João A. M. Santos

28 papers B 8C 3Misc 2Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Towards Sustainable Inventory Management: A Many-Objective Approach to Stock Optimization in Multi-Storage Supply Chains. Algorithms João A. M. Santos, Miguel S. E. Martins, Rui M. Pinto, Susana M. Vieira
2023	J	`jnl`	A unifying view of class overlap and imbalance: Key concepts, multi-view panorama, and open avenues for research. Inf. Fusion Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz, Alberto Fernández, João A. M. Santos
2023	J	`jnl`	Evaluating Post-hoc Interpretability with Intrinsic Interpretability. CoRR José Pereira Amorim, Pedro Henriques Abreu, João A. M. Santos, Henning Müller
2023	J	`jnl`	Evaluating the faithfulness of saliency maps in explaining deep learning models using realistic perturbations. Inf. Process. Manag. José Pereira Amorim, Pedro H. Abreu, João A. M. Santos, Marc Cortes, Victor Vila
2022	J	`jnl`	Many-objective optimization of a three-echelon supply chain: A case study in the pharmaceutical industry. Comput. Ind. Eng. João A. M. Santos, João M. C. Sousa, Susana M. Vieira, André F. Ferreira
2022	J	`jnl`	On the joint-effect of class imbalance and overlap: a critical review. Artif. Intell. Rev. Miriam Seoane Santos, Pedro Henriques Abreu, Nathalie Japkowicz, Alberto Fernández, Carlos Soares, Szymon Wilk, João A. M. Santos
2022	J	`jnl`	The impact of heterogeneous distance functions on missing data imputation and classification performance. Eng. Appl. Artif. Intell. Miriam Seoane Santos, Pedro Henriques Abreu, Alberto Fernández, Julián Luengo, João A. M. Santos
2020	B	`conf`	Assessing the Impact of Distance Functions on K-Nearest Neighbours Imputation of Biomedical Datasets. AIME Miriam Seoane Santos, Pedro H. Abreu, Szymon Wilk, João A. M. Santos
2020	C	`conf`	Classification of oesophagic early-stage cancers: deep learning versus traditional learning approaches. BIBE Jorge Ferreira, Inês Domingues, Olga Sousa, Inês Sampaio, João A. M. Santos
2020	J	`jnl`	How distance metrics influence missing data imputation with k-nearest neighbours. Pattern Recognit. Lett. Miriam Seoane Santos, Pedro Henriques Abreu, Szymon Wilk, João A. M. Santos
2020	B	`conf`	Interpretability vs. Complexity: The Friction in Deep Neural Networks. IJCNN José Pereira Amorim, Pedro H. Abreu, Mauricio Reyes, João A. M. Santos
2020	J	`jnl`	Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET. Artif. Intell. Rev. Inês Domingues, Gisèle Pereira, Pedro Martins, Hugo Duarte, João A. M. Santos, Pedro Henriques Abreu
2019	Misc	`conf`	An iterative oversampling approach for ordinal classification. SAC Francisco Marques, Hugo Duarte, João A. M. Santos, Inês Domingues, José Pereira Amorim, Pedro H. Abreu
2019	Misc	`conf`	Automatic Generation of Lymphoma Post-Treatment PETs using Conditional-GANs. DICTA Gabriel Silva, Inês Domingues, Hugo Duarte, João A. M. Santos
2019	J	`jnl`	Computer Vision in Esophageal Cancer: A Literature Review. IEEE Access Inês Domingues, Inês Sampaio, Hugo Duarte, João A. M. Santos, Pedro H. Abreu
2019	J	`jnl`	Generating Synthetic Missing Data: A Review by Missing Mechanism. IEEE Access Miriam Seoane Santos, Ricardo Cardoso Pereira, Adriana Fonseca Costa, Jastin Pompeu Soares, João A. M. Santos, Pedro Henriques Abreu
2019	—	`conf`	Going Back to Basics on Volumetric Segmentation of the Lungs in CT: A Fully Image Processing Based Technique. IbPRIA (2) Ana Catarina Oliveira, Inês Domingues, Hugo Duarte, João A. M. Santos, Pedro H. Abreu
2018	B	`conf`	Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts. IDA Marta Mercier, Miriam Seoane Santos, Pedro H. Abreu, Carlos Soares, Jastin Pompeu Soares, João A. M. Santos
2018	B	`conf`	Bi-Rads Classification of Breast Cancer: A New Pre-Processing Pipeline for Deep Models Training. ICIP Inês Domingues, Pedro H. Abreu, João A. M. Santos
2018	J	`jnl`	Cross-Validation for Imbalanced Datasets: Avoiding Overoptimistic and Overfitting Approaches [Research Frontier]. IEEE Comput. Intell. Mag. Miriam Seoane Santos, Jastin Pompeu Soares, Pedro Henriques Abreu, Hélder Araújo, João A. M. Santos
2018	B	`conf`	Evaluation of Oversampling Data Balancing Techniques in the Context of Ordinal Classification. IJCNN Inês Domingues, José Pereira Amorim, Pedro H. Abreu, Hugo Duarte, João A. M. Santos
2018	B	`conf`	Exploring the Effects of Data Distribution in Missing Data Imputation. IDA Jastin Pompeu Soares, Miriam Seoane Santos, Pedro Henriques Abreu, Hélder Araújo, João A. M. Santos
2018	B	`conf`	Interpreting deep learning models for ordinal problems. ESANN José Pereira Amorim, Inês Domingues, Pedro Henriques Abreu, João A. M. Santos
2018	C	`conf`	Registration of CT with PET: A Comparison of Intensity-Based Approaches. IWCIA Gisèle Pereira, Inês Domingues, Pedro Martins, Pedro H. Abreu, Hugo Duarte, João A. M. Santos
2017	J	`jnl`	An artificial neural networks approach for assessment treatment response in oncological patients using PET/CT images. BMC Medical Imaging Mariana A. Nogueira, Pedro Henriques Abreu, Pedro Martins, Penousal Machado, Hugo Duarte, João A. M. Santos
2017	J	`jnl`	Image descriptors in radiology images: a systematic review. Artif. Intell. Rev. Mariana A. Nogueira, Pedro Henriques Abreu, Pedro Martins, Penousal Machado, Hugo Duarte, João A. M. Santos
2017	B	`conf`	Influence of Data Distribution in Missing Data Imputation. AIME Miriam Seoane Santos, Jastin Pompeu Soares, Pedro Henriques Abreu, Hélder Araújo, João A. M. Santos
2012	C	`conf`	Lightweight Automatic Error Detection by Monitoring Collar Variables. ICTSS João A. M. Santos, Rui Abreu