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IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction

召开年：2020
召开地：Dublin(IE)
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1.Preface

机译：前言
- 作者：Andreas Holzinger;Peter Kieseberg;Edgar Weippl;A Min Tjoa
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
2.Explainable Artificial Intelligence: Concepts, Applications, Research Challenges and Visions

机译：可解释的人工智能：概念，应用，研究挑战和愿景
- 作者：Luca Longo;Randy Goebel;Freddy Lecue;Peter Kieseberg;Andreas Holzinger
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Explainable artificial intelligence;
- Machine learning;
- Explainability;
3.The Explanation Game: Explaining Machine Learning Models Using Shapley Values

机译：解释游戏：使用Shapley值解释机器学习模型
- 作者：Luke Merrick;Ankur Taly
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
4.Back to the Feature: A Neural-Symbolic Perspective on Explainable AI

机译：返回功能：关于可解释AI的神经符号视角
- 作者：Andrea Campagner;Federico Cabitza
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Explainable AI;
- Symbolic machine learning;
- Deep Learning;
- Kandinsky Patterns;
5.Explain Graph Neural Networks to Understand Weighted Graph Features in Node Classification

机译：解释图神经网络以了解节点分类中的加权图特征
- 作者：Xiaoxiao Li;Joao Saude
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Explainability;
- Graph Neural Networks;
- Classification;
6.Explainable Reinforcement Learning: A Survey

机译：可解释的强化学习：一项调查
- 作者：Erika Puiutta;Eric M. S. P. Veith
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Machine learning;
- Explainable;
- Reinforcement Learning;
- Human-computer interaction;
- Interpretable;
7.A Projected Stochastic Gradient Algorithm for Estimating Shapley Value Applied in Attribute Importance

机译：用于估计属性值的Shapley值的投影随机梯度算法
- 作者：Grah Simon;Thouvenot Vincent
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Attribute importance;
- Interpretability;
- Shapley value;
- Monte Carlo;
- Projected stochastic gradient descent;
8.Explaining Predictive Models with Mixed Features Using Shapley Values and Conditional Inference Trees

机译：使用Shapley值和条件推理树解释具有混合特征的预测模型
- 作者：Annabelle Redelmeier;Martin Jullum;Kjersti Aas
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Explainable AI;
- Shapley values;
- Conditional inference trees;
- Feature dependence;
- Prediction explanation;
9.Explainable Deep Learning for Fault Prognostics in Complex Systems: A Particle Accelerator Use-Case

机译：可解释的深度学习，用于复杂系统中的故障预测：粒子加速器用例
- 作者：Lukas Felsberger;Andrea Apollonio;Thomas Cartier-Michaud;Andreas Mueller;Benjamin Todd;Dieter Kranzlmueller
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Prognostics and diagnostics;
- Explainable AI;
- Deep learning;
- Multivariate time series;
10.eXDiL: A Tool for Classifying and explaining Hospital Discharge Letters

机译：eXDiL：用于分类和解释医院出院信件的工具
- 作者：Fabio Mercorio;Mario Mezzanzanica;Andrea Seveso
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- explainable AI;
- Machine learning;
- Healthcare;
- Text classification;
11.Cooperation Between Data Analysts and Medical Experts: A Case Study

机译：数据分析师与医学专家之间的合作：一个案例研究
- 作者：Judita Rokosna;Frantisek Babic;Ljiljana Trtica Majnaric;Ludmila Pusztova
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Medical expert;
- Data analysts;
- Collaboration;
- Thyroid;
12.A Study on the Fusion of Pixels and Patient Metadata in CNN-Based Classification of Skin Lesion Images

机译：基于CNN的皮肤病变图像分类中像素与患者元数据的融合研究
- 作者：Fabrizio Nunnari;Chirag Bhuvaneshwara;Abraham Obinwanne Ezema;Daniel Sonntag
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Skin lesion classification;
- Convolutional neural network;
- Machine learning;
- Patient metadata;
- Data fusion;
13.The European Legal Framework for Medical AI

机译：欧洲医疗AI法律框架
- 作者：David Schneeberger;Karl Stoeger;Andreas Holzinger
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Anti-discrimination;
- EU legal framework;
- Explainability;
- Fundamental rights;
- GDPR;
- Human dignity;
- Human in the loop;
- Informed consent;
- Liability;
- Medical AI;
- Product approval;
- Right to explanation;
14.An Efficient Method for Mining Informative Association Rules in Knowledge Extraction

机译：知识提取中信息关联规则的有效挖掘方法
- 作者：Parfait Bemarisika;Andre Totohasina
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Knowledge Extraction;
- Minimal generators;
- Frequent closed itemsets;
- Maximal frequent itemsets;
- Informative basis of rules;
15.Interpretation of SVM Using Data Mining Technique to Extract Syllogistic Rules Exploring the Notion of Explainable AI in Diagnosing CAD

机译：使用数据挖掘技术的SVM解释提取三段论规则，探讨可解释AI在诊断CAD中的概念
- 作者：Sanjay Sekar Samuel;Nik Nailah Binti Abdullah;Anil Raj
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Explainable AI;
- Coronary Artery Disease;
- Support Vector Machine;
- Data mining;
- Medical expert;
- Artificial intelligence;
- Human-centered;
16.Non-local Second-Order Attention Network for Single Image Super Resolution

