition risk modeling during a customer's journey: a predictive analytics approach
Predictive analytics approach for customer attrition risk modeling during the customer journey.
Gender disentangled representation learning in neural rankers
Gender disentangled representation learning in neural rankers for bias mitigation.
Understanding and Mitigating Gender Bias in Information Retrieval Systems
A comprehensive survey on understanding and mitigating gender bias in information retrieval systems.
Learning from Yesterday: Predicting early-stage startup success for accelerators through content and cohort dynamics
Predicting early-stage startup success for accelerators through content and cohort dynamics.