49 citations · 109 across the 17 of their papers we have counts for
17 papers
TrueReason: An Exemplar Personalised Learning System Integrating Reasoning with Foundational Models
Sahan Bulathwela, Daniel Van Niekerk, Jarrod Shipton +3
Personalised education is one of the domains that can greatly benefit from the most recent advances in Artificial Intelligence (AI) and Large Language Models (LLM). However, it is…
Stereotype Detection in LLMs: A Multiclass, Explainable, and Benchmark-Driven Approach
Zekun Wu, Sahan Bulathwela, Maria Perez-Ortiz +1
Stereotype detection is a challenging and subjective task, as certain statements, such as "Black people like to play basketball," may not appear overtly toxic but still reinforce r…
Can Reinforcement Learning support policy makers? A preliminary study with Integrated Assessment Models
Theodore Wolf, Nantas Nardelli, John Shawe-Taylor +1
Governments around the world aspire to ground decision-making on evidence. Many of the foundations of policy making - e.g. sensing patterns that relate to societal needs, developin…
Can Population-based Engagement Improve Personalisation? A Novel Dataset and Experiments
Sahan Bulathwela, Meghana Verma, Maria Perez-Ortiz +2
This work explores how population-based engagement prediction can address cold-start at scale in large learning resource collections. The paper introduces i) VLE, a novel dataset t…
Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos?
Maria Perez-Ortiz, Sahan Bulathwela, Claire Dormann +6
Prior research has shown how 'content preview tools' improve speed and accuracy of user relevance judgements across different information retrieval tasks. This paper describes a no…
Progress in Self-Certified Neural Networks
Maria Perez-Ortiz, Omar Rivasplata, Emilio Parrado-Hernandez +2
A learning method is self-certified if it uses all available data to simultaneously learn a predictor and certify its quality with a tight statistical certificate that is valid on…
An AI-based Learning Companion Promoting Lifelong Learning Opportunities for All
Maria Perez-Ortiz, Erik Novak, Sahan Bulathwela +1
Artifical Intelligence (AI) in Education has great potential for building more personalised curricula, as well as democratising education worldwide and creating a Renaissance of ne…
Learning PAC-Bayes Priors for Probabilistic Neural Networks
Maria Perez-Ortiz, Omar Rivasplata, Benjamin Guedj +5
Recent works have investigated deep learning models trained by optimising PAC-Bayes bounds, with priors that are learnt on subsets of the data. This combination has been shown to l…
PEEK: A Large Dataset of Learner Engagement with Educational Videos
Sahan Bulathwela, Maria Perez-Ortiz, Erik Novak +2
Educational recommenders have received much less attention in comparison to e-commerce and entertainment-related recommenders, even though efficient intelligent tutors have great p…
Consolidated Dataset and Metrics for High-Dynamic-Range Image Quality
Aliaksei Mikhailiuk, Maria Perez-Ortiz, Dingcheng Yue +2
Increasing popularity of high-dynamic-range (HDR) image and video content brings the need for metrics that could predict the severity of image impairments as seen on displays of di…
VLEngagement: A Dataset of Scientific Video Lectures for Evaluating Population-based Engagement
Sahan Bulathwela, Maria Perez-Ortiz, Emine Yilmaz +1
With the emergence of e-learning and personalised education, the production and distribution of digital educational resources have boomed. Video lectures have now become one of the…
Active Sampling for Pairwise Comparisons via Approximate Message Passing and Information Gain Maximization
Aliaksei Mikhailiuk, Clifford Wilmot, Maria Perez-Ortiz +2
Pairwise comparison data arise in many domains with subjective assessment experiments, for example in image and video quality assessment. In these experiments observers are asked t…
Towards an Integrative Educational Recommender for Lifelong Learners
Sahan Bulathwela, Maria Perez-Ortiz, Emine Yilmaz +1
One of the most ambitious use cases of computer-assisted learning is to build a recommendation system for lifelong learning. Most recommender algorithms exploit similarities betwee…
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources
Sahan Bulathwela, Maria Perez-Ortiz, Emine Yilmaz +1
The recent advances in computer-assisted learning systems and the availability of open educational resources today promise a pathway to providing cost-efficient, high-quality educa…
Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets
Maria Perez-Ortiz, Peter Tino, Rafal Mantiuk +1
Data augmentation is rapidly gaining attention in machine learning. Synthetic data can be generated by simple transformations or through the data distribution. In the latter case,…
A mixture of experts model for predicting persistent weather patterns
Maria Perez-Ortiz, Pedro A. Gutierrez, Peter Tino +2
Weather and atmospheric patterns are often persistent. The simplest weather forecasting method is the so-called persistence model, which assumes that the future state of a system w…
A practical guide and software for analysing pairwise comparison experiments
Maria Perez-Ortiz, Rafal K. Mantiuk
Most popular strategies to capture subjective judgments from humans involve the construction of a unidimensional relative measurement scale, representing order preferences or judgm…