Search Results for author: Denis Parra

Found 17 papers, 7 papers with code

Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI

no code implementations31 Jul 2023 Ivania Donoso-Guzmán, Jeroen Ooge, Denis Parra, Katrien Verbert

While research on explainable AI (XAI) is booming and explanation techniques have proven promising in many application domains, standardised human-centred evaluation procedures are still missing.

Recommendation Systems

Stress Test Evaluation of Biomedical Word Embeddings

1 code implementation NAACL (BioNLP) 2021 Vladimir Araujo, Andrés Carvallo, Carlos Aspillaga, Camilo Thorne, Denis Parra

The success of pretrained word embeddings has motivated their use in the biomedical domain, with contextualized embeddings yielding remarkable results in several biomedical NLP tasks.

named-entity-recognition Named Entity Recognition +2

Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations

no code implementations7 Jul 2021 Iván Cantador, Andrés Carvallo, Fernando Diez, Denis Parra

Furthermore, we also provide examples of the applicability of recommendations utilizing aspect opinions as explanations in a visualization dashboard, which allows obtaining information about the most and least liked aspects of similar users obtained from the embeddings of an input graph.

Graph Embedding Information Retrieval +2

AHMoSe: A Knowledge-Based Visual Support System for Selecting Regression Machine Learning Models

no code implementations28 Jan 2021 Diego Rojo, Nyi Nyi Htun, Denis Parra, Robin De Croon, Katrien Verbert

To validate AHMoSe, we describe a use case scenario in the viticulture domain, grape quality prediction, where the system enables users to diagnose and select prediction models that perform better.

BIG-bench Machine Learning Decision Making +2

Neural language models for text classification in evidence-based medicine

no code implementations1 Dec 2020 Andres Carvallo, Denis Parra, Gabriel Rada, Daniel Perez, Juan Ignacio Vasquez, Camilo Vergara

The COVID-19 has brought about a significant challenge to the whole of humanity, but with a special burden upon the medical community.

General Classification Language Modelling +2

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

1 code implementation18 Nov 2020 Pablo Pino, Denis Parra, Pablo Messina, Cecilia Besa, Sergio Uribe

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.

Medical Report Generation

A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images

no code implementations20 Oct 2020 Pablo Messina, Pablo Pino, Denis Parra, Alvaro Soto, Cecilia Besa, Sergio Uribe, Marcelo andía, Cristian Tejos, Claudia Prieto, Daniel Capurro

Every year physicians face an increasing demand of image-based diagnosis from patients, a problem that can be addressed with recent artificial intelligence methods.

Medical Report Generation

Scalable Recommendation of Wikipedia Articles to Editors Using Representation Learning

1 code implementation24 Sep 2020 Oleksii Moskalenko, Denis Parra, Diego Saez-Trumper

We outperform competitive implicit-feedback collaborative-filtering methods such as WMRF based on ALS, as well as a traditional IR-method such as content-based filtering based on BM25.

Collaborative Filtering Graph Embedding +1

CuratorNet: Visually-aware Recommendation of Art Images

1 code implementation9 Sep 2020 Pablo Messina, Manuel Cartagena, Patricio Cerda-Mardini, Felipe del Rio, Denis Parra

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 growth of the online artwork market.

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

1 code implementation30 Jul 2020 Andrés Villa, Vladimir Araujo, Francisca Cattan, Denis Parra

Our evaluation indicates that both the Transformer architecture and the contextual information are essential to get the best results for this item recommendation task.

Recommendation Systems

On Adversarial Examples for Biomedical NLP Tasks

no code implementations23 Apr 2020 Vladimir Araujo, Andres Carvallo, Carlos Aspillaga, Denis Parra

We also show that we can significantly improve the robustness of the models by training them with adversarial examples.

Language Modelling named-entity-recognition +5

Do Better ImageNet Models Transfer Better... for Image Recommendation?

no code implementations25 Jul 2018 Felipe del Rio, Pablo Messina, Vicente Dominguez, Denis Parra

Our results indicate that models with better performance in the ImageNet challenge do not always imply better transfer learning for recommendation tasks (e. g. NASNet vs. ResNet).

Recommendation Systems Transfer Learning

Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation

no code implementations22 Jun 2017 Vicente Dominguez, Pablo Messina, Denis Parra, Domingo Mery, Christoph Trattner, Alvaro Soto

Advances in image processing and computer vision in the latest years have brought about the use of visual features in artwork recommendation.

pyRecLab: A Software Library for Quick Prototyping of Recommender Systems

1 code implementation20 Jun 2017 Gabriel Sepulveda, Vicente Dominguez, Denis Parra

This paper introduces pyRecLab, a software library written in C++ with Python bindings which allows to quickly train, test and develop recommender systems.

Recommendation Systems

Exploring Content-based Artwork Recommendation with Metadata and Visual Features

no code implementations19 Jun 2017 Pablo Messina, Vicente Dominguez, Denis Parra, Christoph Trattner, Alvaro Soto

Compared to other areas, artwork recommendation has received little attention, despite the continuous growth of the artwork market.

EpistAid: Interactive Interface for Document Filtering in Evidence-based Health Care

1 code implementation7 Nov 2016 Ivania Donoso, Denis Parra

Evidence-based health care (EBHC) is an important practice of medicine which attempts to provide systematic scientific evidence to answer clinical questions.

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