35 citations · 40 across the 10 of their papers we have counts for
4 papers · 1 filter
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…
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…
Are Concept Drift Detectors Reliable Alarming Systems? -- A Comparative Study
Lorena Poenaru-Olaru, Luis Cruz, Arie van Deursen +1
As machine learning models increasingly replace traditional business logic in the production system, their lifecycle management is becoming a significant concern. Once deployed int…
Systematic Mapping Study on the Machine Learning Lifecycle
Yuanhao Xie, Luís Cruz, Petra Heck +1
The development of artificial intelligence (AI) has made various industries eager to explore the benefits of AI. There is an increasing amount of research surrounding AI, most of w…