IEEE

ITALYSIG: Open and High Fidelity I/Q Signal Database With Tutorial and Applications for Wireless Research

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, ...
Scientific Research Publishing

Comparing Classification Models for Predicting Malaria: A Case Study of Malaria Incidence in Kenya ()

1 Department of Mathematics, Meru University of Science & Technology (MUST), Meru, Kenya. 2 Department of Mathematics, Pan African University Institute of Basic Sciences Technology and Innovations ...
Nature

A text classification method by integrating mobile inverted residual bottleneck convolution networks and capsule networks with adaptive feature channels

The rapid development of the Internet has generated a vast amount of textual data, including web pages, news articles, papers, e-books, chat content, emails, and user comments. The challenge of ...
Visual Studio Magazine

Binary Classification Using LightGBM

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 ...
Visual Studio Magazine

Binary Classification Using a scikit Neural Network

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 ...
Nature

Review of some existing QML frameworks and novel hybrid classical–quantum neural networks realising binary classification for the noisy datasets

One of the most promising areas of research to obtain practical advantage is Quantum Machine Learning which was born as a result of cross-fertilisation of ideas between Quantum Computing and Classical ...
GitHub

classification_with_tfdf.py

Description: Using TensorFlow Decision Forests for structured data classification. that are compatible with Keras APIs. The models include [Random Forests](https ...
Frontiers

Convolutional Neural Network for Skin Lesion Classification: Understanding the Fundamentals Through Hands-On Learning

Deep learning architectures for the classification of images have shown outstanding results in a variety of disciplines, including dermatology. The expectations generated by deep learning for, e.g., ...