Machine Learning

Research

Machine Learning

IEO: Intelligent Evolutionary Optimisation for Hyperparameter Tuning

In this paper, we introduce an intelligent evolutionary optimisation algorithm which applies machine learning technique to the traditional evolutionary algorithm to accelerate the overall optimisation process of tuning machine learning models in classification problems.


Yuxi Huan, Fan Wu, Michail Basios, Leslie Kanthan, Lingbo Li, Baowen Xu, 2020


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Research

Machine Learning

Better Model Selection with a new Definition of Feature Importance

In this paper, we propose a new tree-model explanation approach for model selection.


Fan Fang, Carmine Ventre, Lingbo Li, Leslie Kanthan, Fan Wu, Michail Basios, 2020


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Research

Machine Learning, Trading

Ascertaining price formation in cryptocurrency markets with machine learning

In this work, we analyze and present the characteristics of the cryptocurrency market in a high-frequency setting.


Fan Fang, Waichung Chung, Carmine Ventre, Michail Basios, Leslie Kanthan, Lingbo Li & Fan Wud Turing, 2021


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ARTICLE

SEAMS

Genetic improvement for adaptive software engineering (keynote)

This paper presents a brief outline of an approach to online genetic improvement. We illustrate our proposed approach with a ‘dreaming smart device’ example that combines online and offline machine learning and optimisation.


Mark Harman, Yue Jia, William B. Langdon, Justyna Petke, Iman Hemati Moghadam, Shin Yoo, Fan Wu, 2014


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