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Ebrahim Bagheri
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A Light-Weight Strategy for Restraining Gender Biases in Neural Rankers
A Neural Approach to Forming Coherent Teams in Collaboration Networks
Addressing Gender-related Performance Disparities in Neural Rankers
Bias-aware Fair Neural Ranking for Addressing Stereotypical Gender Biases
Embedding-based team formation for community question answering
Feature-based question routing in community question answering platforms
Gender Fairness in Information Retrieval Systems
Collaborative Experts Discovery in Social Coding Platforms
Exploring Gender Biases in Information Retrieval Relevance Judgement Datasets
Matches Made in Heaven: Toolkit and Large-Scale Datasets for Supervised Query Reformulation
On the orthogonality of bias and utility in ad hoc retrieval
OpenAttHetRL: An Open Source Toolkit for Attributed Heterogeneous Network Representation Learning
Query Performance Prediction Through Retrieval Coherency.
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