João A. M. Santos
Orcid: 0000-0003-2465-5143Affiliations:
- University of Porto, Portuguese Institute of Oncology of Porto / Instituto de Ciências Biomédicas Abel Salazar, Medical Physics Department, Portugal
According to our database1,
João A. M. Santos
authored at least 28 papers
between 2012 and 2024.
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Bibliography
2024
Towards Sustainable Inventory Management: A Many-Objective Approach to Stock Optimization in Multi-Storage Supply Chains.
Algorithms, June, 2024
2023
Evaluating the faithfulness of saliency maps in explaining deep learning models using realistic perturbations.
Inf. Process. Manag., 2023
A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research.
Inf. Fusion, 2023
2022
The impact of heterogeneous distance functions on missing data imputation and classification performance.
Eng. Appl. Artif. Intell., 2022
Many-objective optimization of a three-echelon supply chain: A case study in the pharmaceutical industry.
Comput. Ind. Eng., 2022
Artif. Intell. Rev., 2022
2020
Pattern Recognit. Lett., 2020
Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET.
Artif. Intell. Rev., 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Classification of oesophagic early-stage cancers: deep learning versus traditional learning approaches.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical Datasets.
Proceedings of the Artificial Intelligence in Medicine, 2020
2019
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019
Going Back to Basics on Volumetric Segmentation of the Lungs in CT: A Fully Image Processing Based Technique.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019
2018
Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches [Research Frontier].
IEEE Comput. Intell. Mag., 2018
Proceedings of the Combinatorial Image Analysis - 19th International Workshop, 2018
Evaluation of Oversampling Data Balancing Techniques in the Context of Ordinal Classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018
Bi-Rads Classification of Breast Cancer: A New Pre-Processing Pipeline for Deep Models Training.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
2017
An artificial neural networks approach for assessment treatment response in oncological patients using PET/CT images.
BMC Medical Imaging, 2017
Artif. Intell. Rev., 2017
Proceedings of the Artificial Intelligence in Medicine, 2017
2012
Proceedings of the Testing Software and Systems, 2012