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Explainable Artificial Intelligence (XAI)

Explainable Artificial Intelligence

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Showing 601–650 of 1041 papers

TitleStatusHype
OAK4XAI: Model towards Out-Of-Box eXplainable Artificial Intelligence for Digital Agriculture—0
Recipro-CAM: Fast gradient-free visual explanations for convolutional neural networksCode2
Towards Human-Compatible XAI: Explaining Data Differentials with Concept Induction over Background Knowledge—0
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classificationCode0
Enhancing Cluster Analysis With Explainable AI and Multidimensional Cluster PrototypesCode0
Learning Visual Explanations for DCNN-Based Image Classifiers Using an Attention MechanismCode0
Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data—0
Explainable Clustering via Exemplars: Complexity and Efficient Approximation Algorithms—0
Analyzing Machine Learning Models for Credit Scoring with Explainable AI and Optimizing Investment Decisions—0
RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations—0
Explainable AI for clinical and remote health applications: a survey on tabular and time series data—0
The Utility of Explainable AI in Ad Hoc Human-Machine TeamingCode0
Responsibility: An Example-based Explainable AI approach via Training Process Inspection—0
Regulating eXplainable Artificial Intelligence (XAI) May Harm Consumers—0
Explainable Artificial Intelligence to Detect Image Spam Using Convolutional Neural Network—0
From Black Boxes to Conversations: Incorporating XAI in a Conversational AgentCode1
Incremental Permutation Feature Importance (iPFI): Towards Online Explanations on Data Streams—0
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations—0
Identifying Dominant Industrial Sectors in Market States of the S&P 500 Financial Data—0
Explainable AI for tailored electricity consumption feedback -- an experimental evaluation of visualizations—0
Augmented cross-selling through explainable AI -- a case from energy retailing—0
SoK: Explainable Machine Learning for Computer Security ApplicationsCode0
Shapelet-Based Counterfactual Explanations for Multivariate Time SeriesCode0
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image RecognitionCode1
Causality-Inspired Taxonomy for Explainable Artificial Intelligence—0
SAFARI: Versatile and Efficient Evaluations for Robustness of InterpretabilityCode0
Carefully choose the baseline: Lessons learned from applying XAI attribution methods for regression tasks in geoscience—0
Explainable Reinforcement Learning on Financial Stock Trading using SHAP—0
Transcending XAI Algorithm Boundaries through End-User-Inspired Design—0
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain InjuryCode0
A Means-End Account of Explainable Artificial Intelligence—0
Multi-modal volumetric concept activation to explain detection and classification of metastatic prostate cancer on PSMA-PET/CTCode0
ferret: a Framework for Benchmarking Explainers on TransformersCode0
Diagnosis of Paratuberculosis in Histopathological Images Based on Explainable Artificial Intelligence and Deep Learning—0
From Interpretable Filters to Predictions of Convolutional Neural Networks with Explainable Artificial Intelligence—0
A general-purpose method for applying Explainable AI for Anomaly Detection—0
XAI based Performance Preserving Adaptive Image Compression for Efficient Satellite Communication—0
Explainable AI Algorithms for Vibration Data-based Fault Detection: Use Case-adadpted Methods and Critical EvaluationCode1
Alterfactual Explanations -- The Relevance of Irrelevance for Explaining AI Systems—0
Creating an Explainable Intrusion Detection System Using Self Organizing Maps—0
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities—0
BASED-XAI: Breaking Ablation Studies Down for Explainable Artificial IntelligenceCode1
From Correlation to Causation: Formalizing Interpretable Machine Learning as a Statistical Process—0
On Computing Relevant Features for Explaining NBCs—0
Explainable AI (XAI) in Biomedical Signal and Image Processing: Promises and Challenges—0
Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users—0
"Even if ..." -- Diverse Semifactual Explanations of RejectCode0
Explainability in Deep Reinforcement Learning, a Review into Current Methods and Applications—0
On Computing Probabilistic Explanations for Decision Trees—0
Explaining Any ML Model? -- On Goals and Capabilities of XAI—0
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