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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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Showing 951–1000 of 1041 papers

TitleStatusHype
Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation—0
A Survey of the State of Explainable AI for Natural Language Processing—0
Explaining AI as an Exploratory Process: The Peircean Abduction Model—0
The design and implementation of Language Learning Chatbot with XAI using Ontology and Transfer Learning—0
Explainable AI without Interpretable Model—0
Ensembles of Convolutional Neural Networks models for pediatric pneumonia diagnosis—0
Measure Utility, Gain Trust: Practical Advice for XAI Researcher—0
What Do You See? Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors—0
Local Post-Hoc Explanations for Predictive Process Monitoring in Manufacturing—0
Better Model Selection with a new Definition of Feature Importance—0
Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations—0
An Argumentation-based Approach for Explaining Goal Selection in Intelligent Agents—0
Argumentation-based Agents that Explain their Decisions—0
Play MNIST For Me! User Studies on the Effects of Post-Hoc, Example-Based Explanations & Error Rates on Debugging a Deep Learning, Black-Box Classifier—0
Quantifying Explainability of Saliency Methods in Deep Neural Networks with a Synthetic DatasetCode0
Machine Reasoning Explainability—0
Mediating Community-AI Interaction through Situated Explanation: The Case of AI-Led Moderation—0
Explainability in Deep Reinforcement Learning—0
Survey of XAI in digital pathology—0
ExplAIn: Explanatory Artificial Intelligence for Diabetic Retinopathy Diagnosis—0
Explainable Artificial Intelligence Based Fault Diagnosis and Insight Harvesting for Steel Plates Manufacturing—0
Safety design concepts for statistical machine learning components toward accordance with functional safety standards—0
Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks—0
Locality Guided Neural Networks for Explainable Artificial Intelligence—0
The Clever Hans Effect in Anomaly Detection—0
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey—0
Explainable Artificial Intelligence: a Systematic Review—0
Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI)—0
Automated Copper Alloy Grain Size Evaluation Using a Deep-learning CNN—0
Applying Genetic Programming to Improve Interpretability in Machine Learning ModelsCode0
Explainable Reinforcement Learning: A Survey—0
Pruning coupled with learning, ensembles of minimal neural networks, and future of XAI—0
Visualisation and knowledge discovery from interpretable models—0
Post-hoc explanation of black-box classifiers using confident itemsets—0
A multi-component framework for the analysis and design of explainable artificial intelligence—0
Explainable Goal-Driven Agents and Robots -- A Comprehensive Review—0
LAXARY: A Trustworthy Explainable Twitter Analysis Model for Post-Traumatic Stress Disorder Assessment—0
Vector symbolic architectures for context-free grammars—0
Understanding the Prediction Mechanism of Sentiments by XAI Visualization—0
A Study on Multimodal and Interactive Explanations for Visual Question Answering—0
What Emotions Make One or Five Stars? Understanding Ratings of Online Product Reviews by Sentiment Analysis and XAI—0
xAI-GAN: Enhancing Generative Adversarial Networks via Explainable AI SystemsCode0
The Pragmatic Turn in Explainable Artificial Intelligence (XAI)—0
Leveraging Rationales to Improve Human Task Performance—0
Towards explainable meta-learning—0
Explainable Active Learning (XAL): An Empirical Study of How Local Explanations Impact Annotator Experience—0
Proxy Tasks and Subjective Measures Can Be Misleading in Evaluating Explainable AI Systems—0
Questioning the AI: Informing Design Practices for Explainable AI User Experiences—0
Measuring the Quality of Explanations: The System Causability Scale (SCS). Comparing Human and Machine Explanations—0
Pruning by Explaining: A Novel Criterion for Deep Neural Network PruningCode0
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