17 July 2018
In this E-Lecture we introduce a comprehensive approach of automatic classification and interpretation of geophysical data based on Machine Learning and digital music technology. The methodology consists of two main steps. First, we convert geophysical
data into MIDI files (Musical Instrument Digital Interface). Then, we extract MIDI features from the converted data. These “musical features” are finally used as complementary attributes for data classification through Machine Learning approaches.
After introducing the basic methodological aspects, we discuss examples and applications to real geophysical data.
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