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Explainable artificial intelligence: A survey

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-10590-1_53openalex-snapshot
Visualizing and Understanding Convolutional Networks
inferredcites →https://doi.org/10.1007/978-3-319-46493-0_1openalex-snapshot
Generating Visual Explanations
inferredcites →https://doi.org/10.1007/978-3-540-74958-5_39openalex-snapshot
Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble
inferredcites →https://doi.org/10.1007/s10115-013-0679-xopenalex-snapshot
Explaining prediction models and individual predictions with feature contributions
inferredcites →https://doi.org/10.1007/s10115-017-1116-3openalex-snapshot
Auditing Black-Box Models for Indirect Influence
inferredcites →https://doi.org/10.1016/j.bica.2015.09.003openalex-snapshot
Towards integrated neural–symbolic systems for human-level AI: Two research programs helping to bridge the gaps
inferredcites →https://doi.org/10.1016/j.dsp.2017.10.011openalex-snapshot
Methods for interpreting and understanding deep neural networks
inferredcites →https://doi.org/10.1016/j.dss.2010.12.003openalex-snapshot
An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models
inferredcites →https://doi.org/10.1016/j.dss.2011.01.013openalex-snapshot
Performance of classification models from a user perspective
inferredcites →https://doi.org/10.1016/j.ejor.2006.04.051openalex-snapshot
Comprehensible credit scoring models using rule extraction from support vector machines
inferredcites →https://doi.org/10.1016/j.ins.2012.10.039openalex-snapshot
Using sensitivity analysis and visualization techniques to open black box data mining models
inferredcites →https://doi.org/10.1016/j.ins.2013.03.038openalex-snapshot
An interpretable classification rule mining algorithm
inferredcites →https://doi.org/10.1016/j.patcog.2016.11.008openalex-snapshot
Explaining nonlinear classification decisions with deep Taylor decomposition
inferredcites →https://doi.org/10.1017/s0140525x16001837openalex-snapshot
Building machines that learn and think like people
inferredcites →https://doi.org/10.1038/540525aopenalex-snapshot
Study epidemiology of fake news
inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot
Deep learning
inferredcites →https://doi.org/10.1109/sp.2016.42openalex-snapshot
Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems
inferredcites →https://doi.org/10.1109/tsmcc.2008.919172openalex-snapshot
Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies
inferredcites →https://doi.org/10.1145/1046456.1046467openalex-snapshot
A critical review of multi-objective optimization in data mining
inferredcites →https://doi.org/10.1145/2566486.2568012openalex-snapshot
Exploring the filter bubble
inferredcites →https://doi.org/10.1145/2594473.2594475openalex-snapshot
Comprehensible classification models
inferredcites →https://doi.org/10.1145/2783258.2783407openalex-snapshot
Trading Interpretability for Accuracy
inferredcites →https://doi.org/10.1145/2939672.2939778openalex-snapshot
"Why Should I Trust You?"
inferredcites →https://doi.org/10.1145/2939672.2939874openalex-snapshot
Interpretable Decision Sets
inferredcites →https://doi.org/10.1145/3077257.3077260openalex-snapshot
Interpreting Black-Box Classifiers Using Instance-Level Visual Explanations
inferredcites →https://doi.org/10.1145/3144592.3144598openalex-snapshot
Why we should have seen that coming
inferredcites →https://doi.org/10.1145/3233231openalex-snapshot
The Mythos of Model Interpretability
inferredcites →https://doi.org/10.1214/11-aoas495openalex-snapshot
Prototype selection for interpretable classification
inferredcites →https://doi.org/10.1371/journal.pone.0130140openalex-snapshot
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
inferredcites →https://doi.org/10.18653/v1/n16-1082openalex-snapshot
Visualizing and Understanding Neural Models in NLP
inferredcites →https://doi.org/10.21314/jcr.2005.025openalex-snapshot
Linear and non-linear credit scoring by combining logistic regression and support vector machines
inferredcites →https://doi.org/10.3233/978-1-60750-754-3-11openalex-snapshot
User-oriented Assessment of Classification Model Understandability
inferredcites →https://doi.org/10.4230/oasics.dx.2024.27openalex-snapshot
On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Degradation Diagnosis (Short Paper)
inferredcites →https://doi.org/10.48550/arxiv.1312.6199openalex-snapshot
Intriguing properties of neural networks
inferredcites →https://doi.org/10.48550/arxiv.1502.03044openalex-snapshot
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
inferredcites →https://doi.org/10.48550/arxiv.1506.02078openalex-snapshot
Visualizing and Understanding Recurrent Networks
inferredcites →https://doi.org/10.48550/arxiv.1612.04757openalex-snapshot
Attentive Explanations: Justifying Decisions and Pointing to the Evidence
inferredcites →https://doi.org/10.48550/arxiv.1702.08608openalex-snapshot
