2025-11-26-27_articles_updated
Published:
期刊: Nature
标题: 眼微生物组:不止于眼见之处
英文标题: The ocular microbiome: more than meets the eye
链接: https://www.nature.com/articles/d41586-025-03872-1
期刊: Nature Communications
标题: 通过反应预测和多维度优化加速药物发现中的先导化合物筛选进程
英文标题: Expediting hit-to-lead progression in drug discovery through reaction prediction and multi-dimensional optimization
链接: https://www.nature.com/articles/s41467-025-66324-4
期刊: Nature Aging
标题: 抗-uPAR CAR T细胞逆转并预防与衰老相关的肠道再生和健康缺陷
英文标题: Anti-uPAR CAR T cells reverse and prevent aging-associated defects in intestinal regeneration and fitness
链接: https://www.nature.com/articles/s43587-025-01022-w
期刊: Computational biology and bioinformatics : nature.com subject feeds
标题: 通过实验参数感知的深度学习实现单分子定位显微镜的一键重建
英文标题: One-click reconstruction in single-molecule localization microscopy via experimental parameter-aware deep learning
链接: https://www.nature.com/articles/s44303-025-00123-w
期刊: cs.LG updates on arXiv.org
标题: 实用机器学习在失语症话语分析中的应用
英文标题: Practical Machine Learning for Aphasic Discourse Analysis
链接: https://arxiv.org/abs/2511.17553
期刊: cs.LG updates on arXiv.org
标题: SHAP距离:一种用于评估合成表格数据语义保真度的可解释性感知度量
英文标题: SHAP Distance: An Explainability-Aware Metric for Evaluating the Semantic Fidelity of Synthetic Tabular Data
链接: https://arxiv.org/abs/2511.17590
期刊: cs.LG updates on arXiv.org
标题: 基于Copula的融合临床和基因组机器学习风险评分以进行乳腺癌风险分层
英文标题: Copula Based Fusion of Clinical and Genomic Machine Learning Risk Scores for Breast Cancer Risk Stratification
链接: https://arxiv.org/abs/2511.17605
期刊: cs.LG updates on arXiv.org
标题: QML-HCS:一种用于非平稳环境的超因果量子机器学习框架
英文标题: QML-HCS: A Hypercausal Quantum Machine Learning Framework for Non-Stationary Environments
链接: https://arxiv.org/abs/2511.17624
期刊: cs.LG updates on arXiv.org
标题: 自适应正态预测在量子机器学习中的应用
英文标题: Adaptive Conformal Prediction for Quantum Machine Learning
链接: https://arxiv.org/abs/2511.18225
期刊: cs.LG updates on arXiv.org
标题: TRIDENT:一种用于药物和RNA调控的细胞形态合成三模态级联生成框架
英文标题: TRIDENT: A Trimodal Cascade Generative Framework for Drug and RNA-Conditioned Cellular Morphology Synthesis
链接: https://arxiv.org/abs/2511.18287
期刊: cs.LG updates on arXiv.org
标题: 类别等变深度学习:类别等变神经网络和万能逼近定理
英文标题: Categorical Equivariant Deep Learning: Category-Equivariant Neural Networks and Universal Approximation Theorems
链接: https://arxiv.org/abs/2511.18417
期刊: cs.LG updates on arXiv.org
标题: 动态市场行为预测的深度学习模型优化
英文标题: Optimization of Deep Learning Models for Dynamic Market Behavior Prediction
链接: https://arxiv.org/abs/2511.19090
期刊: cs.LG updates on arXiv.org
标题: 具有学习随机不确定性的涡轮风扇发动机剩余使用寿命预测的不确定性感知深度学习框架
英文标题: Uncertainty-Aware Deep Learning Framework for Remaining Useful Life Prediction in Turbofan Engines with Learned Aleatoric Uncertainty
链接: https://arxiv.org/abs/2511.19124
期刊: cs.LG updates on arXiv.org
标题: 解读GFlowNets在药物发现中的应用:为药物化学提取可操作见解
