activity
20192022
most citedBetter Model Selection with a new Definition of Feature Importance

3 citations · 7 across the 4 of their papers we have counts for

collaborators

6 papers

cs.SE2022

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…

cs.LG20211 cited

Real-time Detection of Practical Universal Adversarial Perturbations

Kenneth T. Co, Luis Muñoz-González, Leslie Kanthan +1

Universal Adversarial Perturbations (UAPs) are a prominent class of adversarial examples that exploit the systemic vulnerabilities and enable physically realizable and robust attac…

stat.ML20203 cited

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…

cs.LG20203 cited

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…

q-fin.GN2020

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,…

math.PR2019

Revisiting Feller Diffusion: Derivation and Simulation

Ranjiva Munasinghe, Leslie Kanthan, Pathum Kossinna

We propose a simpler derivation of the probability density function of Feller Diffusion using the Fourier Transform and solving the resulting equation via the Method of Characteris…