1 citations · 1 across the 4 of their papers we have counts for
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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…
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…
Multi-view mid fusion: a universal approach for learning in an HDLSS setting
Lynn Houthuys
The high-dimensional low-sample-size (HDLSS) setting presents significant challenges in various applications where the feature dimension far exceeds the number of available samples…
Machine learning for automated quality control in injection moulding manufacturing
Steven Michiels, Cédric De Schryver, Lynn Houthuys +2
Machine learning (ML) may improve and automate quality control (QC) in injection moulding manufacturing. As the labelling of extensive, real-world process data is costly, however,…