2025-12-24-22_articles_updated

期刊: Computational biology and bioinformatics : nature.com subject feeds

标题: 基于深度学习的从微CT扫描中检测小鼠先天性心脏缺陷

英文标题: Deep learning-based detection of murine congenital heart defects from µCT scans

链接: https://www.nature.com/articles/s42003-025-09023-6

期刊: cs.LG updates on arXiv.org

标题: 比较评估可解释机器学习与线性回归在预测美国县级行政区肺癌死亡率中的应用

英文标题: Comparative Evaluation of Explainable Machine Learning Versus Linear Regression for Predicting County-Level Lung Cancer Mortality Rate in the United States

链接: https://arxiv.org/abs/2512.17934

期刊: cs.LG updates on arXiv.org

标题: 挑战者：何时新的数据来源足以证明切换机器学习模型？

英文标题: The Challenger: When Do New Data Sources Justify Switching Machine Learning Models?

链接: https://arxiv.org/abs/2512.18390

期刊: cs.LG updates on arXiv.org

标题: 使用机器学习预测短期干旱影响以支持缓解和适应努力的预测与预报

英文标题: Prediction and Forecast of Short-Term Drought Impacts Using Machine Learning to Support Mitigation and Adaptation Efforts

链接: https://arxiv.org/abs/2512.18522

期刊: cs.LG updates on arXiv.org

标题: 阿尔茨海默病的双模型深度学习预测

英文标题: Dual Model Deep Learning for Alzheimer Prognostication

链接: https://arxiv.org/abs/2512.19099

期刊: cs.LG updates on arXiv.org

标题: 基于操作符的深度学习泛化界限：多任务学习的见解

英文标题: Operator-Based Generalization Bound for Deep Learning: Insights on Multi-Task Learning

链接: https://arxiv.org/abs/2512.19184

期刊: cs.LG updates on arXiv.org

标题: 关于基于Koopman的多任务深度学习泛化界限

英文标题: On the Koopman-Based Generalization Bounds for Multi-Task Deep Learning

链接: https://arxiv.org/abs/2512.19199

期刊: cs.LG updates on arXiv.org

标题: 机器在学习量子机器学习时代的去学习：一项实证研究

英文标题: Machine Unlearning in the Era of Quantum Machine Learning: An Empirical Study

链接: https://arxiv.org/abs/2512.19253

期刊: cs.LG updates on arXiv.org

标题: 时间顶点机器学习在时间图信号中优化传感器放置：在结构健康监测中的应用

英文标题: Time-Vertex Machine Learning for Optimal Sensor Placement in Temporal Graph Signals: Applications in Structural Health Monitoring

链接: https://arxiv.org/abs/2512.19309

期刊: cs.LG updates on arXiv.org

标题: 实时嵌入式异常检测的机器学习

英文标题: Real-Time Machine Learning for Embedded Anomaly Detection

链接: https://arxiv.org/abs/2512.19383

期刊: cs.LG updates on arXiv.org

标题: 从授权政府供应商中学习：一种应用于墨西哥欺诈和腐败检测的机器学习和网络科学方法

英文标题: Learning from sanctioned government suppliers: A machine learning and network science approach to detecting fraud and corruption in Mexico

链接: https://arxiv.org/abs/2512.19491

期刊: cs.LG updates on arXiv.org

标题: 深度学习在无关联机器调度中的应用：处理可变维度

英文标题: Deep Learning for Unrelated-Machines Scheduling: Handling Variable Dimensions

链接: https://arxiv.org/abs/2512.19527

期刊: cs.LG updates on arXiv.org

标题: 基于机器学习和直觉模糊多标准决策的具有风险意识的财务预测

英文标题: Risk-Aware Financial Forecasting Enhanced by Machine Learning and Intuitionistic Fuzzy Multi-Criteria Decision-Making

链接: https://arxiv.org/abs/2512.17936

期刊: cs.LG updates on arXiv.org

标题: 长程静电在机器学习原子间势能中的应用比我们想象的要简单

英文标题: Long-range electrostatics for machine learning interatomic potentials is easier than we thought

链接: https://arxiv.org/abs/2512.18029

期刊: cs.LG updates on arXiv.org

标题: 深度学习技术自动镶嵌马赛克瓦片分割

英文标题: Automated Mosaic Tesserae Segmentation via Deep Learning Techniques

链接: https://arxiv.org/abs/2512.18406

期刊: cs.LG updates on arXiv.org

标题: medieval historical documents transcription中深度学习方法的应用

英文标题: Application of deep learning approaches for medieval historical documents transcription

链接: https://arxiv.org/abs/2512.18865

期刊: cs.LG updates on arXiv.org

标题: 通过尖端机器学习范式提升智能网络中的入侵检测和安全加固

英文标题: Elevating Intrusion Detection and Security Fortification in Intelligent Networks through Cutting-Edge Machine Learning Paradigms

链接: https://arxiv.org/abs/2512.19037

期刊: cs.LG updates on arXiv.org

标题: 高效嵌入式计算系统深度学习基础设施：全面综述与未来展望

英文标题: Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision

链接: https://arxiv.org/abs/2411.01431

期刊: cs.LG updates on arXiv.org

标题: BOOM：机器学习模型分布外分子属性预测的基准测试

英文标题: BOOM: Benchmarking Out-Of-distribution Molecular Property Predictions of Machine Learning Models

链接: https://arxiv.org/abs/2505.01912

期刊: cs.LG updates on arXiv.org

标题: 语义优势与法医效率：深度学习与心理语言学在商业邮件欺诈检测中的比较分析

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: 重新构建并改进CheXNet：用于胸部X光疾病分类的深度学习

英文标题: Reproducing and Improving CheXNet: Deep Learning for Chest X-ray Disease Classification

链接: https://arxiv.org/abs/2505.06646

期刊: cs.LG updates on arXiv.org

标题: 机器学习函数表达能力中的量子优势前景

英文标题: Prospects for quantum advantage in machine learning from the representability of functions

链接: https://arxiv.org/abs/2512.15661