activity
20162026
most citedThe Forgotten Margins of AI Ethics

123 citations · 180 across the 9 of their papers we have counts for

collaborators

11 papers

cs.SE2026★ 10 cited

Improving Mobile User Interface Testing with Model Driven Monkey Search

Jordan Doyle, Takfarinas Saber, Paolo Arcaini +1

Testing mobile applications often relies on tools, such as Exerciser Monkey for Android systems, that simulate user input. Exerciser Monkey, for example, generates random events (e…

cs.SE2026

PADRAIG: Precise Android Automated Input Generation

Jordan Doyle, Thomas Laurent, Anthony Ventresque

Android automated test input generation has been a highly researched topic for over a decade and has shown promising results with a variety of approaches. Random input generation i…

cs.SE2026★ 2 cited

Modelling Android applications through static analysis and systematic exploratory testing

Jordan Doyle, Thomas Laurent, Anthony Ventresque

Mobile application development is a fast paced industry with frequent releases. While the development pace increases, so too does the need for automated test generation. Model-base…

cs.SE2025★ 4 cited

Metamorphic Testing for Pose Estimation Systems

Matias Duran, Thomas Laurent, Ellen Rushe +1

Pose estimation systems are used in a variety of fields, from sports analytics to livestock care. Given their potential impact, it is paramount to systematically test their behavio…

cs.CV2023

What's left can't be right -- The remaining positional incompetence of contrastive vision-language models

Nils Hoehing, Ellen Rushe, Anthony Ventresque

Contrastive vision-language models like CLIP have been found to lack spatial understanding capabilities. In this paper we discuss the possible causes of this phenomenon by analysin…

cs.CV2023★ 5 cited

Towards the extraction of robust sign embeddings for low resource sign language recognition

Mathieu De Coster, Ellen Rushe, Ruth Holmes +2

Isolated Sign Language Recognition (SLR) has mostly been applied on datasets containing signs executed slowly and clearly by a limited group of signers. In real-world scenarios, ho…

cs.CY2022★ 123 cited

The Forgotten Margins of AI Ethics

Abeba Birhane, Elayne Ruane, Thomas Laurent +4

How has recent AI Ethics literature addressed topics such as fairness and justice in the context of continued social and structural power asymmetries? We trace both the historical…

cs.AI2021★ 19 cited

MILP for the Multi-objective VM Reassignment Problem

Takfarinas Saber, Anthony Ventresque, Joao Marques-Silva +2

Machine Reassignment is a challenging problem for constraint programming (CP) and mixed-integer linear programming (MILP) approaches, especially given the size of data centres. The…

cs.SE2019★ 17 cited

A Mutation-based Approach for Assessing Weight Coverage of a Path Planner

Thomas Laurent, Paolo Arcaini, Fuyuki Ishikawa +1

Autonomous cars are subjected to several different kind of inputs (other cars, road structure, etc.) and, therefore, testing the car under all possible conditions is impossible. To…

cs.SE2019

Learning Software Configuration Spaces: A Systematic Literature Review

Juliana Alves Pereira, Hugo Martin, Mathieu Acher +3

Most modern software systems (operating systems like Linux or Android, Web browsers like Firefox or Chrome, video encoders like ffmpeg, x264 or VLC, mobile and cloud applications,…

cs.SE2016

Assessing and Improving the Mutation Testing Practice of PIT

Thomas Laurent, Anthony Ventresque, Mike Papadakis +2

Mutation testing is used extensively to support the experimentation of software engineering studies. Its application to real-world projects is possible thanks to modern tools that…