2025-12-03-36_articles_updated
Published:
期刊: Computational biology and bioinformatics : nature.com subject feeds
标题: TAPB:一种用于缓解药物-靶点相互作用预测中目标先验偏差的干预性去偏框架
英文标题: TAPB: an interventional debiasing framework for alleviating target prior bias in drug-target interaction prediction
链接: https://www.nature.com/articles/s41467-025-66915-1
期刊: Computational biology and bioinformatics : nature.com subject feeds
标题: 深度学习生成的糖代谢异常的数字生物标志物及其与2型糖尿病遗传风险的相关性
英文标题: A deep learning-derived digital biomarker of dysglycemia and its association with genetic risk of type 2 diabetes
链接: https://www.nature.com/articles/s44324-025-00089-8
期刊: Computational biology and bioinformatics : nature.com subject feeds
标题: 通过集成深度核糖体展示和深度学习解码蛋白质结合可塑性
英文标题: Decoding protein binding plasticity via integrated deep ribosome display and deep learning
链接: https://www.nature.com/articles/s42003-025-09160-y
期刊: JAMA Current Issue
标题: 人工智能辅助的多任务深度学习超声心动图解读
英文标题: AI-Enabled Echocardiography Interpretation With Multitask Deep Learning
链接: https://jamanetwork.com/journals/jama/fullarticle/2840719
期刊: JAMA Current Issue
标题: 基于多任务深度学习的AI辅助超声心动图解读
英文标题: AI-Enabled Echocardiography Interpretation With Multitask Deep Learning
链接: https://jamanetwork.com/journals/jama/fullarticle/2840718
期刊: JAMA Current Issue
标题: 人工智能辅助的多任务深度学习超声心动图解读——回复
英文标题: AI-Enabled Echocardiography Interpretation With Multitask Deep Learning—Reply
链接: https://jamanetwork.com/journals/jama/fullarticle/2840717
期刊: cs.LG updates on arXiv.org
标题: 隐私保护混合类型表格数据生成的扩散模型
英文标题: Privacy Preserving Diffusion Models for Mixed-Type Tabular Data Generation
链接: https://arxiv.org/abs/2512.00638
期刊: cs.LG updates on arXiv.org
标题: 表格数据合成的流匹配
英文标题: Flow Matching for Tabular Data Synthesis
链接: https://arxiv.org/abs/2512.00698
期刊: cs.LG updates on arXiv.org
标题: 深度学习在混合风电场发电建模与调度中的应用
英文标题: Deep Learning for Modeling and Dispatching Hybrid Wind Farm Power Generation
链接: https://arxiv.org/abs/2512.00728
期刊: cs.LG updates on arXiv.org
标题: 机器学习在超声心动图数据中的亚组有效性
英文标题: Subgroup Validity in Machine Learning for Echocardiogram Data
链接: https://arxiv.org/abs/2512.00976
期刊: cs.LG updates on arXiv.org
标题: 纤维束网络:一种几何机器学习范式
英文标题: Fiber Bundle Networks: A Geometric Machine Learning Paradigm
链接: https://arxiv.org/abs/2512.01151
期刊: cs.LG updates on arXiv.org
标题: 基于机器学习和SHAP分析在智能制造环境中对铣床预测性维护的研究
英文标题: Research on Milling Machine Predictive Maintenance Based on Machine Learning and SHAP Analysis in Intelligent Manufacturing Environment
链接: https://arxiv.org/abs/2512.01205
期刊: cs.LG updates on arXiv.org
标题: 基于LIME可解释性的机器学习算法在电力价格预测中的比较研究
英文标题: A Comparative Study of Machine Learning Algorithms for Electricity Price Forecasting with LIME-Based Interpretability
链接: https://arxiv.org/abs/2512.01212
期刊: cs.LG updates on arXiv.org
标题: milearn: 一个用于多实例机器学习的Python包
英文标题: milearn: A Python Package for Multi-Instance Machine Learning
链接: https://arxiv.org/abs/2512.01287
期刊: cs.LG updates on arXiv.org
标题: 关于生成深度学习模型在降尺度降水预测中的全球适用性和位置迁移性研究
英文标题: On Global Applicability and Location Transferability of Generative Deep Learning Models for Precipitation Downscaling
链接: https://arxiv.org/abs/2512.01400
期刊: cs.LG updates on arXiv.org
标题: 将大型语言模型(LLMs)按照与人类大脑相同的计算路径进行扩展和上下文引导
英文标题: Scaling and context steer LLMs along the same computational path as the human brain
链接: https://arxiv.org/abs/2512.01591
期刊: cs.LG updates on arXiv.org
标题: DeepCAVE:一种用于自动机器学习的可视化与分析工具
英文标题: DeepCAVE: A Visualization and Analysis Tool for Automated Machine Learning
链接: https://arxiv.org/abs/2512.01810
期刊: cs.LG updates on arXiv.org
标题: SafeCiM:研究混合浮点内存计算深度学习加速器的弹性
英文标题: SafeCiM: Investigating Resilience of Hybrid Floating-Point Compute-in-Memory Deep Learning Accelerators
链接: https://arxiv.org/abs/2512.00059
