Results 51 to 60 of about 279,861 (147)
Semantic search using protein large language models detects class II microcins in bacterial genomes
mSystemsClass II microcins are antimicrobial peptides that have shown some potential as novel antibiotics. However, to date, only 10 class II microcins have been described, and the discovery of novel microcins has been hampered by their short length and high ...
Anastasiya V. Kulikova +3 more
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Adversarial Attentive Multi-Modal Embedding Learning for Image-Text Matching
IEEE Access, 2020 Matching the image and text with deep models has been extensively studied in recent years. Mining the correlation between image and text to learn effective multi-modal features is crucial for image-text matching.
Kaimin Wei, Zhibo Zhou
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Some embeddings related to C*-embeddings [PDF]
Journal of the Australian Mathematical Society. Series A. Pure Mathematics and Statistics, 1988 AbstractA space S is R*-embedded (G*-embedded) in a space X if two disjoint regular closed sets (closure disjoint open sets) of S are contained in disjoint regular closed sets (extended to closure disjoint open sets) of X. A space S is R-extendable to a space X if any regular closed set of S can be extended to a regular closed set of X.
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Counterfactual Mean Embeddings
, 2018 Counterfactual inference has become a ubiquitous tool in online advertisement, recommendation systems, medical diagnosis, and econometrics. Accurate modeling of outcome distributions associated with different interventions -- known as counterfactual distributions -- is crucial for the success of these applications.
Muandet, K. +3 more
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GDRMA: Graph Neural Networks for Document Retrievals With Mean Aggregation
IEEE AccessWith the proliferation of cloud services and high-capacity hard drives, the volume of stored document data is rapidly increasing. Consequently, large-scale document retrieval tasks have been attracting significant attention.
Shigeru Maya
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Fushe yanjiu yu fushe gongyi xuebaoTrichloroacetic acid is a common nonvolatile byproduct of drinking water disinfection and poses carcinogenic risks to the human body. In this study, four types of nano-oxide@microcrystalline-cellulose-based adsorbents (P25@microcrystalline cellulose ...
FU Lili +6 more
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European Journal of Histochemistry, 2015 In canine visceral leishmaniasis a diffuse chronic inflammatory exudate and an intense parasite load throughout the gastrointestinal tract has been previously reported.
A.J.W. Pinto +7 more
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LLM-Enhanced Semantic Text Segmentation
Applied SciencesThis study investigates semantic text segmentation enhanced by large language model (LLM) embeddings. We assess how effectively embeddings capture semantic coherence and topic closure by integrating them into both classical clustering algorithms and a ...
Alexander Krassovitskiy +2 more
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Applied SciencesIn this study, we employ machine learning techniques to improve materials in data scarcity conditions. In particular, we focus on the prediction of the cloud point temperatures of polymer–water systems with thermoresponsive behavior.
Marcela Elisabeth Penoff +2 more
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STFEformer: Spatial–Temporal Fusion Embedding Transformer for Traffic Flow Prediction
Applied SciencesIn the realm of Intelligent Transportation Systems (ITSs), traffic flow prediction is crucial for multiple applications. The primary challenge in traffic flow prediction lies in the handling and modeling of the intricate spatial–temporal correlations ...
Hanqing Yang, Sen Wei, Yuanqing Wang
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