To evaluate our approach, we curated a selection of 17 publicly available HTS datasets and 3 industrial ones with different sizes, class imbalance, biological targets, assay technology and false positive rates. Our results show that MVS-A can outperform a variety of rule-based and data-driven baselines both at true positive and false positive identification.