Towards A Rigorous Science of Interpretable Machine Learning
inferredcites →https://doi.org/10.48550/arxiv.1704.02685openalex-snapshot
Learning Important Features Through Propagating Activation Differences
inferredcites →https://doi.org/10.48550/arxiv.1705.08564openalex-snapshot
Towards Interrogating Discriminative Machine Learning Models
inferredcites →https://doi.org/10.48550/arxiv.1708.05493openalex-snapshot
Towards Interpretable Deep Neural Networks by Leveraging Adversarial Examples
inferredcites →https://doi.org/10.48550/arxiv.1708.08296openalex-snapshot
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models
inferredcites →https://doi.org/10.48550/arxiv.1710.00794openalex-snapshot
What Does Explainable AI Really Mean? A New Conceptualization of Perspectives
inferredcites →https://doi.org/10.48550/arxiv.1711.03902openalex-snapshot
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation
inferredcites →https://doi.org/10.48550/arxiv.1801.00631openalex-snapshot
Deep Learning: A Critical Appraisal
inferredcites →https://doi.org/10.48550/arxiv.1801.01442openalex-snapshot
ObamaNet: Photo-realistic lip-sync from text

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application to Credit-Risk Evaluation
inferred← citeshttps://doi.org/10.2139/ssrn.4123459openalex-extracted
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inferred← citeshttps://doi.org/10.2139/ssrn.4482110openalex-extracted
Entri: Ensemble Learning with Tri-Level Representations for Explainable Scene Recognition
inferred← citeshttps://doi.org/10.2139/ssrn.4521967openalex-extracted
Modeling Inverse Demand Function with Explainable Dual Neural Networks
inferred← citeshttps://doi.org/10.2139/ssrn.4554234openalex-extracted
Assessing Deep Learning: A Work Program for the Humanities in the Age of Artificial Intelligence
inferred← citeshttps://doi.org/10.2139/ssrn.4640316openalex-extracted
Explainable Artificial Intelligence (XAI) Approaches for Transparency and Accountability in Financial Decision-Making
inferred← citeshttps://doi.org/10.2139/ssrn.4723587openalex-extracted
Explanations for Robust Decisions
inferred← citeshttps://doi.org/10.2139/ssrn.4833166openalex-extracted
inferred← citeshttps://doi.org/10.2139/ssrn.4898206openalex-extracted
A Transparency Paradox? Investigating the Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers
inferred← citeshttps://doi.org/10.2139/ssrn.5252622openalex-extracted
The Role of Explainable AI (XAI) in Building Trust and Understanding in AI-Driven Software Testing and Fintech Solutions Authors
inferred← citeshttps://doi.org/10.1002/9781119552482.ch1openalex-snapshot
The Complexity in Application of Modeling and Simulation for Cyber Physical Systems Engineering
inferred← citeshttps://doi.org/10.1002/9781119905202.ch4openalex-snapshot
The Need for XAI
inferred← citeshttps://doi.org/10.1002/9781394249312.ch25openalex-snapshot
Enlightened XAI
inferred← citeshttps://doi.org/10.1002/ail2.37openalex-snapshot
Abstraction, validation , and generalization for explainable artificial intelligence
inferred← citeshttps://doi.org/10.1002/ail2.64openalex-snapshot
Explainable artificial intelligence and social science: Further insights for qualitative investigation
inferred← citeshttps://doi.org/10.1002/aisy.202100054openalex-snapshot
A Marr's Three‐Level Analytical Framework for Neuromorphic Electronic Systems
inferred← citeshttps://doi.org/10.1002/eng2.13091openalex-snapshot
PD_EBM: An Integrated Boosting Approach Based on Selective Features for Unveiling Parkinson's Disease Diagnosis With Global and Local Explanations
inferred← citeshttps://doi.org/10.1002/essoar.10509791.2openalex-snapshot
Machine learning-based surrogate modelling for Urban Water Networks: Review and future research directions
inferred← citeshttps://doi.org/10.1002/hsr2.72151openalex-snapshot
Prediction of Five‐Year Mortality Risk of Chronic Kidney Disease Using Artificial Intelligence‐Based Models: A Retrospective Study
inferred← citeshttps://doi.org/10.1002/mp.15359openalex-snapshot
A review of explainable and interpretable AI with applications in COVID‐19 imaging
inferred← citeshttps://doi.org/10.1002/sres.2874openalex-snapshot
From ideas to entrepreneurial opportunity: A study on AI
inferred← citeshttps://doi.org/10.1002/widm.1495openalex-snapshot
DeepFixCX : Explainable privacy‐preserving image compression for medical image analysis
inferred← citeshttps://doi.org/10.1002/widm.1510openalex-snapshot
A survey on artificial intelligence in pulmonary imaging
inferred← citeshttps://doi.org/10.1002/widm.70002openalex-snapshot
Automated Detection of Neurological and Mental Health Disorders Using EEG Signals and Artificial Intelligence: A Systematic Review
inferred← citeshttps://doi.org/10.1007/978-1-0716-5050-9_26openalex-snapshot
RNA-Seq and XAI Can be Used as Tools to Aid Pathologists in the Process of Cancer Diagnosis
inferred← citeshttps://doi.org/10.1007/978-3-030-23528-4_25openalex-snapshot
