The Banker

Banks and regulators clash over ‘black box’ AI credit risk

Earlier this year when a UK Treasury Committee released a report warning that regulators’ complacency on AI in financial ...
Phys.org

Machine learning tool pinpoints optimal locations for tree planting, offering a powerful tool for climate mitigation

Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one of the nature-based and cost-effective solutions for climate change ...
Visual Studio Magazine

Decision Tree Regression from Scratch Using JavaScript

Decision tree regression is a fundamental machine learning technique to predict a single numeric value. A decision tree regression system incorporates a set of virtual if-then rules to make a ...
Nature

Interpretable machine learning based decision tree model for predicting obstructive airway disease in a large non-smoking health screening population

Obstructive airway disease is defined by reduced FEV₁ and an FEV₁/FVC ratio below 70%. While pulmonary function testing is essential, few studies have used demographic, biochemical, and lifestyle data ...
LinkedIn

A Complete Guide to Decision Tree Algorithm

Even though it’s called a "tree," we usually draw it upside down. Here are the simple parts that make up the tree: Let's say we want to train a machine learning model to predict whether you will go ...
IEEE

MOCT: A Multi-Class Oblique Tree Algorithm for Synergistic Drug Combination Prediction

Abstract: Machine learning has been successfully applied to drug combination prediction in recent years. However, in some situations, the class imbalance problem still shows highly negative impacts on ...
Visual Studio Magazine

Decision Tree Regression from Scratch Without Pointers or Recursion Using C#

A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...
Frontiers

Editorial: Machine learning algorithms for brain imaging: new frontiers in neurodiagnostics and treatment

The field of neuroimaging has undergone profound transformation in recent years, driven primarily by rapid advances in machine learning (ML), and especially deep learning (DL), techniques. These ...
IEEE

An Adaptive Framework for Low-Rate DDoS Detection in Cloud Environments Using Decision Tree Machine Learning Algorithm

Abstract: An adaptive detection framework to identify low-rate Distributed Denial of Service (DDoS) attacks in cloud environments. Leveraging the Decision Tree machine learning algorithm, the ...
Frontiers

Clinical decision system for renal cell carcinoma integrating interpretable machine learning algorithms

Kidney cancer is a highly heterogeneous oncologic disease with historically poor prognosis. Precise assessment of the risk of distal metastasis can facilitate risk stratification and improve prognosis ...
Nature

Decision tree-based machine learning methods for identifying colorectal cancer-associated microRNA signatures and their regulatory networks

This study aimed to identify candidate diagnostic miRNAs from the serum of colorectal cancer (CRC) patients using Boruta, a wrapper-based feature selection technique, in combination with decision tree ...