We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

This is crucial, especially for data mesh, where everyone becomes a data user, and metadata, where everyone should access data knowledge. Without an anthropological and psychological perspective on ...

IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

Cape Town based candidates only. The Senior Data Scientist will be responsible for developing, validating, and operationalizing advanced machine learning and AI models that support strategic business ...

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Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...

The objective of this work is to determine the true owner of a land—public or private—in the region of Kumasi (Ghana). For this purpose, we applied different machine learning methods to the ZEF ...

1 Department of Economics, Texas A&M University, College Station, TX, USA. 2 School of Business, Wake Forest University, Winston-Salem, NC, USA. 3 School of Business, University of Wisconsin-Madison, ...

Abstract: This paper presents the application of the Classification Learner MATLAB tool from the Statistics and Machine Learning Toolbox for the classification process in a fingerprint recognition ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...