Abstract: High-fidelity in-phase and quadrature (I/Q) signal traces are critical for a variety of wireless network applications, including spectrum monitoring, interference detection and mitigation, ...

Classification algorithms learn how to assign class labels to examples (observations or data points), although their decisions can appear opaque. A popular diagnostic for understanding the decisions ...

This project is a binary classification problem of audio data that aims to classify human voices from audio recordings. This project uses a feed forward neural network and a convolutional neural ...

Dr. James McCaffrey from Microsoft Research presents a full-code, step-by-step tutorial on using the LightGBM tree-based system to perform binary classification (predicting a discrete variable that ...

Machine learning with neural networks is sometimes said to be part art and part science. Dr. James McCaffrey of Microsoft Research teaches both with a full-code, step-by-step tutorial. A binary ...

Abstract: Adversarial attacks have exposed serious vulnerabilities in deep neural networks (DNNs), causing misclassifications through human-imperceptible perturbations to DNN inputs. We explore a new ...