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A Practical Tutorial on Explainable AI Techniques
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Explainable artificial intelligence: an analytical review
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Neural Networks and Deep Learning
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Property-Based Testing for Parameter Learning of Probabilistic Graphical Models
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Human-in-the-Loop Integration with Domain-Knowledge Graphs for Explainable Federated Deep Learning
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Credit Risk Scoring Using a Data Fusion Approach
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Asymptotic Combinatorics with Application to Mathematical Physics
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Explainable artificial intelligence: a comprehensive review
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Companies Committed to Responsible AI: From Principles towards Implementation and Regulation?
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A systematic review of Explainable Artificial Intelligence models and applications: Recent developments and future trends
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Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
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Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
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On generating trustworthy counterfactual explanations
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Responsible and human centric AI-based insurance advisors
inferredcites →https://doi.org/10.1016/j.ipm.2023.103276openalex-snapshot
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A quantitative approach for the comparison of additive local explanation methods
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Classification by ordinal sums of conjunctive and disjunctive functions for explainable AI and interpretable machine learning solutions
inferredcites →https://doi.org/10.1016/j.knosys.2022.109947openalex-snapshot
Greybox XAI: A Neural-Symbolic learning framework to produce interpretable predictions for image classification
inferredcites →https://doi.org/10.1016/j.patcog.2016.11.008openalex-snapshot
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Pruning by explaining: A novel criterion for deep neural network pruning
inferredcites →https://doi.org/10.1038/s41467-019-08987-4openalex-snapshot
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Toward a Shared Vision for Cancer Genomic Data
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A TAXONOMY OF STRATEGIES FOR MULTIMODAL PERSUASIVE MESSAGE GENERATION
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LIII. On lines and planes of closest fit to systems of points in space
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The Unified Medical Language System (UMLS): integrating biomedical terminology
inferredcites →https://doi.org/10.1108/03684920410534506openalex-snapshot
Information Theory, Inference, and Learning Algorithms
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2019.01103openalex-snapshot
Explainability Methods for Graph Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cybersa49311.2020.9139655openalex-snapshot
Explainable AI in Healthcare
inferredcites →https://doi.org/10.1109/iccv.2017.74openalex-snapshot
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
inferredcites →https://doi.org/10.1109/mc.2022.3212091openalex-snapshot
Trustworthy Artificial Intelligence Requirements in the Autonomous Driving Domain
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Generating Physically-Consistent Satellite Imagery for Climate Visualizations
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Higher-Order Explanations of Graph Neural Networks via Relevant Walks
inferredcites →https://doi.org/10.1136/bmjhci-2021-100459openalex-snapshot
Conceptualising fairness: three pillars for medical algorithms and health equity
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3320435openalex-snapshot
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization
inferredcites →https://doi.org/10.1145/3351095.3372850openalex-snapshot
Explaining machine learning classifiers through diverse counterfactual explanations
inferredcites →https://doi.org/10.1177/107769905303000401openalex-snapshot
“Cloze Procedure”: A New Tool for Measuring Readability
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17. A Value for n-Person Games
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inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
SMOTE: Synthetic Minority Over-sampling Technique
inferredcites →https://doi.org/10.18653/v1/2020.aacl-main.46openalex-snapshot
A Survey of the State of Explainable AI for Natural Language Processing
inferredcites →https://doi.org/10.18653/v1/n18-1101openalex-snapshot
