In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology ...

In an era where AI decides which brands get surfaced, summarized or cited, the question isn't "How can I rank higher?" It is ...

Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...

Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

A new approach to financial risk management combines ensemble machine learning algorithms with traditional financial theory to enhance systemic risk prediction. By integrating data-driven modeling ...

Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new developments for machine learning algorithms.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

This study examines the prediction accuracy of ensemble machine learning models by comparing local and global precision, recall, and accuracy for multiclass grading of engineering students. It also ...