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researcher

Luis Miralles-Pechuán

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.GT1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedA Deep Q-learning/genetic Algorithms Based Novel Methodology For Optimizing Covid-19 Pandemic Government Actions

7 citations · 7 across the 1 of their papers we have counts for

collaborators

2 papers

cs.GT2020

A novel auction system for selecting advertisements in Real-Time bidding

Luis Miralles-Pechuán, Fernando Jiménez, José Manuel García

Real-Time Bidding is a new Internet advertising system that has become very popular in recent years. This system works like a global auction where advertisers bid to display their…

cs.LG2020★ 7 cited

A Deep Q-learning/genetic Algorithms Based Novel Methodology For Optimizing Covid-19 Pandemic Government Actions

Luis Miralles-Pechuán, Fernando Jiménez, Hiram Ponce +1

Whenever countries are threatened by a pandemic, as is the case with the COVID-19 virus, governments should take the right actions to safeguard public health as well as to mitigate…

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