Nicolay Rusnachenko
Dr Huizhi Liang
Dr Lei Shi
| ARElight: Context Sampling of Large Texts for Deep Learning Relation Extraction | 2024 |
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Dr Lei Shi
| Automated Generation of ICD-11 Cluster Codes for Precision Medical Record Classification | 2024 |
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Dr Lei Shi
| Comparative Efficacy of 2D and 3D Virtual Reality Games in American Sign Language Learning | 2024 |
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Dr Lei Shi
| Element-conditioned GAN for graphic layout generation | 2024 |
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Dr Lei Shi
| Enhancing User Experience in Chinese Initial Text Conversations with Personalised AI-Powered Assistant | 2024 |
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Dr Lei Shi
| Hand gesture recognition for user-defined textual inputs and gestures | 2024 |
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Dr Lei Shi
| Impact of Personalised AI Chat Assistant on Mediated Human-Human Textual Conversations: Exploring Female-Male Differences | 2024 |
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Dr Lei Shi
| LBKT: A LSTM BERT-based Knowledge Tracing Model for Long-Sequence Data | 2024 |
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Dr Lei Shi
Professor Aad van Moorsel
| The Face of Deception: The Impact of AI-Generated Photos on Malicious Social Bots | 2024 |
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Dr Lei Shi
| A Visualization Method of Knowledge Graphs for the Computation and Comprehension of Ultrasound Reports | 2023 |
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Dr Shola Olabode
Becca Owens
Dr Viana Nijia Zhang
Dr Jehana Copilah-Ali
Professor Cristina Neesham
et al. | Complex Online Harms and the Smart Home: A Scoping Review | 2023 |
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Dr Lei Shi
| Emocolor: An assistant design method for emotional color matching based on semantics and images | 2023 |
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Dr Lei Shi
| Label-based Topic Modeling to Enhance Medical Triage for Medical Triage Robots | 2023 |
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Dr Lei Shi
| Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation | 2023 |
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Becca Owens
Jehana Copilah-Ali
Dr Shola Olabode
Viana Zhang
Professor Abi Durrant
et al. | Reimagining AI Governance: a Response by AGENCY to the UK Government's White Paper AI Regulation | 2023 |
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Dr Lei Shi
| Sim-GAIL: A Generative Adversarial Imitation Learning Approach of Student Modelling for Intelligent Tutoring Systems | 2023 |
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Dr Lei Shi
| Towards Student Behaviour Simulation: A Decision Transformer Based Approach | 2023 |
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Dr Lei Shi
| User-Defined Hand Gesture Interface to Improve User Experience of Learning American Sign Language | 2023 |
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Dr Lei Shi
| AI‐driven user aesthetics preference prediction for UI layouts via deep convolutional neural networks | 2022 |
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Dr Lei Shi
| Balancing Fined-Tuned Machine Learning Models Between Continuous and Discrete Variables - A Comprehensive Analysis Using Educational Data | 2022 |
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Dr Lei Shi
| Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification | 2022 |
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Dr Lei Shi
| Detecting Fine-Grained Emotions on Social Media during Major Disease Outbreaks: Health and Well-being before and during the COVID-19 Pandemic | 2022 |
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Dr Lei Shi
| Efficient Uncertainty Quantification for Multilabel Text Classification | 2022 |
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Dr Lei Shi
| Fine-grained Main Ideas Extraction and Clustering of Online Course Reviews | 2022 |
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Dr Lei Shi
| Fine-grained Main Ideas Extraction and Clustering of Online Course Reviews | 2022 |
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Dr Lei Shi
| INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations | 2022 |
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Dr Noura Al Moubayed
Dr Lei Shi
| Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention | 2022 |
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Dr Lei Shi
| Novel Decision Forest Building Techniques by Utilising Correlation Coefficient Methods | 2022 |
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Dr Lei Shi
| Novel Decision Forest Building Techniques by Utilising Correlation Coefficient Methods | 2022 |
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Dr Lei Shi
| SimStu-Transformer: A Transformer-Based Approach to Simulating Student Behaviour | 2022 |
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Dr Lei Shi
| Tailored gamification in education: A literature review and future agenda | 2022 |
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Dr Lei Shi
