Genetic programming (GP) has emerged as a potent evolutionary methodology for autonomously designing image classifiers and extracting relevant features. Its capacity to evolve interpretable models by ...

Abstract: New classification algorithm for multi-image classification in genetic programming (GP) is introduced, which includes algorithm of centered dynamic range selection with the power value of ...

Abstract: Fish image classification is a very important part of intelligent aquaculture development. However, fish image classification is challenging due to large intra-class variation and high inter ...

SEATTLE--(BUSINESS WIRE)--Fabric Genomics will launch a new solution this week for variant interpretation and clinical reporting, allowing clinical laboratories to dramatically accelerate turnaround ...

The method of Pareto dominance is increasingly being used within the context of coevolutionary approaches to Genetic Programming (GP). GP is a machine learning approach based on a neo-Darwinian ...

Genetic variation is the foundation of human diversity, enabling differences in traits such as height, eye color, or blood type. Some sequence variants also cause inherited diseases, including sickle ...

I used to to write short stories for awhile after college, and big surprise, they were all of the "science fiction" variety. In one of them, I opened with a bearded man on the cover of Time magazine ...

Filomat, Vol. 30, No. 3, International Conference on Recent Advances in Pure and Applied Mathematics 2015, ICRAPAM 2015 (2016), pp. 547-556 (10 pages) Abstract. Breast Cancer (BC) is considered as the ...

The genetic confirmation of a suspected diagnosis of "hereditary colorectal cancer" is of great importance for the medical care of affected families. However, many of the variants identified in the ...