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Ramsés J. Sánchez

Competence Center Machine Learning Rhine-Ruhr ML2R

4 papers hereh-index 8157 citations23 works total

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CL1
  • stat.ML1
affiliations
  • Competence Center Machine Learning Rhine-Ruhr ML2R
  • University of Bonn
Homepage
same name
  • Ramsés J. Sánchez — 2 papers

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
20192022
most citedRecurrent Point Processes for Dynamic Review Models

3 citations · 6 across the 4 of their papers we have counts for

collaborators

3 papers

cs.LG2020★ 2 cited

Recurrent Point Review Models

Kostadin Cvejoski, Ramses J. Sanchez, Bogdan Georgiev +2

Deep neural network models represent the state-of-the-art methodologies for natural language processing. Here we build on top of these methodologies to incorporate temporal informa…

cs.LG2020★ 3 cited

Recurrent Point Processes for Dynamic Review Models

Kostadin Cvejoski, Ramses J. Sanchez, Bogdan Georgiev +3

Recent progress in recommender system research has shown the importance of including temporal representations to improve interpretability and performance. Here, we incorporate temp…

stat.ML2019

Recurrent Adversarial Service Times

César Ojeda, Kostadin Cvejosky, Ramsés J. Sánchez +3

Service system dynamics occur at the interplay between customer behaviour and a service provider's response. This kind of dynamics can effectively be modeled within the framework o…

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