| A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs | 2021 |
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Dr Lei Shi
| A Survey of Collaborative Reinforcement Learning: Interactive Methods and Design Patterns | 2021 |
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Dr Lei Shi
| Agent-Based Classroom Environment Simulation: The Effect of Disruptive Schoolchildren’s Behaviour Versus Teacher Control over Neighbours | 2021 |
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Dr Lei Shi
| Agent-based Simulation of the Classroom Environment to Gauge the Effect of Inattentive or Disruptive Students | 2021 |
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Dr Lei Shi
| Capturing Fairness and Uncertainty in Student Dropout Prediction – A Comparison Study | 2021 |
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Dr Lei Shi
| Computational Model for Predicting User Aesthetic Preference for GUI using DCNNs | 2021 |
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Dr Lei Shi
| Early Predictor for Student Success Based on Behavioural and Demographical Indicators | 2021 |
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Dr Lei Shi
| Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums | 2021 |
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Dr Lei Shi
| Wide-Scale Automatic Analysis of 20 Years of ITS Research | 2021 |
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Dr Lei Shi
| Does Tailoring Gamified Educational Systems Matter? The Impact on Students' Flow Experience | 2020 |
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Dr Lei Shi
| Exploring Navigation Styles in a FutureLearn MOOC | 2020 |
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Dr Lei Shi
| Is MOOC Learning Different for Dropouts? A Visually-Driven, Multi-granularity Explanatory ML Approach | 2020 |
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Dr Lei Shi
| Social Interactions Clustering MOOC Students: An Exploratory Study | 2020 |
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Dr Lei Shi
| Temporal Analysis in Massive Open Online Courses – Towards Identifying at-Risk Students Through Analyzing Demographical Changes | 2020 |
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Dr Lei Shi
| Temporal Sentiment Analysis of Learners: Public Versus Private Social Media Communication Channels in a Women-in-Tech Conversion Course | 2020 |
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Dr Lei Shi
| Towards Automatic Flow Experience Identification in Educational Systems: A Qualitative Study | 2020 |
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Dr Lei Shi
| A Taxonomy of Game Elements for Gamification in Educational Contexts: Proposal and Evaluation | 2019 |
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Dr Lei Shi
| Analysing Gamification Elements in Educational Environments Using an Existing Gamification Taxonomy | 2019 |
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Dr Lei Shi
| Demographical Changes of Student Subgroups in MOOCs: Towards Predicting At-Risk Students | 2019 |
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Dr Lei Shi
| Planning Gamification Strategies based on User Characteristics and DM: A Gender-based Case Study | 2019 |
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Dr Lei Shi
| Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week’s Activities | 2019 |
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Dr Lei Shi
| Revealing the Hidden Patterns: A Comparative Study on Profiling Subpopulations of MOOC Students | 2019 |
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Dr Lei Shi
| Social Engagement versus Learning Engagement An Exploratory Study of FutureLearn Learners | 2019 |
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Dr Lei Shi
| Towards Automatic Flow Experience Identification in Educational Systems: A Theory-driven Approach | 2019 |
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Dr Lei Shi
| Validating the Effectiveness of Data-Driven Gamification Recommendations: An Exploratory Study | 2019 |
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Dr Lei Shi
| An intuitive Authoring System for a Personalised, Social, Gamified, Visualisation-supporting e-learning System. | 2018 |
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Dr Lei Shi
| Can Learner Characteristics Predict Their Behaviour on MOOCs? | 2018 |
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Dr Lei Shi
| Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn Courses | 2018 |
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Dr Lei Shi
| How is Learning Fluctuating? FutureLearn MOOCs Fine-grained Temporal Analysis and Feedback to Teachers and Designers | 2018 |
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Dr Lei Shi
| On the need for fine-grained analysis of Gender versus Commenting Behaviour in MOOCs. | 2018 |
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Dr Lei Shi
| Learners Thrive Using Multifaceted Open Social Learner Modeling | 2016 |
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Dr Lei Shi
| Students as Customers: Participatory Design for Adaptive Web 3.0 | 2015 |
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