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
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Deep Contextualized Word Representations
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Learning Interpretable Negation Rules via Weak Supervision at Document Level: A Reinforcement Learning Approach
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
inferredcites →https://doi.org/10.18653/v1/p18-1208openalex-snapshot
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Explaining Recurrent Neural Network Predictions in Sentiment Analysis
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The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
inferredcites →https://doi.org/10.3115/v1/p15-1055openalex-snapshot
Learning to Explain Entity Relationships in Knowledge Graphs
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Measurable Counterfactual Local Explanations for Any Classifier
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Chapter 16. Discovering Visual Concepts and Rules in Convolutional Neural Networks
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Neuro-Symbolic Artificial Intelligence: The State of the Art
inferredcites →https://doi.org/10.3233/nai-240729openalex-snapshot
A neurosymbolic approach to AI alignment
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Cognitive neuroscience of human counterfactual reasoning
inferredcites →https://doi.org/10.3389/frai.2020.00026openalex-snapshot
Explainable AI in Fintech Risk Management
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Human-Centered Artificial Intelligence for Designing Accessible Cultural Heritage
inferredcites →https://doi.org/10.3390/electronics12163407openalex-snapshot
Digital Face Manipulation Creation and Detection: A Systematic Review
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Machine Learning Interpretability: A Survey on Methods and Metrics
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Actionable Explainable AI (AxAI): A Practical Example with Aggregation Functions for Adaptive Classification and Textual Explanations for Interpretable Machine Learning
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inferredcites →https://doi.org/10.48550/arxiv.1606.04422openalex-snapshot
Logic Tensor Networks: Deep Learning and Logical Reasoning from Data and Knowledge
inferredcites →https://doi.org/10.48550/arxiv.1606.05386openalex-snapshot
Model-Agnostic Interpretability of Machine Learning
inferredcites →https://doi.org/10.48550/arxiv.1609.02907openalex-snapshot
Semi-Supervised Classification with Graph Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.1611.08191openalex-snapshot
Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation
inferredcites →https://doi.org/10.48550/arxiv.1703.01365openalex-snapshot
Axiomatic Attribution for Deep Networks
inferredcites →https://doi.org/10.48550/arxiv.1802.03426openalex-snapshot
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
inferredcites →https://doi.org/10.48550/arxiv.1802.03888openalex-snapshot
Consistent Individualized Feature Attribution for Tree Ensembles
inferredcites →https://doi.org/10.48550/arxiv.1810.03292openalex-snapshot
Sanity Checks for Saliency Maps
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GNNExplainer: Generating Explanations for Graph Neural Networks
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Saliency is a Possible Red Herring When Diagnosing Poor Generalization
inferredcites →https://doi.org/10.48550/arxiv.1910.07969openalex-snapshot
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.2005.07503openalex-snapshot
COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter
inferredcites →https://doi.org/10.48550/arxiv.2009.07896openalex-snapshot
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GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks
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How to Explain Individual Classification Decisions
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Large Language Models for Explainable Medical Text Summarization: A Systematic Literature Review
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Reframing responsible GenAI as ethical fit: integrating human collaboration, trust and dynamic capabilities for sustainable business performance
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Requirements Driven Explainable Artificial Intelligence Framework for Secure and Transparent Clinical Decision Support Systems
inferred← citeshttps://doi.org/10.1109/compas67506.2025.11381890openalex-snapshot
Enhancing Intrusion Detection in Cyber-Physical Systems: A Hybrid Graph Neural Network and Explainable AI Approach for Classification
inferred← citeshttps://doi.org/10.1109/emergin63207.2024.10961081openalex-snapshot
Building Trust and Transparency in AI: A Review of Explainable AI and its Ethical Implications
inferred← citeshttps://doi.org/10.1109/icicnct66124.2025.11232625openalex-snapshot
