Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
IEEE

SMOTEHashBoost: Ensemble Algorithm for Imbalanced Dataset Pattern Classification

Abstract: Class imbalance occurs frequently in machine learning, particularly in binary classification tasks where the majority class has a significantly larger number of samples than the minority ...
Scientific Research Publishing

Performance of Different Machine Learning Algorithms for Credit Risk Classification ()

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
Marine Link

Algorithm Accountability

When the maritime trade union Nautilus International asked memberswhat they thought of AI at a forum in January, there was some positive sentiment: “We shouldn’t automatically assume there will be ...
Healio

Real-world dermatology dataset reveals flaws of some AI diagnostic algorithms

Please provide your email address to receive an email when new articles are posted on . AI algorithms to diagnose skin cancer had lower sensitivity and specificity when tested on a multimodal, ...
Frontiers

Dynamic and static integrated classification model of gas well based on XGBoost algorithm—an example from block S of Sulige tight sandstone gas field

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...
Frontiers

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
Scientific Research Publishing

Dynamic Classification Using the Adaptive Competitive Algorithm for Breast Cancer Detection ()

Breast cancer remains one of the most prevalent diseases that affect women worldwide. Making an early and accurate diagnosis is essential for effective treatment. Machine learning (ML) techniques have ...