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Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Composite Relationship Fields with Transformers for Scene Graph Generation

Data-Driven Control and Optimization under Noisy and Uncertain Conditions

Self-Supervised Bayesian representation learning of acoustic emissions from laser powder bed Fusion process for in-situ monitoring

A multi-modal pre-training transformer for universal transfer learning in metal-organic frameworks

Reinforcement bond performance in 3D concrete printing: Explainable ensemble learning augmented by deep generative adversarial networks

Learning Linearized Degradation of Health Indicators using Deep Koopman Operator Approach

Discriminating physiological from non‐physiological interfaces in structures of protein complexes: A community‐wide study

Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning