Emotion is a complicated notion present in music that is hard to capture even with fine-tuned
feature engineering. In this paper, we investigate the utility of state-of-the-art pre-trained …

In recent years, deep learning technique has received intense attention owing to its great
success in image recognition. A tendency of adaption of deep learning in various …

This paper presents research on music genre recognition. It is a crucial task because there
are millions of songs in the online databases. Classifying them by a human being is …

The classification of music genres is essential due to millions of songs in online databases. It
would be nearly impossible or very costly to do this job manually. That is why there is a need …

The study of model bias and variance with respect to decision boundaries is critically
important in supervised learning and artificial intelligence. There is generally a tradeoff …

In this study, we proposed a novel semi-supervised training method that uses unlabeled
data with a class distribution that is completely different from the target data or data without a …

Knowledge distillation (KD) technique is widely known for its outstanding ability to train a
compact student model under supervision of a cumbersome pre-trained teacher network …

Abstract Machine learning is a methodology of data analysis that allows software to learn
about data, identify patterns, and make predictions without human intervention. Using …

Advances in artificial intelligence and machine learning have begun a revolution in the
understanding and analysis of data across nearly every industry. AI and ML methods …