Trading-Off Interpretability and Accuracy in Medical Applications: A Study Toward Optimal Explainability of Hoeffding Trees
A. Sharma, D. Leite, C. Demir, A.-C.N. Ngomo, in: 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, 2024.
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Sharma, Arnab;
Leite, Daniel;
Demir, Caglar;
Ngomo, Axel-Cyrille Ngonga
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2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
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Sharma A, Leite D, Demir C, Ngomo A-CN. Trading-Off Interpretability and Accuracy in Medical Applications: A Study Toward Optimal Explainability of Hoeffding Trees. In: 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE; 2024. doi:10.1109/fuzz-ieee60900.2024.10611982
Sharma, A., Leite, D., Demir, C., & Ngomo, A.-C. N. (2024). Trading-Off Interpretability and Accuracy in Medical Applications: A Study Toward Optimal Explainability of Hoeffding Trees. 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/fuzz-ieee60900.2024.10611982
@inproceedings{Sharma_Leite_Demir_Ngomo_2024, title={Trading-Off Interpretability and Accuracy in Medical Applications: A Study Toward Optimal Explainability of Hoeffding Trees}, DOI={10.1109/fuzz-ieee60900.2024.10611982}, booktitle={2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)}, publisher={IEEE}, author={Sharma, Arnab and Leite, Daniel and Demir, Caglar and Ngomo, Axel-Cyrille Ngonga}, year={2024} }
Sharma, Arnab, Daniel Leite, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “Trading-Off Interpretability and Accuracy in Medical Applications: A Study Toward Optimal Explainability of Hoeffding Trees.” In 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2024. https://doi.org/10.1109/fuzz-ieee60900.2024.10611982.
A. Sharma, D. Leite, C. Demir, and A.-C. N. Ngomo, “Trading-Off Interpretability and Accuracy in Medical Applications: A Study Toward Optimal Explainability of Hoeffding Trees,” 2024, doi: 10.1109/fuzz-ieee60900.2024.10611982.
Sharma, Arnab, et al. “Trading-Off Interpretability and Accuracy in Medical Applications: A Study Toward Optimal Explainability of Hoeffding Trees.” 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, 2024, doi:10.1109/fuzz-ieee60900.2024.10611982.
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