The research expects to explore the application of intelligent music recognition technology
in music teaching. Based on the Long Short-Term Memory network knowledge, an algorithm …

This study examines the profitability of using machine learning algorithms to select a subset
of stocks over the S&P 500 using factors as features. We use tree-based algorithms …

Over the past decade, the invention of streaming services has led to the magnification of the
music industry. With a plethora of available song choices, there is a dire need for …

The existing MIR research on genre classification primarily focuses on how to classify a
song into the “correct” genre while downplaying the fact that genres mutate over time and in …

In the supervised classification area, the algorithm selection problem (ASP) refers to
determining the a priori performance of a given classifier in some specific problem, as well …

Despite the long history of music psychology, rhythm similarity perception remains largely
unexplored. Several studies suggest that edit-distance—the minimum number of notational …

Sažetak Electronic music festivals became one of the most successful forms of tourism for
young adults. In the paper, authors aimed to explored the motivation and the perception of …

The advancement of techniques and computational tools for data mining has been boosting
the music market with applications focused on user experience. These techniques explore …

Electronic dance music (EDM), produced using computers and electronic instruments, is a
collection of musical subgenres that emphasise timbre and rhythm over melody and …

The aim of this study is to indicate the effectiveness of comments in facilitating or increasing
Iraqi learners' listening comprehension. In this quantitative research, the sample includes 26 …