How to Achieve Explainability and Transparency in Human AI Interaction
inferred← citeshttps://doi.org/10.1007/978-3-030-26601-1_12openalex-snapshot
A Pattern for Arguing the Assurance of Machine Learning in Medical Diagnosis Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-27005-6_11openalex-snapshot
Programmatic Link Grammar Induction for Unsupervised Language Learning
inferred← citeshttps://doi.org/10.1007/978-3-030-29145-7_5openalex-snapshot
Empowerment or Engagement? Digital Health Technologies for Mental Healthcare
inferred← citeshttps://doi.org/10.1007/978-3-030-30391-4_5openalex-snapshot
Conversational Interfaces for Explainable AI: A Human-Centred Approach
inferred← citeshttps://doi.org/10.1007/978-3-030-32236-6_51openalex-snapshot
Explainable AI: A Brief Survey on History, Research Areas, Approaches and Challenges
inferred← citeshttps://doi.org/10.1007/978-3-030-36691-9_1openalex-snapshot
A Practical Grafting Model Based Explainable AI for Predicting Corporate Financial Distress
inferred← citeshttps://doi.org/10.1007/978-3-030-45442-5_81openalex-snapshot
Incremental Approach for Automatic Generation of Domain-Specific Sentiment Lexicon
inferred← citeshttps://doi.org/10.1007/978-3-030-50334-5_4openalex-snapshot
Transparency and Trust in Human-AI-Interaction: The Role of Model-Agnostic Explanations in Computer Vision-Based Decision Support
inferred← citeshttps://doi.org/10.1007/978-3-030-50402-1_4openalex-snapshot
Survey of XAI in Digital Pathology
inferred← citeshttps://doi.org/10.1007/978-3-030-50423-6_46openalex-snapshot
Machine Learning – The Results Are Not the only Thing that Matters! What About Security, Explainability and Fairness?
inferred← citeshttps://doi.org/10.1007/978-3-030-50788-6_14openalex-snapshot
Knowledge-to-Information Translation Training (KITT): An Adaptive Approach to Explainable Artificial Intelligence
inferred← citeshttps://doi.org/10.1007/978-3-030-53036-5_10openalex-snapshot
Filtering Distributed Information to Build a Plausible Scene for Autonomous and Connected Vehicles
inferred← citeshttps://doi.org/10.1007/978-3-030-57321-8_18openalex-snapshot
Scenario-Based Requirements Elicitation for User-Centric Explainable AI
inferred← citeshttps://doi.org/10.1007/978-3-030-57321-8_25openalex-snapshot
Applying AI in Practice: Key Challenges and Lessons Learned
inferred← citeshttps://doi.org/10.1007/978-3-030-57321-8_5openalex-snapshot
Explainable Reinforcement Learning: A Survey
inferred← citeshttps://doi.org/10.1007/978-3-030-58342-2_13openalex-snapshot
A User-Centric Evaluation to Generate Case-Based Explanations Using Formal Concept Analysis
inferred← citeshttps://doi.org/10.1007/978-3-030-58356-9_4openalex-snapshot
Explainable Intelligent Environments
inferred← citeshttps://doi.org/10.1007/978-3-030-58666-9_1openalex-snapshot
Process Minding: Closing the Big Data Gap
inferred← citeshttps://doi.org/10.1007/978-3-030-62327-2_7openalex-snapshot
Semantic Artificial Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-030-63924-2_22openalex-snapshot
Understanding the Decision of Machine Learning Based Intrusion Detection Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-64949-4_2openalex-snapshot
Use of Visual Analytics (VA) in Explainable Artificial Intelligence (XAI): A Framework of Information Granules
inferred← citeshttps://doi.org/10.1007/978-3-030-65847-2_1openalex-snapshot
How to Induce Trust in Medical AI Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-67024-5_8openalex-snapshot
Setting Up Configuration Spaces and Experiments
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Explainable Artificial Intelligence. Model Discovery with Constraint Programming
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Towards Description of Block Model on Graph
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Toward a Cognitive Control Framework for Explainable Robotics
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From Contrastive to Abductive Explanations and Back Again
inferred← citeshttps://doi.org/10.1007/978-3-030-77857-6_18openalex-snapshot
Designing Ethical Agency for Adaptive Instructional Systems: The FATE of Learning and Assessment
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Trustworthy Explainability Acceptance: A New Metric to Measure the Trustworthiness of Interpretable AI Medical Diagnostic Systems
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Expectation: Personalized Explainable Artificial Intelligence for Decentralized Agents with Heterogeneous Knowledge
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Shallow2Deep: Restraining Neural Networks Opacity Through Neural Architecture Search
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Advances in XAI: Explanation Interfaces in Healthcare
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Towards Ontologically Explainable Classifiers
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Cognitive Internet of Things: Challenges and Solutions
