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20142026
most citedTowards a Comprehensive Human-Centred Evaluation Framework for Explainable AI

15 citations · 106 across the 18 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.CL2020★ 1 cited

Neural language models for text classification in evidence-based medicine

Andres Carvallo, Denis Parra, Gabriel Rada +3

The COVID-19 has brought about a significant challenge to the whole of humanity, but with a special burden upon the medical community. Clinicians must keep updated continuously abo…

cs.CL2020★ 2 cited

Inspecting state of the art performance and NLP metrics in image-based medical report generation

Pablo Pino, Denis Parra, Pablo Messina +2

Several deep learning architectures have been proposed over the last years to deal with the problem of generating a written report given an imaging exam as input. Most works evalua…

cs.IR2020★ 7 cited

CuratorNet: Visually-aware Recommendation of Art Images

Pablo Messina, Manuel Cartagena, Patricio Cerda-Mardini +2

Although there are several visually-aware recommendation models in domains like fashion or even movies, the art domain lacks thesame level of research attention, despite the recent…

cs.IR2020★ 2 cited

Scalable Recommendation of Wikipedia Articles to Editors Using Representation Learning

Oleksii Moskalenko, Denis Parra, Diego Saez-Trumper

Wikipedia is edited by volunteer editors around the world. Considering the large amount of existing content (e.g. over 5M articles in English Wikipedia), deciding what to edit next…

cs.IR2020★ 13 cited

Interpretable Contextual Team-aware Item Recommendation: Application in Multiplayer Online Battle Arena Games

Andrés Villa, Vladimir Araujo, Francisca Cattan +1

The video game industry has adopted recommendation systems to boost users interest with a focus on game sales. Other exciting applications within video games are those that help th…

cs.CL2020★ 10 cited

On Adversarial Examples for Biomedical NLP Tasks

Vladimir Araujo, Andres Carvallo, Carlos Aspillaga +1

The success of pre-trained word embeddings has motivated its use in tasks in the biomedical domain. The BERT language model has shown remarkable results on standard performance met…