Machine learning and knowledge extraction : 4th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2020, Dublin, Ireland, August 25-2...
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- Titel
- Machine learning and knowledge extraction 4th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2020, Dublin, Ireland, August 25-28, 2020, Proceedings
- verantwortlich
- ; ; ; ;
- Schriftenreihe
- Lecture notes in computer science ; ; 12279
- veröffentlicht
- Erscheinungsjahr
- 2020
- Teil von
- Lecture notes in computer science ; ; 12279.
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- LNCS sublibrary.
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- E-Book
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- British National Bibliography
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Inhaltsangabe:
- Explainable Artificial Intelligence: concepts, applications, research challenges and visions
- The Explanation Game: Explaining Machine Learning Models Using Shapley Values
- Back to the Feature: a Neural-Symbolic Perspective on Explainable AI
- Explain Graph Neural Networks to Understand Weighted Graph Features in Node Classification
- Explainable Reinforcement Learning: A Survey
- A Projected Stochastic Gradient algorithm for estimating Shapley Value applied in attribute importance
- Explaining predictive models with mixed features using Shapley values and conditional inference trees
- Explainable Deep Learning for Fault Prognostics in Complex Systems: A Particle Accelerator Use-Case
- eXDiL: A Tool for Classifying and eXplaining Hospital Discharge Letters
- Data Understanding and Interpretation by the Cooperation of Data Analyst and Medical Expert
- A study on the fusion of pixels and patient metadata in CNN-based classification of skin lesion images
- The European legal framework for medical AI
- An Efficient Method for Mining Informative Association Rules in Knowledge Extraction
- Interpretation of SVM using Data Mining Technique to Extract Syllogistic Rules
- Non-Local Second-Order Attention Network For Single Image Super Resolution
- ML-ModelExplorer: An explorative model-agnostic approach to evaluate and compare multi-class classifiers
- Subverting Network Intrusion Detection: Crafting Adversarial Examples Accounting for Domain-Specific Constraints
- Scenario-based Requirements Elicitation for User-Centric Explainable AI A Case in Fraud Detection
- On-the-fly Black-Box Probably Approximately Correct Checking of Recurrent Neural Networks
- Active Learning for Auditory Hierarchy
- Improving short text classification through global augmentation methods
- Interpretable Topic Extraction and Word Embedding Learning using row-stochastic DEDICOM
- A Clustering Backed Deep Learning Approach for Document Layout Analysis
- Calibrating Human-AI Co llaboration: Impact of Risk, Ambiguity and Transparency on Algorithmic Bias
- Applying AI in Practice: Key Challenges and Lessons Learned
- Function Space Pooling For Graph Convolutional Networks
- Analysis of optical brain signals using connectivity graph networks
- Property-Based Testing for Parameter Learning of Probabilistic Graphical Models
- An Ensemble Interpretable Machine Learning Scheme for Securing Data Quality at the Edge
- Inter-Space Machine Learning in Smart Environments.