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[3]
2024 | Conference Paper | LibreCat-ID: 58054
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
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[2]
2024 | Conference Paper | LibreCat-ID: 58053
Leite D, Sharma A, Demir C, Ngomo A-C. Interpretability Index Based on Balanced Volumes for Transparent Models and Agnostic Explainers. In: 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE; 2024. doi:10.1109/fuzz-ieee60900.2024.10611937
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[1]
2024 | Conference Paper | LibreCat-ID: 58052
Leite D, Silva A, Casalino G, Sharma A, Fortunato D, Ngomo A-C. EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams. In: 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS). IEEE; 2024. doi:10.1109/eais58494.2024.10570033
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3 Publications

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[3]
2024 | Conference Paper | LibreCat-ID: 58054
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
LibreCat | DOI
 
[2]
2024 | Conference Paper | LibreCat-ID: 58053
Leite D, Sharma A, Demir C, Ngomo A-C. Interpretability Index Based on Balanced Volumes for Transparent Models and Agnostic Explainers. In: 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE; 2024. doi:10.1109/fuzz-ieee60900.2024.10611937
LibreCat | DOI
 
[1]
2024 | Conference Paper | LibreCat-ID: 58052
Leite D, Silva A, Casalino G, Sharma A, Fortunato D, Ngomo A-C. EGNN-C+: Interpretable Evolving Granular Neural Network and Application in Classification of Weakly-Supervised EEG Data Streams. In: 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS). IEEE; 2024. doi:10.1109/eais58494.2024.10570033
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