explainable-artificial-intelligence

Documents about explainable-artificial-intelligence

• ARTIFICIAL INTELLIGENCE DRIVEN FINANCIAL RISK PREDICTION AND FRAUD DETECTION IN MODERN BANKING SYSTEMS#210160Zenodo (CERN)
• Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunities#421617OpenAlex
• Enhanced cardiovascular disease risk prediction using explainable machine learning and data balancing#438686Figshare
• Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions#93599PhilArchive
• Towards Trustworthy and Explainable AI for Perception Models: From Concept to Prototype Vehicle Deployment#192405arXiv CS
• Wastewater Membrane Bioreactors: A Comprehensive Review of Explainable Artificial Intelligence and Digital Twin Applications.#232316NCBI PubMed Central
• Explainable Artificial Intelligence in Dentistry: A Systematic Review of Its Trust and Translation.#251078NCBI PubMed Central
• Predicting Intramyocardial Hemorrhage Before Reperfusion in STEMI Patients With Intrinsically Explainable Artificial Intelligence.#295167NCBI PubMed Central
• MoE-Enhanced Explainable Deep Manifold Transformation for Complex Data Embedding and Visualization#611267arXiv (OAI Expanded)
• Privacy-Preserving Decentralized Federated Learning via Explainable Adaptive Differential Privacy#611349arXiv (OAI Expanded)
• MoE-Enhanced Explainable Deep Manifold Transformation for Complex Data Embedding and Visualization#612744arXiv (All)
• Privacy-Preserving Decentralized Federated Learning via Explainable Adaptive Differential Privacy#612826arXiv (All)
• MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving#664094arXiv (OAI Expanded)
• MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving#665594arXiv (All)
• Why is it (still) Difficult to Understand Black-Box Models? Explainable Artificial Intelligence and the Experimenters’ Regress#687609PhilArchive
• Towards reliable multimodal disaster severity assessment through preference optimization and explainable vision-language reasoning#820881arXiv (All)
• XSRD-Net: EXplainable Stroke Relapse Detection#998014arXiv (All)
• Artificial intelligence and wearable sensors in sports injury risk prediction: current status and future perspectives#127512Europe PMC
• Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI#335693OpenAlex
• A Novel Ensemble of Deep Learning Approach for Cybersecurity Intrusion Detection with Explainable Artificial Intelligence#372067OpenAlex
• A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence#686316OpenAlex
• Classification of Explainable Artificial Intelligence Methods through Their Output Formats#686553OpenAlex
• Explainable artificial intelligence for intrusion detection in IoT networks: A deep learning based approach#200902OpenAlex
• Tell Me Why: Designing an Explainable LLM-based Dialogue System for Student Problem Behavior Diagnosis#134605arXiv CS
• The Emerging Role of Explainable Artificial Intelligence in EEG-Based Autism Research: A Systematic Review.#140512NCBI PubMed Central
• Explainable artificial intelligence to quantify adenoid hypertrophy-related upper airway obstruction using 3D Shape Analysis.#148290NCBI PubMed Central
• Explainable Control Framework (XCF) based on Fuzzy Model-Agnostic Explanation and LLM Agent-Supported Interface#307055arXiv CS
• Towards Trustworthy Autonomous Robots: An Explainable AI-Based Decision Framework#920745arXiv (OAI Expanded)
• Towards Trustworthy Autonomous Robots: An Explainable AI-Based Decision Framework#924979arXiv (All)
• Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence#335793OpenAlex
• Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions#964372OpenAlex
• Intraday Decision Support for Traders: Explainable CNN-Based Directional Price Forecasting from Candlestick Chart Images#12003DataCite
• Intraday Decision Support for Traders: Explainable CNN-Based Directional Price Forecasting from Candlestick Chart Images#12004DataCite
• Unifying and Expanding Global and Local Variable Importance Methods for Explainable Machine Learning#373973DigitalCommons@USU
• A Hybrid Machine Learning–Deep Learning Framework for Explainable and Scalable Digital Forensic Analysis#394071Zenodo (CERN)
• Enhancing crop recommendation systems with explainable artificial intelligence: a study on agricultural decision-making#686519OpenAlex
• Trustworthy Artificial Intelligence for Real-Time Quality Assurance in Additive Manufacturing#823327LSU Digital Commons
• A Systematic Review of Explainable Artificial Intelligence in Terms of Different Application Domains and Tasks#964457OpenAlex
• Code and data for: Integrating Explainable AI and Multi-Objective Optimization for Wildfire Resource Allocation#124894DataCite
• Code and data for: Integrating Explainable AI and Multi-Objective Optimization for Wildfire Resource Allocation#124895DataCite
• Explainable artificial intelligence-driven ensemble learning for asthma risk prediction using machine and deep learning.#159756NCBI PubMed Central
• Glial biomarkers improve classification of cognitive impairment: an explainable artificial intelligence study using CSF biomarkers.#161971NCBI PubMed Central
• Discovering Transferable Forensic Features for CNN-generated Images Detection#273687Figshare
• Explainable artificial intelligence models using SHAP enhanced CatBoost, Bi-GRU with attention, and Tab Transformer.#342488NCBI PubMed Central
• Evaluating RE Practices for Explainability: Synthesizing Insights from Daimler Truck into an Explainable RE Framework Proposal#363290arXiv CS
• KGCaRe: Explainable Complex Conditional Question Answering using Automatic Knowledge Graph Construction and Context Retrieval with LLMs#441841arXiv CS
• Explainable artificial intelligence for postoperative analgesia risk stratification and clinical decision support in abdominal surgery.#465142NCBI PubMed Central
• PHAX: A Structured Argumentation Framework for User-Centered Explainable AI in Public Health and Biomedical Sciences#919778arXiv (OAI Expanded)
• PHAX: A Structured Argumentation Framework for User-Centered Explainable AI in Public Health and Biomedical Sciences#924007arXiv (All)
• An explainable and latent space-based deep learning model for improved short-term load forecasting#374344HAL (France)