| Influence reasoning capabilities of large language models in social environments L Gassmann, J Campbell, M Edwards Proceedings of the AAAI Symposium Series 4 (1), 40-47, 2024 | 6 | 2024 |
| Predicting interpersonal influence from conversational features L Gassmann, R McConville, M Edwards 2023 10th International Conference on Behavioural and Social Computing (BESC …, 2023 | 6 | 2023 |
| An automated Home Secretary: Evaluating the ability of large language models to understand extremist conversations J Stevenson, L Gassmann, M Edwards European Interdisciplinary Cybersecurity Conference, 3-19, 2025 | 2 | 2025 |
| Fostering the development of computer science graduate employability through agile projects J Allison, A Alam, L Gassmann, G Nelson, K Zidan Journal of Further and Higher Education 48 (4), 417-435, 2024 | 2 | 2024 |
| A methodology for surveying gradients of influence on social media platforms using multi-media content L Gassmann, M Edwards, R McConville European Starting AI Researchers’ Symposium, 2023 | 2 | 2023 |
| Leading the Mastodon herd: Analysing the traits of influential leaders on a decentralised social media platform L Gassmann, R McConville, M Edwards 2024 IEEE International Conference on Big Data (BigData), 2939-2948, 2024 | 1 | 2024 |
| Designing an Automated Machine Learning Approach for Transformer Architecture in Education and Non-STEM Research Settings L Gassmann, J Campbell Science and Information Conference, 182-200, 2024 | | 2024 |
| Detecting Influence in Online Social Networks using Conversational Features. LD Gassmann, LD Gassmann military thought 43 (3), 257-283, 2024 | | 2024 |
| Reducing Web-Latency in Cloud Operating Systems to Simplify User Transitions to the Cloud L Gassmann, A Alam Science and Information Conference, 178-195, 2022 | | 2022 |
Matthew EdwardsUniversity of BristolVerified email at bristol.ac.uk
