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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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TitleStatusHype
Pitfalls of Explainable ML: An Industry Perspective—0
Can Explainable AI Explain Unfairness? A Framework for Evaluating Explainable AI—0
An Interaction-based Convolutional Neural Network (ICNN) Towards Better Understanding of COVID-19 X-ray ImagesCode0
Explaining the Deep Natural Language Processing by Mining Textual Interpretable Features—0
Brittle AI, Causal Confusion, and Bad Mental Models: Challenges and Successes in the XAI Program—0
Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems—0
Explainable Artificial Intelligence (XAI) for Increasing User Trust in Deep Reinforcement Learning Driven Autonomous Systems—0
Revealing drivers and risks for power grid frequency stability with explainable AICode0
Explainability via Interactivity? Supporting Nonexperts' Sensemaking of Pretrained CNN by Interacting with Their Daily Surroundings—0
A unified logical framework for explanations in classifier systems—0
Do not explain without context: addressing the blind spot of model explanations—0
Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI—0
Argumentative XAI: A Survey—0
Evaluating the Correctness of Explainable AI Algorithms for Classification—0
Explainable Activity Recognition for Smart Home Systems—0
Designer-User Communication for XAI: An epistemological approach to discuss XAI design—0
Abstraction, Validation, and Generalization for Explainable Artificial Intelligence—0
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts—0
XAI Handbook: Towards a Unified Framework for Explainable AI—0
XAI-KG: knowledge graph to support XAI and decision-making in manufacturing—0
Where and When: Space-Time Attention for Audio-Visual Explanations—0
Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation—0
Exploiting Explanations for Model Inversion Attacks—0
TrustyAI Explainability ToolkitCode0
Explainable AI For COVID-19 CT Classifiers: An Initial Comparison Study—0
Explainable Artificial Intelligence Reveals Novel Insight into Tumor Microenvironment Conditions Linked with Better Prognosis in Patients with Breast Cancer—0
Tracking Peaceful Tractors on Social Media -- XAI-enabled analysis of Red Fort Riots 2021—0
XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision TreesCode0
A Novel Interaction-based Methodology Towards Explainable AI with Better Understanding of Pneumonia Chest X-ray ImagesCode0
DA-DGCEx: Ensuring Validity of Deep Guided Counterfactual Explanations With Distribution-Aware Autoencoder Loss—0
Towards Human-Understandable Visual Explanations:Imperceptible High-frequency Cues Can Better Be Removed—0
Enabling Machine Learning Algorithms for Credit Scoring -- Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models—0
On the Computational Intelligibility of Boolean Classifiers—0
LioNets: A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer InformationCode0
Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML—0
Question-Driven Design Process for Explainable AI User Experiences—0
Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future—0
Towards a Rigorous Evaluation of Explainability for Multivariate Time Series—0
Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing—0
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey—0
Semantic XAI for contextualized demand forecasting explanations—0
Local Explanations via Necessity and Sufficiency: Unifying Theory and PracticeCode0
Explaining the Road Not Taken—0
Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target PredictionCode0
Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals—0
A Comparative Approach to Explainable Artificial Intelligence Methods in Application to High-Dimensional Electronic Health Records: Examining the Usability of XAI—0
Explainable AI in Credit Risk Management—0
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques—0
Shapley values for feature selection: The good, the bad, and the axioms—0
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research—0
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