In the last two decades, mass digitization has dramatically changed the landscape of scholarly research. The ability to ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

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 ...

Ensemble learning is an imperative study in the domain of machine learning. Over the previous years, ensemble learning has drawn considerable attention in the field of artificial intelligence, pattern ...

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

Feature selection or attribute reduction is an important data preprocessing technique for dimensionality reduction in machine learning and data mining. In this paper, a novel feature selection ...