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Published in 2018 at "Bioinformatics"
DOI: 10.1093/bioinformatics/bty063
Abstract: Summary: Detecting and interpreting responsive modules from gene expression data by using network‐based approaches is a common but laborious task. It often requires the application of several computational methods implemented in different software packages, forcing…
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Keywords:
network;
response modules;
inference network;
inform inference ... See more keywords
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Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3163445
Abstract: Speech emotion recognition (SER) is a non-trivial task for humans, while it remains challenging for automatic SER due to the linguistic complexity and contextual distortion. Notably, previous automatic SER systems always regarded multi-modal information and…
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Keywords:
relation inference;
inference network;
emotion recognition;
temporal relation ... See more keywords
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Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.3018269
Abstract: The process of learning good representations for machine learning tasks can be very computationally expensive. Typically, the model learned on training set is leveraged to infer the labels of testing data. Interestingly, this learning and…
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Keywords:
inference;
learning layer;
inference network;
skippable inference ... See more keywords
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Published in 2023 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2023.3251103
Abstract: Domain generalization (DG) aims to learn transferable knowledge from multiple source domains and generalize it to the unseen target domain. To achieve such expectation, the intuitive solution is to seek domain-invariant representations via generative adversarial…
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Keywords:
domain generalization;
domain;
inference network;
model ... See more keywords