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Alternative Medicine

Latest AI and machine learning research in alternative medicine for healthcare professionals.

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Showing 568-588 of 920 articles
Enhancing short-term traffic prediction by integrating trends and fluctuations with attention mechanism

Traffic flow prediction is a critical component of intelligent transportation systems, yet accurat...

EvidenceBench: A Benchmark for Extracting Evidence from Biomedical Papers

We study the task of automatically finding evidence relevant to hypotheses in biomedical papers. F...

Probing the Visualization Literacy of Vision Language Models: the Good, the Bad, and the Ugly

Vision Language Models (VLMs) demonstrate promising chart comprehension capabilities. Yet, prior e...

Analytical Discovery of Manifold with Machine Learning

Understanding low-dimensional structures within high-dimensional data is crucial for visualization...

New opportunities and challenges for conservation evidence synthesis from advances in natural language processing.

Addressing global environmental conservation problems requires rapidly translating natural and conse...

Apr 2025 40165707
Advancing 3D Gaussian Splatting Editing with Complementary and Consensus Information

We present a novel framework for enhancing the visual fidelity and consistency of text-guided 3D G...

Dual Codebook VQ: Enhanced Image Reconstruction with Reduced Codebook Size

Vector Quantization (VQ) techniques face significant challenges in codebook utilization, limiting ...

Brain Inspired Adaptive Memory Dual-Net for Few-Shot Image Classification

Few-shot image classification has become a popular research topic for its wide application in real...

GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images

While recent multimodal large language models (MLLMs) have advanced automated ECG interpretation, ...

RGB-Thermal Infrared Fusion for Robust Depth Estimation in Complex Environments

Depth estimation in complex real-world scenarios is a challenging task, especially when relying so...

Through the Static: Demystifying Malware Visualization via Explainability

Security researchers grapple with the surge of malicious files, necessitating swift identification...

Benchmarking ensemble machine learning algorithms for multi-class, multi-omics data integration in clinical outcome prediction.

The complementary information found in different modalities of patient data can aid in more accurate...

Mar 2025 40116658
MethPriorGCN: a deep learning tool for inferring DNA methylation prior knowledge and guiding personalized medicine.

DNA methylation plays a crucial role in human diseases pathogenesis. Substantial experimental eviden...

Mar 2025 40131311
Reliable Explainability of Deep Learning Spatial-Spectral Classifiers for Improved Semantic Segmentation in Autonomous Driving

Integrating hyperspectral imagery (HSI) with deep neural networks (DNNs) can strengthen the accura...

Spatial and Frequency Domain Adaptive Fusion Network for Image Deblurring

Image deblurring aims to reconstruct a latent sharp image from its corresponding blurred one. Alth...

Mentoring Software in Education and Its Impact on Teacher Development: An Integrative Literature Review

Mentoring software is a pivotal innovation in addressing critical challenges in teacher developmen...

RT-DEMT: A hybrid real-time acupoint detection model combining mamba and transformer

Traditional Chinese acupuncture methods often face controversy in clinical practice due to their h...

E2LVLM:Evidence-Enhanced Large Vision-Language Model for Multimodal Out-of-Context Misinformation Detection

Recent studies in Large Vision-Language Models (LVLMs) have demonstrated impressive advancements i...

Complementary Subspace Low-Rank Adaptation of Vision-Language Models for Few-Shot Classification

Vision language model (VLM) has been designed for large scale image-text alignment as a pretrained...

Mitigating GenAI-powered Evidence Pollution for Out-of-Context Multimodal Misinformation Detection

While large generative artificial intelligence (GenAI) models have achieved significant success, t...

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