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All Outputs (7)

Unveiling crisis in globalised higher education: Artificial intelligence insights from doctoral research in EThOS (2024)
Journal Article
Montgomery, C., Stewart, C., Aduragba, O., & Poli, F. (2024). Unveiling crisis in globalised higher education: Artificial intelligence insights from doctoral research in EThOS. Higher Education Quarterly, https://doi.org/10.1111/hequ.12537

This paper seeks to illuminate new perspectives on the concept of crisis in globalised higher education (HE) by focusing on knowledge generated by doctoral research. Doctoral research is a significant part of research and knowledge building in HE, pa... Read More about Unveiling crisis in globalised higher education: Artificial intelligence insights from doctoral research in EThOS.

Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation (2023)
Journal Article
Yu, J., Cristea, A. I., Harit, A., Sun, Z., Aduragba, O. T., Shi, L., & Al Moubayed, N. (2023). Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation. AI open, 4, 19-32. https://doi.org/10.1016/j.aiopen.2023.05.001

This paper explores deep latent variable models for semi-supervised paraphrase generation, where the missing target pair for unlabelled data is modelled as a latent paraphrase sequence. We present a novel unsupervised model named variational sequence... Read More about Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation.

Efficient Uncertainty Quantification for Multilabel Text Classification (2022)
Presentation / Conference Contribution
Yu, J., Cristea, A. I., Harit, A., Sun, Z., Aduragba, O. T., Shi, L., & Al Moubayed, N. (2022). Efficient Uncertainty Quantification for Multilabel Text Classification. . https://doi.org/10.1109/ijcnn55064.2022.9892871

Despite rapid advances of modern artificial intelligence (AI), there is a growing concern regarding its capacity to be explainable, transparent, and accountable. One crucial step towards such AI systems involves reliable and efficient uncertainty qua... Read More about Efficient Uncertainty Quantification for Multilabel Text Classification.

INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations (2022)
Presentation / Conference Contribution
Yu, J., Cristea, A. I., Harit, A., Sun, Z., Aduragba, O. T., Shi, L., & Al Moubayed, N. (2022). INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. . https://doi.org/10.1109/ijcnn55064.2022.9892336

XAI with natural language processing aims to produce human-readable explanations as evidence for AI decisionmaking, which addresses explainability and transparency. However, from an HCI perspective, the current approaches only focus on delivering a s... Read More about INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations.

Digital Inclusion in Nothern England: Training Women from Underrepresented Communities in Tech: A Data Analytics Case Study (2020)
Presentation / Conference Contribution
Aduragba, O. T., Yu, J., Cristea, A. I., Hardey, M., & Black, S. (2020). Digital Inclusion in Nothern England: Training Women from Underrepresented Communities in Tech: A Data Analytics Case Study. In 2020 15th International Conference on Computer Science & Education (ICCSE) (162-168). https://doi.org/10.1109/iccse49874.2020.9201693

The TechUPWomen programme takes 100 women from the Midlands and North of England, particularly from underrepresented communities, with degrees or experience in any subject area, retrains them in technology and upon graduation guarantees an interview... Read More about Digital Inclusion in Nothern England: Training Women from Underrepresented Communities in Tech: A Data Analytics Case Study.

Research on Prediction of Infectious Diseases, their spread via Social Media and their link to Education (2019)
Presentation / Conference Contribution
Aduragba, O. T., & Cristea, A. I. (2019). Research on Prediction of Infectious Diseases, their spread via Social Media and their link to Education. In Proceedings of the 2019 4th International Conference on Information and Education Innovations (ICIEI 2019) (38-42). https://doi.org/10.1145/3345094.3345118

Infectious diseases are a great plague, especially in low and middle income countries. Beyond the actual treatment, an important role is played by early prevention mechanisms, and education of society at large, about existing risks. This paper tackle... Read More about Research on Prediction of Infectious Diseases, their spread via Social Media and their link to Education.