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Open access Oct 2026

Conformance checking of declarative data-aware processes

Despite growing interest in process analysis and mining for data-aware specifications, alignment-based conformance checking for declarative process models has focused on pure control-flow specifications, or mild data-aware extensions limited to numerical data and variable-to-constant comparisons. This is not surprising...

Jacobo Casas-Ramos, Sarah Winkler, Alessandro Gianola et al. · 0 citations
#machine learning Preprint Sep 2026

Benchmarking graph-based models for in-silico toxicity prediction in drug discovery

Drug discovery is a costly and high-risk process, where toxicity-related failures remain a major cause of attrition in both preclinical and clinical stages. As a result, accurate early prediction of chemical toxicity is essential to reduce downstream costs and improve compound prioritization. In this context, graph dee...

Noel Suarez-Barro, M. Lama, J. C. Vidal · 0 citations

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