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期刊详情
Machine Learning
IF
2.9
论文数
2691
被引数
34031
相关解读
0
订阅
期刊论文
2691
相关解读
0
期刊论文
2691
发表时间
发表时间
IF
被引数
FedXAI: Federated Medical Imaging with Intrinsic Explainability and Differentially Private Explanation Auditing
FedXAI:具有固有可解释性和差分隐私解释审计的联邦医学影像
Machine Learning
IF
2.9
2026-10-27
0
PRE
AI
Mohammad Amanour Rahman
分享
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Optimizing AlphaPose with Dual Non-Local Attention for Real-Time Unsafe Behavior Detection in Mining Environments
优化AlphaPose的双非局部注意力机制以实现矿山环境中的实时不安全行为检测
Machine Learning
IF
2.9
2026-10-26
0
PRE
AI
Weidong Li; Huiyong Xie; Zhenying Li; Daijun Zhang; Shuai Wang
分享
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Weighted UnLearning from Experience for Improved Spurious Correlation Robustness
基于经验的可遗忘加权学习以提高伪相关鲁棒性
Machine Learning
IF
2.9
2026-10-20
0
OA
AI
Jeff Mitchell; Jesus Martinez-del-Rincon; Niall McLaughlin
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Beyond Likelihood Ratio Bias: Nested Multi-time Scale Stochastic Approximation for Likelihood-Free Parameter Estimation
超越似然比偏差:嵌套多时间尺度随机逼近用于无似然参数估计
Machine Learning
IF
2.9
2026-10-17
0
PRE
AI
Zehao Li; Zhouchen Lin; Yijie Peng
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The Challenges of Hyperparameter Tuning for Accurate Causal Effect Estimation
准确因果效应估计中超参数调优的挑战
Machine Learning
IF
2.9
2026-10-16
0
OA
AI
Damian Machlanski; Spyridon Samothrakis; Paul Clarke
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Product Manifold Flow Matching for Mixed-Type Tabular Data Generation
混合类型表格数据生成中的乘积流匹配
Machine Learning
IF
2.9
2026-10-14
0
PRE
AI
Shikun Chen; Yangguang Liu
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RLAX: A Reinforcement Learning-Based Framework for Explaining Anomalous Data
RLAX:一种基于强化学习的异常数据解释框架
Machine Learning
IF
2.9
2026-10-13
0
OA
AI
Simone Amirato; Fabrizio Angiulli; Fabio Fassetti
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Addressing Methodological Challenges in Time Series Anomaly Detection
时序异常检测中的方法论挑战研究
Machine Learning
IF
2.9
2026-10-13
0
OA
AI
Nancy Xu; Henrik Boström
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MMT: Achieving Exact Federated Unlearning with Improved Post-unlearning Performance
MMT:实现精确的联邦遗忘并提升后遗忘性能
Machine Learning
IF
2.9
2026-10-12
0
PRE
AI
Ze Yu Zhang; Nhung Bui; Arun Verma; Bolin Ding; Bryan Kian Hsiang Low
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A Survey on Loss-based Regularization for Model Generalization
基于损失的模型泛化正则化方法综述
Machine Learning
IF
2.9
2026-10-10
0
PRE
AI
Yaxing Huang; Chenhe Zhang; Renjun Xu; Qinghai Zhang
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KARAMEL: Knowledge-Aware Ranking for Multimodal Entity Linking in the Arts via Heterogeneous Graphs
KARAMEL:基于异构图的艺术领域多模态实体链接知识感知排序
Machine Learning
IF
2.9
2026-10-10
0
PRE
AI
Raffaele Scaringi; Alejandro Sierra-Múnera; Gennaro Vessio; Giovanna Castellano; Ralf Krestel
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Grid-based Decision Tree Learning
基于网格的决策树学习
Machine Learning
IF
2.9
2026-10-08
0
PRE
AI
Qin-Cheng Zheng; Shao-Qun Zhang; Shen-Huan Lyu; Yuan Jiang; Zhi-Hua Zhou
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On Kernel Eigen-Alignments of KRR: Reconstruction and Generalization
核岭回归的核特征对齐:重建与泛化
Machine Learning
IF
2.9
2026-10-07
0
OA
AI
Yang Liu; Ernest Fokoue; Richard Lange; Daniel Krutz
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SURGE: Structural Perturbation Response Field Guided Residual Distillation for Graph Unlearning
SURGE:基于结构扰动响应场引导的残差蒸馏的图遗忘方法
Machine Learning
IF
2.9
2026-10-07
0
PRE
AI
Chaofan Shen; Mingyu Wang; Jing Zhang
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TACCO: Actor–Critic Contrastive Optimization for OOD Action Mitigation in Offline Reinforcement Learning
TACCO:用于离线强化学习中OOD动作缓解的演员-评论家对比优化
Machine Learning
IF
2.9
2026-10-07
0
PRE
AI
Haotian Zhang; Chen Wang; Jun Moon
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Large Language Model Guided Series Saliency Module for Accurate and Interpretable Multivariate Time Series Forecasting
大语言模型引导的系列显著性模块,用于准确且可解释的多变量时间序列预测
Machine Learning
IF
2.9
2026-10-07
0
PRE
AI
Qingyi Pan; Liyuan Wang; Xiaoyu Chen; Ning Chen
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Knockoff-Guided Compressive Sensing: A Statistical Machine Learning Framework for Support-Assured Signal Recovery
Knockoff引导压缩感知:一种支持保障信号恢复的统计机器学习框架
Machine Learning
IF
2.9
2026-10-07
0
PRE
AI
Xiaochen Zhang; Haoyi Xiong
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Beyond Lipschitz: generalization and optimization analysis for adversarial training under Hölder-type conditions
超越利普希茨:在赫尔德型条件下对抗训练的泛化与优化分析
Machine Learning
IF
2.9
2026-10-07
0
PRE
AI
Hailiang Ye; Ziqi An; Feilong Cao
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FedHybrid-ViT: A Federated-Hybrid Framework for Generalizable Deepfake Detection on Heterogeneous Data
FedHybrid-ViT:一种用于异构数据通用深度伪造检测的联邦-混合框架
Machine Learning
IF
2.9
2026-10-07
0
PRE
AI
Abdullah Mohammad Sakib; Md. Mohashin Hossain; Mahedy Hasan Foysal; A. K. M. Muzahidul Islam; Ishtiak Al Mamoon
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Differentially Private Stochastic Gradient Descent for Outcome Weighted Learning
差分隐私随机梯度下降用于结果加权学习
Machine Learning
IF
2.9
2026-09-28
0
OA
AI
Aoli Yang; Jun Fan; Yunwen Lei; Dao-Hong Xiang
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