期刊: cs.LG updates on arXiv.org
标题: 一个用于大规模热建筑数据生成的高配置框架,以推动机器学习研究
英文标题: A Highly Configurable Framework for Large-Scale Thermal Building Data Generation to drive Machine Learning Research
链接: https://arxiv.org/abs/2512.00483
期刊: cs.LG updates on arXiv.org
标题: 可解释的多模态深度学习用于从呼吸音频信号中自动检测肺部疾病
英文标题: Explainable Multi-Modal Deep Learning for Automatic Detection of Lung Diseases from Respiratory Audio Signals
链接: https://arxiv.org/abs/2512.00563
期刊: cs.LG updates on arXiv.org
标题: 统计-计算在多高斯图对齐中的差距
英文标题: Statistical-computational gap in multiple Gaussian graph alignment
链接: https://arxiv.org/abs/2512.00610
期刊: cs.LG updates on arXiv.org
标题: 多普勒增强深度学习:利用YOLOv5实例分割改进甲状腺结节分割
英文标题: Doppler-Enhanced Deep Learning: Improving Thyroid Nodule Segmentation with YOLOv5 Instance Segmentation
链接: https://arxiv.org/abs/2512.00639
期刊: cs.LG updates on arXiv.org
标题: ForamDeepSlice:一种用于从二维微CT切片中高精度分类有孔虫物种的深度学习框架
英文标题: ForamDeepSlice: A High-Accuracy Deep Learning Framework for Foraminifera Species Classification from 2D Micro-CT Slices
链接: https://arxiv.org/abs/2512.00912
期刊: cs.LG updates on arXiv.org
标题: 无线多模态可穿戴设备上无需氧气流量使用Mamba深度学习方法的睡眠呼吸暂停检测
英文标题: Sleep Apnea Detection on a Wireless Multimodal Wearable Device Without Oxygen Flow Using a Mamba-based Deep Learning Approach
链接: https://arxiv.org/abs/2512.00989
期刊: cs.LG updates on arXiv.org
标题: 优化中风风险预测:结合ROS平衡集成和可解释人工智能的机器学习管道
英文标题: Optimizing Stroke Risk Prediction: A Machine Learning Pipeline Combining ROS-Balanced Ensembles and XAI
链接: https://arxiv.org/abs/2512.01333
期刊: cs.LG updates on arXiv.org
标题: hls4ml:一个适用于可重构硬件的灵活、开源深度学习加速平台
英文标题: hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware
链接: https://arxiv.org/abs/2512.01463
期刊: cs.LG updates on arXiv.org
标题: 一种鲁棒且可泛化的设备无关深度学习模型,用于从三轴腕部加速度计确定睡眠-觉醒状态
英文标题: A robust generalizable device-agnostic deep learning model for sleep-wake determination from triaxial wrist accelerometry
链接: https://arxiv.org/abs/2512.01986
期刊: cs.LG updates on arXiv.org
标题: LCEN:一种非线性、可解释的特征选择和机器学习算法
英文标题: LCEN: A Nonlinear, Interpretable Feature Selection and Machine Learning Algorithm
链接: https://arxiv.org/abs/2402.17120
期刊: cs.LG updates on arXiv.org
标题: 考古实践中机器学习应用:综述
英文标题: Machine learning applications in archaeological practices: a review
链接: https://arxiv.org/abs/2501.03840
期刊: cs.LG updates on arXiv.org
标题: 鲁棒的在模式可变性下合成表格数据的检测
英文标题: Robust Detection of Synthetic Tabular Data under Schema Variability
链接: https://arxiv.org/abs/2509.00092
期刊: cs.LG updates on arXiv.org
标题: 比较生存分析中机器学习算法的方法
英文标题: Methodology for Comparing Machine Learning Algorithms for Survival Analysis
链接: https://arxiv.org/abs/2510.24473
期刊: cs.LG updates on arXiv.org
标题: 语义优势与法医效率的比较分析:用于商业电子邮件欺诈检测的深度学习与心理语言学的对比
英文标题: Semantic Superiority vs. Forensic Efficiency: A Comparative Analysis of Deep Learning and Psycholinguistics for Business Email Compromise Detection
链接: https://arxiv.org/abs/2511.20944
期刊: cs.LG updates on arXiv.org
标题: 深度学习增强的交流最优潮流的直流近似的可微优化
英文标题: Differentiable Optimization for Deep Learning-Enhanced DC Approximation of AC Optimal Power Flow
链接: https://arxiv.org/abs/2504.01970
期刊: cs.LG updates on arXiv.org
标题: SCOPE-MRI:以Bankart损伤检测为例,在数据整理和深度学习应用于复杂诊断中的案例研究
英文标题: SCOPE-MRI: Bankart Lesion Detection as a Case Study in Data Curation and Deep Learning for Challenging Diagnoses
链接: https://arxiv.org/abs/2504.20405
期刊: cs.LG updates on arXiv.org
标题: 机器学习时间传播器用于时变密度泛函理论模拟
英文标题: Machine Learning Time Propagators for Time-Dependent Density Functional Theory Simulations
链接: https://arxiv.org/abs/2508.16554
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
英文标题: Benchmarking machine learning models for multi-class state recognition in double quantum dot data
链接: https://arxiv.org/abs/2511.22451
