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cs.LG2026
The Critical Role of Model Selection in Causal Inference: A Comparative Analysis of Classification Models within the InferBERT Framework for Pharmacovigilance
Csaba Kiss, Roland Molontay, Gabriele Pergola
Distinguishing causal adverse drug events (ADEs) from spurious correlations remains a central challenge in pharmacovigilance. The InferBERT framework integrates transformer models…
cs.LG2019
Copula-based anomaly scoring and localization for large-scale, high-dimensional continuous data
Gábor Horváth, Edith Kovács, Roland Molontay +1
The anomaly detection method presented by this paper has a special feature: it does not only indicate whether an observation is anomalous or not but also tells what exactly makes a…