72 citations · 110 across the 8 of their papers we have counts for
3 papers · 1 filter
A Visual Mining Approach to Improved Multiple-Instance Learning
Sonia Castelo, Moacir Ponti, Rosane Minghim
Multiple-instance learning (MIL) is a paradigm of machine learning that aims to classify a set (bag) of objects (instances), assigning labels only to the bags. This problem is ofte…
Towards Evaluating Exploratory Model Building Process with AutoML Systems
Sungsoo Ray Hong, Sonia Castelo, Vito D'Orazio +6
The use of Automated Machine Learning (AutoML) systems are highly open-ended and exploratory. While rigorously evaluating how end-users interact with AutoML is crucial, establishin…
PipelineProfiler: A Visual Analytics Tool for the Exploration of AutoML Pipelines
Jorge Piazentin Ono, Sonia Castelo, Roque Lopez +3
In recent years, a wide variety of automated machine learning (AutoML) methods have been proposed to search and generate end-to-end learning pipelines. While these techniques facil…