profile photo

Denis Alejandro Parra

email dparras@uc.cl

Keywords from publications:
Data Stories Benchmark Music Generation Music Inpainting Music Infilling Evaluation Ver más...

Profile

Profesor Asociado del Departamento de Ciencia de la Computación. Mis intereses principales son los sistemas donde tecnologías y métodos de inteligencia artificial interactúan directamente con seres humanos. Me interesa desarrollar algoritmos que permitan personalizar el contenido y comportamiento de sistemas cuando se interactúa con el usuario, pero a la vez me interesa investigar cómo el usuario hace uso de estos sistemas y cómo afectan su percepción y comportamiento. El diseño y conducción de estudios de usuario, el análisis de comportamiento de usuarios usando minería de datos, y el uso de visualizaciones tanto para crear aplicaciones como para analizar los datos son parte de mis áreas de interés.

Mi experiencia docente se remonta a clases de Programación y de Ingeniería de Software en la Universidad Austral de Chile entre los años 2004 y 2007. En la actualidad estoy a cargo del Exploratorio en Ciencias de la Computación y del curso de Data Mining el Magister en Procesamiento y Gestión de la Información (MPGI).


A partir del 2008, fecha en que inicio mi programa de PhD en la Universidad de Pittsburgh (PA, USA), me dedico principalmente a actividades de investigación en el área de sistemas recomendadores, incluyendo 2 pasantías de investigación en el TCD Dublin (en colaboración con IBM) y en Telefonica I+D en Barcelona. Me gradué de Doctor en Ciencia y Tecnología de la Información en Agosto de 2013, obteniendo un best stiudent paper award el 2011 en la conferencia UMAP, y una nominación a best paper en Hypertext 2012.

Network

Keywords from publications

Title Year Doi
Predicting process behavior meets factorization machines 2018 https://doi.org/10.1016/j.eswa.2018.05.035
Using Twitter to Infer User Satisfaction With Public Transport: The Case of Santiago, Chile 2019 https://doi.org/10.1109/ACCESS.2019.2915107
Automatic document screening of medical literature using word and text embeddings in an active learning setting 2020 https://doi.org/10.1007/s11192-020-03648-6
Data Mining for Item Recommendation in MOBA Games 2019 https://doi.org/10.1145/3298689.3346986
Third Workshop on Exploratory Search and Interactive Data Analytics (ESIDA) 2019 https://doi.org/10.1145/3308557.3313111
Social QA in non-CQA platforms 2020 https://doi.org/10.1016/j.future.2019.12.023
Tag-based information access in image collections: insights from log and eye-gaze analyses 2019 https://doi.org/10.1007/s10115-019-01343-4
IDM-WSDM 2019: Workshop on Interactive Data Mining 2019 https://doi.org/10.1145/3289600.3291376
The Effect of Explanations and Algorithmic Accuracy on Visual Recommender Systems of Artistic Images 2019 https://doi.org/10.1145/3301275.3302274
Recommender Systems for Online Video Game Platforms: the Case of STEAM 2019 https://doi.org/10.1145/3308560.3316457
Inferring modes of transportation using mobile phone data 2018 https://doi.org/10.1140/epjds/s13688-018-0177-1
Content-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual features 2019 https://doi.org/10.1007/s11257-018-9206-9
An Interactive Relevance Feedback Interface for Evidence-Based Health Care 2018 https://doi.org/10.1145/3172944.3172953
Moodplay: Interactive music recommendation based on Artists' mood similarity 2019 https://doi.org/10.1016/j.ijhcs.2018.04.004
IntersectionExplorer, a multi-perspective approach for exploring recommendations 2019 https://doi.org/10.1016/j.ijhcs.2018.04.008
Investigating the utility of the weather context for point of interest recommendations 2018 https://doi.org/10.1007/s40558-017-0100-9
Learning to Leverage Microblog Information for QA Retrieval 2018 https://doi.org/10.1007/978-3-319-76941-7_38
Understanding People's Interaction with Neural Sci-Art 2017
Gaining historical and international relations insights from social media: spatio-temporal real-world news analysis using Twitter 2017 https://doi.org/10.1140/epjds/s13688-017-0122-8
Linking information and people in a social system for academic conferences 2017 https://doi.org/10.1080/13614568.2016.1179796
Monitoring obesity prevalence in the United States through bookmarking activities in online food portals 2017 https://doi.org/10.1371/journal.pone.0179144
Visualization and recommendation of large image collections toward effective sensemaking 2017 https://doi.org/10.1177/1473871616630778
GENE: Graph generation conditioned on named entities for polarity and controversy detection in social media 2020 https://doi.org/10.1016/j.ipm.2020.102366
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images 2022 https://doi.org/10.1145/3522747
Data Stories of Water: Studying the Communicative Role of Data Visualizations within Long-form Journalism 2023 https://doi.org/10.1111/cgf.14815
MUSIB: musical score inpainting benchmark 2023 https://doi.org/10.1186/s13636-023-00279-6
Evaluating Pre-training Strategies for Collaborative Filtering 2023 https://doi.org/10.1145/3565472.3592949
A Named Entity Recognition framework using Transformers to identify relevant clinical findings from mammographic radiological reports 2023 https://doi.org/10.1117/12.2670228
A comparative dataset: Bridging COVID-19 and other diseases through epistemonikos and CORD-19 evidence 2023 https://doi.org/10.1016/j.dib.2023.109720
Similarity-Based Explanations meet Matrix Factorization via Structure-Preserving Embeddings 2022 https://doi.org/10.1145/3490099.3511104
Evaluating a Learning Analytics Dashboard to Visualize Student Self-Reports of Time-on-task A Case Study in a Latin American University 2021 https://doi.org/10.1145/3448139.3448203
Clinically Correct Report Generation from Chest X-Rays Using Templates 2021 https://doi.org/10.1007/978-3-030-87589-3_67
Interpretable Contextual Team-aware Item Recommendation: Application in Multiplayer Online Battle Arena Games 2020 https://doi.org/10.1145/3383313.3412211
Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI 2023 https://doi.org/arXiv:2308.06274
Long Tail Image Generation Through Feature Space Augmentation and Iterated Learning 2024 https://doi.org/arXiv:2405.01705
Attitudinal Effects of Data Visualizations and Illustrations in Data Stories 2024 https://doi.org/10.1109/TVCG.2023.3248319
Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI 2023 https://doi.org/10.1007/978-3-031-44070-0_10
Survey of data stories: Guidelines for data story authoring 2024 https://doi.org/10.1177/14738716241287116
HealthIUI: Workshop on Intelligent and Interactive Health User Interfaces 2025 https://doi.org/10.1145/3708557.3716161
A Communication Framework for Compositional Generation 2025 https://doi.org/arXiv:2501.19182
Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation 2024
Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation 2024 https://doi.org/arXiv:2407.01948
The Role of Organizations in Networked Mobilization: Examining the 2011 Chilean Student Movement Through The Logic of Connective Action 2025 https://doi.org/10.1145/3717867.3717917

School Co-Authors

* Authors who are no longer vigent are not clickable.

External Co-Authors

  • Jose Guerra
    1 publication
  • Andres Carvallo
    1 publication
  • Marian Doerk
    1 publication
  • Felipe Bravo-Marquez
    1 publication
  • Manuela Garreton
    1 publication
  • Manuela Garreton
    1 publication
  • Andres Carvallo
    1 publication
  • Francesca Morini
    1 publication
  • Daniela Moyano
    1 publication
  • Gabriel Rada
    1 publication
  • Pablo Celhay
    1 publication
  • Mauricio Araneda-Hernandez
    1 publication