David Azcona

Orcid: 0000-0003-3693-7906

According to our database1, David Azcona authored at least 11 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Brand Recommendations for Cold-Start Problems Using Brand Embeddings.
Proceedings of the Intelligent Systems and Applications, 2022

2020
A Smart-Site-Survey System using Image-based 3D Metric Reconstruction and Interactive Panorama Visualization.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset.
Proceedings of the International Conference on Intelligent Data Science Technologies and Applications, 2020

2019
Detecting students-at-risk in computer programming classes with learning analytics from students' digital footprints.
User Model. User Adapt. Interact., 2019

Predicting Media Memorability Using Ensemble Models.
Proceedings of the Working Notes Proceedings of the MediaEval 2019 Workshop, 2019

user2code2vec: Embeddings for Profiling Students Based on Distributional Representations of Source Code.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

2018
Personalizing Computer Science Education by Leveraging Multimodal Learning Analytics.
Proceedings of the IEEE Frontiers in Education Conference, 2018

Learning by Reviewing Paper-Based Programming Assessments.
Proceedings of the Lifelong Technology-Enhanced Learning, 2018

An Exploratory Study on Student Engagement with Adaptive Notifications in Programming Courses.
Proceedings of the Lifelong Technology-Enhanced Learning, 2018

Modelling Math Learning on an Open Access Intelligent Tutor.
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2017
Targeting At-risk Students Using Engagement and Effort Predictors in an Introductory Computer Programming Course.
Proceedings of the Data Driven Approaches in Digital Education, 2017


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