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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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Showing 651–700 of 1041 papers

TitleStatusHype
Financial Fraud Detection Using Explainable AI and Stacking Ensemble Methods—0
Finding Words Associated with DIF: Predicting Differential Item Functioning using LLMs and Explainable AI—0
Fixing confirmation bias in feature attribution methods via semantic match—0
Focal Cortical Dysplasia Type II Detection Using Cross Modality Transfer Learning and Grad-CAM in 3D-CNNs for MRI Analysis—0
ForestMonkey: Toolkit for Reasoning with AI-based Defect Detection and Classification Models—0
Formal Explanations for Neuro-Symbolic AI—0
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI—0
Formally Explaining Neural Networks within Reactive Systems—0
Forma mentis networks predict creativity ratings of short texts via interpretable artificial intelligence in human and GPT-simulated raters—0
Forms of Understanding of XAI-Explanations—0
Found in Translation: semantic approaches for enhancing AI interpretability in face verification—0
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI—0
From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring—0
From Clustering to Cluster Explanations via Neural Networks—0
From Correlation to Causation: Formalizing Interpretable Machine Learning as a Statistical Process—0
From Data to Commonsense Reasoning: The Use of Large Language Models for Explainable AI—0
From Explanations to Segmentation: Using Explainable AI for Image Segmentation—0
From Interpretable Filters to Predictions of Convolutional Neural Networks with Explainable Artificial Intelligence—0
From Pixels to Words: Leveraging Explainability in Face Recognition through Interactive Natural Language Processing—0
From Robustness to Explainability and Back Again—0
From SHAP Scores to Feature Importance Scores—0
From slides (through tiles) to pixels: an explainability framework for weakly supervised models in pre-clinical pathology—0
From What Ifs to Insights: Counterfactuals in Causal Inference vs. Explainable AI—0
GENEOnet: Statistical analysis supporting explainability and trustworthiness—0
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification—0
Generating robust counterfactual explanations—0
Geometric Remove-and-Retrain (GOAR): Coordinate-Invariant eXplainable AI Assessment—0
GHOST at SemEval-2021 Task 5: Is explanation all you need?—0
GLIME: A new graphical methodology for interpretable model-agnostic explanations—0
Global Lightning-Ignited Wildfires Prediction and Climate Change Projections based on Explainable Machine Learning Models—0
GNN-XAR: A Graph Neural Network for Explainable Activity Recognition in Smart Homes—0
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning—0
Good Counterfactuals and Where to Find Them: A Case-Based Technique for Generating Counterfactuals for Explainable AI (XAI)—0
Gradient Backpropagation based Feature Attribution to Enable Explainable-AI on the Edge—0
GraphIX: Graph-based In silico XAI(explainable artificial intelligence) for drug repositioning from biopharmaceutical network—0
Grounding Explainability Within the Context of Global South in XAI—0
Guarding the Gate: ConceptGuard Battles Concept-Level Backdoors in Concept Bottleneck Models—0
Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future—0
Hardware Acceleration of Explainable Artificial Intelligence—0
Harnessing value from data science in business: ensuring explainability and fairness of solutions—0
HaT5: Hate Language Identification using Text-to-Text Transfer Transformer—0
Hate and Toxic Speech Detection in the Context of Covid-19 Pandemic using XAI: Ongoing Applied Research—0
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction—0
Hermitry Ratio: Evaluating the validity of perturbation methods for explainable deep learning—0
Hierarchical Variational Autoencoder for Visual Counterfactuals—0
Towards Explainable Neural-Symbolic Visual Reasoning—0
How a minimal learning agent can infer the existence of unobserved variables in a complex environment—0
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations—0
How Case Based Reasoning Explained Neural Networks: An XAI Survey of Post-Hoc Explanation-by-Example in ANN-CBR Twins—0
How Human-Centered Explainable AI Interface Are Designed and Evaluated: A Systematic Survey—0
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