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Roberto Santana

University of the Basque Country (UPV/EHU)

21 papers hereh-index 283.6k citations201 works total

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

author position
  • sole author2
  • first author4
  • middle author10
  • last author5

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • cs.LG9
  • cs.NE5
  • cs.CL2
  • cond-mat.dis-nn1
  • cs.AI1
  • cs.CV1
affiliations
  • University of the Basque Country (UPV/EHU)
Homepage
same name
  • Roberto Santana — 4 papers, h 2
  • Roberto Santana — 3 papers, h 1
  • Roberto Santana — 2 papers, h 1
  • Roberto Santana — 1 paper, h 1
  • Roberto Santana — 1 paper, h 5
  • Roberto Santana — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142023
most citedWhen and How to Fool Explainable Models (and Humans) with Adversarial Examples

28 citations · 91 across the 19 of their papers we have counts for

collaborators
Showing 2017Show all

3 papers · 1 filter

cs.NE2017★ 9 cited

Gray-box optimization and factorized distribution algorithms: where two worlds collide

Roberto Santana

The concept of gray-box optimization, in juxtaposition to black-box optimization, revolves about the idea of exploiting the problem structure to implement more efficient evolutiona…

cs.LG2017★ 10 cited

Evolving imputation strategies for missing data in classification problems with TPOT

Unai Garciarena, Roberto Santana, Alexander Mendiburu

Missing data has a ubiquitous presence in real-life applications of machine learning techniques. Imputation methods are algorithms conceived for restoring missing values in the dat…

cs.CL2017★ 3 cited

Reproducing and learning new algebraic operations on word embeddings using genetic programming

Roberto Santana

Word-vector representations associate a high dimensional real-vector to every word from a corpus. Recently, neural-network based methods have been proposed for learning this repres…

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