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cs.HC2022
Understanding High Dimensional Spaces through Visual Means Employing Multidimensional Projections
Haseeb Younis, Paul Trust, Rosane Minghim
Data visualisation helps understanding data represented by multiple variables, also called features, stored in a large matrix where individuals are stored in lines and variable val…
cs.HC2020
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…