no code implementations • 31 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.
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.
no code implementations • 7 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.
no code implementations • 28 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.
no code implementations • 1 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.
1 code implementation • 18 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.
no code implementations • 20 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.
1 code implementation • 24 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.
1 code implementation • 9 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.
1 code implementation • 30 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.
no code implementations • WS 2020 • Vladimir Araujo, Andr{\'e}s Carvallo, Denis Parra
The success of pre-trained word embeddings of the BERT model has motivated its use in tasks in the biomedical domain.
no code implementations • 23 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.
no code implementations • 25 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).
no code implementations • 22 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.
1 code implementation • 20 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.
no code implementations • 19 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.
1 code implementation • 7 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.