15 citations · 106 across the 18 of their papers we have counts for
19 papers
XAI Evaluation Cards: A Practical Method for Designing Human-Centred XAI Evaluations
Kristýna Sirka Kacafírková, Ivania Donoso-Guzmán, Denis Parra +2
Evaluating explainable AI (XAI) systems from a human-centred approach requires researchers to select from numerous evaluation dimensions and measures, often in an ad hoc and fragme…
Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI
Ivania Donoso-Guzmán, Jeroen Ooge, Denis Parra +1
While research on explainable AI (XAI) is booming and explanation techniques have proven promising in many application domains, standardised human-centred evaluation procedures are…
Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations
Iván Cantador, Andrés Carvallo, Fernando Diez +1
The success of neural network embeddings has entailed a renewed interest in using knowledge graphs for a wide variety of machine learning and information retrieval tasks. In partic…
AHMoSe: A Knowledge-Based Visual Support System for Selecting Regression Machine Learning Models
Diego Rojo, Nyi Nyi Htun, Denis Parra +2
Decision support systems have become increasingly popular in the domain of agriculture. With the development of automated machine learning, agricultural experts are now able to tra…
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…
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…
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…
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…
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…
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…
Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation
Vicente Dominguez, Pablo Messina, Denis Parra +3
Advances in image processing and computer vision in the latest years have brought about the use of visual features in artwork recommendation. Recent works have shown that visual fe…
pyRecLab: A Software Library for Quick Prototyping of Recommender Systems
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. Although there are sever…
Exploring Content-based Artwork Recommendation with Metadata and Visual Features
Pablo Messina, Vicente Dominguez, Denis Parra +2
Compared to other areas, artwork recommendation has received little attention, despite the continuous growth of the artwork market. Previous research has relied on ratings and meta…
EpistAid: Interactive Interface for Document Filtering in Evidence-based Health Care
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. In this context, Epist…
Language, Twitter and Academic Conferences
Ruth García, Diego Gómez, Denis Parra +3
Using Twitter during academic conferences is a way of engaging and connecting an audience inherently multicultural by the nature of scientific collaboration. English is expected to…
Identifying Relevant Messages in a Twitter-based Citizen Channel for Natural Disaster Situations
Alfredo Cobo, Denis Parra, Jaime Navón
During recent years the online social networks (in particular Twitter) have become an important alternative information channel to traditional media during natural disasters, but t…
Recommending Items in Social Tagging Systems Using Tag and Time Information
Emanuel Lacic, Dominik Kowald, Paul Seitlinger +2
In this work we present a novel item recommendation approach that aims at improving Collaborative Filtering (CF) in social tagging systems using the information about tags and time…
Utilizing Online Social Network and Location-Based Data to Recommend Products and Categories in Online Marketplaces
Emanuel Lacic, Dominik Kowald, Lukas Eberhard +3
Recent research has unveiled the importance of online social networks for improving the quality of recommender systems and encouraged the research community to investigate better w…
Twitter in Academic Conferences: Usage, Networking and Participation over Time
Xidao Wen, Yu-Ru Lin, Christoph Trattner +1
Twitter is often referred to as a backchannel for conferences. While the main conference takes place in a physical setting, attendees and virtual attendees socialize, introduce new…