Author

Sheikh Shams Azam

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#artificial intelligence Preprint Sep 2026

A Practical Recipe for Semi-Supervised Federated ASR: Online Pseudo-Labels with Server Update Stabilization

These findings yield guidelines for SSFL in ASR training, improving over the strongest prior method on 9 of 11 pairs, by by $20.8\% on average in-domain and cross-domain, narrowing the gap to fully-supervised FL.

Wonho Bae, Zakaria Aldeneh, Martin Pelikan et al. · 0 citations

#machine learning Preprint Sep 2026

B2B Customer Conversion Prediction: A Document Representation, Graph Theory, and CatBoost Driven Methodology

An algorithm to aggregate individual contacts to the B2B customer level based on multiple keys is proposed and a novel architecture to cluster them in a domain encompassing irregularities such as spelling mistakes and spelling variants is proposed.

Tian-Qi Wang, Sheikh Shams Azam, W. Huang et al. · 0 citations