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Computer Science
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Air Handling Unit Explainability Using Contextual Importance and Utility
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Explainable Artificial Intelligence in Genomic Sequence for Healthcare Systems Prediction
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An Articulated Learning Method Based on Optimization Approach for Gallbladder Segmentation from MRCP Images and an Effective IoT Based Recommendation Framework
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Materials in the Drive Chain – Modeling Materials for the Internet of Production
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A Methodological Framework for Facilitating Explainable AI Design
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AI and Decision Support
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Auditing and Testing AI – A Holistic Framework
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A Novel Human-Centred Evaluation Approach and an Argument-Based Method for Explainable Artificial Intelligence
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Detection Accuracy for Evaluating Compositional Explanations of Units
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Introduction to Explainable AI and Intelligent Transportation
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Trustworthy Machine Learning Approaches for Cyberattack Detection: A Review
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“The Responsibility of Engineers is Boundless” – Professional Reflections
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The Black-Box Syndrome: Embracing Randomness in Machine Learning Models
inferred← citeshttps://doi.org/10.1007/978-3-031-12807-3_3openalex-snapshot
An Overview of Explainable AI Methods, Forms and Frameworks
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Vibration Analysis for Rotatory Elements Wear Detection in Paper Mill Machine
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inferred← citeshttps://doi.org/10.1007/978-3-031-15565-9_5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-031-17995-2_30openalex-snapshot
Law Modeling for Fairness Requirements Elicitation in Artificial Intelligence Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-18292-1_1openalex-snapshot
Explainable Artificial Intelligence: Concepts and Current Progression
inferred← citeshttps://doi.org/10.1007/978-3-031-18292-1_2openalex-snapshot
Explainable Artificial Intelligence (XAI): Understanding and Future Perspectives
inferred← citeshttps://doi.org/10.1007/978-3-031-18292-1_3openalex-snapshot
Explainable Artificial Intelligence (XAI): Conception, Visualization and Assessment Approaches Towards Amenable XAI
inferred← citeshttps://doi.org/10.1007/978-3-031-18292-1_8openalex-snapshot
Explainable Data Fusion on Edge: Challenges and Opportunities
inferred← citeshttps://doi.org/10.1007/978-3-031-18461-1_25openalex-snapshot
To the Question of the Practical Implementation of “Digital Immortality” Technologies: New Approaches to the Creation of AI
inferred← citeshttps://doi.org/10.1007/978-3-031-19759-8_24openalex-snapshot
Formal Methods Meet Machine Learning (F3ML)
inferred← citeshttps://doi.org/10.1007/978-3-031-21203-1_32openalex-snapshot
Privacy-Aware Explanations for Team Formation
inferred← citeshttps://doi.org/10.1007/978-3-031-23492-7_8openalex-snapshot
Analysis and Detection of DDoS Backscatter Using NetFlow Data, Hyperband-Optimised Deep Learning and Explainability Techniques
inferred← citeshttps://doi.org/10.1007/978-3-031-24349-3_15openalex-snapshot
Mythical Ethical Principles for AI and How to Attain Them
inferred← citeshttps://doi.org/10.1007/978-3-031-24628-9_32openalex-snapshot
Interpretable Machine Learning forFinancial Applications
inferred← citeshttps://doi.org/10.1007/978-3-031-24628-9_41openalex-snapshot
Explainable Artificial Intelligence (XAI): Motivation, Terminology, and Taxonomy
inferred← citeshttps://doi.org/10.1007/978-3-031-24801-6_21openalex-snapshot
Television Programs Classification via Deep Learning Approach Using SSMI-CNN
inferred← citeshttps://doi.org/10.1007/978-3-031-27609-5_12openalex-snapshot
Explainable AI for Predictive Analytics on Employee Attrition
inferred← citeshttps://doi.org/10.1007/978-3-031-28993-4_26openalex-snapshot
Shadow Display Design Concepts for AI Enhanced Environments
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Automatically Adding to Artistic Cultures
inferred← citeshttps://doi.org/10.1007/978-3-031-30047-9_4openalex-snapshot
Data-Centric Perspective on Explainability Versus Performance Trade-Off
inferred← citeshttps://doi.org/10.1007/978-3-031-30387-6_8openalex-snapshot
Future Directions for RDF2vec
inferred← citeshttps://doi.org/10.1007/978-3-031-35891-3_14openalex-snapshot
How to Explain It to a Model Manager?
