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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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TitleStatusHype
Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscienceCode0
From Explanations to Segmentation: Using Explainable AI for Image Segmentation—0
Causal Explanations and XAI—0
Feature Visualization within an Automated Design Assessment leveraging Explainable Artificial Intelligence Methods—0
Classification of White Blood Cell Leukemia with Low Number of Interpretable and Explainable FeaturesCode0
Diagnosing AI Explanation Methods with Folk Concepts of Behavior—0
Visualizing the Diversity of Representations Learned by Bayesian Neural Networks—0
An Explainable Artificial Intelligence Framework for Quality-Aware IoE Service Delivery—0
Explainability in Music Recommender SystemsCode0
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI—0
Improving Deep Neural Network Classification Confidence using Heatmap-based eXplainable AICode0
Towards a Shapley Value Graph Framework for Medical peer-influence—0
Towards Relatable Explainable AI with the Perceptual Process—0
Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes?—0
Towards Understanding Human Functional Brain Development with Explainable Artificial Intelligence: Challenges and Perspectives—0
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review—0
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions—0
Interpretable Data-Based Explanations for Fairness Debugging—0
Learning Interpretable Models Through Multi-Objective Neural Architecture SearchCode0
Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP)—0
A Complete Characterisation of ReLU-Invariant Distributions—0
Evaluating saliency methods on artificial data with different background typesCode0
Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges—0
On Two XAI Cultures: A Case Study of Non-technical Explanations in Deployed AI System—0
Explainable Deep Image Classifiers for Skin Lesion Diagnosis—0
Towards Safe, Explainable, and Regulated Autonomous Driving—0
A Deep Generative XAI Framework for Natural Language Inference Explanations Generation—0
Scrutinizing XAI using linear ground-truth data with suppressor variablesCode0
A Practical guide on Explainable AI Techniques applied on Biomedical use case applications—0
Explainable AI for Psychological Profiling from Digital Footprints: A Case Study of Big Five Personality Predictions from Spending Data—0
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities—0
Characterizing Human Explanation Strategies to Inform the Design of Explainable AI for Building Damage Assessment—0
Exploring Explainable AI in the Financial Sector: Perspectives of Banks and Supervisory Authorities—0
Instructive artificial intelligence (AI) for human training, assistance, and explainabilityCode0
An Investigation of the Impact of COVID-19 Non-Pharmaceutical Interventions and Economic Support Policies on Foreign Exchange Markets with Explainable AI Techniques—0
Explainable Artificial Intelligence for Smart City Application: A Secure and Trusted Platform—0
ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AICode0
Human-Centered Explainable AI (XAI): From Algorithms to User Experiences—0
Automated Quality Control of Vacuum Insulated Glazing by Convolutional Neural Network Image Classification—0
Tree-based local explanations of machine learning model predictions, AraucanaXAI—0
A Field Guide to Scientific XAI: Transparent and Interpretable Deep Learning for Bioinformatics Research—0
Explanation as a process: user-centric construction of multi-level and multi-modal explanations—0
Classification of Viral Pneumonia X-ray Images with the Aucmedi Framework—0
Making Things Explainable vs Explaining: Requirements and Challenges under the GDPR—0
Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to InterfacesCode0
Natural language understanding for logical gamesCode0
Advancing Nearest Neighbor Explanation-by-Example with Critical Classification Regions—0
Truth Table Deep Convolutional Neural Network, A New SAT-Encodable Architecture - Application To Complete Robustness—0
Hermitry Ratio: Evaluating the validity of perturbation methods for explainable deep learning—0
Towards Human-Understandable Visual Explanations: Human Imperceptible Cues Can Better Be Removed—0
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