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Oscar Blessed Deho PhD
Oscar Blessed Deho PhD
University of South Australia
Potvrđena adresa e-pošte na mymail.unisa.edu.au
Naslov
Citirano
Citirano
Godina
Sentiment analysis with word embedding
OB Deho, WA Agangiba, FL Aryeh, JA Ansah
2018 IEEE 7th International Conference on Adaptive Science & Technology …, 2018
902018
How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics?
OB Deho, C Zhan, J Li, J Liu, L Liu, T Duy Le
British Journal of Educational Technology, 2022
642022
Should learning analytics models include sensitive attributes? Explaining the why
OB Deho, S Joksimovic, J Li, C Zhan, J Liu, L Liu
IEEE Transactions on Learning Technologies 16 (4), 560-572, 2022
252022
Synthetic data generator for student data serving learning analytics: A comparative study
C Zhan, OB Deho, X Zhang, S Joksimovic, M de Laat
Learning Letters 1, 5-5, 2023
82023
Assessing the causal impact of online instruction due to covid-19 on students’ grades and its aftermath on grade prediction models
OB Deho, L Liu, S Joksimovic, J Li, C Zhan, J Liu
Proceedings of the 2022 ACM Conference on Information Technology for Social …, 2022
82022
Sentiment Analysis with Word Embedding: The Case of Double-track Education System in Ghana
OB Deho, WA Agangiba
Ghana Journal of Technology, 2019
82019
When the past!= the future: Assessing the Impact of Dataset Drift on the Fairness of Learning Analytics Models
OB Deho, L Liu, J Li, J Liu, C Zhan, S Joksimovic
IEEE Transactions on Learning Technologies 17, 1007-1020, 2024
62024
Assessing the fairness of course success prediction models in the face of (un) equal demographic group distribution
OB Deho, S Joksimovic, L Liu, J Li, C Zhan, J Liu
Proceedings of the Tenth ACM Conference on Learning@ Scale, 48-58, 2023
62023
Can Synthetic Data be Fair and Private? A Comparative Study of Synthetic Data Generation and Fairness Algorithms
Q Liu, O Deho, F Vadiee, M Khalil, S Joksimovic, G Siemens
arXiv preprint arXiv:2501.01785, 2025
22025
Decision trees in federated learning: Current state and future opportunities
SR Heiyanthuduwage, I Altas, M Bewong, MDZ Islam, OB Deho
IEEE Access, 2024
22024
Is it still fair? A comparative evaluation of fairness algorithms through the lens of covariate drift
OB Deho, M Bewong, S Kwashie, J Li, J Liu, L Liu, S Joksimovic
Machine Learning 114 (1), 8, 2025
2025
Investigating the Fairness of Predictive Learning Analytics Models in Static and Dynamic Environments
O Deho
University of South Australia, 2023
2023
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