76 citations · 619 across the 31 of their papers we have counts for
5 papers · 1 filter
Towards green AI-based software systems: an architecture-centric approach (GAISSA)
Silverio Martínez-Fernández, Xavier Franch, Francisco Durán
Nowadays, AI-based systems have achieved outstanding results and have outperformed humans in different domains. However, the processes of training AI models and inferring from them…
Estimating Deep Learning energy consumption based on model architecture and training environment
Santiago del Rey, Luís Cruz, Xavier Franch +1
To raise awareness of the environmental impact of deep learning (DL), many studies estimate the energy use of DL systems. However, energy estimates during DL training often rely on…
Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining Study
Joel Castaño, Silverio Martínez-Fernández, Xavier Franch +1
The rise of machine learning (ML) systems has exacerbated their carbon footprint due to increased capabilities and model sizes. However, there is scarce knowledge on how the carbon…
Replication in Requirements Engineering: the NLP for RE Case
Sallam Abualhaija, F. BaŞAk Aydemir, Fabiano Dalpiaz +4
[Context]} Natural language processing (NLP) techniques have been widely applied in the requirements engineering (RE) field to support tasks such as classification and ambiguity de…
Energy Efficiency of Training Neural Network Architectures: An Empirical Study
Yinlena Xu, Silverio Martínez-Fernández, Matias Martinez +1
The evaluation of Deep Learning models has traditionally focused on criteria such as accuracy, F1 score, and related measures. The increasing availability of high computational pow…