Outputs (129)

A Deep Learning Approach for Paragraph-Level Paraphrase Generation for Plagiarism Detection (2025)
Journal Article
Saqaabi, A. A., Stewart, C., Akrida, E., & Cristea, A. I. (2025). A Deep Learning Approach for Paragraph-Level Paraphrase Generation for Plagiarism Detection. Neural Processing Letters, 57, 59. https://doi.org/10.1007/s11063-025-11771-9

Expressing information in different forms is an important skill that students should develop in school. This skill positively impacts academic reading and writing. However, it can also lead to negative consequences, such as plagiarism. Students may p... Read More about A Deep Learning Approach for Paragraph-Level Paraphrase Generation for Plagiarism Detection.

Explainable artificial intelligence and advanced feature selection methods for predicting gas concentration in longwall mining (2025)
Journal Article
Chang, H., Wang, X., Cristea, A. I., Meng, X., Hu, Z., & Pan, Z. (2025). Explainable artificial intelligence and advanced feature selection methods for predicting gas concentration in longwall mining. Information Fusion, 118, Article 102976. https://doi.org/10.1016/j.inffus.2025.102976

Accurate prediction of gas concentrations at longwall mining faces is critical for safety production, yet current methods still face challenges in interpretability and reliability. This study aims to enhance prediction accuracy and model interpretabi... Read More about Explainable artificial intelligence and advanced feature selection methods for predicting gas concentration in longwall mining.

Prediction of sentiment polarity in restaurant reviews using an ordinal regression approach based on evolutionary XGBoost (2025)
Journal Article
Al-Qudah, D. A., Al-Zoubi, A. M., Cristea, A. I., Merelo-Guervós, J. J., Castillo, P. A., & Faris, H. (2025). Prediction of sentiment polarity in restaurant reviews using an ordinal regression approach based on evolutionary XGBoost. PeerJ Computer Science, 11, Article e2370. https://doi.org/10.7717/peerj-cs.2370

As the business world shifts to the web and tremendous amounts of data become available on multilingual mobile applications, new business and research challenges and opportunities have been explored. This research aims to intensify the usage of data... Read More about Prediction of sentiment polarity in restaurant reviews using an ordinal regression approach based on evolutionary XGBoost.

Integrating Speech Input in Educational Immersive Virtual Reality Applications: A Systematic Review (2024)
Presentation / Conference Contribution
Alghamdi, N., & Cristea, A. I. (2024, August). Integrating Speech Input in Educational Immersive Virtual Reality Applications: A Systematic Review. Presented at 2024 IEEE 12th International Conference on Intelligent Systems (IS), Varna, Bulgaria

The topic of immersive virtual reality (IVR) in education has gained increasing attention in recent years, due to its potential to enhance learner outcomes and to mitigate learning costs. As we can capture a multitude of information from speech and g... Read More about Integrating Speech Input in Educational Immersive Virtual Reality Applications: A Systematic Review.

Reducing University Students’ Exam Anxiety via Mindfulness-Based Cognitive Therapy in VR with Real-Time EEG Neurofeedback (2024)
Presentation / Conference Contribution
Pan, Z., Cristea, A. I., & Li, F. W. B. (2024, July). Reducing University Students’ Exam Anxiety via Mindfulness-Based Cognitive Therapy in VR with Real-Time EEG Neurofeedback. Presented at AIED 2024: Artificial Intelligence in Education, Recife, Brazil

This research aims to develop and evaluate a novel approach to reduce university students’ exam anxiety and teach them how to better manage it using a personalised, emotion-informed Mindfulness-Based Cognitive Therapy (MBCT) method, delivered within... Read More about Reducing University Students’ Exam Anxiety via Mindfulness-Based Cognitive Therapy in VR with Real-Time EEG Neurofeedback.

Natural Language Processing for a Personalised Educational Experience in Virtual Reality (2024)
Presentation / Conference Contribution
Alghamdi, N., & Cristea, A. I. (2024, July). Natural Language Processing for a Personalised Educational Experience in Virtual Reality. Presented at Artificial Intelligence in Education (AIED 2024), Recife, Brazil

Virtual Reality (VR) is a technology that creates a simulated immersive environment, allowing users to be more engaged and interactive. The user can interact with a VR environment using head-mounted displays, hand controllers, and, in some cases, spe... Read More about Natural Language Processing for a Personalised Educational Experience in Virtual Reality.

Virtual Reality (VR) in Safety Education: A Case Study of Mining Engineering (2024)
Presentation / Conference Contribution
Chang, H., Pan, Z., & Cristea, A. I. (2024, July). Virtual Reality (VR) in Safety Education: A Case Study of Mining Engineering. Presented at AIED 2024: Artificial Intelligence in Education, Recife, Brazil

Safety education and training are vital in the mining industry. However, traditional training relies on passive modalities, such as lectures, videos and brochures. These suffer from sever limitations - poor reproducibility, inefficient resource utili... Read More about Virtual Reality (VR) in Safety Education: A Case Study of Mining Engineering.

Doctoral Colloquium—How Interactivity and Presence Affect Learning in Immersive Virtual Reality: A Mixed Methods Study Design (2024)
Presentation / Conference Contribution
Fern, N., Cristea, A. I., Nolan, S., & Stewart, C. (2024, June). Doctoral Colloquium—How Interactivity and Presence Affect Learning in Immersive Virtual Reality: A Mixed Methods Study Design. Presented at 10th International Conference of the Immersive Learning Research Network, Glasgow, Scotland, UK

This doctoral colloquium paper describes a mixed-methods study to investigate the impact of high interactivity Immersive Virtual Reality (iVR) materials on learning in higher education. It is motivated by the changing landscape of iVR technology and... Read More about Doctoral Colloquium—How Interactivity and Presence Affect Learning in Immersive Virtual Reality: A Mixed Methods Study Design.

Paraphrase Generation and Identification at Paragraph-Level (2024)
Presentation / Conference Contribution
Al Saqaabi, A., Stewart, C., Akrida, E., & Cristea, A. I. (2024, June). Paraphrase Generation and Identification at Paragraph-Level. Presented at Generative Intelligence and Intelligent Tutoring Systems ITS 2024, Thessaloniki, Greece

Towards Neuro-Enhanced Education: A Systematic Review of BCI-Assisted Development for Non-academic Skills and Abilities (2024)
Presentation / Conference Contribution
Pan, Z., & Cristea, A. I. (2024, June). Towards Neuro-Enhanced Education: A Systematic Review of BCI-Assisted Development for Non-academic Skills and Abilities. Presented at ITS 2024: Generative Intelligence and Intelligent Tutoring Systems, Thessaloniki, Greece

Students’ success in the 21st century demands not only strong academic skills but also well-developed Non-academic Skills and Abilities (NaSAs) such as critical thinking, concentration, and emotion regulation. The emerging field of Brain-Computer Int... Read More about Towards Neuro-Enhanced Education: A Systematic Review of BCI-Assisted Development for Non-academic Skills and Abilities.