GitHub

the Python library for sensible AI

sensAI is a high-level AI toolkit with a specific focus on rapid experimentation for machine learning applications. Through high levels of abstraction and integration, sensAI minimises overhead whilst ...
IEEE

Optimized Breast Cancer Classification Using PCA-LASSO Feature Selection and Ensemble Learning Strategies With Optuna Optimization

Abstract: Breast cancer is one of the most prevalent and life-threatening diseases among women worldwide, making early and accurate detection crucial for effective treatment. This study presents a ...
GitHub

Optuna Examples

This page contains a list of example codes written with Optuna. If you are interested in a quick start of Optuna Dashboard with in-memory storage, please take a look at this example. Objective ...
IEEE

IEEE Communications Surveys and Tutorials

Abstract: I welcome you to the fourth issue of the IEEE Communications Surveys and Tutorials in 2021. This issue includes 23 papers covering different aspects of communication networks. In particular, ...
Frontiers

Advanced hyperspectral image processing and machine learning approaches for early detection of wheat stem rust

1 Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia 2 All-Russian Institute of Plant Protection, Saint Petersburg, Russia However, despite rapid methodological advances, ...
marktechpost

Artificial Intelligence

In this tutorial, we demonstrate how to build a unified Apache Beam pipeline that works seamlessly in both batch and stream-like modes using the ...
C&EN

Large-Scale Modeling of Sparse Protein Kinase Activity Data

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C&EN

Integrating Incompatible Assay Data Sets with Deep Preference Learning

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