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Lun Ai
Lun Ai
Doctoral Associate, Department of Computing, Imperial College London
在 imperial.ac.uk 的电子邮件经过验证 - 首页
标题
引用次数
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年份
Beneficial and harmful explanatory machine learning
L Ai, SH Muggleton, C Hocquette, M Gromowski, U Schmid
Machine Learning 110, 695-721, 2021
412021
Explanatory machine learning for sequential human teaching
L Ai, J Langer, SH Muggleton, U Schmid
Machine Learning 112 (10), 3591-3632, 2023
22023
Active learning of digenic functions with boolean matrix logic programming
L Ai, SH Muggleton, S Liang, GS Baldwin
arXiv preprint arXiv:2408.14487, 2024
2024
Boolean Matrix Logic Programming
L Ai, SH Muggleton
arXiv preprint arXiv:2408.10369, 2024
2024
Simulating Petri nets with Boolean Matrix Logic Programming
L Ai, SH Muggleton, SS Liang, GS Baldwin
arXiv preprint arXiv:2405.11412, 2024
2024
Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models
L Ai, SH Muggleton, SS Liang, GS Baldwin
arXiv preprint arXiv:2405.06724, 2024
2024
Effects of machine-learned logic theories on human comprehension in machine-human teaching
L Ai
https://doi.org/10.25560/112264, 2024
2024
Human Comprehensible Active Learning of Genome-Scale Metabolic Networks
L Ai, SS Liang, WZ Dai, L Hallett, SH Muggleton, GS Baldwin
arXiv preprint arXiv:2308.12740, 2023
2023
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