Abstract: This paper presents a computational framework that combines supervised machine learning and multi-objective optimization to support data-driven decision-making for resource allocation in ...

Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and adjust goals even in the face of sudden changes. However, "model-free ...

Abstract: The objective of this paper is to implement a set of Neural Networks (NN) for the detection and recognition of handwritten digit characters. This paper is based on the Modified National ...

Current methods to generate haplotype-resolved assemblies for highly heterozygous genomes suffer from reference bias or may generate imbalanced haplomes. Here, the authors present the PhaseGrass ...