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researcher

M. Luján

9 papers hereh-index 304.5k citations212 works total

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

author position
  • middle author3
  • last author6

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.DC2
  • cs.PF2
  • cs.RO2
  • cs.CV1
  • cs.DB1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20162021
most citedCan the Optimizer Cost be Used to Predict Query Execution Times?

2 citations · 3 across the 3 of their papers we have counts for

collaborators
Showing cs.PFShow all

2 papers · 1 filter

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.