inferred← citeshttps://doi.org/10.1007/978-3-031-38036-5_2openalex-snapshot
Explainable Machine Learning (XML) for Multimedia-Based Healthcare Systems: Opportunities, Challenges, Ethical and Future Prospects
inferred← citeshttps://doi.org/10.1007/978-3-031-42293-5_60openalex-snapshot
Heuristics to Design Trustworthy Technologies: Study Design and Current Progress
inferred← citeshttps://doi.org/10.1007/978-3-031-43789-2_39openalex-snapshot
Explainable Document Classification via Pattern Structures
inferred← citeshttps://doi.org/10.1007/978-3-031-44064-9_12openalex-snapshot
SAC-FACT: Soft Actor-Critic Reinforcement Learning for Counterfactual Explanations
inferred← citeshttps://doi.org/10.1007/978-3-031-44067-0_17openalex-snapshot
What Will Make Misinformation Spread: An XAI Perspective
inferred← citeshttps://doi.org/10.1007/978-3-031-44067-0_27openalex-snapshot
Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers
inferred← citeshttps://doi.org/10.1007/978-3-031-44192-9_22openalex-snapshot
Explaining, Evaluating and Enhancing Neural Networks’ Learned Representations
inferred← citeshttps://doi.org/10.1007/978-3-031-44497-5_23openalex-snapshot
Materials in the Drive Chain – Modeling Materials for the Internet of Production
inferred← citeshttps://doi.org/10.1007/978-3-031-44505-7_8openalex-snapshot
Explaining the Behavior of Reinforcement Learning Agents Using Association Rules
inferred← citeshttps://doi.org/10.1007/978-3-031-46002-9_4openalex-snapshot
What, Indeed, is an Achievable Provable Guarantee for Learning-Enabled Safety-Critical Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-46238-2_1openalex-snapshot
Generative AI as a Supportive Tool for Scientific Research
inferred← citeshttps://doi.org/10.1007/978-3-031-46338-9_6openalex-snapshot
On the Different Concepts and Taxonomies of eXplainable Artificial Intelligence
inferred← citeshttps://doi.org/10.1007/978-3-031-47112-4_12openalex-snapshot
Supervised Learning, Explanation and Interpretation from Pretrial Detention Decisions by Italian and Brazilian Supreme Courts
inferred← citeshttps://doi.org/10.1007/978-3-031-49008-8_33openalex-snapshot
Symbolic Versus Deep Learning Techniques for Explainable Sentiment Analysis
inferred← citeshttps://doi.org/10.1007/978-3-031-53622-9_1openalex-snapshot
Introduction
inferred← citeshttps://doi.org/10.1007/978-3-031-54129-2_36openalex-snapshot
On the Use of AutoML for Combating Alert Fatigue in Security Operations Centers
inferred← citeshttps://doi.org/10.1007/978-3-031-56069-9_18openalex-snapshot
XSearchKG: A Platform for Explainable Keyword Search over Knowledge Graphs
inferred← citeshttps://doi.org/10.1007/978-3-031-56478-9_17openalex-snapshot
Α Cross-Sector Data Space for Correlating Environmental Risks with Human Health
inferred← citeshttps://doi.org/10.1007/978-3-031-57327-9_1openalex-snapshot
How Explainable Is Your System? Towards a Quality Model for Explainability
inferred← citeshttps://doi.org/10.1007/978-3-031-59216-4_9openalex-snapshot
Interpretability and Explainability of Machine Learning Models: Achievements and Challenges
inferred← citeshttps://doi.org/10.1007/978-3-031-63800-8_10openalex-snapshot
Categorical Foundation of Explainable AI: A Unifying Theory
inferred← citeshttps://doi.org/10.1007/978-3-031-64642-3_11openalex-snapshot
Explainable Artificial Intelligence for Ocean Health: Applications and Challenges
inferred← citeshttps://doi.org/10.1007/978-3-031-64642-3_9openalex-snapshot
Explainable AI (XAI) for Ocean Health: Exploring the Role of Explainable AI in Enhancing Ocean Health
inferred← citeshttps://doi.org/10.1007/978-3-031-65223-3_4openalex-snapshot
An Android Malware Multi-class Classification Explained Through Genetic Programming
inferred← citeshttps://doi.org/10.1007/978-3-031-65735-1_21openalex-snapshot
Socio-Technical Trustworthiness (SoTechTrust): A Framework to Ensure the Trustworthiness of Socio-Technical Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-66431-1_9openalex-snapshot
Formal Definition of Interpretability and Explainability in XAI
