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Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos?


Jan 10, 2022
Maria Perez-Ortiz, Sahan Bulathwela, Claire Dormann, Meghana Verma, Stefan Kreitmayer, Richard Noss, John Shawe-Taylor, Yvonne Rogers, Emine Yilmaz

* Published at the ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR'22) 

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Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems


Dec 08, 2021
Sahan Bulathwela, MarĂ­a PĂ©rez-Ortiz, Emine Yilmaz, John Shawe-Taylor

* Presented at the First International Workshop on Joint Use of Probabilistic Graphical Models and Ontology at Conference on Knowledge Graph and Semantic Web 2021 

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Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolution


Dec 03, 2021
Sahan Bulathwela, MarĂ­a PĂ©rez-Ortiz, Catherine Holloway, John Shawe-Taylor

* To be presented at Workshop on Machine Learning for the Developing World (ML4D) at the Conference on Neural Information Processing Systems 2021 

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Progress in Self-Certified Neural Networks


Nov 23, 2021
Maria Perez-Ortiz, Omar Rivasplata, Emilio Parrado-Hernandez, Benjamin Guedj, John Shawe-Taylor

* Published at NeurIPS 2021 workshop: Bayesian Deep Learning 
* arXiv admin note: substantial text overlap with arXiv:2109.10304 

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An AI-based Learning Companion Promoting Lifelong Learning Opportunities for All


Nov 16, 2021
Maria Perez-Ortiz, Erik Novak, Sahan Bulathwela, John Shawe-Taylor

* Published as an Opinion Report from the International Research Centre on Artificial Intelligence under the auspices of UNESCO 

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Learning PAC-Bayes Priors for Probabilistic Neural Networks


Sep 21, 2021
Maria Perez-Ortiz, Omar Rivasplata, Benjamin Guedj, Matthew Gleeson, Jingyu Zhang, John Shawe-Taylor, Miroslaw Bober, Josef Kittler


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PEEK: A Large Dataset of Learner Engagement with Educational Videos


Sep 13, 2021
Sahan Bulathwela, Maria Perez-Ortiz, Erik Novak, Emine Yilmaz, John Shawe-Taylor

* To be published at ORSUM '21: 4th Workshop on Online Recommender Systems and User Modeling at ACM RecSys 2021 

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A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings


Dec 21, 2020
Théophile Cantelobre, Benjamin Guedj, María Pérez-Ortiz, John Shawe-Taylor

* 38 pages 

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Upper and Lower Bounds on the Performance of Kernel PCA


Dec 18, 2020
Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor

* 27 pages 

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VLEngagement: A Dataset of Scientific Video Lectures for Evaluating Population-based Engagement


Nov 02, 2020
Sahan Bulathwela, Maria Perez-Ortiz, Emine Yilmaz, John Shawe-Taylor


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Tighter risk certificates for neural networks


Aug 12, 2020
María Pérez-Ortiz, Omar Rivasplata, John Shawe-Taylor, Csaba Szepesvári

* Preprint under review 

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PAC-Bayes Analysis Beyond the Usual Bounds


Jun 23, 2020
Omar Rivasplata, Ilja Kuzborskij, Csaba Szepesvari, John Shawe-Taylor

* Enhanced version of the paper with the same title presented at the NeurIPS 2019 Workshop on Machine Learning with Guarantees. Important update: the PAC-Bayes bound for unbounded loss functions (Section 2.3) is new 

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PAC-Bayes unleashed: generalisation bounds with unbounded losses


Jun 12, 2020
Maxime Haddouche, Benjamin Guedj, Omar Rivasplata, John Shawe-Taylor


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Predicting Engagement in Video Lectures


Jun 10, 2020
Sahan Bulathwela, MarĂ­a PĂ©rez-Ortiz, Aldo Lipani, Emine Yilmaz, John Shawe-Taylor

* In Proceedings of International Conference on Educational Data Mining 2020 

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Correlated Feature Selection with Extended Exclusive Group Lasso


Feb 27, 2020
Yuxin Sun, Benny Chain, Samuel Kaski, John Shawe-Taylor

* 10 pages, 4 figures 

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Towards an Integrative Educational Recommender for Lifelong Learners


Dec 03, 2019
Sahan Bulathwela, Maria Perez-Ortiz, Emine Yilmaz, John Shawe-Taylor

* In Proceedings of AAAI Conference on Artificial Intelligence 2020 

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TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources


Nov 21, 2019
Sahan Bulathwela, Maria Perez-Ortiz, Emine Yilmaz, John Shawe-Taylor

* In Proceedings of AAAI Conference on Artificial Intelligence 2020 

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Constructing Artificial Data for Fine-tuning for Low-Resource Biomedical Text Tagging with Applications in PICO Annotation


Oct 21, 2019
Gaurav Singh, Zahra Sabet, John Shawe-Taylor, James Thomas

* NLP 

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Data-Driven Malaria Prevalence Prediction in Large Densely-Populated Urban Holoendemic sub-Saharan West Africa: Harnessing Machine Learning Approaches and 22-years of Prospectively Collected Data


Jun 18, 2019
Biobele J. Brown, Alexander A. Przybylski, Petru Manescu, Fabio Caccioli, Gbeminiyi Oyinloye, Muna Elmi, Michael J. Shaw, Vijay Pawar, Remy Claveau, John Shawe-Taylor, Mandayam A. Srinivasan, Nathaniel K. Afolabi, Adebola E. Orimadegun, Wasiu A. Ajetunmobi, Francis Akinkunmi, Olayinka Kowobari, Kikelomo Osinusi, Felix O. Akinbami, Samuel Omokhodion, Wuraola A. Shokunbi, Ikeoluwa Lagunju, Olugbemiro Sodeinde, Delmiro Fernandez-Reyes

* 40 pages, 10 figures 

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Deep Learning Enhanced Extended Depth-of-Field for Thick Blood-Film Malaria High-Throughput Microscopy


Jun 18, 2019
Petru Manescu, Lydia Neary- Zajiczek, Michael J. Shaw, Muna Elmi, Remy Claveau, Vijay Pawar, John Shawe-Taylor, Iasonas Kokkinos, Mandayam A. Srinivasan, Ikeoluwa Lagunju, Olugbemiro Sodeinde, Biobele J. Brown, Delmiro Fernandez-Reyes

* 10 pages, 4 figures 

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Perturbed Model Validation: A New Framework to Validate Model Relevance


May 27, 2019
Jie M. Zhang, Earl T. Barr, Benjamin Guedj, Mark Harman, John Shawe-Taylor

* 10 pages 

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Interlacing Personal and Reference Genomes for Machine Learning Disease-Variant Detection


Nov 26, 2018
Luke R Harries, Suyi Zhang, Geoffroy Dubourg-Felonneau, James H R Farmery, Jonathan Sinai, Belle Taylor, Nirmesh Patel, John W Cassidy, John Shawe-Taylor, Harry W Clifford

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:cs/0101200 

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Faster Convergence & Generalization in DNNs


Oct 10, 2018
Gaurav Singh, John Shawe-Taylor

* 9 pages, 6 figures 

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Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree Decoding


Oct 02, 2018
Gaurav Singh, James Thomas, Iain J. Marshall, John Shawe-Taylor, Byron C. Wallace

* Accepted for Publication in EMNLP 2018 

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PAC-Bayes bounds for stable algorithms with instance-dependent priors


Aug 30, 2018
Omar Rivasplata, Emilio Parrado-Hernandez, John Shawe-Taylor, Shiliang Sun, Csaba Szepesvari

* 16 pages, discussion of theory and experiments in the main body, detailed proofs and experimental details in the appendices 

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