explainable-artificial-intelligence

Documents about explainable-artificial-intelligence

• A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?#964502OpenAlex
• XAI-SDN: An Explainable Entropy-Guided Machine Learning Framework for Real-Time DDoS Detection in Software Defined Networks#972752arXiv (All)
• Fusing Sequence Motifs and Pan-Genomic Features: Antimicrobial Resistance Prediction using an Explainable Lightweight 1D CNN-XGBoost Ensemble#972963arXiv (All)
• Anonymised export of a real product backlog from a large-scale agile IT project portfolio executed between 2020 and 2022#300432Dane Badawcze UW Dataverse OAI Archive
• Development of a Deep Learning Based Framework for Classification of Indian Venomous Snakes Integrated with Explainable Artificial Intelligence for primary and emergency care providers#13932bioRxiv / medRxiv
• Cyber Attack Prediction From Traditional Machine Learning to Generative Artificial Intelligence#186927Zenodo (CERN)
• A Survey of the Application of Explainable Artificial Intelligence in Biomedical Informatics#393146OpenAlex
• S-AI-RLM: A Recursive Logic Machine#632411Zenodo (CERN)
• Towards eXplainable Artificial Intelligence (XAI) in Tax Law: The Need for a Minimum Legal Standard#964367OpenAlex
• Explainable artificial intelligence: A survey of needs, techniques, applications, and future direction#964516OpenAlex
• A Verifier-Guided Explainable Reasoning Framework with Gold-Anchored QLoRA, Task-Aware Mixture-of-Experts, and Group-Relative RLVR#972163arXiv (All)
• Documenting AI Systems under the EU AI Act: A UML Architectural Framework with Support for Post-Hoc XAI#20612Zenodo (CERN)
• What do we need to build explainable AI systems for the medical domain?#335709OpenAlex
• Application of Artificial Intelligence to Support Design and Analysis of Steel Structures#620321IRIS
• Explainable AI-driven comparative analysis of machine learning models for predicting HIV viral nonsuppression in Ugandan patients : retrospective cross-sectional study#425973University of Pretoria Repository
• Prediction of bank transaction fraud using TabNet—an adaptive deep learning architecture#20073DOAJ
• Acceptance of Artificial Intelligence in Clinical Practice Among Chinese Physicians: Nationwide Cross-Sectional Survey Using Extended Unified Theory of Acceptance and Use of Technology and Explainable Machine Learning.#25683NCBI PubMed Central
• Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities#200912OpenAlex
• Explainable artificial intelligence model to predict acute critical illness from electronic health records#215770OpenAlex
• Algorithmic Decision Making in Medical Diagnosis: Understanding The Ambiguity Present Within Australian Law and 'Explainable Artificial Intelligence'#327825OSF
• Development of research ethics guidelines for healthcare generative artificial intelligence: deriving expert consensus through a Delphi study#458397DOAJ
• Fusing Perceptual Vision Experts with Multimodal Large Language Models for Explainable Plant Disease Diagnosis: From Benchmark Imagery to Real-World Robotic Field Validation#973344arXiv (All)
• AC-TRP: Architecture-Aligned Temporal Relevance Propagation for Comparable Time-Series Explanations Across Architectures#13291DataCite
• AC-TRP: Architecture-Aligned Temporal Relevance Propagation for Comparable Time-Series Explanations Across Architectures#13292DataCite
• Cutting-edge advances in AI and ML for cybersecurity: a comprehensive review of emerging trends and future directions#20563DOAJ
• Applying explainable artificial intelligence to interpret supervised ensemble learning models for robust credit card fraud detection#190607Springer Nature OA
• Applications of Explainable Artificial Intelligence in Finance—a systematic review of Finance, Information Systems, and Computer Science literature#964539OpenAlex
• Moving beyond post hoc explainable artificial intelligence: a perspective paper on lessons learned from dynamical climate modeling#983459eScholarship
• Explainable Artificial Intelligence (XAI) for Intrusion Detection and Mitigation in Intelligent Connected Vehicles: A Review#200952OpenAlex
• Artificial Intelligence to Help Reduce Delays and Bottlenecks in the Care Pathways for Rare Diseases: An Integrated Practitioner–Patient Approach#246869HAL (France)
• X-NET: explainable AI-based network data security framework for Healthcare 4.0#462358RUcore, Rutgers University Community Repository
• “Why Should I Trust Your IDS?”: An Explainable Deep Learning Framework for Intrusion Detection Systems in Internet of Things Networks#199729OpenAlex
• Machine Learning for Intensive Care Unit Length-of-Stay Prediction: A Simulation-Based Approach to Bed Capacity Management#5759Europe PMC
• TriSLA: A Preventive and Closed-Loop SLA-Aware Architecture for Multidomain Decision-Making with Explainable Artificial Intelligence in 5G Networks#821245arXiv (All)
• Privacy-aware adversarial defense with explainable AI for adversarial robustness in AI model#824312Springer Nature OA
• A Clinical Prediction Model for Surgical Site Infection After Central Nervous System Tumor Surgery#888853ClinicalTrials.gov
• Adaptive model poisoning detection in federated learning for EV charging networks: a blockchain-anchored explainable AI approach#1020725Springer Nature OA
• eXplainable Artificial Intelligence for Transparent Optimization of Deep Learning-Based Intrusion Detection Systems#171287Springer Nature OA
• An approach for identifying anomalous cryptocurrency transactions using temporal blockchain features and machine learning with explainability analysis#336316Research Online
• Justice Lens: An AI-Powered Legal Assistant for Simplifying Indian Law#990597Zenodo (CERN)
• An Explainable Tiny-Fast Kolmogorov-Arnold Network for Gesture-Based Air Handwriting Recognition of Tifinagh Letters in Resource-Constrained IoT Device#382000DR-NTU (Digital Repository of NTU)
• Interpretable Rule-based Classification for Photovoltaic Fault Detection Using Discrete Tuna Swarm Optimization#391847HAL (France)
• Interpretable Battery SOH Prediction: A Comparative Interpretability Framework for Multi-Architecture ML Models#409583ODU Digital Commons
• Seasonal forecasting of dam water resources using optimized hybrid models under unprecedented drought conditions#250215HAL (France)
• EBTAG: explainable brain tumor segmentation with EfficientNetV2, attention mechanism, and Grad-CAM in clinical and public datasets#435103Springer Nature OA
• An Explainable CS-Mitigation Triangular (ECSMT) Framework to Secure Graph Neural Networks#437327ODU Digital Commons
• Uncertainty-aware maintenance scheduling in water distribution networks via ensemble neural forecasting and explainable confidence indexing#680859Springer Nature OA
• Approche hybride combinant graphes de connaissances biomédicauxhétéromodaux et réseaux de neurones explicables.Application à la prédiction de cibles thérapeutiques associées à la résistance dans le cancer#156052HAL (France)
• Supplementary file 1_Interpretable machine learning–based prediction of 90-day mortality after endovascular treatment in acute large vessel occlusion stroke.docx#635007Figshare
• {'@classid': 'main title', '@classname': 'main title', '@schemeid': 'dnet:dataCite_title', '@schemename': 'dnet:dataCite_title', '$': 'Explainable Artificial Intelligence based Ensemble Machine Learning for Ovarian Cancer Stratification using Electronic Health Records'}#490973OpenAIRE