inferred← citeshttps://doi.org/10.1007/978-3-031-71495-5_6openalex-snapshot
Enhancing Trustworthiness in AI-Based Prognostics: A Comprehensive Review of Explainable AI for PHM
inferred← citeshttps://doi.org/10.1007/978-3-031-73500-4_23openalex-snapshot
A Multidimensional Taxonomy for Recent Trends in Explainable Artificial Intelligence
inferred← citeshttps://doi.org/10.1007/978-3-031-74627-7_22openalex-snapshot
Conversational XAI: Formalizing Its Basic Design Principles
inferred← citeshttps://doi.org/10.1007/978-3-031-75016-8_3openalex-snapshot
An Approach Based on LLMs for Forensic Threat Detection in Autonomous Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-77620-5_29openalex-snapshot
MEHAK: Explainable AI Classifier for COVID-19 Early Detection Based on LIME
inferred← citeshttps://doi.org/10.1007/978-3-031-78980-9_22openalex-snapshot
This Sounds Like That: Explainable Audio Classification via Prototypical Parts
inferred← citeshttps://doi.org/10.1007/978-3-031-84782-0_11openalex-snapshot
Analysis of Machine Learning and Artificial Intelligence in Finance: Growth and New Trends
inferred← citeshttps://doi.org/10.1007/978-3-031-89103-8_2openalex-snapshot
Generating Explanations for Molecular Property Predictions in Graph Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-031-90062-4_12openalex-snapshot
Evolutionary Reinforcement Learning for Interpretable Decision-Making in Supply Chain Management
inferred← citeshttps://doi.org/10.1007/978-3-031-92178-0_12openalex-snapshot
Machine Learning for Real World Water Consumption Forecasting
inferred← citeshttps://doi.org/10.1007/978-3-031-93412-4_3openalex-snapshot
How to Explain It to Data Scientists?
inferred← citeshttps://doi.org/10.1007/978-3-031-94623-3_41openalex-snapshot
From Black Box to Glass Box: A Model-Driven Engineering Approach for Explainable AI
inferred← citeshttps://doi.org/10.1007/978-3-031-97007-8_1openalex-snapshot
Explainable Artificial Intelligence and Trust in Smart Applications: Definition, Evolution and Challenges
inferred← citeshttps://doi.org/10.1007/978-3-031-97359-8_4openalex-snapshot
Trustworthy AI and Explainability
inferred← citeshttps://doi.org/10.1007/978-3-032-01940-0_2openalex-snapshot
Dataset Distillation for Enterprise Applications
inferred← citeshttps://doi.org/10.1007/978-3-032-08333-3_5openalex-snapshot
Evaluating Argumentation Graphs as Global Explainable Surrogate Models for Dense Neural Networks and Their Comparison with Decision Trees
inferred← citeshttps://doi.org/10.1007/978-3-032-09945-7_34openalex-snapshot
A Determination Framework of Quantitative Element of Criminal Offenses Integrating Explainable Artificial Intelligence
inferred← citeshttps://doi.org/10.1007/978-3-032-12344-2_16openalex-snapshot
AI in Government: Future Trends and Recommendations
inferred← citeshttps://doi.org/10.1007/978-3-032-13555-1_21openalex-snapshot
Optimizing Binary Sentiment Analysis for Imbalanced Data: Synergizing Resampling Techniques, Model Tuning, and Explainable AI
inferred← citeshttps://doi.org/10.1007/978-3-032-19038-3_23openalex-snapshot
TinyML: Small Models Making a Big Impact
inferred← citeshttps://doi.org/10.1007/978-3-032-26051-2_6openalex-snapshot
Explainable Artificial Intelligence in Critical Interactive Systems: Opportunities and Challenges
inferred← citeshttps://doi.org/10.1007/978-3-032-34459-5_11openalex-snapshot
Interpreting Model-Agnostic Black-Box Explanation Techniques
inferred← citeshttps://doi.org/10.1007/978-3-032-37664-0_28openalex-snapshot
PLEX: Edge-Aware Logic-Based Self-Explainable Graph Neural Networks with Polyadic Predicates
inferred← citeshttps://doi.org/10.1007/978-3-319-98390-5_184-1openalex-snapshot
Computer Science
inferred← citeshttps://doi.org/10.1007/978-3-658-19606-6_49openalex-snapshot
Verantwortungsbewusste Künstliche Intelligenz im Industriellen Internet der Dinge
inferred← citeshttps://doi.org/10.1007/978-3-658-23715-8_49-1openalex-snapshot
Verantwortungsbewusste Künstliche Intelligenz im Industriellen Internet der Dinge
