3 Publications
2024 | Conference Paper | LibreCat-ID: 58054
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.
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2024 | Conference Paper | LibreCat-ID: 58053
Leite, Daniel, Arnab Sharma, Caglar Demir, and Axel-Cyrille Ngomo. “Interpretability Index Based on Balanced Volumes for Transparent Models and Agnostic Explainers.” In 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2024. https://doi.org/10.1109/fuzz-ieee60900.2024.10611937.
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2024 | Conference Paper | LibreCat-ID: 58052
Leite, Daniel, Alisson Silva, Gabriella Casalino, Arnab Sharma, Danielle Fortunato, and Axel-Cyrille Ngomo. “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. https://doi.org/10.1109/eais58494.2024.10570033.
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3 Publications
2024 | Conference Paper | LibreCat-ID: 58054
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.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 58053
Leite, Daniel, Arnab Sharma, Caglar Demir, and Axel-Cyrille Ngomo. “Interpretability Index Based on Balanced Volumes for Transparent Models and Agnostic Explainers.” In 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2024. https://doi.org/10.1109/fuzz-ieee60900.2024.10611937.
LibreCat
| DOI
2024 | Conference Paper | LibreCat-ID: 58052
Leite, Daniel, Alisson Silva, Gabriella Casalino, Arnab Sharma, Danielle Fortunato, and Axel-Cyrille Ngomo. “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. https://doi.org/10.1109/eais58494.2024.10570033.
LibreCat
| DOI