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Outputs (1469)

AraCust: a Saudi Telecom Tweets corpus for sentiment analysis (2021)
Journal Article
Almuqren, L., & Cristea, A. (2021). AraCust: a Saudi Telecom Tweets corpus for sentiment analysis. PeerJ Computer Science, 7, Article e510. https://doi.org/10.7717/peerj-cs.510

Comparing Arabic to other languages, Arabic lacks large corpora for Natural Language Processing (Assiri, Emam & Al-Dossari, 2018; Gamal et al., 2019). A number of scholars depended on translation from one language to another to construct their corpus... Read More about AraCust: a Saudi Telecom Tweets corpus for sentiment analysis.

Using Advanced Cell Culture Techniques to Differentiate Pluripotent Stem Cells and Recreate Tissue Structures Representative of Teratoma Xenografts (2021)
Journal Article
Smith, L., Hidalgo Aguilar, A., Owens, D., Quelch, R., Knight, E., & Przyborski, S. (2021). Using Advanced Cell Culture Techniques to Differentiate Pluripotent Stem Cells and Recreate Tissue Structures Representative of Teratoma Xenografts. Frontiers in Cell and Developmental Biology, 9, https://doi.org/10.3389/fcell.2021.667246

Various methods are currently used to investigate human tissue differentiation, including human embryo culture and studies utilising pluripotent stem cells (PSCs) such as in vitro embryoid body formation and in vivo teratoma assays. Each method has i... Read More about Using Advanced Cell Culture Techniques to Differentiate Pluripotent Stem Cells and Recreate Tissue Structures Representative of Teratoma Xenografts.

Automatic creating variation of CS1 assignments and exams (2021)
Presentation / Conference Contribution
Pereira, F. D., Júnior, H. B. D. F., Oliveira, E. H. T. D., Carvalho, L. S. G. D., Oliveira, D. B. F. D., Benedict, A., Dorodchi, M., & Cristea, A. I. (2021, April). Automatic creating variation of CS1 assignments and exams. Presented at Anais Estendidos do I Simpósio Brasileiro de Educação em Computação (EDUCOMP Estendido 2021), Online

Interpretable AI to Understand Early Effective and Ineffective Programming Behaviours from CS1 Learners (2021)
Presentation / Conference Contribution
Pereira, F. D., Oliveira, E. H. T. D., Oliveira, D. B. F. D., Carvalho, L. S. G. D., & Cristea, A. I. (2021, April). Interpretable AI to Understand Early Effective and Ineffective Programming Behaviours from CS1 Learners. Presented at Anais Estendidos do I Simpósio Brasileiro de Educação em Computação (EDUCOMP Estendido 2021), Online

Building predictive models to estimate the learner performance in the beginning of CS1 courses is essential in education to allow early interventions. However, the educational literature notes the lack of studies on early learner behaviours that can... Read More about Interpretable AI to Understand Early Effective and Ineffective Programming Behaviours from CS1 Learners.

The Verification of Ecological Citizen Science Data: Current Approaches and Future Possibilities (2021)
Journal Article
Baker, E., Drury, J., Judge, J., Roy, D., Smith, G., & Stephens, P. (2021). The Verification of Ecological Citizen Science Data: Current Approaches and Future Possibilities. Citizen Science: Theory and Practice, 6(1), 1-14. https://doi.org/10.5334/cstp.351

Citizen science schemes enable ecological data collection over very large spatial and temporal scales, producing datasets of high value for both pure and applied research. However, the accuracy of citizen science data is often questioned, owing to is... Read More about The Verification of Ecological Citizen Science Data: Current Approaches and Future Possibilities.

COVID-19’s Impact on the Telecommunications Companies (2021)
Presentation / Conference Contribution
Almuqren, L., & Cristea, A. I. (2021, December). COVID-19’s Impact on the Telecommunications Companies. Presented at World Conference on Information Systems and Technologies

Now the world is witnessing most significant challenges due the Covid-19 crisis. Beyond health effects, it has social and economic effects. With the enormous amount of data available and the widespread use of social web globally, research can and sho... Read More about COVID-19’s Impact on the Telecommunications Companies.

Improving and benchmarking of algorithms for Γ-maximin, Γ-maximax and interval dominance (2021)
Journal Article
Nakharutai, N., Troffaes, M. C., & Caiado, C. C. (2021). Improving and benchmarking of algorithms for Γ-maximin, Γ-maximax and interval dominance. International Journal of Approximate Reasoning: Uncertainty in Intelligent Systems, 133, 95-115. https://doi.org/10.1016/j.ijar.2021.03.005

Γ-maximin, Γ-maximax and interval dominance are familiar decision criteria for making decisions under severe uncertainty, when probability distributions can only be partially identified. One can apply these three criteria by solving sequences of line... Read More about Improving and benchmarking of algorithms for Γ-maximin, Γ-maximax and interval dominance.

Towards Designing Profitable Courses: Predicting Student Purchasing Behaviour in MOOCs (2021)
Journal Article
Alshehri, M., Alamri, A., Cristea, A. I., & Stewart, C. D. (2021). Towards Designing Profitable Courses: Predicting Student Purchasing Behaviour in MOOCs. International Journal of Artificial Intelligence in Education, 31(2), 215-233. https://doi.org/10.1007/s40593-021-00246-2

Since their ‘official’ emergence in 2012 (Gardner and Brooks 2018), massive open online courses (MOOCs) have been growing rapidly. They offer low-cost education for both students and content providers; however, currently there is a very low level of... Read More about Towards Designing Profitable Courses: Predicting Student Purchasing Behaviour in MOOCs.

Towards a Human-AI hybrid system for categorising programming problems (2021)
Presentation / Conference Contribution
Pereira, F. D., Piris, F., Cristo da Fonseca, S., Cristea, A., Oliveira, E. H., Carvalho, L., & Fernandes, D. (2021, March). Towards a Human-AI hybrid system for categorising programming problems. Presented at SIGCSE Technical Symposium

As programming skills are increasingly required world-wide and across disciplines, many students use online platforms that provide automatic feedback through a Programming Online Judge (POJ) mechanism. POJs are very popular e-learning tools, boasting... Read More about Towards a Human-AI hybrid system for categorising programming problems.