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Outputs (387)

Digitizing Premodern Text with the Chinese Text Project (2020)
Journal Article
Sturgeon, D. (2020). Digitizing Premodern Text with the Chinese Text Project. Journal of Chinese history, 4(2), 486-498. https://doi.org/10.1017/jch.2020.19

The widespread availability of digitized premodern textual sources – together with increasingly sophisticated means for their manipulation – has brought enormous practical benefits to scholars whose work relies upon reference to their contents. While... Read More about Digitizing Premodern Text with the Chinese Text Project.

An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach (2021)
Journal Article
Almuqren, L., Alrayes, F. S., & Cristea, A. I. (2021). An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach. Future Internet, 13(7), Article 175. https://doi.org/10.3390/fi13070175

With the rising growth of the telecommunication industry, the customer churn problem has grown in significance as well. One of the most critical challenges in the data and voice telecommunication service industry is retaining customers, thus reducing... Read More about An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach.

Learners Demographics Classification on MOOCs During the COVID-19: Author Profiling via Deep Learning Based on Semantic and Syntactic Representations (2021)
Journal Article
Aljohani, T., & Cristea, A. I. (2021). Learners Demographics Classification on MOOCs During the COVID-19: Author Profiling via Deep Learning Based on Semantic and Syntactic Representations. Frontiers in Research Metrics and Analytics, 6, Article 673928. https://doi.org/10.3389/frma.2021.673928

Massive Open Online Courses (MOOCs) have become universal learning resources, and the COVID-19 pandemic is rendering these platforms even more necessary. In this paper, we seek to improve Learner Profiling (LP), i.e. estimating the demographic charac... Read More about Learners Demographics Classification on MOOCs During the COVID-19: Author Profiling via Deep Learning Based on Semantic and Syntactic Representations.

Measuring Retinal Vessel Tortuosity in 10-Year-Old Children: Validation of the Computer-Assisted Image Analysis of the Retina (CAIAR) Program (2009)
Journal Article
Owen, C. G., Rudnicka, A. R., Mullen, R., Barman, S. A., Monekosso, D., Whincup, P. H., …Paterson, C. (2009). Measuring Retinal Vessel Tortuosity in 10-Year-Old Children: Validation of the Computer-Assisted Image Analysis of the Retina (CAIAR) Program. Investigative Ophthalmology & Visual Science, 50(5), 2004-2010. https://doi.org/10.1167/iovs.08-3018

Cybernetics, listening, and sound-studio phenomenotechnique in Abraham Moles’s Théorie de l’information et perception esthétique (1958) (2021)
Journal Article
Bell, E. (2021). Cybernetics, listening, and sound-studio phenomenotechnique in Abraham Moles’s Théorie de l’information et perception esthétique (1958). Resonance (Oakland, Calif.), 2(4), 523-558. https://doi.org/10.1525/res.2021.2.4.523

In his Théorie de l’information et perception esthétique (1958), the sociologist of culture Abraham Moles (1920–1992) set out to demonstrate the applicability of information theory—a mathematical linchpin of cybernetics—to the arts more generally. Mo... Read More about Cybernetics, listening, and sound-studio phenomenotechnique in Abraham Moles’s Théorie de l’information et perception esthétique (1958).

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.

Explaining Individual and Collective Programming Students’ Behavior by Interpreting a Black-Box Predictive Model (2021)
Journal Article
Pereira, F. D., Fonseca, S. C., Oliveira, E. H., Cristea, A. I., Bellhauser, H., Rodrigues, L., …Carvalho, L. S. (2021). Explaining Individual and Collective Programming Students’ Behavior by Interpreting a Black-Box Predictive Model. IEEE Access, 9, 117097-117119. https://doi.org/10.1109/access.2021.3105956

Predicting student performance as early as possible and analysing to which extent initial student behaviour could lead to failure or success is critical in introductory programming (CS1) courses, for allowing prompt intervention in a move towards all... Read More about Explaining Individual and Collective Programming Students’ Behavior by Interpreting a Black-Box Predictive Model.

Interleaving as Cultural Technique in the Audio CD and the End of Archaeophonography (2021)
Journal Article
Bell, E. (2021). Interleaving as Cultural Technique in the Audio CD and the End of Archaeophonography. Media theory, 5(1), 115-146

This article discusses a significant if imperceptible feature of how audio compact discs (CDs) inscribe sound: interleaving. It shows how CDs materialize interleaving—the microtemporal re-ordering of data—as a cultural technique of contemporary digit... Read More about Interleaving as Cultural Technique in the Audio CD and the End of Archaeophonography.

Electronic records management – a state of the art review (2021)
Journal Article
Oladejo, B., & Hadžidedić, S. (2021). Electronic records management – a state of the art review. Records Management Journal, 31(1), 74-88. https://doi.org/10.1108/rmj-09-2019-0059

Purpose: This paper aims to examine the state of the art in electronic records management (ERM) with the goal of identifying the prevailing research topics, gaps and issues in the field. Design/methodology/approach: First, a wide search was performed... Read More about Electronic records management – a state of the art review.

On the Use of Deep Learning for Imaging-Based COVID-19 Detection Using Chest X-rays (2021)
Journal Article
Okolo, G. I., Katsigiannis, S., Althobaiti, T., & Ramzan, N. (2021). On the Use of Deep Learning for Imaging-Based COVID-19 Detection Using Chest X-rays. Sensors, 21(17), Article 5702. https://doi.org/10.3390/s21175702

The global COVID-19 pandemic that started in 2019 and created major disruptions around the world demonstrated the imperative need for quick, inexpensive, accessible and reliable diagnostic methods that would allow the detection of infected individual... Read More about On the Use of Deep Learning for Imaging-Based COVID-19 Detection Using Chest X-rays.