英文标题: Interpreting GFlowNets for Drug Discovery: Extracting Actionable Insights for Medicinal Chemistry
链接: https://arxiv.org/abs/2511.19264
期刊: cs.LG updates on arXiv.org
标题: 一个基于生态信息的深度学习框架,用于可解释和可验证的栖息地制图
英文标题: An Ecologically-Informed Deep Learning Framework for Interpretable and Validatable Habitat Mapping
链接: https://arxiv.org/abs/2511.17627
期刊: cs.LG updates on arXiv.org
标题: 连接哲学与机器学习:一种结构主义框架用于分类神经网络表示
英文标题: Bridging Philosophy and Machine Learning: A Structuralist Framework for Classifying Neural Network Representations
链接: https://arxiv.org/abs/2511.18633
期刊: cs.LG updates on arXiv.org
标题: 生物艺术中的多维度复杂性计算聚类:BioArtlas
英文标题: BioArtlas: Computational Clustering of Multi-Dimensional Complexity in Bioart
链接: https://arxiv.org/abs/2511.19162
期刊: cs.LG updates on arXiv.org
标题: SpectraNet:用于深度伪造人脸检测的FFT辅助深度学习分类器
英文标题: SpectraNet: FFT-assisted Deep Learning Classifier for Deepfake Face Detection
链接: https://arxiv.org/abs/2511.19187
期刊: cs.LG updates on arXiv.org
标题: VeML:适用于大规模和高维数据的端到端机器学习生命周期
英文标题: VeML: An End-to-End Machine Learning Lifecycle for Large-scale and High-dimensional Data
链接: https://arxiv.org/abs/2304.13037
期刊: cs.LG updates on arXiv.org
标题: 理解计算玻璃松弛?
英文标题: Is Grokking a Computational Glass Relaxation?
链接: https://arxiv.org/abs/2505.11411
期刊: cs.LG updates on arXiv.org
标题: 基于预测的生物医学时间序列数据合成,用于开放数据和鲁棒人工智能
英文标题: Forecasting-based Biomedical Time-series Data Synthesis for Open Data and Robust AI
链接: https://arxiv.org/abs/2510.04622
期刊: cs.LG updates on arXiv.org
标题: 基于深度学习的多变量时间序列分类的逆事实可解释人工智能(XAI)方法
英文标题: Counterfactual Explainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classification
链接: https://arxiv.org/abs/2511.13237
期刊: cs.LG updates on arXiv.org
标题: EVA-Net:通过从一类脑电图队列学习连续衰老原型来实现脑健康可解释异常检测
英文标题: EVA-Net: Interpretable Anomaly Detection for Brain Health via Learning Continuous Aging Prototypes from One-Class EEG Cohorts
链接: https://arxiv.org/abs/2511.15393
期刊: cs.LG updates on arXiv.org
标题: 蛋白质结构数学洞察:持续同伦与机器学习应用于鞭毛马达
英文标题: Mathematical Insights into Protein Architecture: Persistent Homology and Machine Learning Applied to the Flagellar Motor
链接: https://arxiv.org/abs/2504.16941
期刊: cs.LG updates on arXiv.org
标题: 评估集成天气和环境变量的深度学习模型用于野火蔓延预测及2023年毛伊岛火灾案例研究
英文标题: Assessment of deep learning models integrated with weather and environmental variables for wildfire spread prediction and a case study of the 2023 Maui fires
链接: https://arxiv.org/abs/2509.21327
期刊: cs.LG updates on arXiv.org
标题: 基于深度学习的完全耦合非马尔可夫FBSDEs方法及其应用
英文标题: A Deep Learning-Based Method for Fully Coupled Non-Markovian FBSDEs with Applications
链接: https://arxiv.org/abs/2511.08735
期刊: JAMA Network Open New Online
标题: 混合机器学习模型预测肺移植结果
英文标题: Hybrid Machine Learning Model to Predict Lung Transplant Outcomes
链接: https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2841822
