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ORCIDJoão A. M. Santos
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- affiliation: University of Porto, Portuguese Institute of Oncology of Porto / Instituto de Ciências Biomédicas Abel Salazar, Medical Physics Department, Portugal
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2020 – today
- 2023
[j12]Miriam Seoane Santos
, Pedro Henriques Abreu, Nathalie Japkowicz, Alberto Fernández, João A. M. Santos:
A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research. Inf. Fusion 89: 228-253 (2023)- [j11]José Pereira Amorim, Pedro H. Abreu, João A. M. Santos, Marc Cortes, Victor Vila:
Evaluating the faithfulness of saliency maps in explaining deep learning models using realistic perturbations. Inf. Process. Manag. 60(2): 103225 (2023) - [i1]José Pereira Amorim, Pedro Henriques Abreu, João A. M. Santos, Henning Müller:
Evaluating Post-hoc Interpretability with Intrinsic Interpretability. CoRR abs/2305.03002 (2023) - 2022
- [j10]Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz, Alberto Fernández, Carlos Soares, Szymon Wilk, João A. M. Santos:
On the joint-effect of class imbalance and overlap: a critical review. Artif. Intell. Rev. 55(8): 6207-6275 (2022) - [j9]João A. M. Santos, João M. C. Sousa, Susana M. Vieira, André F. Ferreira:
Many-objective optimization of a three-echelon supply chain: A case study in the pharmaceutical industry. Comput. Ind. Eng. 173: 108729 (2022) - [j8]Miriam Seoane Santos, Pedro Henriques Abreu, Alberto Fernández, Julián Luengo, João A. M. Santos:
The impact of heterogeneous distance functions on missing data imputation and classification performance. Eng. Appl. Artif. Intell. 111: 104791 (2022) - 2020
- [j7]Inês Domingues, Gisèle Pereira, Pedro Martins, Hugo Duarte, João A. M. Santos, Pedro Henriques Abreu:
Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET. Artif. Intell. Rev. 53(6): 4093-4160 (2020) - [j6]Miriam Seoane Santos, Pedro Henriques Abreu, Szymon Wilk, João A. M. Santos:
How distance metrics influence missing data imputation with k-nearest neighbours. Pattern Recognit. Lett. 136: 111-119 (2020) - [c14]Miriam Seoane Santos, Pedro H. Abreu, Szymon Wilk, João A. M. Santos:
Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical Datasets. AIME 2020: 486-496 - [c13]Jorge Ferreira, Inês Domingues, Olga Sousa, Inês Sampaio, João A. M. Santos:
Classification of oesophagic early-stage cancers: deep learning versus traditional learning approaches. BIBE 2020: 746-751 - [c12]José Pereira Amorim, Pedro H. Abreu, Mauricio Reyes, João A. M. Santos:
Interpretability vs. Complexity: The Friction in Deep Neural Networks. IJCNN 2020: 1-7
2010 – 2019
- 2019
- [j5]Miriam Seoane Santos, Ricardo Cardoso Pereira, Adriana Fonseca Costa, Jastin Pompeu Soares, João A. M. Santos, Pedro Henriques Abreu:
Generating Synthetic Missing Data: A Review by Missing Mechanism. IEEE Access 7: 11651-11667 (2019) - [j4]Inês Domingues, Inês Sampaio, Hugo Duarte, João A. M. Santos, Pedro H. Abreu:
Computer Vision in Esophageal Cancer: A Literature Review. IEEE Access 7: 103080-103094 (2019) - [c11]Gabriel Silva, Inês Domingues, Hugo Duarte, João A. M. Santos:
Automatic Generation of Lymphoma Post-Treatment PETs using Conditional-GANs. DICTA 2019: 1-6 - [c10]Ana Catarina Oliveira, Inês Domingues, Hugo Duarte, João A. M. Santos, Pedro H. Abreu:
Going Back to Basics on Volumetric Segmentation of the Lungs in CT: A Fully Image Processing Based Technique. IbPRIA (2) 2019: 322-334 - [c9]Francisco Marques, Hugo Duarte, João A. M. Santos, Inês Domingues, José Pereira Amorim, Pedro H. Abreu:
An iterative oversampling approach for ordinal classification. SAC 2019: 771-774 - 2018
- [j3]Miriam Seoane Santos, Jastin Pompeu Soares, Pedro Henriques Abreu, Hélder Araújo, João A. M. Santos:
Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches [Research Frontier]. IEEE Comput. Intell. Mag. 13(4): 59-76 (2018) - [c8]José Pereira Amorim, Inês Domingues, Pedro Henriques Abreu, João A. M. Santos:
Interpreting deep learning models for ordinal problems. ESANN 2018 - [c7]Inês Domingues, Pedro H. Abreu, João A. M. Santos:
Bi-Rads Classification of Breast Cancer: A New Pre-Processing Pipeline for Deep Models Training. ICIP 2018: 1378-1382 - [c6]Marta Mercier, Miriam Seoane Santos, Pedro H. Abreu, Carlos Soares, Jastin Pompeu Soares, João A. M. Santos:
Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts. IDA 2018: 200-212 - [c5]Jastin Pompeu Soares, Miriam Seoane Santos, Pedro Henriques Abreu, Hélder Araújo, João A. M. Santos:
Exploring the Effects of Data Distribution in Missing Data Imputation. IDA 2018: 251-263 - [c4]Inês Domingues, José Pereira Amorim, Pedro H. Abreu, Hugo Duarte, João A. M. Santos:
Evaluation of Oversampling Data Balancing Techniques in the Context of Ordinal Classification. IJCNN 2018: 1-8 - [c3]Gisèle Pereira, Inês Domingues, Pedro Martins, Pedro H. Abreu, Hugo Duarte, João A. M. Santos:
Registration of CT with PET: A Comparison of Intensity-Based Approaches. IWCIA 2018: 134-149 - 2017
- [j2]Mariana A. Nogueira, Pedro Henriques Abreu, Pedro Martins, Penousal Machado, Hugo Duarte, João A. M. Santos:
Image descriptors in radiology images: a systematic review. Artif. Intell. Rev. 47(4): 531-559 (2017) - [j1]Mariana A. Nogueira, Pedro Henriques Abreu, Pedro Martins, Penousal Machado, Hugo Duarte, João A. M. Santos:
An artificial neural networks approach for assessment treatment response in oncological patients using PET/CT images. BMC Medical Imaging 17(1): 13:1-13:8 (2017) - [c2]Miriam Seoane Santos, Jastin Pompeu Soares, Pedro Henriques Abreu, Hélder Araújo, João A. M. Santos:
Influence of Data Distribution in Missing Data Imputation. AIME 2017: 285-294 - 2012
- [c1]João A. M. Santos, Rui Abreu:
Lightweight Automatic Error Detection by Monitoring Collar Variables. ICTSS 2012: 215-230
Coauthor Index
aka: Pedro Henriques Abreu
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