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J. L. Alba-Castro

5 papers hereh-index 201.4k citations97 works total

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

author position
  • middle author1
  • last author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedShedding Light on the Asymmetric Learning Capability of AdaBoost

33 citations · 48 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2019

Generalized Presentation Attack Detection: a face anti-spoofing evaluation proposal

Artur Costa-Pazo, David Jimenez-Cabello, Esteban Vazquez-Fernandez +2

Over the past few years, Presentation Attack Detection (PAD) has become a fundamental part of facial recognition systems. Although much effort has been devoted to anti-spoofing res…

cs.CV2015★ 15 cited

Double-Base Asymmetric AdaBoost

Iago Landesa-Vázquez, José Luis Alba-Castro

Based on the use of different exponential bases to define class-dependent error bounds, a new and highly efficient asymmetric boosting scheme, coined as AdaBoostDB (Double-Base), i…

cs.CV2015

Untangling AdaBoost-based Cost-Sensitive Classification. Part II: Empirical Analysis

Iago Landesa-Vázquez, José Luis Alba-Castro

A lot of approaches, each following a different strategy, have been proposed in the literature to provide AdaBoost with cost-sensitive properties. In the first part of this series…

cs.CV2015

Untangling AdaBoost-based Cost-Sensitive Classification. Part I: Theoretical Perspective

Iago Landesa-Vázquez, José Luis Alba-Castro

Boosting algorithms have been widely used to tackle a plethora of problems. In the last few years, a lot of approaches have been proposed to provide standard AdaBoost with cost-sen…

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