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Explainable Artificial Intelligence (XAI)
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Explainable Artificial Intelligence
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Towards Transparent AI: A Survey on Explainable Large Language Models
Can "consciousness" be observed from large language model (LLM) internal states? Dissecting LLM representations obtained from Theory of Mind test with Integrated Information Theory and Span Representation analysis
Communicating Smartly in the Molecular Domain: Neural Networks in the Internet of Bio-Nano Things
Toward the Explainability of Protein Language Models for Sequence Design
A Lightweight IDS for Early APT Detection Using a Novel Feature Selection Method
midr: Learning from Black-Box Models by Maximum Interpretation Decomposition
Transfer Learning and Explainable AI for Brain Tumor Classification: A Study Using MRI Data from Bangladesh
Do Protein Transformers Have Biological Intelligence?
Applying XAI based unsupervised knowledge discovering for Operation modes in a WWTP. A real case: AQUAVALL WWTP
TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation
A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks
Explainable-AI powered stock price prediction using time series transformers: A Case Study on BIST100
DiCoFlex: Model-agnostic diverse counterfactuals with flexible control
Explanation User Interfaces: A Systematic Literature Review
Time series saliency maps: explaining models across multiple domains
From What Ifs to Insights: Counterfactuals in Causal Inference vs. Explainable AI
Addressing the Scarcity of Benchmarks for Graph XAI
Most General Explanations of Tree Ensembles (Extended Version)
Heart2Mind: Human-Centered Contestable Psychiatric Disorder Diagnosis System using Wearable ECG Monitors
WebXAII: an open-source web framework to study human-XAI interaction
Financial Fraud Detection Using Explainable AI and Stacking Ensemble Methods
PnPXAI: A Universal XAI Framework Providing Automatic Explanations Across Diverse Modalities and Models
SIM-Shapley: A Stable and Computationally Efficient Approach to Shapley Value Approximation
Tuning for Trustworthiness -- Balancing Performance and Explanation Consistency in Neural Network Optimization
Explainable Artificial Intelligence Techniques for Software Development Lifecycle: A Phase-specific Survey
VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
Machine Learning Meets Transparency in Osteoporosis Risk Assessment: A Comparative Study of ML and Explainability Analysis
Explainable AI in Spatial Analysis
DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning
ApproXAI: Energy-Efficient Hardware Acceleration of Explainable AI using Approximate Computing
Focal Cortical Dysplasia Type II Detection Using Cross Modality Transfer Learning and Grad-CAM in 3D-CNNs for MRI Analysis
Explainable AI-Based Interface System for Weather Forecasting Model
Which LIME should I trust? Concepts, Challenges, and Solutions
Exploring Energy Landscapes for Minimal Counterfactual Explanations: Applications in Cybersecurity and Beyond
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