activity
20222025
most citedData-Centric Green AI: An Exploratory Empirical Study

88 citations · 135 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2025★ 1 cited

Sustainable Machine Learning Retraining: Optimizing Energy Efficiency Without Compromising Accuracy

Lorena Poenaru-Olaru, June Sallou, Luis Cruz +2

The reliability of machine learning (ML) software systems is heavily influenced by changes in data over time. For that reason, ML systems require regular maintenance, typically bas…

cs.SE2025★ 9 cited

Greening AI-enabled Systems with Software Engineering: A Research Agenda for Environmentally Sustainable AI Practices

Luís Cruz, João Paulo Fernandes, Maja H. Kirkeby +22

The environmental impact of Artificial Intelligence (AI)-enabled systems is increasing rapidly, and software engineering plays a critical role in developing sustainable solutions.…

cs.AI2023

The Two Faces of AI in Green Mobile Computing: A Literature Review

Wander Siemers, June Sallou, Luís Cruz

Artificial intelligence is bringing ever new functionalities to the realm of mobile devices that are now considered essential (e.g., camera and voice assistants, recommender system…

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…

cs.AI2023★ 35 cited

A Systematic Review of Green AI

Roberto Verdecchia, June Sallou, Luís Cruz

With the ever-growing adoption of AI-based systems, the carbon footprint of AI is no longer negligible. AI researchers and practitioners are therefore urged to hold themselves acco…

cs.LG2022★ 88 cited

Data-Centric Green AI: An Exploratory Empirical Study

Roberto Verdecchia, Luís Cruz, June Sallou +3

With the growing availability of large-scale datasets, and the popularization of affordable storage and computational capabilities, the energy consumed by AI is becoming a growing…