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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-95492-y
Abstract: Text classification aims to establish text distinctions, which face difficulty in capturing global text semantics and local details. To address this issue, we propose an Adaptive Feature Interactive Enhancement Network (AFIENet). Specifically, AFIENet uses two…
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Keywords:
text classification;
adaptive feature;
enhancement network;
network ... See more keywords
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Published in 2022 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2021.3085994
Abstract: Because of the limited context information, it is a challenging task to classify short texts. Most existing methods only focus on extracting high-quality local features or global features from text to construct text representations, which…
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Keywords:
local enhancement;
enhancement network;
local features;
text ... See more keywords
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Published in 2025 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2025.3559995
Abstract: Scene graph generation (SGG) establishes a structured representation between multiple objects by exploring their relationship for visual perception and reasoning tasks. Existing SGG methods often fit the relationships’ distribution by introducing language prior or statistical…
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Keywords:
scene graph;
enhancement network;
causal features;
features enhancement ... See more keywords
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Published in 2025 at "BMC Medical Imaging"
DOI: 10.1186/s12880-025-01909-5
Abstract: Deep learning necessitates a substantial amount of data, yet obtaining sufficient medical images is difficult due to concerns about patient privacy and high collection costs. To address this issue, we propose a conditional latent diffusion…
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Keywords:
enhancement network;
image;
medical image;
medienet ... See more keywords