机译：用于单图像超分辨率的非本地二阶注意力网络
- 作者：Jiawen Lyn;Sen Yan
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Super resolution;
- Deep neural network;
- Deep learning;
17.ML-ModelExplorer: An Explorative Model-Agnostic Approach to Evaluate and Compare Multi-class Classifiers

机译：ML-ModelExplorer：一种与模型无关的探索性方法，用于评估和比较多类分类器
- 作者：Andreas Theissler;Simon Vollert;Patrick Benz;Laurentius A. Meerhoff;Marc Fernandes
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Multi-class classification;
- Model selection;
- Feature selection;
- Human-centered machine learning;
- Visual analytics;
18.Subverting Network Intrusion Detection: Crafting Adversarial Examples Accounting for Domain-Specific Constraints

机译：颠覆性网络入侵检测：针对特定领域约束制定对抗性示例
- 作者：Martin Teuffenbach;Ewa Piatkowska;Paul Smith
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Network intrusion detection;
- Deep neural networks;
- Adversarial examples;
- Adversarial robustness;
19.Scenario-Based Requirements Elicitation for User-Centric Explainable AI A Case in Fraud Detection

机译：以用户为中心的可解释AI的基于场景的需求启发-欺诈检测中的案例
- 作者：Douglas Cirqueira;Dietmar Nedbal;Markus Helfert;Marija Bezbradica
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Explainable artificial intelligence;
- Requirements elicitation;
- Domain expert;
- Fraud detection;
20.On-the-fly Black-Box Probably Approximately Correct Checking of Recurrent Neural Networks

机译：动态黑匣子可能近似正确地检查了递归神经网络
- 作者：Franz Mayr;Ramiro Visca;Sergio Yovine
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
21.Active Learning for Auditory Hierarchy

机译：积极学习听觉层次
- 作者：William Coleman;Charlie Cullen;Ming Yan;Sarah Jane Delany
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Active Learning;
- Auditory hierarchy;
- Machine Learning;
- Support Vector Machine;
22.Improving Short Text Classification Through Global Augmentation Methods

机译：通过全局增强方法改善短文本分类
- 作者：Vukosi Marivate;Tshephisho Sefara
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Natural Language Processing;
- Data augmentation;
- Deep Neural Networks;
- Text classification;
23.Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM

机译：使用行随机DEDICOM的可解释主题提取和词嵌入学习
- 作者：Lars Hillebrand;David Biesner;Christian Bauckhage;Rafet Sifa
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Word embeddings;
- Topic analysis;
- Matrix factorization;
- Natural language processing;
24.A Clustering Backed Deep Learning Approach for Document Layout Analysis

机译：用于文档布局分析的聚类支持深度学习方法
- 作者：Rhys Agombar;Max Luebbering;Rafet Sifa
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Document layout analysis;
- Faster R-CNN;
- DBSCAN;
- Post-processing;
- Bounding box refinement;
25.Calibrating Human-AI Collaboration: Impact of Risk, Ambiguity and Transparency on Algorithmic Bias

机译：校准人与人工智能的协作：风险，歧义度和透明度对算法偏差的影响
- 作者：Philipp Schmidt;Felix Biessmann
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Transparent AI;
- Machine learning;
- HCI;
- Risk affinity;
26.Applying AI in Practice: Key Challenges and Lessons Learned

机译：在实践中应用AI：主要挑战和经验教训
- 作者：Lukas Fischer;Lisa Ehrlinger;Verena Geist;Rudolf Ramler;Florian Sobieczky;Werner Zellinger;Bernhard Moser
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Machine learning systems;
- Data quality;
- Domain adaptation;
- Hybrid models;
- Software engineering;
- Embedded systems;
- Human centered AI;
27.Function Space Pooling for Graph Convolutional Networks

机译：图卷积网络的功能空间池
- 作者：Padraig Corcoran
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Graph neural network;
- Vertex pooling;
- Function space;
28.Analysis of Optical Brain Signals Using Connectivity Graph Networks

机译：使用连通图网络分析大脑光学信号
- 作者：Marco Antonio Pinto-Orellana;Hugo L. Hammer
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Brain signals;
- fNIRS;
- Graph network analysis;
- Connectivity analysis;
29.Property-Based Testing for Parameter Learning of Probabilistic Graphical Models

机译：基于属性的概率图形模型参数测试
- 作者：Anna Saranti;Behnam Taraghi;Martin Ebner;Andreas Holzinger
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Machine learning;
- Probabilistic graphical models;
- Property-based testing;
30.An Ensemble Interpretable Machine Learning Scheme for Securing Data Quality at the Edge

机译：集成的可解释机器学习方案，可确保边缘数据的质量
- 作者：Anna Karanika;Panagiotis Oikonomou;Kostas Kolomvatsos;Christos Anagnostopoulos
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Machine learning;
- Interpretable machine learning;
- Ensemble scheme;
- Features selection;
31.Inter-space Machine Learning in Smart Environments

机译：智能环境中的空间机器学习
- 作者：Amin Anjomshoaa;Edward Curry
- 会议名称：《IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction》 | 2020年
- Smart environment;
- Knowledge graph;
- Transfer learning;