Artificial intelligence (AI) is being increasingly used to automate and improve technologies
within the field of medical imaging. A critical step in the development of an AI algorithm is …

The standard model of particle physics currently provides our best description of
fundamental particles and their interactions. The theory predicts that the different charged …

A bstract A test of lepton universality, performed by measuring the ratio of the branching
fractions of the B 0→ K* 0 μ+ μ− and B 0→ K* 0 e+ e− decays,\({R} _ {K^{* 0}}\), is presented …

Cross-validation is a widely used technique to estimate prediction error, but its behavior is
complex and not fully understood. Ideally, one would like to think that cross-validation …

A bstract An angular analysis of the B 0→ K* 0 (→ K+ π−) μ+ μ− decay is presented. The
dataset corresponds to an integrated luminosity of 3.0 fb− 1 of pp collision data collected at …

A measurement of the ratio of branching fractions of the decays B+→ K+ μ+ μ-and B+→ K+
e+ e-is presented. The proton-proton collision data used correspond to an integrated …

An angular analysis of the B 0→ K* 0 (→ K+ π-) μ+ μ-decay is presented using a dataset
corresponding to an integrated luminosity of 4.7 fb-1 of pp collision data collected with the …

Predicting ad click-through rates (CTR) is a massive-scale learning problem that is central to
the multi-billion dollar online advertising industry. We present a selection of case studies …

In this monograph, I introduce the basic concepts of Online Learning through a modern view
of Online Convex Optimization. Here, online learning refers to the framework of regret …

The first simultaneous test of muon-electron universality using B+→ K+ ℓ+ ℓ-and B 0→ K* 0
ℓ+ ℓ-decays is performed, in two ranges of the dilepton invariant-mass squared, q 2. The …