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researcher

A. Alonso-Betanzos

10 papers hereh-index 151k citations83 works total

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

author position
  • middle author9
  • last author1

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • cs.AI1
  • cs.CL1
  • cs.CV1
  • cs.IR1

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedSustainable transparency in Recommender Systems: Bayesian Ranking of Images for Explainability

9 citations · 11 across the 10 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

cs.LG2024

Sustainable techniques to improve Data Quality for training image-based explanatory models for Recommender Systems

Jorge Paz-Ruza, David Esteban-Martínez, Amparo Alonso-Betanzos +1

Visual explanations based on user-uploaded images are an effective and self-contained approach to provide transparency to Recommender Systems (RS), but intrinsic limitations of dat…

cs.LG2024★ 1 cited

Positive-Unlabelled Learning for identifying new candidate Dietary Restriction-related genes among Ageing-related genes

Jorge Paz-Ruza, Alex A. Freitas, Amparo Alonso-Betanzos +1

Dietary Restriction (DR) is one of the most popular anti-ageing interventions; recently, Machine Learning (ML) has been explored to identify potential DR-related genes among ageing…

cs.LG2024★ 1 cited

Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models

Jorge Paz-Ruza, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas +2

Dyadic regression models, which output real-valued predictions for pairs of entities, are fundamental in many domains (e.g. obtaining user-product ratings in Recommender Systems) a…

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