explainable-artificial-intelligence

Documents about explainable-artificial-intelligence

• A Unified Framework for Evaluating and Enhancing the Transparency of Explainable AI Methods via Perturbation-Gradient Consensus Attribution#128326arXiv (OAI)
• A systematic review on the integration of explainable artificial intelligence in intrusion detection systems to enhancing transparency and interpretability in cybersecurity#671718OpenAlex
• Explainable artificial intelligence in ICU admission prediction for methanol poisoning patients: a comparative study of deep and machine learning models.#433921NCBI PubMed Central
• Class Activation Mapping in Explainable Computer Vision: A Method-Centered Review of CNN, Transformer, and Foundation-Model-Era Visual Explanations#447968arXiv CS
• Federated learning explainable deep learning framework for enhanced internet of medical things security#626800Springer Nature OA
• TriSLA: A Preventive and Closed-Loop SLA-Aware Architecture for Multidomain Decision-Making with Explainable Artificial Intelligence in 5G Networks#627645arXiv CS
• SoK: Explainable Machine Learning for Computer Security Applications#671960OpenAlex
• Explainable machine learning multi-label classification of Spanish legal judgements#679219OpenAlex
• Explainable Artificial Intelligence for Industrial Cybersecurity: A Review of Methods, Operational Integration, and Research Challenges#809643arXiv (OAI Expanded)
• Explainable Artificial Intelligence for Industrial Cybersecurity: A Review of Methods, Operational Integration, and Research Challenges#819639arXiv (All)
• Development of a deep learning based framework for classification of Indian venomous snakes integrated with explainable artificial intelligence for primary and emergency care providers#263310PLOS
• Longitudinal prediction of BMI using explainable AI: Integrating polygenic scores, maternal, early-life and familial factors#654731Research Online
• Explainable Artificial Intelligence System for Guiding Companies and Users in Detecting and Fixing Multimedia Web Vulnerabilities on MCS Contexts#20566DOAJ
• Introducing RobustiPy: An efficient next generation multiversal library with model selection, averaging, resampling, and explainable artificial intelligence#131345arXiv (OAI)
• Conceptual explanations for vision and language foundation models#207011RUcore, Rutgers University Community Repository
• Explainability in Predictive Learning Dashboards: A Review of Educational Utility and Design Strategies#276913OSF
• Explainable AI (XAI): Core Ideas, Techniques, and Solutions#335796OpenAlex
• Explainable machine learning in cybersecurity: A survey#671787OpenAlex
• What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research#747280PhilArchive
• Grammar of the Wave: Towards Explainable Multivariate Time Series Event Detection via Neuro-Symbolic VLM Agents#789593arXiv (OAI Expanded)
• Grammar of the Wave: Towards Explainable Multivariate Time Series Event Detection via Neuro-Symbolic VLM Agents#793597arXiv (All)
• A Review of Trustworthy and Explainable Artificial Intelligence (XAI)#964377OpenAlex
• A hybrid framework combining large language models and Shapley-based methods for explainable cyberbullying detection#977382Springer Nature OA
• Bag of Tricks or Bag of Myths? Reducing Modeling Complexity with Task Knowledge in Explainable Suicide Risk Assessment#984664arXiv (All)
• The Causal Imperative: Why True Artificial Intelligence Must Be Causal — A Theoretical Foundation Grounded in the Meta Generative Principle#20942DataCite
• The Causal Imperative: Why True Artificial Intelligence Must Be Causal — A Theoretical Foundation Grounded in the Meta Generative Principle#20943DataCite
• Systematic Vulnerability Audit of Post-Hoc XAI under Common Corruptions: Analysis Pipeline#122144DataCite
• Systematic Vulnerability Audit of Post-Hoc XAI under Common Corruptions: Analysis Pipeline#122152DataCite
• Systematic Vulnerability Audit of Post-Hoc XAI under Common Corruptions: Analysis Pipeline#122153DataCite
• Interpretable Machine Learning for Predicting Splitting Strength of Asphalt Concrete: Insights from SHAP Analysis#173977Digital Commons @ Michigan Tech
• From black-box prediction to transparent insight: the status quo and paradigm shift of explainable artificial intelligence in hepatocellular carcinoma research.#449833NCBI PubMed Central
• A Survey of Explainable Artificial Intelligence for Smart Cities#686385OpenAlex
• Explainable deep learning approach for advanced persistent threats (APTs) detection in cybersecurity: a review#976541OpenAlex
• Explainable AI for Intrusion Detection Systems: LIME and SHAP Applicability on Multi-Layer Perceptron#200919OpenAlex
• Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)#6557OpenAlex
• Graph embedding approaches for social media sentiment analysis with model explanation#19964DOAJ
• Explainable AI for Healthcare 5.0: Opportunities and Challenges#199649OpenAlex
• Explainable Deep Learning: A Field Guide for the Uninitiated#335765OpenAlex
• The coming of age of interpretable and explainable machine learning models#335775OpenAlex
• Validating Explainer Methods: A Functionally Grounded Approach for Numerical Forecasting#451792EconStor
• Explainable AI for Bioinformatics: Methods, Tools and Applications#679257OpenAlex
• Explainable Temporal Attention-based Defect Detection For Fillet Joints in Real-Time Gas Metal Arc Welding Based on Multi-modal Data#985304arXiv (All)
• Enhancing chronic disease management: hybrid graph networks and explainable AI for intelligent diagnosis#430064Figshare
• An Explainable Machine Learning Framework for Intrusion Detection Systems#199634OpenAlex
• Review of Explainable Decision Support and Adaptive Human-Machine Interfaces for Automation Transparency in Maritime Autonomous Surface Ships#668319arXiv (OAI Expanded)
• Review of Explainable Decision Support and Adaptive Human-Machine Interfaces for Automation Transparency in Maritime Autonomous Surface Ships#670384arXiv (All)
• Explainable Deep Learning for Price-Trade Dynamics: From Black-Box Forecasts to Effective Parametric Models#973692arXiv (All)
• Development of a deep learning based framework for classification of Indian venomous snakes integrated with explainable artificial intelligence for primary and emergency care providers.#284986NCBI PubMed Central
• Interpretable and explainable artificial intelligence for wearable sensor-based fall risk assessment in older adults: a systematic review with considerations for prosthetics and orthotics.#412237NCBI PubMed Central
• Explainable AI-driven edge–cloud framework for cluster-based predictive cyber threat detection in IIoT-enabled internet of vehicles#626796Springer Nature OA