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.
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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 |
School Co-Authors
* Authors who are no longer vigent are not clickable.
External Co-Authors
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Daniela Moyano1 publication
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Gabriel Rada1 publication
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Pablo Celhay1 publication
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Mauricio Araneda-Hernandez1 publication
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Jose Guerra1 publication
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Andres Carvallo1 publication
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Marian Doerk1 publication
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Felipe Bravo-Marquez1 publication
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Manuela Garreton1 publication
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Manuela Garreton1 publication
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Andres Carvallo1 publication
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Francesca Morini1 publication