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Sonia Castelo, Moacir Ponti and 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 often addressed by selecting an instance to represent each bag, transforming a...
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Liz Huancapaza Hilasaca, Milton Cezar Ribeiro and Rosane Minghim
Labeling of samples is a recurrent and time-consuming task in data analysis and machine learning and yet generally overlooked in terms of visual analytics approaches to improve the process. As the number of tailored applications of learning models increa...
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Rosane Minghim, Liz Huancapaza, Erasmo Artur, Guilherme P. Telles and Ivar V. Belizario
Feature Analysis has become a very critical task in data analysis and visualization. Graph structures are very flexible in terms of representation and may encode important information on features but are challenging in regards to layout being adequate fo...
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