Sentence embeddings reduce reconstruction error by 81% in Darcy-flow inversion by providing categorical geological constraints, with limited added value from within-class text detail.
A requirement-driven method for process mining based on model-driven engineering,
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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PM4Py-UCM extends process mining to output hierarchical UCM models with configurable visualizations and round-trip export to jUCMNav using public and synthetic event logs.
citing papers explorer
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What Do Language Priors Contribute to Darcy-Flow Inversion? A Mechanistic Audit
Sentence embeddings reduce reconstruction error by 81% in Darcy-flow inversion by providing categorical geological constraints, with limited added value from within-class text detail.
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Towards Process Mining Use Case Map Models with PM4Py-UCM
PM4Py-UCM extends process mining to output hierarchical UCM models with configurable visualizations and round-trip export to jUCMNav using public and synthetic event logs.