Sahan Bulathwela

According to our database, Sahan Bulathwela authored at least 22 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

A Toolbox for Modelling Engagement with Educational Videos.

Yuxiang Qiu, Karim Djemili, Denis Elezi, Aaneel Shalman Srazali, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor, Sahan Bulathwela

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Towards Auditing Large Language Models: Improving Text-based Stereotype Detection.

Zekun Wu, Sahan Bulathwela, Adriano Soares Koshiyama

CoRR, 2023

TrueLearn: A Python Library for Personalised Informational Recommendations with (Implicit) Feedback.

Yuxiang Qiu, Karim Djemili, Denis Elezi, Aaneel Shalman, María Pérez-Ortiz, Sahan Bulathwela

Proceedings of the 6th Workshop on Online Recommender Systems and User Modeling co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Scalable Educational Question Generation with Pre-trained Language Models.

Sahan Bulathwela, Hamze Muse, Emine Yilmaz

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

Pre-training with Scientific Text Improves Educational Question Generation (Student Abstract).

Hamze Muse, Sahan Bulathwela, Emine Yilmaz

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Pre-Training With Scientific Text Improves Educational Question Generation.

Hamze Muse, Sahan Bulathwela, Emine Yilmaz

CoRR, 2022

Can Population-based Engagement Improve Personalisation? A Novel Dataset and Experiments.

Sahan Bulathwela, Meghana Verma, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Towards Proactive Information Retrieval in Noisy Text with Wikipedia Concepts.

Tabish Ahmed, Sahan Bulathwela

Proceedings of the CIKM 2022 Workshops co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

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

María Pérez-Ortiz, Sahan Bulathwela, Claire Dormann, Meghana Verma, Stefan Kreitmayer, Richard Noss, John Shawe-Taylor, Yvonne Rogers, Emine Yilmaz

Proceedings of the CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval, Regensburg, Germany, March 14, 2022

2021

Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems.

Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor

CoRR, 2021

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

Sahan Bulathwela, María Pérez-Ortiz, Catherine Holloway, John Shawe-Taylor

CoRR, 2021

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

María Pérez-Ortiz, Erik Novak, Sahan Bulathwela, John Shawe-Taylor

CoRR, 2021

PEEK: A Large Dataset of Learner Engagement with Educational Videos.

Sahan Bulathwela, María Pérez-Ortiz, Erik Novak, Emine Yilmaz, John Shawe-Taylor

CoRR, 2021

X5Learn: A Personalised Learning Companion at the Intersection of AI and HCI.

María Pérez-Ortiz, Claire Dormann, Yvonne Rogers, Sahan Bulathwela, Stefan Kreitmayer, Emine Yilmaz, Richard Noss, John Shawe-Taylor

Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

2020

Report on the WSDM 2020 workshop on state-based user modelling (SUM'20).

Sahan Bulathwela, María Pérez-Ortiz, Rishabh Mehrotra, Davor Orlic, Colin de la Higuera, John Shawe-Taylor, Emine Yilmaz

SIGIR Forum, 2020

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

Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor

CoRR, 2020

SUM'20: State-based User Modelling.

Sahan Bulathwela, María Pérez-Ortiz, Rishabh Mehrotra, Davor Orlic, Colin de la Higuera, John Shawe-Taylor, Emine Yilmaz

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

What's in it for me?: Augmenting Recommended Learning Resources with Navigable Annotations.

Sahan Bulathwela, Stefan Kreitmayer, María Pérez-Ortiz

Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

Predicting Engagement in Video Lectures.

Sahan Bulathwela, María Pérez-Ortiz, Aldo Lipani, Emine Yilmaz, John Shawe-Taylor

Proceedings of the 13th International Conference on Educational Data Mining, 2020

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

Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract).

Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Towards an Integrative Educational Recommender for Lifelong Learners.

Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz, John Shawe-Taylor

CoRR, 2019