Daniel Leite

daniel.leite@uni-paderborn.de
ID
103844

3 Publications

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

Mark all

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