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09/20/2023
TrueLearn: A Python Library for Personalised Informational Recommendations with (Implicit) Feedback
This work describes the TrueLearn Python library, which contains a famil...
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10/10/2022
Comparing the carbon costs and benefits of low-resource solar nowcasting
Solar PV yield nowcasting is used to help anticipate peaks and troughs i...
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06/22/2022
Can Population-based Engagement Improve Personalisation? A Novel Dataset and Experiments
This work explores how population-based engagement prediction can addres...
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01/10/2022
Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos?
Prior research has shown how 'content preview tools' improve speed and a...
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12/08/2021
Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems
In informational recommenders, many challenges arise from the need to ha...
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12/03/2021
Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolution
Artificial Intelligence (AI) in Education has been said to have the pote...
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11/16/2021
An AI-based Learning Companion Promoting Lifelong Learning Opportunities for All
Artifical Intelligence (AI) in Education has great potential for buildin...
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11/15/2021
Progress in Self-Certified Neural Networks
A learning method is self-certified if it uses all available data to sim...
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09/21/2021
Learning PAC-Bayes Priors for Probabilistic Neural Networks
Recent works have investigated deep learning models trained by optimisin...
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09/03/2021
PEEK: A Large Dataset of Learner Engagement with Educational Videos
Educational recommenders have received much less attention in comparison...
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12/19/2020
Consolidated Dataset and Metrics for High-Dynamic-Range Image Quality
Increasing popularity of high-dynamic-range (HDR) image and video conten...
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12/07/2020
A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings
Many practical machine learning tasks can be framed as Structured predic...
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11/02/2020
VLEngagement: A Dataset of Scientific Video Lectures for Evaluating Population-based Engagement
With the emergence of e-learning and personalised education, the product...
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07/25/2020
Tighter risk certificates for neural networks
This paper presents empirical studies regarding training probabilistic n...
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05/31/2020
Predicting Engagement in Video Lectures
The explosion of Open Educational Resources (OERs) in the recent years c...
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04/12/2020
Active Sampling for Pairwise Comparisons via Approximate Message Passing and Information Gain Maximization
Pairwise comparison data arise in many domains with subjective assessmen...
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12/03/2019
Towards an Integrative Educational Recommender for Lifelong Learners
One of the most ambitious use cases of computer-assisted learning is to ...
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11/21/2019
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources
The recent advances in computer-assisted learning systems and the availa...
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03/24/2019
Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets
Data augmentation is rapidly gaining attention in machine learning. Synt...
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03/24/2019
A mixture of experts model for predicting persistent weather patterns
Weather and atmospheric patterns are often persistent. The simplest weat...
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12/11/2017
