#Explainable AI
Latest news articles tagged with "Explainable AI". Follow the timeline of events, related topics, and entities.
Articles (15)
-
🇺🇸 Explainability-Aware Evaluation of Transfer Learning Models for IoT DDoS Detection Under Resource Constraints
[USA]
arXiv:2602.22488v1 Announce Type: cross Abstract: Distributed denial-of-service (DDoS) attacks threaten the availability of Internet of Things (IoT) infrastructures, particularly under resource-const...
Related: #Cybersecurity, #Machine Learning, #IoT Systems -
🇺🇸 Interpretable Medical Image Classification using Prototype Learning and Privileged Information
[USA]
arXiv:2310.15741v1 Announce Type: cross Abstract: Interpretability is often an essential requirement in medical imaging. Advanced deep learning methods are required to address this need for explainab...
Related: #Medical AI, #Computer Vision -
🇺🇸 XMorph: Explainable Brain Tumor Analysis Via LLM-Assisted Hybrid Deep Intelligence
[USA]
arXiv:2602.21178v1 Announce Type: cross Abstract: Deep learning has significantly advanced automated brain tumor diagnosis, yet clinical adoption remains limited by interpretability and computational...
Related: #Medical AI, #Brain tumor diagnosis, #Computational efficiency -
🇺🇸 Enhancing Large Language Models (LLMs) for Telecom using Dynamic Knowledge Graphs and Explainable Retrieval-Augmented Generation
[USA]
arXiv:2602.17529v1 Announce Type: new Abstract: Large language models (LLMs) have shown strong potential across a variety of tasks, but their application in the telecom field remains challenging due ...
Related: #Artificial Intelligence, #Natural Language Processing, #Telecom Engineering, #Knowledge Graphs -
🇺🇸 Explainable AI: Context-Aware Layer-Wise Integrated Gradients for Explaining Transformer Models
[USA]
arXiv:2602.16608v1 Announce Type: cross Abstract: Transformer models achieve state-of-the-art performance across domains and tasks, yet their deeply layered representations make their predictions dif...
Related: #Natural Language Processing, #Deep Learning Interpretability, #Transformer Architecture, #Integrated Gradients -
🇺🇸 A Lightweight Explainable Guardrail for Prompt Safety
[USA]
arXiv:2602.15853v1 Announce Type: cross Abstract: We propose a lightweight explainable guardrail (LEG) method for the classification of unsafe prompts. LEG uses a multi-task learning architecture to ...
Related: #AI safety, #Prompt safety, #Multi‑task learning, #Synthetic data generation -
🇺🇸 X-MAP: eXplainable Misclassification Analysis and Profiling for Spam and Phishing Detection
[USA]
arXiv:2602.15298v1 Announce Type: new Abstract: Misclassifications in spam and phishing detection are very harmful, as false negatives expose users to attacks while false positives degrade trust. Exi...
Related: #Cybersecurity, #Email spam and phishing detection, #Misclassification analysis, #Model interpretability -
🇺🇸 MRC-GAT: A Meta-Relational Copula-Based Graph Attention Network for Interpretable Multimodal Alzheimer's Disease Diagnosis
[USA]
arXiv:2602.15740v1 Announce Type: cross Abstract: Alzheimer's disease (AD) is a progressive neurodegenerative condition necessitating early and precise diagnosis to provide prompt clinical management...
Related: #Neuroscience, #Artificial Intelligence, #Graph Neural Networks, #Multimodal Data Integration -
🇺🇸 PolySHAP: Extending KernelSHAP with Interaction-Informed Polynomial Regression
[USA]
arXiv:2601.18608v2 Announce Type: replace Abstract: Shapley values have emerged as a central game-theoretic tool in explainable AI (XAI). However, computing Shapley values exactly requires $2^d$ game...
Related: #Game‑theoretic feature attribution, #Machine‑learning interpretability, #Computational efficiency, #Feature interactions -
🇺🇸 X-SYS: A Reference Architecture for Interactive Explanation Systems
[USA]
arXiv:2602.12748v1 Announce Type: new Abstract: The explainable AI (XAI) research community has proposed numerous technical methods, yet deploying explainability as systems remains challenging: Inter...
Related: #System Architecture, #Information Systems -
🇺🇸 EXCODER: EXplainable Classification Of DiscretE time series Representations
[USA]
arXiv:2602.13087v1 Announce Type: cross Abstract: Deep learning has significantly improved time series classification, yet the lack of explainability in these models remains a major challenge. While ...
Related: #Time Series Analysis, #Deep Learning -
🇺🇸 Power Interpretable Causal ODE Networks: A Unified Model for Explainable Anomaly Detection and Root Cause Analysis in Power Systems
[USA]
arXiv:2602.12592v1 Announce Type: cross Abstract: Anomaly detection and root cause analysis (RCA) are critical for ensuring the safety and resilience of cyber-physical systems such as power grids. Ho...
Related: #Machine Learning, #Power Systems, #Anomaly Detection -
🇺🇸 Can Neural Networks Provide Latent Embeddings for Telemetry-Aware Greedy Routing?
[USA]
arXiv:2602.12798v1 Announce Type: cross Abstract: Telemetry-Aware routing promises to increase efficacy and responsiveness to traffic surges in computer networks. Recent research leverages Machine Le...
Related: #Machine Learning, #Network Routing -
🇺🇸 Hierarchical Retrieval at Scale: Bridging Transparency and Efficiency
[USA]
arXiv:2502.07971v2 Announce Type: replace-cross Abstract: Information retrieval is a core component of many intelligent systems as it enables conditioning of outputs on new and large-scale datasets. ...
Related: #Information Retrieval, #Computational Efficiency -
🇺🇸 Predicting Open Source Software Sustainability with Deep Temporal Neural Hierarchical Architectures and Explainable AI
[USA]
arXiv:2602.09064v2 Announce Type: replace-cross Abstract: Open Source Software (OSS) projects follow diverse lifecycle trajectories shaped by evolving patterns of contribution, coordination, and comm...
Related: #Software Engineering, #Machine Learning, #Open Source Sustainability, #Data‑Driven Analytics