2025-12-02-25_articles_updated
Published:
期刊: Nature Communications
标题: 机器学习在急诊室风险分层中的应用（MARS-ED）：一项随机对照试验
英文标题: Machine learning for risk stratification in the emergency department (MARS-ED): a randomized controlled trial
链接: https://www.nature.com/articles/s41467-025-66947-7
期刊: Computational biology and bioinformatics : nature.com subject feeds
标题: 机器学习在急诊科风险分层中的应用（MARS-ED）：一项随机对照试验
英文标题: Machine learning for risk stratification in the emergency department (MARS-ED): a randomized controlled trial
链接: https://www.nature.com/articles/s41467-025-66947-7
期刊: cs.LG updates on arXiv.org
标题: 《Rashomon 集的双刃性质：确保机器学习的可信度》
英文标题: The Double-Edged Nature of the Rashomon Set for Trustworthy Machine Learning
链接: https://arxiv.org/abs/2511.21799
期刊: cs.LG updates on arXiv.org
标题: 多模态机器学习在人类-人工智能交互中利用面部图像和GSR生物信号进行早期信任预测
英文标题: Multi-Modal Machine Learning for Early Trust Prediction in Human-AI Interaction Using Face Image and GSR Bio Signals
链接: https://arxiv.org/abs/2511.21908
期刊: cs.LG updates on arXiv.org
标题: 深度学习架构在代码调制视觉诱发电位检测中的应用
英文标题: Deep Learning Architectures for Code-Modulated Visual Evoked Potentials Detection
链接: https://arxiv.org/abs/2511.21940
期刊: cs.LG updates on arXiv.org
标题: 阿里巴巴淘宝广告数据集上使用传统和深度学习模型进行点击率预测
英文标题: CTR Prediction on Alibaba’s Taobao Advertising Dataset Using Traditional and Deep Learning Models
链接: https://arxiv.org/abs/2511.21963
期刊: cs.LG updates on arXiv.org
标题: 非小细胞肺癌细胞系中放疗反应预测的整合转录组-蛋白质组生物标志物鉴定
英文标题: Integrated Transcriptomic-proteomic Biomarker Identification for Radiation Response Prediction in Non-small Cell Lung Cancer Cell Lines
链接: https://arxiv.org/abs/2511.22735
期刊: cs.LG updates on arXiv.org
标题: CausalProfiler：生成用于严格和透明评估因果机器学习的合成基准
英文标题: CausalProfiler: Generating Synthetic Benchmarks for Rigorous and Transparent Evaluation of Causal Machine Learning
链接: https://arxiv.org/abs/2511.22842
期刊: cs.LG updates on arXiv.org
标题: BanglaSentNet：一个具有跨域迁移学习的可解释混合深度学习框架，用于多方面情感分析
英文标题: BanglaSentNet: An Explainable Hybrid Deep Learning Framework for Multi-Aspect Sentiment Analysis with Cross-Domain Transfer Learning
链接: https://arxiv.org/abs/2511.23264
期刊: cs.LG updates on arXiv.org
标题: 机器学习在科学可视化中的应用：集成数据分析
英文标题: Machine Learning for Scientific Visualization: Ensemble Data Analysis
链接: https://arxiv.org/abs/2511.23290
期刊: cs.LG updates on arXiv.org
标题: 自动化统计与机器学习平台用于生物研究
英文标题: Automated Statistical and Machine Learning Platform for Biological Research
链接: https://arxiv.org/abs/2511.21770
期刊: cs.LG updates on arXiv.org
标题: 算法和科学软件用于准蒙特卡洛、快速高斯过程回归和科学机器学习
英文标题: Algorithms and Scientific Software for Quasi-Monte Carlo, Fast Gaussian Process Regression, and Scientific Machine Learning
链接: https://arxiv.org/abs/2511.21915
期刊: cs.LG updates on arXiv.org
标题: DeepGI：用于胃肠道图像分类的可解释深度学习
英文标题: DeepGI: Explainable Deep Learning for Gastrointestinal Image Classification
链接: https://arxiv.org/abs/2511.21959
期刊: cs.LG updates on arXiv.org
标题: 基于生成深度学习的RGB卫星影像数字高程模型估计
英文标题: Digital Elevation Model Estimation from RGB Satellite Imagery using Generative Deep Learning
链接: https://arxiv.org/abs/2511.21985
期刊: cs.LG updates on arXiv.org
标题: 评估双量子点数据中多类状态识别的机器学习模型基准
英文标题: Benchmarking machine learning models for multi-class state recognition in double duantum dot data
链接: https://arxiv.org/abs/2511.22451
期刊: cs.LG updates on arXiv.org
标题: 等离子体矩封闭关系的机器学习方法：综述
英文标题: The Machine Learning Approach to Moment Closure Relations for Plasma: A Review
链接: https://arxiv.org/abs/2511.22486
期刊: cs.LG updates on arXiv.org
标题: 光学衍射神经网络辅助通过动态散射介质进行计算鬼成像
英文标题: Optical diffraction neural networks assisted computational ghost imaging through dynamic scattering media
链接: https://arxiv.org/abs/2511.22913
期刊: cs.LG updates on arXiv.org
标题: 机器学习在暴力预测中的应用：系统评价与批判性评估
英文标题: Machine learning for violence prediction: a systematic review and critical appraisal
链接: https://arxiv.org/abs/2511.23118
期刊: cs.LG updates on arXiv.org
标题: 氧化镓（Ga$_2$O$_3$）TCAD迁移率参数的模拟增强机器学习与物理信息神经网络校准
英文标题: Ga$_2$O$_3$ TCAD Mobility Parameter Calibration using Simulation Augmented Machine Learning with Physics Informed Neural Network
链接: https://arxiv.org/abs/2504.02283
期刊: cs.LG updates on arXiv.org
标题: 儿茶酚基准：用于少量样本机器学习的时序溶剂选择数据
英文标题: The Catechol Benchmark: Time-series Solvent Selection Data for Few-shot Machine Learning
链接: https://arxiv.org/abs/2506.07619
期刊: cs.LG updates on arXiv.org
标题: Oya：用于准确全球降水估计的深度学习
英文标题: Oya: Deep Learning for Accurate Global Precipitation Estimation
链接: https://arxiv.org/abs/2511.10562
期刊: cs.LG updates on arXiv.org
标题: 科学应用中机器学习实验的最佳实践
英文标题: Best Practices for Machine Learning Experimentation in Scientific Applications
链接: https://arxiv.org/abs/2511.21354
期刊: cs.LG updates on arXiv.org
标题: 利用图机器学习检测控制器区域网络中的伪装攻击
英文标题: Detecting Masquerade Attacks in Controller Area Networks Using Graph Machine Learning
链接: https://arxiv.org/abs/2408.05427
期刊: cs.LG updates on arXiv.org
标题: 目标深度学习系统边界测试
英文标题: Targeted Deep Learning System Boundary Testing
链接: https://arxiv.org/abs/2408.06258
期刊: cs.LG updates on arXiv.org
标题: 高效学习粗粒化机器学习势能的增强采样
英文标题: Enhanced Sampling for Efficient Learning of Coarse-Grained Machine Learning Potentials
链接: https://arxiv.org/abs/2510.11148