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José Pereira Amorim
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A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences
M Graziani, L Dutkiewicz, D Calvaresi, JP Amorim, K Yordanova, M Vered, ...
Artificial Intelligence Review, 1-32, 2022
772022
Evaluation of oversampling data balancing techniques in the context of ordinal classification
I Domingues, JP Amorim, PH Abreu, H Duarte, J Santos
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
382018
Evaluating the faithfulness of saliency maps in explaining deep learning models using realistic perturbations
JP Amorim, PH Abreu, J Santos, M Cortes, V Vila
Information Processing & Management 60 (2), 103225, 2023
202023
Interpreting deep machine learning models: an easy guide for oncologists
JP Amorim, PH Abreu, A Fernández, M Reyes, J Santos, MH Abreu
IEEE Reviews in Biomedical Engineering, 2021
142021
Interpreting deep learning models for ordinal problems.
JP Amorim, I Domingues, PH Abreu, JAM Santos
ESANN, 373-378, 2018
142018
Interpretability vs. Complexity: The Friction in Deep Neural Networks
JP Amorim, PH Abreu, M Reyes, J Santos
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
112020
An iterative oversampling approach for ordinal classification
F Marques, H Duarte, J Santos, I Domingues, JP Amorim, PH Abreu
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 771-774, 2019
102019
Missing Image Data Imputation using Variational Autoencoders with Weighted Loss.
RC Pereira, JC Santos, JP Amorim, PP Rodrigues, PH Abreu
ESANN, 475-480, 2020
72020
Evaluating Post-hoc Interpretability with Intrinsic Interpretability
JP Amorim, PH Abreu, J Santos, H Müller
arXiv preprint arXiv:2305.03002, 2023
12023
Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing
J Cardoso, H Van Nguyen, N Heller, P Henriques Abreu, I Isgum, W Silva, ...
Interpretable and Annotation-Efficient Learning for Medical Image Computing …, 2020
2020
Interpretable and Annotation-Efficient Learning for Medical Image Computing: Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th …
J Cardoso, H Van Nguyen, N Heller, PH Abreu, I Isgum, W Silva, R Cruz, ...
Springer Nature, 2020
2020
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