In this paper, the addressed challenge is to build a software-based framework allowing for automated detection of failures and fast simulation-based evaluation of designs. In particular, these tasks ...

Selecting a meter/mix dispensing machine Choosing the right meter/mix dispensing machine requires careful evaluation of key material and process parameters to develop a precise specification, ensuring ...

Nowadays, the rapid development of natural language processing has brought great progress for the area of machine translation. Various deep neural network-based ...

Critical Error Detection in Machine Translation - Project for Computational Semantics for NLP, ETH Zurich, 2021. - haeggee/error-detection-mt ...

Supervised learning is a type of machine learning that uses labeled data to train a model that can predict the output or class of new data. For anomaly and outlier detection, you can use ...

Each subplot represents a different anomaly detection model, providing a comparative overview of their performance and the distribution of anomaly scores. Area Charts: Area charts effectively show the ...

With the number of credit card transactions rapidly increasingly by the day, one University of Ottawa student is doing what ...

To detect overfitting, compare the model's performance on training and validation datasets. A significant gap indicates overfitting. Techniques like cross-validation, where the data is split into ...