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@article{Zhang2019Manifold, title = {{Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models}}, author = {Zhang, Jiawei and Wang, Yang and Molino, Piero and Li, Lezhi and Ebert, David S.}, journal = {IEEE Transactions on Visualization and Computer Graphics}, year = {2019}, publisher = {Institute of Electrical and Electronics Engineers ({IEEE})}, month = {Jan.}, doi = {10.1109/TVCG.2018.2864499}, }
Jiawei Zhang, Yang Wang, Piero Molino, Lezhi Li, and David S. Ebert. 2019. Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models. IEEE Transactions on Visualization and Computer Graphics, pp. . DOI: https://doi.org/10.1109/TVCG.2018.2864499
Zhang, Jiawei, Wang, Yang, Molino, Piero, Li, Lezhi, and Ebert, David S.. "Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models". IEEE Transactions on Visualization and Computer Graphics, pp. . 2019.
Zhang, J., Wang, Y., Molino, P., Li, L., & Ebert, D. (2019). Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models. IEEE Transactions on Visualization and Computer Graphics, pp. .
Zhang, J., Wang, Y., Molino, P., Li, L., Ebert, D., 2019. Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models.IEEE Transactions on Visualization and Computer Graphics, pp.
Zhang J, Wang Y, Molino P, Li L, Ebert D. Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models.IEEE Transactions on Visualization and Computer Graphics2019 Jan; pp. .
Zhang, Jiawei, Wang, Yang, Molino, Piero, Li, Lezhi, and Ebert, David S. "Manifold: A Model-Agnostic Framework for Interpretation and Diagnosis of Machine Learning Models". IEEE Transactions on Visualization and Computer Graphics, pp. . 2019.