A semi-supervised domain adaptation assembling approach for image classification
Sign Up to like & getrecommendations! Published in 2017 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-017-0664-1
Abstract: Automatic annotation of images is one of the fundamental problems in computer vision applications. With the increasing amount of freely available images, it is quite possible that the training data used to learn a classifier… read more here.
Keywords: classification; semi supervised; domain adaptation; fusion methods ... See more keywords
The application of helix fusion methods in structural biology.
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DOI: 10.1016/j.sbi.2019.12.007
Abstract: Methods generating fusion proteins with rigid and predictable structures have been developed in recent years. Among them, helix fusion methods that link two proteins by connecting their terminal alpha helices into a single and extended… read more here.
Keywords: helix fusion; structural biology; biology; fusion ... See more keywords
A Framework to Evaluate Fusion Methods for Multimodal Emotion Recognition
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DOI: 10.1109/access.2023.3240420
Abstract: Multimodal methods for emotion recognition consider several sources of data to predict emotions; thus, a fusion method is needed to aggregate the individual results. In the literature, there is a high variety of fusion methods… read more here.
Keywords: emotion recognition; fusion; fusion methods; framework ... See more keywords
A Review of Fusion Methods for Omics and Imaging Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2022.3143900
Abstract: The development of omics data and biomedical images has greatly advanced the progress of precision medicine in diagnosis, treatment, and prognosis. The fusion of omics and imaging data, i.e., omics-imaging fusion, offers a new strategy… read more here.
Keywords: fusion; methods omics; omics imaging; review fusion ... See more keywords