Pablo Messina

According to our database, Pablo Messina authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

iHealth-Chile-3&2 at RRG24: Template Based Report Generation.

Oscar Loch, Pablo Messina, Rafael Elberg, Diego Campanini, Álvaro Soto, René Vidal, Denis Parra

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

iHealth-Chile-1 at RRG24: In-context Learning and Finetuning of a Large Multimodal Model for Radiology Report Generation.

Diego Campanini, Oscar Loch, Pablo Messina, Rafael Elberg, Denis Parra

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation.

Pablo Messina, René Vidal, Denis Parra, Alvaro Soto, Vladimir Araujo

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2022

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

Pablo Messina, Pablo Pino, Denis Parra, Alvaro Soto, Cecilia Besa, Sergio Uribe, Marcelo E. Andia, Cristian Tejos, Claudia Prieto, Daniel Capurro

ACM Comput. Surv., January, 2022

2021

PUC Chile team at VQA-Med 2021: approaching VQA as a classification task via fine-tuning a pretrained CNN.

Ricardo Schilling, Pablo Messina, Denis Parra, Hans Löbel

Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

PUC Chile team at TBT Task: Diagnosis of Tuberculosis Type using segmented CT scans.

José Miguel Quintana, Daniel Florea, Ria Deane, Denis Parra, Pablo Pino, Pablo Messina, Hans Löbel

Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

2020

Algorithmic and HCI Aspects for Explaining Recommendations of Artistic Images.

Vicente Dominguez, Ivania Donoso-Guzmán, Pablo Messina, Denis Parra

ACM Trans. Interact. Intell. Syst., 2020

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

Pablo Pino, Denis Parra, Pablo Messina, Cecilia Besa, Sergio Uribe

CoRR, 2020

A Survey on Deep Learning and Explainability for Automatic Image-based Medical Report Generation.

Pablo Messina, Pablo Pino, Denis Parra, Alvaro Soto, Cecilia Besa, Sergio Uribe, Marcelo E. Andia, Cristian Tejos, Claudia Prieto, Daniel Capurro

CoRR, 2020

CuratorNet: Visually-aware Recommendation of Art Images.

Denis Parra, Pablo Messina, Manuel Cartagena, Felipe del-Rio, Patricio Cerda-Mardini

Proceedings of the Workshops on Recommendation in Complex Scenarios and the Impact of Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020), 2020

2019

Content-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual features.

Pablo Messina, Vicente Dominguez, Denis Parra, Christoph Trattner, Alvaro Soto

User Model. User Adapt. Interact., 2019

The effect of explanations and algorithmic accuracy on visual recommender systems of artistic images.

Vicente Dominguez, Pablo Messina, Ivania Donoso-Guzmán, Denis Parra

Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019

2018

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

Felipe del-Rio, Pablo Messina, Vicente Dominguez, Denis Parra

CoRR, 2018

Towards Explanations for Visual Recommender Systems of Artistic Images.

Vicente Dominguez, Pablo Messina, Christoph Trattner, Denis Parra

Proceedings of the 5th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 2018

2017

Exploring Content-based Artwork Recommendation with Metadata and Visual Features.

Pablo Messina, Vicente Dominguez, Denis Parra, Christoph Trattner, Alvaro Soto

CoRR, 2017

Comparing Neural and Attractiveness-based Visual Features for Artwork Recommendation.

Vicente Dominguez, Pablo Messina, Denis Parra, Domingo Mery, Christoph Trattner, Alvaro Soto

Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, 2017