Results 181 to 190 of about 328,450 (323)

A Generalizable Transformer Framework for Gene Regulatory Network Inference from Single‐Cell Transcriptomes

Advanced Intelligent Systems, EarlyView.
FTGRN introduces an LLM‐enhanced framework for gene regulatory network inference through a two‐stage workflow. It combines a Transformer‐based model, pretrained on GPT‐4 derived gene embeddings and regulatory knowledge, with a fine‐tuning stage utilizing single‐cell RNA‐seq data.
Guangzheng Weng, Hyobin Kim, Patrick Martin, Junil Kim, Tae‐Hyung Kim, Gi‐Hoon Nam, Dongha Kim, Kyoung Jae Won   +7 more
wiley   +1 more source

Knowledge Distillation in Object Detection: A Survey from CNN to Transformer. [PDF]

Sensors (Basel)
Shehzadi T, Noor R, Ifza I, Liwicki M, Stricker D, Afzal MZ.   +5 more
europepmc   +1 more source

Multivariate Contrastive Predictive Coding with Sliding Windows for Disease Prediction from Electronic Health Records

Advanced Intelligent Systems, EarlyView.
Adaptive multi‐indicator contrastive predictive coding is introduced as a self‐supervised pretraining framework for multivariate EHR time series. An adaptive sliding‐window algorithm and 2D convolutional neural network encoder capture localized temporal patterns and global indicator dependencies, enabling label‐efficient disease prediction that ...
Hongxu Yuan, Xiaozhu Jing, Yuzheng Yan, Wuman Luo   +3 more
wiley   +1 more source

LICS: Locating Inter-Character Spaces for Multilingual Scene Text Detection. [PDF]

Sensors (Basel)
Su PC, Lee MC, Tung YT, Chen LZ, Han CH, Kuo TY.   +5 more
europepmc   +1 more source

Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction

Advanced Intelligent Systems, EarlyView.
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He, Kah Phooi Seng, Chee Shen Lim, Li Minn Ang   +3 more
wiley   +1 more source

Underwater fish image recognition based on knowledge graphs and semi-supervised learning feature enhancement. [PDF]

Sci Rep
Zhang F, Hu J, Sun Y.
europepmc   +1 more source

Feature Disentangling and Combination Implemented by Spin–Orbit Torque Magnetic Tunnel Junctions

Advanced Intelligent Systems, EarlyView.
Spin–orbit torque magnetic tunnel junctions (SOT‐MTJs) enable efficient feature disentangling and integration in image data. A proposed algorithm leverages SOT‐MTJs as true random number generators to disentangle and recombine features in real time, with experimental validation on emoji and facial datasets.
Xiaohan Li, Yingqian Xu, Caihua Wan, Ran Zhang, Meike Hindenberg, Raik Hoffmann, Shiqiang Liu, Tianyi Zhang, Shilong Xiong, Dehao Kong, Jihao Xia, Fangshuo Gao, Zhuyang Nie, Thomas Kämpfe, Guoqiang Yu, Xiufeng Han   +15 more
wiley   +1 more source

Anchoring race: improving the construction of race dimensions in word embeddings. [PDF]

J Comput Soc Sci
Ohamadike N, Durrheim K, Primus M.
europepmc   +1 more source

Table 3_Kefir and healthy aging: revealing thematic gaps through AI-assisted screening and semantic evidence mapping.xlsx

Francesco Chiani (2661328)
openalex   +1 more source

Differential Testing of Simulation-Based Virtual Machine Generators Automatic Detection of VM Generator Semantic Gaps Between Simulation and Generated VMs

, 2022
Pierre Misse-Chanabier, Guillermo Polito, Noury Bouraqadi, Sté́phane Ducasse, Luc Fabresse, Pablo Tesone   +5 more
openalex   +1 more source