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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

Papers

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Showing 401–450 of 1041 papers

TitleStatusHype
ForestMonkey: Toolkit for Reasoning with AI-based Defect Detection and Classification Models—0
The Impact of Imperfect XAI on Human-AI Decision-Making—0
Towards Bridging the FL Performance-Explainability Trade-Off: A Trustworthy 6G RAN Slicing Use-Case—0
eXplainable Artificial Intelligence (XAI) in aging clock models—0
TbExplain: A Text-based Explanation Method for Scene Classification Models with the Statistical Prediction Correction—0
What's meant by explainable model: A Scoping Review—0
Explanation-Guided Fair Federated Learning for Transparent 6G RAN Slicing—0
Towards eXplainable AI for Mobility Data Science—0
Explaining and visualizing black-box models through counterfactual pathsCode0
Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model—0
Visual Explanations with Attributions and Counterfactuals on Time Series Classification—0
Looking deeper into interpretable deep learning in neuroimaging: a comprehensive survey—0
On the Connection between Game-Theoretic Feature Attributions and Counterfactual Explanations—0
Is Task-Agnostic Explainable AI a Myth?—0
A Deep Dive into Perturbations as Evaluation Technique for Time Series XAICode0
Impact of Feature Encoding on Malware Classification Explainability—0
False Sense of Security: Leveraging XAI to Analyze the Reasoning and True Performance of Context-less DGA ClassifiersCode0
Designing a Direct Feedback Loop between Humans and Convolutional Neural Networks through Local ExplanationsCode0
On Formal Feature Attribution and Its ApproximationCode0
Interpretable and Secure Trajectory Optimization for UAV-Assisted Communication—0
Human in the AI loop via xAI and Active Learning for Visual Inspection—0
Fixing confirmation bias in feature attribution methods via semantic match—0
Towards Explainable AI for Channel Estimation in Wireless Communications—0
CLIMAX: An exploration of Classifier-Based Contrastive ExplanationsCode0
The future of human-centric eXplainable Artificial Intelligence (XAI) is not post-hoc explanations—0
Delivering Inflated ExplanationsCode0
xAI-CycleGAN, a Cycle-Consistent Generative Assistive Network—0
Classification and Explanation of Distributed Denial-of-Service (DDoS) Attack Detection using Machine Learning and Shapley Additive Explanation (SHAP) Methods—0
Explainability is NOT a Game—0
PWSHAP: A Path-Wise Explanation Model for Targeted VariablesCode0
Manipulation Risks in Explainable AI: The Implications of the Disagreement Problem—0
Are Good Explainers Secretly Human-in-the-Loop Active Learners?—0
Evolutionary approaches to explainable machine learning—0
XAI-TRIS: Non-linear image benchmarks to quantify false positive post-hoc attribution of feature importanceCode0
Evaluation of Popular XAI Applied to Clinical Prediction Models: Can They be Trusted?—0
Benchmark data to study the influence of pre-training on explanation performance in MR image classification—0
Detection of Sensor-To-Sensor Variations using Explainable AI—0
Process Knowledge-infused Learning for Clinician-friendly Explanations—0
Towards Interpretability in Audio and Visual Affective Machine Learning: A Review—0
Explaining Explainability: Towards Deeper Actionable Insights into Deep Learning through Second-order Explainability—0
For Better or Worse: The Impact of Counterfactual Explanations' Directionality on User Behavior in xAICode0
iPDP: On Partial Dependence Plots in Dynamic Modeling ScenariosCode0
Active Globally Explainable Learning for Medical Images via Class Association Embedding and Cyclic Adversarial Generation—0
Strategies to exploit XAI to improve classification systems—0
Explainable Predictive Maintenance—0
Dear XAI Community, We Need to Talk! Fundamental Misconceptions in Current XAI Research—0
IsoEx: an explainable unsupervised approach to process event logs cyber investigation—0
Quantitative Analysis of Primary Attribution Explainable Artificial Intelligence Methods for Remote Sensing Image ClassificationCode0
Explainable AI using expressive Boolean formulas—0
Scalable Concept Extraction in Industry 4.0—0
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