{"status":"public","doi":"10.1109/fuzz-ieee60900.2024.10611982","publication":"2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","date_updated":"2024-12-07T16:59:26Z","user_id":"103844","_id":"57326","publisher":"IEEE","publication_status":"published","year":"2024","type":"conference","date_created":"2024-11-22T13:20:32Z","title":"Trading-Off Interpretability and Accuracy in Medical Applications: A Study Toward Optimal Explainability of Hoeffding Trees","citation":{"apa":"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","mla":"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.","ama":"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","short":"A. Sharma, D. Leite, C. Demir, A.-C.N. Ngomo, in: 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, 2024.","bibtex":"@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} }","chicago":"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.","ieee":"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."},"author":[{"first_name":"Arnab","last_name":"Sharma","full_name":"Sharma, Arnab"},{"full_name":"Leite, Daniel","last_name":"Leite","first_name":"Daniel"},{"full_name":"Demir, Caglar","first_name":"Caglar","last_name":"Demir"},{"last_name":"Ngomo","first_name":"Axel-Cyrille Ngonga","full_name":"Ngomo, Axel-Cyrille Ngonga"}]}