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Multi-source heterogeneous data fusion and intelligent prediction modeling for chemical engineering construction projects based on improved transformer architecture. [PDF]
Xin D.
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Interpretable integration of unpaired multi-omics for Alzheimer's diagnosis via cross-modal transformer reconstruction. [PDF]
Liao K +8 more
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Multi-modal semantic autoencoder for cross-modal retrieval
Neurocomputing, 2019Cross-modal retrieval has gained much attention in recent years. As the research mainstream, most of existing approaches learn projections for data from different modalities into a common space where data can be compared directly.
Yiling Wu, Shuhui Wang, Qingming Huang
semanticscholar +3 more sources
Masking-Based Cross-Modal Remote Sensing Image–Text Retrieval via Dynamic Contrastive Learning
IEEE Transactions on Geoscience and Remote SensingCross-modal remote sensing image-text retrieval (CMRSITR) aims to extract comprehensive information from diverse modalities. The primary challenge in this field is developing effective mappings between visual and textual modalities to a shared latent ...
Zuopeng Zhao +7 more
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Establishing Cross-Modal Mappings:
2014Pawan Sinha, Jonas Wulff, Richard Held
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Future Oncology, 2021
Aims: This study presents a survival stratification model based on multi-omics integration using bidirectional deep neural networks (BiDNNs) in gastric cancer.
Jianmin Xu +4 more
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Aims: This study presents a survival stratification model based on multi-omics integration using bidirectional deep neural networks (BiDNNs) in gastric cancer.
Jianmin Xu +4 more
semanticscholar +1 more source
Children's reading development: Learning about sounds, symbols, and cross-modal mappings.
2012Sonali Nag, Margaret J. Snowling
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Sound symbolism in infancy: evidence for sound-shape cross-modal correspondences in 4-month-olds.
Journal of Experimental Child Psychology, 2013O. Ozturk +2 more
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