2 papers
cs.LG2026
Evaluating and Mitigating Gender Bias in Pre-trained Embeddings for ML-based Recruitment
Farnaz Faramarzi Lighvan, Lynn Houthuys
AI-based recruitment systems that rely on machine learning models trained on historical CV data, risk perpetuating and amplifying social biases. A key challenge arises in unstructu…
cs.LG2025
Adaptive Weighted LSSVM for Multi-View Classification
Farnaz Faramarzi Lighvan, Mehrdad Asadi, Lynn Houthuys
Multi-view learning integrates diverse representations of the same instances and can improve performance when interactions across views are effectively exploited. Most existing ker…