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cs.LG2025
AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data
Riccardo Francia, Maurizio Leone, Giorgio Leonardi +4
Medical datasets are typically affected by issues such as missing values, class imbalance, a heterogeneous feature types, and a high number of features versus a relatively small nu…
cs.LG2024
Structural Positional Encoding for knowledge integration in transformer-based medical process monitoring
Christopher Irwin, Marco Dossena, Giorgio Leonardi +1
Predictive process monitoring is a process mining task aimed at forecasting information about a running process trace, such as the most correct next activity to be executed. In med…