IEEE

A Low-Power Analog Integrated Decision Tree Classifier Architecture for Apnea-Ecg Detection

Abstract: This work presents a low-power analog integrated decision tree classifier for real-time Apnea-Ecg detection. The design achieves exceptionally low power consumption of 891 nW and a ...
IEEE

Comparing Decision Tree Algorithms for Business Classification Problems – A Systematic Literature Review

Abstract: Because of their transparency, interpretability, and efficiency in classification tasks, decision tree algorithms are the foundation of many Business Intelligence (BI) and Analytics ...
Frontiers

Classification of angioedema types using decision tree modeling

Introduction: All angioedema (AE) presents with transient, localized swelling; however, the underlying causes, prognosis, and treatments vary significantly. Consequently, identifying a specific AE ...
Microsoft

Decision Trees with Short Explainable Rules

There is indeed a vast literature on the design and analysis of decision tree algorithms that aim at optimizing these parameters. This paper contributes to this important line of research: we propose ...