Results 111 to 120 of about 259,805 (294)

Semantic Flooding: Semantic Search across Distributed Lightweight Ontologies [PDF]

, 2009
Lightweight ontologies are trees where links between nodes codify the fact that a node lower in the hierarchy describes a topic (and contains documents about this topic) which is more specific than the topic of the node one level above. In turn, multiple
Giunchiglia, Fausto, Hume, Alethia, Kharkevich, Uladzimir   +2 more
core  

Identity-Aware Textual-Visual Matching with Latent Co-attention

, 2017
Textual-visual matching aims at measuring similarities between sentence descriptions and images. Most existing methods tackle this problem without effectively utilizing identity-level annotations.
Li, Hongsheng, Li, Shuang, Wang, Xiaogang, Xiao, Tong, Yang, Wei   +4 more
core   +1 more source

Design of Safe and Efficient Adenine Base Editors via Protein Language Model Screening for Osteoarthritis Treatment

Advanced Science, EarlyView.
ABSTRACT Base editors enable precise genome modification and have emerged as a promising therapeutic approach for correcting diseases caused by single‐nucleotide variants. While the current efficient version of adenine base editors (ABEs), such as ABE8e, exhibits exceptional efficiency for A‐to‐G conversions, their clinical translation is hindered by ...
Jiawei Yao, Dalin Chen, Ziyi Zhang, Jingxuan Ren, Chengcheng Zhao, Shengfang Wang, Mengyu Shang, Dawei Jiang, Yinuo Li, Su'an Tang, Kai Li, Xiaohui Zhang, Xiaogang Wang   +12 more
wiley   +1 more source

Semantic Matching-Based Neural Network for Text Summarization in Knowledge Extraction

IEEE Access
Text summarization techniques represent an essential research frontier in natural language processing, focusing on distilling lengthy texts into concise summaries that retain key insights. Traditional extractive summarization methods primarily operate at
Jingxuan Liu, Jialuoyi Tan, Zhen Hua
doaj   +1 more source

Semantic matching based legal information retrieval system for COVID-19 pandemic. [PDF]

Artif Intell Law (Dordr), 2023
Zhu J, Wu J, Luo X, Liu J.
europepmc   +1 more source

Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface

Advanced Science, EarlyView.
Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley   +1 more source

Learnable Diffusion Framework for Mouse V1 Neural Decoding

Advanced Science, EarlyView.
We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng, Peter S. Schwendeman, Yuanfang Guan   +2 more
wiley   +1 more source

Semantic Matching in Search [PDF]

Foundations and Trends® in Information Retrieval, 2014
Jun Xu, Hang Li
openaire   +2 more sources

GDUI: Guided Diffusion Model for Unlabeled Images

Algorithms
The diffusion model has made progress in the field of image synthesis, especially in the area of conditional image synthesis. However, this improvement is highly dependent on large annotated datasets.
Xuanyuan Xie, Jieyu Zhao
doaj   +1 more source

Convolutional Neural Network-Based Cross-Media Semantic Matching and User Adaptive Satisfaction Analysis Model. [PDF]

Comput Intell Neurosci, 2022
Jiang L.
europepmc   +1 more source