Results 41 to 50 of about 219,471 (286)

Artificial immune recognition system with nonlinear resource allocation method and application to traditional Malay music genre classification [PDF]

, 2008
Artificial Immune Recognition System (AIRS) has shown an effective performance on several machine learning problems. In this study, the resource allocation method of AIRS was changed with a nonlinear method.
C. Doraisamy, Shyamala, Hormozi, Shahram Golzari, Mohd Norowi, Noris, Sulaiman, Md. Nasir, Udzir, Nur Izura   +4 more
core   +1 more source

Dissecting the genre of Nigerian music with machine learning models

Journal of King Saud University: Computer and Information Sciences, 2022
Music Information Retrieval (MIR) is the task of extracting high-level information, such as genre, artist or instrumentation from music. Genre classification is an important and rapidly evolving research area of MIR.
Sakinat O. Folorunso, Sulaimon A. Afolabi, Adeoye B. Owodeyi   +2 more
doaj   +1 more source

Variation of word frequencies across genre classification tasks [PDF]

, 2007
This paper examines automated genre classification of text documents and its role in enabling the effective management of digital documents by digital libraries and other repositories.
Kim, Y., Ross, S.
core  

A dancing bear, a colleague, or a sharpened toolbox? The cautious adoption of generative artificial intelligence technologies in digital humanities research

Journal of the Association for Information Science and Technology, EarlyView.
Abstract The emergence of generative artificial intelligence (GenAI) is reshaping the research landscape and carries significant implications for Digital Humanities (DH), a field long intertwined with computational methods and technologies. This study examines how DH scholars are adopting and critically evaluating GenAI in their research. Drawing on an
Rongqian Ma, Meredith Dedema, Andrew Cox
wiley   +1 more source

Inter Genre Similarity Modeling For Automatic Music Genre Classification [PDF]

2006 IEEE 14th Signal Processing and Communications Applications, 2006
Music genre classification is an essential tool for music information retrieval systems and it has been finding critical applications in various media platforms. Two important problems of the automatic music genre classification are feature extraction and classifier design.
Ulas Bagci, Engin Erzin
openaire   +2 more sources

Developing a critical caste analysis within information science and technology: A research review: An annual review of information science and technology paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Caste—an ascriptive social hierarchy in South Asia and its diaspora—is a globalized phenomenon. Recent caste‐based discrimination, particularly in technology companies and anti‐caste efforts to address it, has compelled academia, policy, and the technology industry to better understand contemporary mechanics of caste.
Nayana Kirasur, Britt Paris
wiley   +1 more source

Genre Classification of Books in Russian with Stylometric Features: A Case Study

Information
Within the literary domain, genres function as fundamental organizing concepts that provide readers, publishers, and academics with a unified framework.
Natalia Vanetik, Margarita Tiamanova, Genady Kogan, Marina Litvak   +3 more
doaj   +1 more source

CTP Ontology: A Semantic Model for Structuring Cultural Thematic Paths

Journal of the Association for Information Science and Technology, EarlyView.
Abstract A thematic path enhances the appreciation of cultural heritage by connecting diverse cultural objects through shared themes. This study introduces the Cultural Thematic Path (CTP) Ontology, designed to support the creation, organization, description, publication, and management of thematic paths within the GLAM (Galleries, Libraries, Archives,
Tiziana Pasciuto, Riccardo Albertoni, Roberta Maggi   +2 more
wiley   +1 more source

Automating Metadata Extraction: Genre Classification [PDF]

, 2006
A problem that frequently arises in the management and integration of scientific data is the lack of context and semantics that would link data encoded in disparate ways.
Kim, Dr Yunhyong, Ross, Seamus
core  

Visual features in genre classification of html [PDF]

Proceedings of the eighteenth conference on Hypertext and hypermedia, 2007
Automatic genre classification historically has focused on extracting textual features from documents. In this research, we investigate whether visual features of HTML documents can improve the classification of fine grained genres. Three different sets of features were compared on a genre classification task in the e-commerce domain - one with just ...
Ryan Levering, Michal Cutler, Lei Yu 0001   +2 more
openaire   +1 more source