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Detalhes Referência

Tipo
Artigos em Conferência

Tipo de Documento
Artigo Completo

Título
Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS

Participantes na publicação
Diogo Soares (Author)
LASIGE
Rui Henriques (Author)
Marta Gromicho (Author)
Susana Pinto (Author)
Mamede de Carvalho (Author)
Sara C. Madeira (Author)
Dep. Informática
LASIGE

Data de Publicação
2020-07-23

Evento
Advances in Intelligent Systems and Computing,Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020)

Identificadores da Publicação
ISSN - 2194-5357,2194-5365
ISBN - 9783030545673,9783030545680

Editora
Springer International Publishing

Número de Páginas
10
Página Inicial
112
Página Final
122

Identificadores do Documento
DOI - https://doi.org/10.1007/978-3-030-54568-0_12
URL - http://dx.doi.org/10.1007/978-3-030-54568-0_12


Exportar referência

APA
Diogo Soares, Rui Henriques, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira, (2020). Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS. Advances in Intelligent Systems and Computing,Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020), 112-122

IEEE
Diogo Soares, Rui Henriques, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira, "Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS" in Advances in Intelligent Systems and Computing,Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020), , 2020, pp. 112-122, doi: 10.1007/978-3-030-54568-0_12

BIBTEX
@InProceedings{46787, author = {Diogo Soares and Rui Henriques and Marta Gromicho and Susana Pinto and Mamede de Carvalho and Sara C. Madeira}, title = {Towards Triclustering-Based Classification of Three-Way Clinical Data: A Case Study on Predicting Non-invasive Ventilation in ALS}, booktitle = {Advances in Intelligent Systems and Computing,Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020)}, year = 2020, pages = {112-122}, address = {}, publisher = {Springer International Publishing} }