Showing items with similar title or keywords.

• Testing a spectral-based feature set for audio genre classification 

  Hartmann, Martín Ariel (2011)

  Automatic musical genre classification is an important information retrieval task since it can be applied for practical purposes such as the organization of data collections in the digital music industry. However, this ...

• Classification of cortical TMS locations according to multiple upper limb muscle responses 

  Onnia, Vesa (2023)

  Johdanto. Motorisen aivokuoren alueita on aiemmin kartoitettu siltä kannalta, että yksittäisillä lihaksilla on aivokuorella edustusalueita, joista niitä kontrolloidaan. Vähitellen on ymmärretty, että tällaiset edustusalueet ...

• Unstable feature relevance in classification tasks 

  Skrypnyk, Iryna (University of Jyväskylä, 2011)

• Comparison of feature importance measures as explanations for classification models 

  Saarela, Mirka; Jauhiainen, Susanne (Springer, 2021)

  Explainable artificial intelligence is an emerging research direction helping the user or developer of machine learning models understand why models behave the way they do. The most popular explanation technique is feature ...

• Classification of dementia from spoken speech using feature selection and the bag of acoustic words model 

  Niemelä, Marko; von Bonsdorff, Mikaela; Äyrämö, Sami; Kärkkäinen, Tommi (American Institute of Mathematical Sciences (AIMS), 2024)

  Memory disorders and dementia are a central factor in the decline of functioning and daily activities in older individuals. The workload related to standardized speech tests in clinical settings has led to a growing emphasis ...