inferred← citeshttps://doi.org/10.1007/978-3-658-35779-5_26openalex-snapshot
Potenziale im Bereich der Mobilität durch mathematische Methoden der KI
inferred← citeshttps://doi.org/10.1007/978-3-658-40232-7_26openalex-snapshot
Potentials in the Field of Mobility by Mathematical Methods of AI
inferred← citeshttps://doi.org/10.1007/978-3-658-42060-4_4openalex-snapshot
KI-basiertes akustisches Monitoring: Herausforderungen und Lösungsansätze für datengetriebene Innovationen auf Basis audiovisueller Analyse
inferred← citeshttps://doi.org/10.1007/978-3-662-62915-4_15openalex-snapshot
Das Internet of Production als Fundament der Datenverwertung in der Produktion
inferred← citeshttps://doi.org/10.1007/978-3-662-66509-1_15openalex-snapshot
The Internet of Production as the Foundation of Data Utilization in Production
inferred← citeshttps://doi.org/10.1007/978-981-15-8335-3_18openalex-snapshot
Explaining Deep Learning-Based Classification of Textual Tweets
inferred← citeshttps://doi.org/10.1007/978-981-15-8670-5_2openalex-snapshot
Designing Human–Machine Interactions in the Automated City: Methodologies, Considerations, Principles
inferred← citeshttps://doi.org/10.1007/978-981-16-3783-4_15openalex-snapshot
Explainable AI for Fighting COVID-19 Pandemic: Opportunities, Challenges, and Future Prospects
inferred← citeshttps://doi.org/10.1007/978-981-19-1610-6_66openalex-snapshot
Efficient Support Vector Machine Toward Medical Data Processing
inferred← citeshttps://doi.org/10.1007/978-981-19-7660-5_52openalex-snapshot
Showing the Impact of Data Augmentation on Model’s Decisions Using Integrated Gradients
inferred← citeshttps://doi.org/10.1007/978-981-19-7834-0_22openalex-snapshot
Role of Artificial Intelligence in the Toxicity Prediction of Drugs
inferred← citeshttps://doi.org/10.1007/978-981-19-8730-4_8openalex-snapshot
Blockchain and Artificial Intelligence for Business Transformation Toward Sustainability
inferred← citeshttps://doi.org/10.1007/978-981-95-2525-6_47openalex-snapshot
ADMET Prediction Based on Artificial Intelligence
inferred← citeshttps://doi.org/10.1007/978-981-95-5214-6_7openalex-snapshot
Ethical and Legal Dimensions of AI Integration in Forensic Entomology: Privacy, Data Security, and Evidence Interpretation
inferred← citeshttps://doi.org/10.1007/978-981-96-4808-5_1openalex-snapshot
Introduction
inferred← citeshttps://doi.org/10.1007/978-981-96-8563-9_33openalex-snapshot
AI Data Assistants: Transforming Analytical Workflows with Vector Database Service
inferred← citeshttps://doi.org/10.1007/978-981-96-9935-3_1openalex-snapshot
A Comprehensive Review on Explainable AI: Where It Was, Is and Will
inferred← citeshttps://doi.org/10.1007/978-981-97-1724-8_11openalex-snapshot
Explainable Artificial Intelligence Insight: An Orderly Survey
inferred← citeshttps://doi.org/10.1007/978-981-97-7880-5_35openalex-snapshot
Students Live Behavior Monitoring in Online Classes Using AI
inferred← citeshttps://doi.org/10.1007/978-981-97-9515-4_6openalex-snapshot
Analyzing and Visualizing AI Decision-Making for Human-Centered Interaction and Trust
inferred← citeshttps://doi.org/10.1007/978-981-99-5974-7_7openalex-snapshot
COVID-19 Disease Detection Using Explainable AI
inferred← citeshttps://doi.org/10.1007/978-981-99-7254-8_71openalex-snapshot
A Comprehensive Survey of Explainable Artificial Intelligence (XAI) Methods: Exploring Transparency and Interpretability
inferred← citeshttps://doi.org/10.1007/978-981-99-8413-8_8openalex-snapshot
A Melting Pot of Evolution and Learning
inferred← citeshttps://doi.org/10.1007/s00146-020-00960-wopenalex-snapshot
Artificial intelligence, transparency, and public decision-making
inferred← citeshttps://doi.org/10.1007/s00366-023-01915-7openalex-snapshot
Inherently interpretable machine learning solutions to differential equations
inferred← citeshttps://doi.org/10.1007/s00521-024-10811-0openalex-snapshot
Analyzing feature importance with neural-network-derived trees
inferred← citeshttps://doi.org/10.1007/s00521-025-11535-5openalex-snapshot
Explainable classification by local error amplification
