Lun Ai

12 papers Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models.
Mach. Learn.
Lun Ai, Stephen H. Muggleton, Shi-Shun Liang, Geoff S. Baldwin
2025 J jnl
Ultra Strong Machine Learning: Teaching Humans Active Learning Strategies via Automated AI Explanations.
CoRR
Lun Ai, Johannes Langer, Ute Schmid, Stephen H. Muggleton
2024 — conf
Active Learning of Digenic Functions with Boolean Matrix Logic Programming.
IJCLR
Lun Ai, Stephen H. Muggleton, Shi-Shun Liang, Geoff S. Baldwin
2024 J jnl
Active learning of digenic functions with boolean matrix logic programming.
CoRR
Lun Ai, Stephen H. Muggleton, Shi-Shun Liang, Geoff S. Baldwin
2024 J jnl
Boolean Matrix Logic Programming.
CoRR
Lun Ai, Stephen H. Muggleton
2024 J jnl
Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models.
CoRR
Lun Ai, Stephen H. Muggleton, Shi-Shun Liang, Geoff S. Baldwin
2024 J jnl
Simulating Petri nets with Boolean Matrix Logic Programming.
CoRR
Lun Ai, Stephen H. Muggleton, Shi-Shun Liang, Geoff S. Baldwin
2023 J jnl
Explanatory machine learning for sequential human teaching.
Mach. Learn.
Lun Ai, Johannes Langer, Stephen H. Muggleton, Ute Schmid
2023 J jnl
Human Comprehensible Active Learning of Genome-Scale Metabolic Networks.
CoRR
Lun Ai, Shi-Shun Liang, Wang-Zhou Dai, Liam Hallett, Stephen H. Muggleton, Geoff S. Baldwin
2022 J jnl
Explanatory machine learning for sequential human teaching.
CoRR
Lun Ai, Johannes Langer, Stephen H. Muggleton, Ute Schmid
2021 J jnl
Beneficial and harmful explanatory machine learning.
Mach. Learn.
Lun Ai, Stephen H. Muggleton, Céline Hocquette, Mark Gromowski, Ute Schmid
2020 J jnl
Beneficial and Harmful Explanatory Machine Learning.
CoRR
Lun Ai, Stephen H. Muggleton, Céline Hocquette, Mark Gromowski, Ute Schmid