| When does communication learning need hierarchical multi-agent deep reinforcement learning M Ossenkopf, M Jorgensen, K Geihs Cybernetics and Systems 50 (8), 672-692, 2019 | 7 | 2019 |
| Multi-Class Detection of Abusive Language Using Automated Machine Learning. M Jorgensen, M Choi, M Niemann, J Brunk, J Becker Wirtschaftsinformatik (Zentrale Tracks), 1763-1775, 2020 | 5 | 2020 |
| An interactive big data processing/visualization framework M Jorgensen, J Spohn, C Bunn, S Dong, X Li, D Kaeli 2017 IEEE MIT Undergraduate Research Technology Conference (URTC), 1-4, 2017 | 5 | 2017 |
| Hierarchical multi-agent deep reinforcement learning to develop long-term coordination M Ossenkopf, M Jorgensen, K Geihs Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 922-929, 2019 | 4 | 2019 |
| Not so fair: The impact of presumably fair machine learning models M Jorgensen, H Richert, E Black, N Criado, J Such Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 297-311, 2023 | 3 | 2023 |
| Abusive language detection using auto-machine learning for multiple languages M Jorgensen, M Choi Veritas: Villanova Research Journal 1, 3-4, 2019 | 1 | 2019 |
| ‘Frontier AI,’Power, and the Public Interest: Who benefits, who decides? D Leslie, C Ashurst, NM González, F Griffiths, S Jayadeva, M Jorgensen, ... Harvard Data Science Review, 2024 | | 2024 |
| Investigating the Legality of Bias Mitigation Methods in the United Kingdom M Jorgensen, M Waller, O Cocarascu, N Criado, O Rodrigues, J Such, ... IEEE Technology and Society Magazine 42 (4), 87-94, 2023 | | 2023 |
| Supposedly Fair Classification Systems and Their Impacts. M Jorgensen, E Black, N Criado, JM Such AiOfAi@ IJCAI, 1-12, 2022 | | 2022 |
