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researcher

Crefeda Faviola Rodrigues

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.PF2

identity via Semantic Scholar / OpenAlex

most citedEnergy Predictive Models for Convolutional Neural Networks on Mobile Platforms

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

cs.PF2020★ 1 cited

Energy Predictive Models for Convolutional Neural Networks on Mobile Platforms

Crefeda Faviola Rodrigues, Graham Riley, Mikel Lujan

Energy use is a key concern when deploying deep learning models on mobile and embedded platforms. Current studies develop energy predictive models based on application-level featur…

cs.PF2018

Fine-Grained Energy and Performance Profiling framework for Deep Convolutional Neural Networks

Crefeda Faviola Rodrigues, Graham Riley, Mikel Lujan

There is a huge demand for on-device execution of deep learning algorithms on mobile and embedded platforms. These devices present constraints on the application due to limited res…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.