Human comprehensible active learning of genome-scale metabolic network.
Ai, L.,
Liang, S.-S.,
Dai, W.-Z.,
Hallett, L.,
Muggleton, S. H.,
and Baldwin., G. S.
AAAI 2023 Spring Symposium on Computational Approaches to Scientific Discovery,
2023.
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Explanatory machine learning for sequential human teaching.
Ai, L.,
Langer, J.,
Muggleton, S. H.,
and Schmid, U.
Machine Learning,
2023.
@article{sequential_teaching,abbr={MLJ},bibtex_show={true},author={Ai, L. and Langer, J. and Muggleton, S. H. and Schmid, U.},year={2023},title={Explanatory machine learning for sequential human teaching},journal={Machine Learning},doi={https://doi.org/10.1007/s10994-023-06351-8},html={https://link.springer.com/article/10.1007/s10994-023-06351-8}}
Beneficial and harmful explanatory machine learning.
Ai, L.,
Muggleton, S. H.,
Hocquette, C.,
Gromowski, M.,
and Schmid, U.
Machine Learning,
2021.
@article{beneficial_harmful,abbr={MLJ},bibtex_show={true},author={Ai, L. and Muggleton, S. H. and Hocquette, C. and Gromowski, M. and Schmid, U.},year={2021},title={Beneficial and harmful explanatory machine learning},journal={Machine Learning},doi={https://doi.org/10.1007/s10994-020-05941-0},html={https://link.springer.com/article/10.1007/s10994-020-05941-0}}