Large language models for time series: A survey
Large Language Models (LLMs) have seen significant use in domains such as natural
language processing and computer vision. Going beyond text, image and graphics, LLMs …
language processing and computer vision. Going beyond text, image and graphics, LLMs …
Language Models Still Struggle to Zero-shot Reason about Time Series
Time series are critical for decision-making in fields like finance and healthcare. Their
importance has driven a recent influx of works passing time series into language models …
importance has driven a recent influx of works passing time series into language models …
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection
This study introduces the Federated Medical Knowledge Injection (FEDMEKI) platform, a
new benchmark designed to address the unique challenges of integrating medical …
new benchmark designed to address the unique challenges of integrating medical …
FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks
Advancements in Multimodal Large Language Models (MLLMs) have significantly improved
medical task performance, such as Visual Question Answering (VQA) and Report …
medical task performance, such as Visual Question Answering (VQA) and Report …
Electrocardiogram Report Generation and Question Answering via Retrieval-Augmented Self-Supervised Modeling
Interpreting electrocardiograms (ECGs) and generating comprehensive reports remain
challenging tasks in cardiology, often requiring specialized expertise and significant time …
challenging tasks in cardiology, often requiring specialized expertise and significant time …
Resource-Efficient Heartbeat Classification Using Multi-Feature Fusion and Bidirectional LSTM
R Nikandish, J He, B Haghi - arXiv preprint arXiv:2405.15312, 2024 - arxiv.org
In this article, we present a resource-efficient approach for electrocardiogram (ECG) based
heartbeat classification using multi-feature fusion and bidirectional long short-term memory …
heartbeat classification using multi-feature fusion and bidirectional long short-term memory …
Unifying Physics and Semantics for Robust Sensor Time Series Analysis
X Zhang - 2024 - search.proquest.com
The past decade has witnessed a significant growth of deployed sensors in our daily life,
covering applications from healthcare, climate modeling to home automation and robotics …
covering applications from healthcare, climate modeling to home automation and robotics …