This paper reviews the existing literature on the combination of metaheuristics with machine
learning methods and then introduces the concept of learnheuristics, a novel type of hybrid …

Automated textual analysis of firm-related documents has become an important decision
support tool for stock market investors. Previous studies tended to adopt either dictionary …

Combination of meta-heuristics approaches and machine learning techniques have
revolutionized the field of Internet of Things (IoT) based smart monitoring applications …

The current technological world is growing rapidly and each aspect of life is being
transformed toward automation for human comfort and reliability. With autonomous vehicle …

As a widely-used method in the image categorization tasks, the Bag-of-Words (BoW) method
still suffers from many limitations such as overlooking spatial information. In this paper, we …

In bag-of-visual words (BoVW), a weighting scheme is applied to improve the discriminative
power of visual words, which affect the performance of image classification. However, the …

The idea of hybrid approaches have become a powerful strategy for tackling several
complex optimisation problems. In this regard, the present work is concerned with …

In the big data era, massive amount of multimedia data with geo-tags has been generated
and collected by smart devices equipped with mobile communications module and position …

现有的细粒度分类模型不仅利用图像的类别标签, 还使用大量人工标注的额外信息.
为解决该问题, 本文提出一种深度迁移学习模型, 将大规模有标签细粒度数据集上学习到的图像 …

Clouds play an important role in modulating radiation processes and climate changes in the
Earth's atmosphere. Currently, measurement of meteorological elements such as …