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Machine Learning and Knowledge Extraction

Machine Learning and Knowledge Extraction

中文名称：机器学习与知识提取

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发文量：79

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1.Property Checking with Interpretable Error Characterization for Recurrent Neural Networks

机译：具有复发性神经网络的可解释错误特征的财产检查
- 作者：Mayr Franz;Yovine Sergio;Visca Ramiro
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2021年第1期
- recurrent neural networksprobably approximately correct learningblack-box explainability;
2.Robust Learning with Implicit Residual Networks

机译：具有隐式残差网络的强大学习
- 作者：Reshniak Viktor;Webster Clayton G.
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2021年第1期
- ResNetstabilityrobust;
3.Automatic Feature Selection for Improved Interpretability on Whole Slide Imaging

机译：自动特征选择，可提高整个幻灯片成像的解释性
- 作者：Pirovano Antoine;Heuberger Hippolyte;Berlemont Sylvain;Ladjal Sa?d;Bloch Isabelle
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2021年第1期
- histopathologyWSI classificationexplainabilityinterpretabilityheat-maps;
4.A Combined Short Time Fourier Transform and Image Classification Transformer Model for Rolling Element Bearings Fault Diagnosis in Electric Motors

机译：电动机滚动元件轴承故障诊断的组合短时间傅立叶变换和图像分类变压器模型
- 作者：Alexakos Christos T.;Karnavas Yannis L.;Drakaki Maria;Tziafettas Ioannis A.
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2021年第1期
- bearing faultconvolutional neural networkelectric motorsshort time fourier transformimage classification transformerfault diagnosis;
5.Interpretable Topic Extraction and Word Embedding Learning Using Non-Negative Tensor DEDICOM

机译：使用非负张量Dedicom的可解释主题提取和词嵌入学习
- 作者：Hillebrand Lars;Biesner David;Bauckhage Christian;Sifa Rafet
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2021年第1期
- matrix factorizationtensor factorizationword embeddingstopic modelingNLP;
6.Understand Daily Fire Suppression Resource Ordering and Assignment Patterns by Unsupervised Learning

机译：通过无监督的学习了解每日消防资源排序和分配模式
- 作者：Wei Yu;Thompson Matthew P.;Belval Erin J.;Calkin David E.;Bayham Jude
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2021年第1期
- wildland firesuppressionprinciple component analysisassociation rule analysis;
7.From the Digital Data Revolution toward a Digital Society: Pervasiveness of Artificial Intelligence

机译：从数字数据革命到数字社会：人工智能普及
- 作者：Emmert-Streib Frank
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2021年第1期
- artificial intelligencemachine learningdata sciencesocial datanatural language processingindustry 4.0ethical AI;
8.Leaving No Stone Unturned: Flexible Retrieval of Idiomatic Expressions from a Large Text Corpus

机译：留下没有石头，从大型文本语料库中灵活地检索惯用的表达式
- 作者：Hughes Callum;Filimonov Maxim;Wray Alison;Spasi? Irena
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2021年第1期
- information retrievalnatural language processingcorpus linguisticsmulti-word expressionsidioms;
9.Learning DOM Trees of Web Pages by Subpath Kernel and Detecting Fake e-Commerce Sites

机译：通过subpath内核学习网页的DOM树，并检测假电子商务网站
- 作者：Shin Kilho;Ishikawa Taichi;Liu Yu-Lu;Shepard David Lawrence
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2021年第1期
- fake site detectionkernel methodweb security;
10.AI System Engineering—Key Challenges and Lessons Learned

机译：AI系统的工程 - 重点挑战和经验教训
- 作者：Fischer Lukas;Ehrlinger Lisa;Geist Verena;Ramler Rudolf;Sobiezky Florian;Zellinger Werner;Brunner David;Kumar Mohit;Moser Bernhard
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2021年第1期
- AI system engineeringdeep learningembedded AIfederated learningtransfer learninghuman centered AI;
11.Rumor Detection Based on SAGNN: Simplified Aggregation Graph Neural Networks

机译：基于SAGNN的谣言检测：简化的聚合图神经网络
- 作者：Zhang Liang;Li Jingqun;Zhou Bin;Jia Yan
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2021年第1期
- rumor detectiongraph neural networkartificial intelligence;
12.Explainable AI Framework for Multivariate Hydrochemical Time Series

机译：解释了多变量水化时间序列的AI框架
- 作者：Thrun Michael C.;Ultsch Alfred;Breuer Lutz
- 期刊名称：《Machine Learning and Knowledge Extraction》 | 2021年第1期
- explainable AIcluster analysisstructures in datamachine learning systemhigh-dimensional data visualizationdecision trees;

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