David Azcona

According to our database1, David Azcona authored at least 10 papers between 2017 and 2020.

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



In proceedings 
PhD thesis 


On csauthors.net:


A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset.
CoRR, 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

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

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

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