2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.SE2024
PairSmell: A Novel Perspective Inspecting Software Modular Structure
Chenxing Zhong, Daniel Feitosa, Paris Avgeriou +3
Enhancing the modular structure of existing systems has attracted substantial research interest, focusing on two main methods: (1) software modularization and (2) identifying desig…
cs.LG2023
Batching for Green AI -- An Exploratory Study on Inference
Tim Yarally, Luís Cruz, Daniel Feitosa +2
The batch size is an essential parameter to tune during the development of new neural networks. Amongst other quality indicators, it has a large degree of influence on the model's…
cs.LG2023★ 2 cited
Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI
Tim Yarally, Luís Cruz, Daniel Feitosa +2
Modern AI practices all strive towards the same goal: better results. In the context of deep learning, the term "results" often refers to the achieved accuracy on a competitive pro…