2024年10月3日 · To address these obstacles, we propose C-MELT, a novel framework that pre-trains ECG and text data using a contrastive masked auto-encoder architecture. C-MELT uniquely combines the strengths of generative with enhanced discriminative capabilities to achieve robust cross-modal representations.

We propose C-MELT, a framework designed to learn generalizable cross-modal representations by aligning electrocardiogram (ECG) signals and corresponding medical text reports. C-MELT leverages masked language modeling (MLM) and masked ECG modeling (MEM) to reconstruct randomly masked segments within the input text and ECG signals, respectively.

2024年10月10日 · We propose C-MELT, a novel framework for multimodal self-supervised learning of Electrocardiogram (ECG) and text encoders. C-MELT pre-trains a contrastive-enhanced masked auto-encoder architecture using ECG-text paired data. It exploits the generative strengths with improved discriminative capabilities to …

2023年4月3日 · melt() 是 reshape2包中的一个函数，它用于将数据框从“宽格式（wide format）”转换为“长格式（long format）”。 宽格式指的是一列代表一组，多列数据用于表示一组内的多个变量；

C-MELT: Contrastive Enhanced Masked Auto-Encoders for ECG-Language Pre-Training. arXiv preprint arXiv:2410.02131. https://arxiv.org/abs/2410.02131 In-bed posture classification using pressure sensor data and spiking neural network

2025年3月4日 · C-MELT: Contrastive Enhanced Masked Auto-Encoders for ECG-Language Pre-Training. CoRR abs/2410.02131 (2024)

提出的c-melt框架利用对比掩码自编码器架构，在跨模态学习中实现了强大的表示能力，实验结果显示其在多个下游任务中均显著优于现有方法，显示出在自动临床诊断中的潜力。

To address these obstacles, we propose C-MELT, a novel framework that pre-trains ECG and text data using a contrastive masked auto-encoder architecture. C-MELT uniquely combines the strengths of generative with enhanced discriminative capabilities to achieve robust cross-modal representations.

C-MELT: Contrastive Enhanced Masked Auto-Encoders for ECG-Language Pre-Training. What is BibSonomy? BibSonomy is offered by the Data Science Chair of the University of Würzburg, …

2020年6月4日 · melt函数是R语言中reshape2包中的一个函数，用于将数据框从“宽格式”转换为“长格式”。通过melt函数，可以将原始的宽数据框转换为适合进行作图和分析的长数据格式，或者将长数据框转换为宽数据格式。 在你提供的...