inferred← citeshttps://doi.org/10.1007/s00607-021-01013-wopenalex-snapshot
MANIFESTO: a huMAN-centric explaInable approach for FakE news spreaders deTectiOn
inferred← citeshttps://doi.org/10.1007/s00778-023-00809-wopenalex-snapshot
xDBTagger: explainable natural language interface to databases using keyword mappings and schema graph
inferred← citeshttps://doi.org/10.1007/s10207-023-00689-9openalex-snapshot
An interpretability security framework for intelligent decision support systems based on saliency map
inferred← citeshttps://doi.org/10.1007/s10270-021-00862-5openalex-snapshot
Foundations of information technology based on Bunge’s systemist philosophy of reality
inferred← citeshttps://doi.org/10.1007/s10462-023-10525-0openalex-snapshot
Human-centric and semantics-based explainable event detection: a survey
inferred← citeshttps://doi.org/10.1007/s10462-023-10679-xopenalex-snapshot
Deepfakes: current and future trends
inferred← citeshttps://doi.org/10.1007/s10462-024-10854-8openalex-snapshot
Explainable artificial intelligence (XAI) in finance: a systematic literature review
inferred← citeshttps://doi.org/10.1007/s10462-024-10890-4openalex-snapshot
Explainable deep learning approach for advanced persistent threats (APTs) detection in cybersecurity: a review
inferred← citeshttps://doi.org/10.1007/s10462-025-11215-9openalex-snapshot
Model-agnostic explainable artificial intelligence methods in finance: a systematic review, recent developments, limitations, challenges and future directions
inferred← citeshttps://doi.org/10.1007/s10472-021-09772-0openalex-snapshot
An exploration of combinatorial testing-based approaches to fault localization for explainable AI
inferred← citeshttps://doi.org/10.1007/s10489-019-01533-1openalex-snapshot
Exploiting skew-adaptive delimitation mechanism for learning expressive classification rules
inferred← citeshttps://doi.org/10.1007/s10489-023-04810-2openalex-snapshot
An algorithm based on fuzzy ordinal classification to predict students’ academic performance
inferred← citeshttps://doi.org/10.1007/s10489-023-04944-3openalex-snapshot
Truthful meta-explanations for local interpretability of machine learning models
inferred← citeshttps://doi.org/10.1007/s10489-024-05321-4openalex-snapshot
Concept logic trees: enabling user interaction for transparent image classification and human-in-the-loop learning
inferred← citeshttps://doi.org/10.1007/s10586-020-03169-0openalex-snapshot
A regression tree predictive model for virtual machine startup time in IaaS clouds
inferred← citeshttps://doi.org/10.1007/s10614-024-10757-4openalex-snapshot
Analysis of Gold, Bitcoin, and Gold-Backed Cryptocurrencies as Safe Havens during Global Crises: A Focus on Artificial Intelligence Companies
inferred← citeshttps://doi.org/10.1007/s10618-022-00831-6openalex-snapshot
Counterfactual explanations and how to find them: literature review and benchmarking
inferred← citeshttps://doi.org/10.1007/s10618-022-00839-yopenalex-snapshot
Conclusive local interpretation rules for random forests
inferred← citeshttps://doi.org/10.1007/s10618-022-00867-8openalex-snapshot
A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts
inferred← citeshttps://doi.org/10.1007/s10618-023-00933-9openalex-snapshot
Benchmarking and survey of explanation methods for black box models
inferred← citeshttps://doi.org/10.1007/s10618-026-01246-3openalex-snapshot
A survey on explainable reinforcement learning: state of the art, challenges and opportunities
inferred← citeshttps://doi.org/10.1007/s10660-024-09852-3openalex-snapshot
Impact of social media posts’ characteristics on movie performance prior to release: an explainable machine learning approach
inferred← citeshttps://doi.org/10.1007/s10664-025-10792-1openalex-snapshot
XMutant: XAI-based fuzzing for deep learning systems
inferred← citeshttps://doi.org/10.1007/s10668-023-03131-1openalex-snapshot
A review of deep learning and machine learning techniques for hydrological inflow forecasting
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