Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on creating an approximation of a dataset that has fewer columns. Imagine that you have a dataset that has many ...

Abstract: Industrial data collected from similar processes under varying production specifications or monitoring configurations often exhibit structural heterogeneity, particularly in the form of ...

In the last decade, auxiliary information has been widely used to address data sparsity. Due to the advantages of feature extraction and the no-label requirement, autoencoder-based methods addressing ...

Abstract: Data-driven soft sensing is widely adopted for real-time quality variable detection due to rapid advancements in machine learning. Industrial process data typically exhibit high ...

Unsupervised domain adaptation has provoked vast amount of attention and research in past decades. Among all the deep-based methods, the autoencoder-based approach have achieved sound performance for ...

Recent studies have demonstrated that high-quality annotated data is crucial for the performance of segmentation models. However, incomplete or corrupted mask annotations remain a common issue, ...

This project provides a Python-based solution for finding and encoding video files on a Linux machine using FFmpeg and HandBrakeCLI. It consists of several modules that work together to scan for video ...