In the last two decades, mass digitization has dramatically changed the landscape of scholarly research. The ability to ...

Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

Imagine a future where artificial intelligence quietly shoulders the drudgery of software development: refactoring tangled ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Three distinct machine learning models are employed: the Long Short-Term Memory (LSTM), Bidirectional Long Short-Term Memory (Bi-LSTM) and a hybrid model that combines Autoencoder and Long Short-Term ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Supervised machine learning is often used to detect phishing websites. However, the scarcity of phishing data for training purposes limits the classifier's performance. Further, machine learning ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...