Ricardo P. M. Cruz

According to our database, Ricardo P. M. Cruz authored at least 22 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Two-Stage Framework for Faster Semantic Segmentation.

Ricardo P. M. Cruz, Diana Teixeira e Silva, Tiago Gonçalves, Diogo Carneiro, Jaime S. Cardoso

Sensors, March, 2023

Rethinking low-cost microscopy workflow: Image enhancement using deep based Extended Depth of Field methods.

Tomé Albuquerque, Luís Rosado, Ricardo P. M. Cruz, Maria João M. Vasconcelos, Tiago Oliveira, Jaime S. Cardoso

Intell. Syst. Appl., 2023

Unimodal Distributions for Ordinal Regression.

Jaime S. Cardoso, Ricardo P. M. Cruz, Tomé Albuquerque

CoRR, 2023

Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models.

Javier Barbero-Gómez, Ricardo P. M. Cruz, Jaime S. Cardoso, Pedro Antonio Gutiérrez, César Hervás-Martínez

Proceedings of the Advances in Computational Intelligence, 2023

Interpretability-Guided Human Feedback During Neural Network Training.

Pedro Serrano e Silva, Ricardo P. M. Cruz, A. S. M. Shihavuddin, Tiago Gonçalves

Proceedings of the Pattern Recognition and Image Analysis - 11th Iberian Conference, 2023

Condition Invariance for Autonomous Driving by Adversarial Learning.

Diana Teixeira e Silva, Ricardo P. M. Cruz

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

Active Supervision: Human in the Loop.

Ricardo P. M. Cruz, A. S. M. Shihavuddin, Md Hasan Maruf, Jaime S. Cardoso

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

YOLOMM - You Only Look Once for Multi-modal Multi-tasking.

Filipe Campos, Francisco Gonçalves Cerqueira, Ricardo P. M. Cruz, Jaime S. Cardoso

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

2021

Ordinal losses for classification of cervical cancer risk.

Tomé Albuquerque, Ricardo P. M. Cruz, Jaime S. Cardoso

PeerJ Comput. Sci., 2021

2020

Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing.

Jaime S. Cardoso, Hien Van Nguyen, Nicholas Heller, Pedro Henriques Abreu, Ivana Isgum, Wilson Silva, Ricardo P. M. Cruz, José Pereira Amorim, Vishal Patel, Badri Roysam, S. Kevin Zhou, Steve B. Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Samaneh Abbasi-Sureshjani

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

Background Invariance by Adversarial Learning.

Ricardo P. M. Cruz, Ricardo M. Prates, Eduardo F. Simas Filho, Joaquim F. Pinto da Costa, Jaime S. Cardoso

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Insulator visual non-conformity detection in overhead power distribution lines using deep learning.

Ricardo Santos Morla, Ricardo P. M. Cruz, André P. Marotta, Rodrigo Pereira Ramos, Eduardo F. Simas Filho, Jaime S. Cardoso

Comput. Electr. Eng., 2019

Automatic Augmentation by Hill Climbing.

Ricardo P. M. Cruz, Joaquim F. Pinto da Costa, Jaime S. Cardoso

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Averse Deep Semantic Segmentation.

Ricardo P. M. Cruz, Joaquim F. Pinto da Costa, Jaime S. Cardoso

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Binary ranking for ordinal class imbalance.

Ricardo P. M. Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, María Pérez-Ortiz, Jaime S. Cardoso

Pattern Anal. Appl., 2018

A Class Imbalance Ordinal Method for Alzheimer's Disease Classification.

Ricardo P. M. Cruz, Margarida Silveira, Jaime S. Cardoso

Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018

Deep Image Segmentation by Quality Inference.

Kelwin Fernandes, Ricardo P. M. Cruz, Jaime S. Cardoso

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation.

María Pérez-Ortiz, Kelwin Fernandes, Ricardo P. M. Cruz, Jaime S. Cardoso, Javier Briceño, César Hervás-Martínez

Proceedings of the Advances in Computational Intelligence, 2017

Combining Ranking with Traditional Methods for Ordinal Class Imbalance.

Ricardo P. M. Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, María Pérez-Ortiz, Jaime S. Cardoso

Proceedings of the Advances in Computational Intelligence, 2017

Constraining Type II Error: Building Intentionally Biased Classifiers.

Ricardo P. M. Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, Jaime S. Cardoso

Proceedings of the Advances in Computational Intelligence, 2017

Ordinal Class Imbalance with Ranking.

Ricardo P. M. Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, María Pérez-Ortiz, Jaime S. Cardoso

Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017

2016

Tackling class imbalance with ranking.

Ricardo P. M. Cruz, Kelwin Fernandes, Jaime S. Cardoso, Joaquim F. Pinto da Costa

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016