Detalhes
Nome
Paula Raissa SilvaCluster
InformáticaCargo
Assistente de InvestigaçãoDesde
13 setembro 2017
Nacionalidade
BrasilCentro
Laboratório de Inteligência Artificial e Apoio à DecisãoContactos
+351220402963
paula.r.silva@inesctec.pt
2020
Autores
Silva, PR;
Publicação
PROCEEDINGS OF THE 35TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING (SAC'20)
Abstract
With the advances of the big data era in biology, deep learning have been incorporated in analysis pipelines trying to transform biological information into valuable knowledge. Deep learning demonstrated its power in promoting bioinformatics field including sequence analysis, bio-molecular property and function prediction, automatic medical diagnosis and to analyse cell imaging data. The ambition of this work is to create an approach that can fully explore the relationships across modalities and subjects through mining and fusing features from multi-modality data for cell state classification. The system should be able to classify cell state through multimodal deep learning techniques using heterogeneous data such as biological images, genomics and clinical annotations. Our pilot study addresses the data acquisition process and the framework capable to extract biological parameters from cell images. © 2020 Owner/Author.
2018
Autores
Santos, P; Neves, J; Silva, P; Dias, SM; Zárate, L; Song, M;
Publicação
Proceedings of the 20th International Conference on Enterprise Information Systems
Abstract
2018
Autores
Santos, PG; Ruas, PHB; Neves, JCV; Silva, PR; Dias, SM; Zarate, LE; Song, MAJ;
Publicação
INFORMATION
Abstract
2018
Autores
Raissa, P; Dias, S; Song, M; Zárate, L;
Publicação
International Journal of Web Information Systems
Abstract
2018
Autores
Silva, PR; Dias, SM; Brandão, WC; Song, MA; Zárate, LE;
Publicação
Enterprise Information Systems - Lecture Notes in Business Information Processing
Abstract
The access to the final selection minute is only available to applicants.
Please check the confirmation e-mail of your application to obtain the access code.