31 citations · 55 across the 7 of their papers we have counts for
7 papers
evoML Yellow Paper: Evolutionary AI and Optimisation Studio
Lingbo Li, Leslie Kanthan, Michail Basios +10
Machine learning model development and optimisation can be a rather cumbersome and resource-intensive process. Custom models are often more difficult to build and deploy, and they…
Clone Detection on Large Scala Codebases
Wahidur Rahman, Yisen Xu, Fan Pu +7
Code clones are identical or similar code segments. The wide existence of code clones can increase the cost of maintenance and jeopardise the quality of software. The research comm…
Better Model Selection with a new Definition of Feature Importance
Fan Fang, Carmine Ventre, Lingbo Li +3
Feature importance aims at measuring how crucial each input feature is for model prediction. It is widely used in feature engineering, model selection and explainable artificial in…
IEO: Intelligent Evolutionary Optimisation for Hyperparameter Tuning
Yuxi Huan, Fan Wu, Michail Basios +3
Hyperparameter optimisation is a crucial process in searching the optimal machine learning model. The efficiency of finding the optimal hyperparameter settings has been a big conce…
Cryptocurrency Trading: A Comprehensive Survey
Fan Fang, Carmine Ventre, Michail Basios +4
In recent years, the tendency of the number of financial institutions including cryptocurrencies in their portfolios has accelerated. Cryptocurrencies are the first pure digital as…
Ascertaining price formation in cryptocurrency markets with DeepLearning
Fan Fang, Waichung Chung, Carmine Ventre +4
The cryptocurrency market is amongst the fastest-growing of all the financial markets in the world. Unlike traditional markets, such as equities, foreign exchange and commodities,…
Darwinian Data Structure Selection
Michail Basios, Lingbo Li, Fan Wu +2
Data structure selection and tuning is laborious but can vastly improve an application's performance and memory footprint. Some data structures share a common interface and enjoy m…