19 citations · 37 across the 4 of their papers we have counts for
4 papers
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…
AudRandAug: Random Image Augmentations for Audio Classification
Teerath Kumar, Muhammad Turab, Alessandra Mileo +2
Data augmentation has proven to be effective in training neural networks. Recently, a method called RandAug was proposed, randomly selecting data augmentation techniques from a pre…
Investigating Multi-Feature Selection and Ensembling for Audio Classification
Muhammad Turab, Teerath Kumar, Malika Bendechache +1
Deep Learning (DL) algorithms have shown impressive performance in diverse domains. Among them, audio has attracted many researchers over the last couple of decades due to some int…
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…