Internet of Ai Things (Ioat): a Novel Paradigm for the Edge-Iot Ecosystem
inferred← citeshttps://doi.org/10.1109/icitr69413.2025.11353547openalex-snapshot
A Hybrid XAI-LLM Approach for Generating Explainable Feedback in an Intelligent Technical Interview Simulator
inferred← citeshttps://doi.org/10.1109/iraset64571.2025.11008310openalex-snapshot
FEX-IDS: A Federated Learning-Based Explainable Intrusion Detection System for IoT Security
inferred← citeshttps://doi.org/10.1109/isetc63109.2024.10797264openalex-snapshot
Fostering Trust in AI-Driven Healthcare: A Brief Review of Ethical and Practical Considerations
inferred← citeshttps://doi.org/10.1109/jproc.2025.3635153openalex-snapshot
A Comprehensive Survey on Self-Interpretable Neural Networks
inferred← citeshttps://doi.org/10.1109/menacomm69507.2026.11532874openalex-snapshot
Explainable Kidney Stone Detection from CT Scans: Integrating Grad-CAM with YOLO Model
inferred← citeshttps://doi.org/10.1109/tnsre.2026.3651949openalex-snapshot
Artificial Intelligence and Wearable Technologies for Upper Limb Neurorehabilitation
inferred← citeshttps://doi.org/10.1109/tpami.2026.3651260openalex-snapshot
Neuron Abandoning Attention Flow: Visual Explanation of Dynamics Inside CNN Models
inferred← citeshttps://doi.org/10.1111/exsy.13403openalex-snapshot
Evaluating significant features in context‐aware multimodal emotion recognition with XAI methods
inferred← citeshttps://doi.org/10.1111/exsy.70213openalex-snapshot
A Review of TRiSM Frameworks in Artificial Intelligence Systems: Fundamentals, Taxonomy, Use Cases, Key Challenges and Future Directions
inferred← citeshttps://doi.org/10.1126/sciadv.adx4082openalex-snapshot
Understanding generative AI output with embedding models
inferred← citeshttps://doi.org/10.1145/3816420openalex-snapshot
Clinical XAI: A Tutorial on Concepts, Methods, and Modalities from Linear Models to LLMs
inferred← citeshttps://doi.org/10.1186/s40708-025-00274-xopenalex-snapshot
A gender-aware saliency prediction system for web interfaces using deep learning and eye-tracking data
inferred← citeshttps://doi.org/10.1371/journal.pone.0323689openalex-snapshot
Time-series visual representations for sleep stages classification
inferred← citeshttps://doi.org/10.17010/pijom/2026/v19i8/175099openalex-snapshot
Strengthening Algorithmic Safety Through Responsible and Explainable AI : A Conceptual Framework
inferred← citeshttps://doi.org/10.2196/66831openalex-snapshot
Applications of AI in Predicting Drug Responses for Type 2 Diabetes
inferred← citeshttps://doi.org/10.22541/au.167407909.97031004/v1openalex-snapshot
Evaluating Significant Features in Context-Aware Multimodal Emotion Recognition with XAI Methods
inferred← citeshttps://doi.org/10.25300/misq/2025/19111openalex-snapshot
Regulating AI: Lessons From Scientific Computing
inferred← citeshttps://doi.org/10.3389/fdgth.2025.1727707openalex-snapshot
Merging multimodal digital biomarkers into “Digital Neuro Fingerprints” for precision neurology in dementias: the promise of the right treatment for the right patient at the right time in the age of AI
inferred← citeshttps://doi.org/10.3389/feduc.2025.1595209openalex-snapshot
Explainability in machine learning: a pedagogical perspective
inferred← citeshttps://doi.org/10.3390/app14199107openalex-snapshot
Thermal Runaway Diagnosis of Lithium-Ion Cells Using Data-Driven Method
inferred← citeshttps://doi.org/10.3390/app16146863openalex-snapshot
Multi-Agent Systems for Decentralized Control and Management of Active Power Grid Peripheries: A Systematic Review
inferred← citeshttps://doi.org/10.3390/buildings15173133openalex-snapshot
Integrating Shapley Value and Least Core Attribution for Robust Explainable AI in Rent Prediction
inferred← citeshttps://doi.org/10.3390/electronics14244853openalex-snapshot
Artificial Intelligence as the Next Frontier in Cyber Defense: Opportunities and Risks
inferred← citeshttps://doi.org/10.3390/foods15040665openalex-snapshot
Estimating Fibrosity Scores of Plant-Based Meat Products from Images: A Deep Neural Network Approach
inferred← citeshttps://doi.org/10.3390/make8010006openalex-snapshot
Research Frontiers in Machine Learning & Knowledge Extraction
inferred← citeshttps://doi.org/10.3390/pediatric18030070openalex-snapshot
Artificial Intelligence in Pediatric Cardiology: Present Applications and Future Directions
inferred← citeshttps://doi.org/10.55056/ceur-ws.org/vol-3917/paper57.pdfopenalex-snapshot
Method for neural network cyberbullying detection in text content with visual analytic
inferred← citeshttps://doi.org/10.56726/irjmets60971openalex-snapshot
The Role of Explainable AI in Enhancing Threat Intelligence Analysis in Cybersecurity Operations
inferred← citeshttps://doi.org/10.7203/metode.15.30514openalex-snapshot
La inteligencia artificial explicable y su papel clave en la educación
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