19 citations · 133 across the 21 of their papers we have counts for
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cs.LG2024★ 8 cited
Quantum Supervised Learning
Antonio Macaluso
Recent advancements in quantum computing have positioned it as a prospective solution for tackling intricate computational challenges, with supervised learning emerging as a promis…
cs.LG2020★ 5 cited
Self-Supervised Bernoulli Autoencoders for Semi-Supervised Hashing
Ricardo Ñanculef, Francisco Mena, Antonio Macaluso +2
Semantic hashing is an emerging technique for large-scale similarity search based on representing high-dimensional data using similarity-preserving binary codes used for efficient…
cs.LG2020★ 8 cited
Quantum Ensemble for Classification
Antonio Macaluso, Luca Clissa, Stefano Lodi +1
A powerful way to improve performance in machine learning is to construct an ensemble that combines the predictions of multiple models. Ensemble methods are often much more accurat…