58 citations · 63 across the 3 of their papers we have counts for
3 papers
Clustering Validation with The Area Under Precision-Recall Curves
Pablo Andretta Jaskowiak, Ivan Gesteira Costa
Confusion matrices and derived metrics provide a comprehensive framework for the evaluation of model performance in machine learning. These are well-known and extensively employed…
The Area Under the ROC Curve as a Measure of Clustering Quality
Pablo Andretta Jaskowiak, Ivan Gesteira Costa, Ricardo José Gabrielli Barreto Campello
The Area Under the the Receiver Operating Characteristics (ROC) Curve, referred to as AUC, is a well-known performance measure in the supervised learning domain. Due to its compell…
CLEVER: Clique-Enumerating Variant Finder
Tobias Marschall, Ivan Costa, Stefan Canzar +4
Next-generation sequencing techniques have facilitated a large scale analysis of human genetic variation. Despite the advances in sequencing speeds, the computational discovery of…