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Found 5 papers, 2 papers with code
Metaheuristic Algorithms in Artificial Intelligence with Applications to Bioinformatics, Biostatistics, Ecology and, the Manufacturing Industries
Nature-inspired metaheuristic algorithms are important components of artificial intelligence, and are increasingly used across disciplines to tackle various types of challenging optimization problems.
Trajectory-aware Principal Manifold Framework for Data Augmentation and Image Generation
Many existing methods generate new samples from a parametric distribution, like the Gaussian, with little attention to generate samples along the data manifold in either the input or feature space.
Dual Path Structural Contrastive Embeddings for Learning Novel Objects
Learning novel classes from a very few labeled samples has attracted increasing attention in machine learning areas.
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic
In the era of big data, standard analysis tools may be inadequate for making inference and there is a growing need for more efficient and innovative ways to collect, process, analyze and interpret the massive and complex data.
Particle swarm optimization in constrained maximum likelihood estimation a case study
The aim of paper is to apply two types of particle swarm optimization, global best andlocal best PSO to a constrained maximum likelihood estimation problem in pseudotime anal-ysis, a sub-field in bioinformatics.
