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David Azcona
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2020 – today
- 2022
- [c10]David Azcona, Alan F. Smeaton:
Brand Recommendations for Cold-Start Problems Using Brand Embeddings. IntelliSys (3) 2022: 724-733 - 2020
- [c9]David Azcona, Kevin McGuinness, Alan F. Smeaton:
A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset. IDSTA 2020: 149-155 - [c8]Sha Yu, Kevin McGuinness, Patricia Moore, David Azcona, Noel E. O'Connor:
A Smart-Site-Survey System using Image-based 3D Metric Reconstruction and Interactive Panorama Visualization. ACM Multimedia 2020: 4512-4514 - [i1]David Azcona, Kevin McGuinness, Alan F. Smeaton:
A Comparative Study of Existing and New Deep Learning Methods for Detecting Knee Injuries using the MRNet Dataset. CoRR abs/2010.01947 (2020)
2010 – 2019
- 2019
- [j1]David Azcona, I-Han Hsiao, Alan F. Smeaton:
Detecting students-at-risk in computer programming classes with learning analytics from students' digital footprints. User Model. User Adapt. Interact. 29(4): 759-788 (2019) - [c7]David Azcona, Piyush Arora, I-Han Hsiao, Alan F. Smeaton:
user2code2vec: Embeddings for Profiling Students Based on Distributional Representations of Source Code. LAK 2019: 86-95 - [c6]David Azcona, Enric Moreu, Feiyan Hu, Tomás E. Ward, Alan F. Smeaton:
Predicting Media Memorability Using Ensemble Models. MediaEval 2019 - 2018
- [c5]David Azcona, I-Han Hsiao, Alan F. Smeaton:
Modelling Math Learning on an Open Access Intelligent Tutor. AIED (2) 2018: 36-40 - [c4]Yancy Vance M. Paredes, David Azcona, I-Han Hsiao, Alan F. Smeaton:
Learning by Reviewing Paper-Based Programming Assessments. EC-TEL 2018: 510-523 - [c3]David Azcona, I-Han Hsiao, Alan F. Smeaton:
An Exploratory Study on Student Engagement with Adaptive Notifications in Programming Courses. EC-TEL 2018: 644-647 - [c2]David Azcona, I-Han Hsiao, Alan F. Smeaton:
Personalizing Computer Science Education by Leveraging Multimodal Learning Analytics. FIE 2018: 1-9 - 2017
- [c1]David Azcona, Alan F. Smeaton:
Targeting At-risk Students Using Engagement and Effort Predictors in an Introductory Computer Programming Course. EC-TEL 2017: 361-366
Coauthor Index
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