Fake news articles contained significantly higher levels of negative sentiment, including emotions such as fear, anger, ...

Artificial intelligence models used to detect depression on social media are often biased and methodologically flawed, ...

Efforts to map the distribution of debris flows, to assess the factors controlling their development, and to identify the areas susceptible to their occurrences are often hampered by the paucity of ...

Techniques such as Raman spectroscopy, Fourier-transform infrared (FTIR) spectroscopy, nuclear magnetic resonance (NMR), and ...

Sparse logistic regression (SLR), which is widely used for classification and feature selection in many fields, such as neural networks, deep learning, and bioinformatics, is the classical logistic ...

Machine learning models show promise in predicting colorectal cancer and advanced polyps, but validation gaps remain.

Businesses are still new at this. Here are some things to know about how to go about AI integration the right way.

Machine learning interview questions now focus on both theory and real-world applications.Understanding basics like overfitting, bias, and regres ...

Porter Neural Network Regression. Contribute to ayush-424/PorterNN development by creating an account on GitHub.

Next, unlike conventional physics-informed neural networks that only utilize macroscopic physical information, we constrain the training of the neural network by using dynamic metabolic flux analysis ...

Keywords: expectation-maximization (EM), majorization-minimization (MM), alternating least squares (ALS), tensor networks, tensor train, logistic regression, Pólya-Gamma (PG) augmentation Citation: ...