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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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TitleStatusHype
How much informative is your XAI? A decision-making assessment task to objectively measure the goodness of explanations—0
How Reliable and Stable are Explanations of XAI Methods?—0
How should AI decisions be explained? Requirements for Explanations from the Perspective of European Law—0
How to choose an Explainability Method? Towards a Methodical Implementation of XAI in Practice—0
Human Attention-Guided Explainable Artificial Intelligence for Computer Vision Models—0
Human-Centered Explainable AI (XAI): From Algorithms to User Experiences—0
Human-centered XAI for Burn Depth Characterization—0
Human in the AI loop via xAI and Active Learning for Visual Inspection—0
Hypothesis Testing and Machine Learning: Interpreting Variable Effects in Deep Artificial Neural Networks using Cohen's f2—0
Identifying Dominant Industrial Sectors in Market States of the S&P 500 Financial Data—0
Identifying Student Profiles Within Online Judge Systems Using Explainable Artificial Intelligence—0
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques—0
ILLC: Iterative Layer-by-Layer Compression for Enhancing Structural Faithfulness in SpArX—0
Impact Of Explainable AI On Cognitive Load: Insights From An Empirical Study—0
Impact of Feature Encoding on Malware Classification Explainability—0
Implementing local-explainability in Gradient Boosting Trees: Feature Contribution—0
Improved Explainability of Capsule Networks: Relevance Path by Agreement—0
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning—0
Incentives to Offer Algorithmic Recourse—0
Incremental Permutation Feature Importance (iPFI): Towards Online Explanations on Data Streams—0
Info-CELS: Informative Saliency Map Guided Counterfactual Explanation—0
Information Importance-Aware Defense against Adversarial Attack for Automatic Modulation Classification:An XAI-Based Approach—0
Integrating Explainable AI for Effective Malware Detection in Encrypted Network Traffic—0
Integrating Intrinsic and Extrinsic Explainability: The Relevance of Understanding Neural Networks for Human-Robot Interaction—0
Integrating Prior Knowledge in Post-hoc Explanations—0
Intelligent Decision Assistance Versus Automated Decision-Making: Enhancing Knowledge Work Through Explainable Artificial Intelligence—0
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations—0
Interaction Design for Explainable AI: Workshop Proceedings—0
Interactive dense pixel visualizations for time series and model attribution explanations—0
Interactive Explanations by Conflict Resolution via Argumentative Exchanges—0
Internet of Behavior (IoB) and Explainable AI Systems for Influencing IoT Behavior—0
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review—0
Interpretability of an Interaction Network for identifying H bb jets—0
Interpretable and Secure Trajectory Optimization for UAV-Assisted Communication—0
Interpretable Data-Based Explanations for Fairness Debugging—0
Interpretable Medical Imagery Diagnosis with Self-Attentive Transformers: A Review of Explainable AI for Health Care—0
Interpretable pipelines with evolutionarily optimized modules for RL tasks with visual inputs—0
Interpreting Outliers in Time Series Data through Decoding Autoencoder—0
Introducing δ-XAI: a novel sensitivity-based method for local AI explanations—0
Investigating Explainability of Generative AI for Code through Scenario-based Design—0
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams—0
IsoEx: an explainable unsupervised approach to process event logs cyber investigation—0
Is Task-Agnostic Explainable AI a Myth?—0
It is not "accuracy vs. explainability" -- we need both for trustworthy AI systems—0
Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks—0
XAI Beyond Classification: Interpretable Neural Clustering—0
Knowledge-based XAI through CBR: There is more to explanations than models can tell—0
Knowledge-intensive Language Understanding for Explainable AI—0
LAXARY: A Trustworthy Explainable Twitter Analysis Model for Post-Traumatic Stress Disorder Assessment—0
Learning impartial policies for sequential counterfactual explanations using Deep Reinforcement Learning—0
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