Følg
Oscar Blessed Deho PhD
Oscar Blessed Deho PhD
University of South Australia
Verificeret mail på mymail.unisa.edu.au
Titel
Citeret af
Citeret af
År
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
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
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
72023
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
Systemet kan ikke foretage handlingen nu. Prøv igen senere.
Artikler 1–12