Sustainability and Machine Learning Group
Sustainability and Machine Learning Group
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John Shawe-Taylor
Publications
Challenging Systematic Prejudices: An Investigation into Bias Against Women and Girls (2024)
Leveraging Semantic Knowledge Graphs in Educational Recommenders to Address the Cold-Start Problem (2023)
Network topological determinants of pathogen spread (2022)
Power to the Learner: Towards Human-Intuitive and Integrative Recommendations with Open Educational Resources (2022)
Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos? (2022)
Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolution (2021)
Learning PAC-Bayes Priors for Probabilistic Neural Networks (2021)
PEEK: A Large Dataset of Learner Engagement with Educational Videos (2021)
Progress in Self-Certified Neural Networks (2021)
Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems (2021)
Tighter Risk Certificates for Neural Networks (2021)
X5Learn: A Personalised Learning Companion at the Intersection of AI and HCI (2021)
A PAC-Bayesian perspective on structured prediction with implicit loss embeddings (2020)
Predicting Engagement in Video Lectures (2020)
SUM'20: State-based User Modelling (2020)
Towards self-certified learning: Probabilistic neural networks trained by PAC-Bayes with Backprop (2020)
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources (2020)
VLEngagement: A dataset of scientific video lectures for evaluating population-based engagement (2020)
Towards an Integrative Educational Recommender for Lifelong Learners (2019)
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