:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Pehlke, Marcel, Jansen, Marc
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2511.07086
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Increasing AI Explainability by LLM Driven Standard Processes
por: Jansen, Marc, et al.
Publicado: (2025)

AI in the Writing Process: How Purposeful AI Support Fosters Student Writing
por: Siddiqui, Momin N., et al.
Publicado: (2025)

Towards Responsible and Explainable AI Agents with Consensus-Driven Reasoning
por: Bandara, Eranga, et al.
Publicado: (2025)

Improving Industrial Injection Molding Processes with Explainable AI for Quality Classification
por: Rottenwalter, Georg, et al.
Publicado: (2025)

Holistic Explainable AI (H-XAI): Extending Transparency Beyond Developers in AI-Driven Decision Making
por: Lakkaraju, Kausik, et al.
Publicado: (2025)

Privacy Implications of Explainable AI in Data-Driven Systems
por: Ezzeddine, Fatima
Publicado: (2024)

Policy-Driven AI in Dataspaces: Taxonomy, Explainability, and Pathways for Compliant Innovation
por: Chandra, Joydeep, et al.
Publicado: (2025)

MADREC: A Multi-Aspect Driven LLM Agent for Explainable and Adaptive Recommendation
por: Park, Jiin, et al.
Publicado: (2025)

The Pedagogy of AI Mistakes: Fostering Higher-Order Thinking
por: Hosseini, Hadi
Publicado: (2026)

Modularizing Educational LLM-Agency for Fostering Responsible Learning Assistance
por: Gabelmann, Julius, et al.
Publicado: (2026)

AI-Driven Decision-Making System for Hiring Process
por: Filatova, Vira, et al.
Publicado: (2025)

Joint Explainability-Performance Optimization With Surrogate Models for AI-Driven Edge Services
por: Charalampakos, Foivos, et al.
Publicado: (2025)

Dataset | Mindset = Explainable AI | Interpretable AI
por: Wu, Caesar, et al.
Publicado: (2024)

Hierarchical AI-Meteorologist: LLM-Agent System for Multi-Scale and Explainable Weather Forecast Reporting
por: Sukhorukov, Daniil, et al.
Publicado: (2025)

XChoice: Explainable Evaluation of AI-Human Alignment in LLM-based Constrained Choice Decision Making
por: Qi, Weihong, et al.
Publicado: (2026)

EXPLICATE: Enhancing Phishing Detection through Explainable AI and LLM-Powered Interpretability
por: Lim, Bryan, et al.
Publicado: (2025)

Explainability-Driven Dimensionality Reduction for Hyperspectral Imaging
por: Haidar, Salma, et al.
Publicado: (2025)

AI for Water Sustainability: Global Water Quality Assessment and Prediction with Explainable AI with LLM Chatbot for Insights
por: Paneru, Biplov, et al.
Publicado: (2024)

Defining Explainable AI for Requirements Analysis
por: Sheh, Raymond, et al.
Publicado: (2026)

Evaluating Explainability: A Framework for Systematic Assessment and Reporting of Explainable AI Features
por: Lago, Miguel A., et al.
Publicado: (2025)

Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI
por: Paraschou, Eva, et al.
Publicado: (2025)

Need of AI in Modern Education: in the Eyes of Explainable AI (xAI)
por: Manna, Supriya, et al.
Publicado: (2024)

PMAx: An Agentic Framework for AI-Driven Process Mining
por: Antonov, Anton, et al.
Publicado: (2026)

Robust Markov Decision Processes: A Place Where AI and Formal Methods Meet
por: Suilen, Marnix, et al.
Publicado: (2024)

Automated and Explainable Denial of Service Analysis for AI-Driven Intrusion Detection Systems
por: Yakubu, Paul Badu, et al.
Publicado: (2025)

AI-Driven Predictive Analytics Approach for Early Prognosis of Chronic Kidney Disease Using Ensemble Learning and Explainable AI
por: Jawad, K M Tawsik, et al.
Publicado: (2024)

LLM-Grounded Explainable AI for Supply Chain Risk Early Warning via Temporal Graph Attention Networks
por: Xue, Zhiming, et al.
Publicado: (2026)

Explainable Predictive Process Monitoring: A User Evaluation
por: Rizzi, Williams, et al.
Publicado: (2022)

Explainable AI for Ship Collision Avoidance: Decoding Decision-Making Processes and Behavioral Intentions
por: Yoshioka, Hitoshi, et al.
Publicado: (2024)

Explainable AI needs formalization
por: Haufe, Stefan, et al.
Publicado: (2024)

LLM-Driven 3D Scene Generation of Agricultural Simulation Environments
por: Yoncalik, Arafa, et al.
Publicado: (2026)

Explainable AI the Latest Advancements and New Trends
por: Long, Bowen, et al.
Publicado: (2025)

A Survey of the State of Explainable AI for Natural Language Processing
por: Danilevsky, Marina, et al.
Publicado: (2020)

llmSHAP: A Principled Approach to LLM Explainability
por: Naudot, Filip, et al.
Publicado: (2025)

BoolXLLM: LLM-Assisted Explainability for Boolean Models
por: Cheng, Du, et al.
Publicado: (2026)

HealthProcessAI: A Technical Framework and Proof-of-Concept for LLM-Enhanced Healthcare Process Mining
por: Illueca-Fernandez, Eduardo, et al.
Publicado: (2025)

INEXA: Interactive and Explainable Process Model Abstraction Through Object-Centric Process Mining
por: Benzin, Janik-Vasily, et al.
Publicado: (2024)

AI-Driven Optimization under Uncertainty for Mineral Processing Operations
por: Xu, William, et al.
Publicado: (2025)

TPU-Gen: LLM-Driven Custom Tensor Processing Unit Generator
por: Vungarala, Deepak, et al.
Publicado: (2025)

A Knowledge-Driven LLM-Based Decision-Support System for Explainable Defect Analysis and Mitigation Guidance in Laser Powder Bed Fusion
por: Shahriar, Basit Mahmud, et al.
Publicado: (2026)