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20172026
most citedGraph Machine Learning for Design of High-Octane Fuels

36 citations · 116 across the 26 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

hep-ex2022★ 3 cited

Determination of from untagged decays using 2019-2021 Belle II data

Belle II Collaboration, K. Adamczyk, L. Aggarwal +588

We present an analysis of the charmless semileptonic decay , where , from 198.0 million pairs of mesons recorded by the Belle II…

hep-ex2022★ 2 cited

Angular analysis of decays reconstructed in 2019, 2020, and 2021 Belle II data

Belle II Collaboration, F. Abudinén, I. Adachi +590

We report on a Belle II measurement of the branching fraction (), longitudinal polarization fraction (), and CP asymmetry () of …

hep-ex2022

Measurement of the branching fraction of the decay using 190 fb of Belle II data

Belle II Collaboration, F. Abudinén, I. Adachi +590

We report the measurement of the branching fraction of the decay in data recorded by the Belle II experiment at the Sup…

cs.LG2022★ 4 cited

Optimal Weak to Strong Learning

Kasper Green Larsen, Martin Ritzert

The classic algorithm AdaBoost allows to convert a weak learner, that is an algorithm that produces a hypothesis which is slightly better than chance, into a strong learner, achiev…

cs.LG2022★ 36 cited

Graph Machine Learning for Design of High-Octane Fuels

Jan G. Rittig, Martin Ritzert, Artur M. Schweidtmann +7

Fuels with high-knock resistance enable modern spark-ignition engines to achieve high efficiency and thus low CO2 emissions. Identification of molecules with desired autoignition p…