activity
20182026
most citedKeeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting

91 citations · 211 across the 29 of their papers we have counts for

collaborators
Showing 2021Show all

5 papers · 1 filter

cs.LG2021

Applications of Generative Adversarial Networks in Anomaly Detection: A Systematic Literature Review

Mikael Sabuhi, Ming Zhou, Cor-Paul Bezemer +1

Anomaly detection has become an indispensable tool for modern society, applied in a wide range of applications, from detecting fraudulent transactions to malignant brain tumours. O…

cs.SE2021

Identifying Similar Test Cases That Are Specified in Natural Language

Markos Viggiato, Dale Paas, Chris Buzon +1

Software testing is still a manual process in many industries, despite the recent improvements in automated testing techniques. As a result, test cases are often specified in natur…

cs.DC2021

A Case Study on the Stability of Performance Tests for Serverless Applications

Simon Eismann, Diego Elias Costa, Lizhi Liao +4

Context. While in serverless computing, application resource management and operational concerns are generally delegated to the cloud provider, ensuring that serverless application…

cs.SE2021★ 24 cited

An Empirical Study of the Characteristics of Popular Minecraft Mods

Daniel Lee, Gopi Krishnan Rajbahadur, Dayi Lin +3

It is becoming increasingly difficult for game developers to manage the cost of developing a game, while meeting the high expectations of gamers. One way to balance the increasing…

cs.SE2021★ 27 cited

Building the perfect game -- an empirical study of game modifications

Daniel Lee, Dayi Lin, Cor-Paul Bezemer +1

Game developers cannot always meet the growing and changing needs of the gaming community, due to the often already overloaded schedules of developers. So-called modders can potent…