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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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Showing 851–900 of 1041 papers

TitleStatusHype
Biomarker Investigation using Multiple Brain Measures from MRI through XAI in Alzheimer's Disease Classification—0
Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphs—0
Bridging Human Concepts and Computer Vision for Explainable Face Verification—0
Brittle AI, Causal Confusion, and Bad Mental Models: Challenges and Successes in the XAI Program—0
BSED: Baseline Shapley-Based Explainable Detector—0
CAManim: Animating end-to-end network activation maps—0
Can "consciousness" be observed from large language model (LLM) internal states? Dissecting LLM representations obtained from Theory of Mind test with Integrated Information Theory and Span Representation analysis—0
Can Explainable AI Explain Unfairness? A Framework for Evaluating Explainable AI—0
Can Requirements Engineering Support Explainable Artificial Intelligence? Towards a User-Centric Approach for Explainability Requirements—0
Can We Trust Explainable AI Methods on ASR? An Evaluation on Phoneme Recognition—0
Carefully choose the baseline: Lessons learned from applying XAI attribution methods for regression tasks in geoscience—0
Case-based Explainability for Random Forest: Prototypes, Critics, Counter-factuals and Semi-factuals—0
CAT: Concept-level backdoor ATtacks for Concept Bottleneck Models—0
Categorical Foundations of Explainable AI: A Unifying Theory—0
Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability—0
Causal Dependence Plots—0
Causal Explanations and XAI—0
CGEMs: A Metric Model for Automatic Code Generation using GPT-3—0
Challenges and Opportunities in Text Generation Explainability—0
Challenges in Applying Explainability Methods to Improve the Fairness of NLP Models—0
Characterizing Human Explanation Strategies to Inform the Design of Explainable AI for Building Damage Assessment—0
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI—0
Clash of the Explainers: Argumentation for Context-Appropriate Explanations—0
Classification and Explanation of Distributed Denial-of-Service (DDoS) Attack Detection using Machine Learning and Shapley Additive Explanation (SHAP) Methods—0
Classification of Viral Pneumonia X-ray Images with the Aucmedi Framework—0
Cognitive Perspectives on Context-based Decisions and Explanations—0
Combining Counterfactuals With Shapley Values To Explain Image Models—0
A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME—0
Comparative Analysis of Hyperspectral Image Reconstruction Using Deep Learning for Agricultural and Biological Applications—0
Concept-Attention Whitening for Interpretable Skin Lesion Diagnosis—0
Concept Embedding Analysis: A Review—0
Concept Induction using LLMs: a user experiment for assessment—0
Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI—0
Context-dependent Explainability and Contestability for Trustworthy Medical Artificial Intelligence: Misclassification Identification of Morbidity Recognition Models in Preterm Infants—0
Contextual Trust—0
Convolutional Neural Network Interpretability with General Pattern Theory—0
Correlation between morphological evolution of splashing drop and exerted impact force revealed by interpretation of explainable artificial intelligence—0
Counterfactual Explanations of Black-box Machine Learning Models using Causal Discovery with Applications to Credit Rating—0
Creating an Explainable Intrusion Detection System Using Self Organizing Maps—0
Crowdsourcing Evaluation of Saliency-based XAI Methods—0
Crown-CAM: Interpretable Visual Explanations for Tree Crown Detection in Aerial Images—0
DA-DGCEx: Ensuring Validity of Deep Guided Counterfactual Explanations With Distribution-Aware Autoencoder Loss—0
Data Representing Ground-Truth Explanations to Evaluate XAI Methods—0
Dataset | Mindset = Explainable AI | Interpretable AI—0
Deep Argumentative Explanations—0
Dear XAI Community, We Need to Talk! Fundamental Misconceptions in Current XAI Research—0
Deciphering AutoML Ensembles: cattleia's Assistance in Decision-Making—0
Deciphering knee osteoarthritis diagnostic features with explainable artificial intelligence: A systematic review—0
Deep Learning Reproducibility and Explainable AI (XAI)—0
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma—0
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