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Found 6 papers, 1 papers with code
Improving Cause-of-Death Classification from Verbal Autopsy Reports
We present a system that relies on two transfer learning paradigms of monolingual learning and multi-source domain adaptation to improve VA narratives for the target task of the COD classification.
Using Machine Learning to Fuse Verbal Autopsy Narratives and Binary Features in the Analysis of Deaths from Hyperglycaemia
Lower-and-middle income countries are faced with challenges arising from a lack of data on cause of death (COD), which can limit decisions on population health and disease management.
Effect of new jet substructure measurements on Pythia8 tunes
This study used the recent ATLAS jet substructure measurements to see if any improvements can be made to the commonly used Pythia8 Monash and A14 tunes.
High Energy Physics - Experiment High Energy Physics - Phenomenology
How to discover QCD Instantons at the LHC
The Standard Model of particle physics predicts the existence of quantum tunnelling processes across topological inequivalent vacua, known as Instantons.
High Energy Physics - Phenomenology
Reinterpretation of LHC Results for New Physics: Status and Recommendations after Run 2
We report on the status of efforts to improve the reinterpretation of searches and measurements at the LHC in terms of models for new physics, in the context of the LHC Reinterpretation Forum.
High Energy Physics - Phenomenology High Energy Physics - Experiment
Unfolding with Generative Adversarial Networks
Correcting measured detector-level distributions to particle-level is essential to make data usable outside the experimental collaborations.
Data Analysis, Statistics and Probability High Energy Physics - Experiment High Energy Physics - Phenomenology
