Automated AI Model Development: a Systematic Literature Review
IMPACTX: Improving Model Performance by Appropriately predicting CorrecT eXplanations
A Review on Empirical Studies in Explainable Artificial Intelligence
Federated Large Language Models in Healthcare: A Systematic Review, Opportunities and Challenges
On-Device Large Language Models: A Survey of Model Compression and System Optimization
Decoding Transformers Spectra: A Random Matrix Theory Framework Beyond the Marchenko–Pastur Law
From Individual Decisions to Team Emergence: A Survey on Explainable Cooperative Multi-Agent Reinforcement Learning
Deepfake Detection Across Image, Video, and Audio: A Comprehensive Survey with Empirical Evaluation of Generalization and Robustness
A Practical Approach to Multivariate Time Series Anomaly Detection in Automotive Bus Systems Testing
A Comprehensive Comparison of Constrained Multi-Objective Evolutionary Algorithms