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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

Papers

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Showing 1001–1041 of 1041 papers

TitleStatusHype
Exploration of the Rashomon Set Assists Trustworthy Explanations for Medical DataCode0
TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLPCode0
Leveraging CAM Algorithms for Explaining Medical Semantic SegmentationCode0
midr: Learning from Black-Box Models by Maximum Interpretation DecompositionCode0
Enhancing Cluster Analysis With Explainable AI and Multidimensional Cluster PrototypesCode0
The Utility of Explainable AI in Ad Hoc Human-Machine TeamingCode0
Energy-based Model for Accurate Shapley Value Estimation in Interpretable Deep Learning Predictive ModelingCode0
SIM-Shapley: A Stable and Computationally Efficient Approach to Shapley Value ApproximationCode0
FaceX: Understanding Face Attribute Classifiers through Summary Model ExplanationsCode0
A Deep Dive into Perturbations as Evaluation Technique for Time Series XAICode0
This looks like what? Challenges and Future Research Directions for Part-Prototype ModelsCode0
False Sense of Security: Leveraging XAI to Analyze the Reasoning and True Performance of Context-less DGA ClassifiersCode0
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree EnsemblesCode0
LioNets: A Neural-Specific Local Interpretation Technique Exploiting Penultimate Layer InformationCode0
SoK: Explainable Machine Learning for Computer Security ApplicationsCode0
ferret: a Framework for Benchmarking Explainers on TransformersCode0
Few-Shot Multimodal Explanation for Visual Question AnsweringCode0
Space-scale Exploration of the Poor Reliability of Deep Learning Models: the Case of the Remote Sensing of Rooftop Photovoltaic SystemsCode0
Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate ScienceCode0
Local Explanations via Necessity and Sufficiency: Unifying Theory and PracticeCode0
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example GenerationCode0
XAI-ResUNet: Analysing the Impact of Pre-training in ResUNet Architectures for Multiple Sclerosis Lesion Segmentation using EigenGradCAMCode0
AS-XAI: Self-supervised Automatic Semantic Interpretation for CNNCode0
Foiling Explanations in Deep Neural NetworksCode0
For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAICode0
Enabling Explainable Fusion in Deep Learning with Fuzzy Integral Neural NetworksCode0
Locally-Minimal Probabilistic ExplanationsCode0
Assessing Fidelity in XAI post-hoc techniques: A Comparative Study with Ground Truth Explanations DatasetsCode0
Classification of White Blood Cell Leukemia with Low Number of Interpretable and Explainable FeaturesCode0
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition ModelsCode0
xAI-GAN: Enhancing Generative Adversarial Networks via Explainable AI SystemsCode0
Applying Genetic Programming to Improve Interpretability in Machine Learning ModelsCode0
Class-Dependent Perturbation Effects in Evaluating Time Series AttributionsCode0
ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AICode0
XAI-TRIS: Non-linear image benchmarks to quantify false positive post-hoc attribution of feature importanceCode0
Pruning by Explaining: A Novel Criterion for Deep Neural Network PruningCode0
PWSHAP: A Path-Wise Explanation Model for Targeted VariablesCode0
Study on the Helpfulness of Explainable Artificial IntelligenceCode0
A Novel Interaction-based Methodology Towards Explainable AI with Better Understanding of Pneumonia Chest X-ray ImagesCode0
From Flexibility to Manipulation: The Slippery Slope of XAI EvaluationCode0
Underwater SONAR Image Classification and Analysis using LIME-based Explainable Artificial IntelligenceCode0
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