Why Causation Beats Correlation Every Time

Businesses that rely on correlation will be misled with increasing confidence. Businesses that master causation will navigate complexity with increasing clarity.
IEEE

CiiNet: Self-Iterative Performance Optimization for Dynamic Networks Based on Causal Inference and Interpretable Evaluation

Abstract: Causal inference and root cause analysis play a crucial role in network performance evaluation and optimization by identifying critical parameters and explaining how the configuration ...
IEEE

Direct Causal Inference for Out-of-Distribution Node Classification in Internet of Things

Abstract: Graph neural networks (GNNs) have achieved remarkable success in node classification tasks, yet their performance significantly degrades when encountering out-of-distribution (OOD) data due ...
GitHub

Steel Defect Detection with YOLOv8

The dataset is already organized in YOLO format in the steel_dataset/ directory. If you need to reorganize from original format, see utility/reorganize_dataset.py. steel-defect-detection/ ├── ...
GitHub

Running async execute in the python backend the correct way

So for reasons of concurrency I rely on the async execute of the python backend. I read through all of your examples and while my solution works, I wonder what the "correct" way to do this is? I ...