Welcome to HAIVis!

Human-centered Artificial Intelligence and Visualization group at Pontificia Universidad Católica de Chile

HAIVis (Human-centered AI and Visualization) is a research group at PUC Chile, part of the Artificial Intelligence Laboratory . As AI technologies progress from applications involving mostly machines towards AI systems interacting with humans (Human-AI interaction), there is a need to investigate this interaction in order to develop AI systems which amplify human performance on different task, but with a clear focus on humans: effective, fair, accountable, and transparent. With the aim of addressing this need, we conduct research in the following lines:

  • Recommender Systems and Intelligent User Interfaces
  • Information Visualization
  • Explainable Artificial Intelligence
  • Creative Artificial Intelligence
  • AI applied to the Medical domain

You can find our software such as PyRecLab recommendation library and other projects in our Github organization.

News

Oct 28, 2025 Rafael Elberg's paper (co-authored by Prof. Parra) was accepted in Neurips
Oct 22, 2025 Approval of Doctoral Candidacy Examination for Oscar Loch
Oct 3, 2025 Denis Parra participates in the Chile–Japan Academic Forum at Kyoto University
Sep 27, 2025 Pablo Messina and Denis Parra attend MICCAI 2025 in Daejeon
Sep 5, 2025 Talk on AI and Medical Imaging at INFONOR 2025

Selected publications

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray
Mingquan Lin, Gregory Holste, Song Wang, Yiliang Zhou, Yishu Wei, Imon Banerjee, Pengyi Chen, Tianjie Dai, Yuexi Du, Nicha C Dvornek, Yuyan Ge, Zuwei Guo, Shouhei Hanaoka, Dongkyun Kim, Pablo Messina, Yang Lu, Denis Parra
Medical Image Analysis
14 Kg of CO2: Analyzing the Carbon Footprint and Performance of Session-Based Recommendation Algorithms
Alejandro Plaza, Juan Carlos Gil, Denis Parra
International Workshop on Recommender Systems for Sustainability and Social Good
Survey of data stories: Guidelines for data story authoring
Manuela Garreton, Daniela Moyano, José Guerra, Denis Parra
Information Visualization
Clinically Correct Report Generation from Chest X-Rays Using Templates
Pino, Pablo, Parra, Denis, Besa, Cecilia, Lagos, Claudio
In Machine Learning in Medical Imaging 2021
Automatic document screening of medical literature using word and text embeddings in an active learning setting
Andres Carvallo, Denis Parra, Hans Lobel, Alvaro Soto
Scientometrics 2020
Algorithmic and HCI aspects for explaining recommendations of artistic images
Dominguez, Vicente, Donoso-Guzmán, Ivania, Messina, Pablo, Parra, Denis
ACM Transactions on Interactive Intelligent Systems (TiiS) 2020
Interpretable Contextual Team-aware Item Recommendation: Application in Multiplayer Online Battle Arena Games
Villa, Andrés, Araujo, Vladimir, Cattan, Francisca, Parra, Denis
In Proceedings of the 14th ACM Conference on Recommender Systems 2020
Latent Chords: Generative Piano Chord Synthesis with Variational Autoencoders
Macaya, Agustin, Cadiz, Rodrigo, Cartagena, Manuel, Parra, Denis
In Proceedings of the HAI-GEN 2020 - IUI 2020 Workshop on Human-AI Co-Creation with Generative Models 2020
The Effect of Explanations and Algorithmic Accuracy on Visual Recommender Systems of Artistic Images
Dominguez, Vicente, Messina, Pablo, Donoso-Guzmán, Ivania, Parra, Denis
In 24th Conference on Intelligent User interfaces 2019
Towards Explanations for Visual Recommender Systems of Artistic Images
Vicente Dominguez, Pablo Messina, Christoph Trattner, Denis Parra
In Joint Workshop on Interfaces and Human Decision Making for Recommender Systems 2018
Moodplay: Interactive Music Recommendation based on Artists’ Mood Similarity
Andjelkovic, Ivana, Parra, Denis, O'Donovan, John
International Journal of Human-Computer Studies 2018
Learning to Leverage Microblog Information for QA Retrieval
Herrera, Jose, Poblete, Barbara, Parra, Denis
In Proceedings of the European Conference in Information Retrieval 2018
pyRecLab: A Software Library for Quick Prototyping of Recommender Systems
Sepulveda, Gabriel, Parra, Denis
In Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017) 2017