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Ricardo P. M. Cruz
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2020 – today
- 2024
- [i2]Rafael Cristino, Ricardo P. M. Cruz, Jaime S. Cardoso:
Learning Ordinality in Semantic Segmentation. CoRR abs/2407.20959 (2024) - 2023
- [j5]Tomé Albuquerque, Luís Rosado, Ricardo P. M. Cruz, Maria João M. Vasconcelos, Tiago Oliveira, Jaime S. Cardoso:
Rethinking low-cost microscopy workflow: Image enhancement using deep based Extended Depth of Field methods. Intell. Syst. Appl. 17: 200170 (2023) - [j4]Ricardo P. M. Cruz, Diana Teixeira e Silva, Tiago Gonçalves, Diogo Carneiro, Jaime S. Cardoso:
Two-Stage Framework for Faster Semantic Segmentation. Sensors 23(6): 3092 (2023) - [c16]Ricardo P. M. Cruz, A. S. M. Shihavuddin, Md Hasan Maruf, Jaime S. Cardoso:
Active Supervision: Human in the Loop. CIARP 2023: 540-551 - [c15]Diana Teixeira e Silva, Ricardo P. M. Cruz:
Condition Invariance for Autonomous Driving by Adversarial Learning. CIARP 2023: 552-563 - [c14]Filipe Campos, Francisco Gonçalves Cerqueira, Ricardo P. M. Cruz, Jaime S. Cardoso:
YOLOMM - You Only Look Once for Multi-modal Multi-tasking. CIARP 2023: 564-574 - [c13]Pedro Serrano e Silva, Ricardo P. M. Cruz, A. S. M. Shihavuddin, Tiago Gonçalves:
Interpretability-Guided Human Feedback During Neural Network Training. IbPRIA 2023: 276-287 - [c12]Javier Barbero-Gómez, Ricardo P. M. Cruz, Jaime S. Cardoso, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models. IWANN (2) 2023: 529-540 - [i1]Jaime S. Cardoso, Ricardo P. M. Cruz, Tomé Albuquerque:
Unimodal Distributions for Ordinal Regression. CoRR abs/2303.04547 (2023) - 2021
- [j3]Tomé Albuquerque, Ricardo P. M. Cruz, Jaime S. Cardoso:
Ordinal losses for classification of cervical cancer risk. PeerJ Comput. Sci. 7: e457 (2021) - 2020
- [c11]Ricardo P. M. Cruz, Ricardo M. Prates, Eduardo F. Simas Filho, Joaquim F. Pinto da Costa, Jaime S. Cardoso:
Background Invariance by Adversarial Learning. ICPR 2020: 5883-5888 - [c10]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:
Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 1 - [e1]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:
Interpretable and Annotation-Efficient Learning for Medical Image Computing - Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Lecture Notes in Computer Science 12446, Springer 2020, ISBN 978-3-030-61165-1 [contents]
2010 – 2019
- 2019
- [j2]Ricardo Santos Morla, Ricardo P. M. Cruz, André P. Marotta, Rodrigo Pereira Ramos, Eduardo F. Simas Filho, Jaime S. Cardoso:
Insulator visual non-conformity detection in overhead power distribution lines using deep learning. Comput. Electr. Eng. 78: 343-355 (2019) - [c9]Ricardo P. M. Cruz, Joaquim F. Pinto da Costa, Jaime S. Cardoso:
Averse Deep Semantic Segmentation. EMBC 2019: 44-47 - [c8]Ricardo P. M. Cruz, Joaquim F. Pinto da Costa, Jaime S. Cardoso:
Automatic Augmentation by Hill Climbing. ICANN (2) 2019: 115-124 - 2018
- [j1]Ricardo P. M. Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, María Pérez-Ortiz, Jaime S. Cardoso:
Binary ranking for ordinal class imbalance. Pattern Anal. Appl. 21(4): 931-939 (2018) - [c7]Kelwin Fernandes, Ricardo P. M. Cruz, Jaime S. Cardoso:
Deep Image Segmentation by Quality Inference. IJCNN 2018: 1-8 - [c6]Ricardo P. M. Cruz, Margarida Silveira, Jaime S. Cardoso:
A Class Imbalance Ordinal Method for Alzheimer's Disease Classification. PRNI 2018: 1-4 - 2017
- [c5]Ricardo P. M. Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, María Pérez-Ortiz, Jaime S. Cardoso:
Ordinal Class Imbalance with Ranking. IbPRIA 2017: 3-12 - [c4]María Pérez-Ortiz, Kelwin Fernandes, Ricardo P. M. Cruz, Jaime S. Cardoso, Javier Briceño, César Hervás-Martínez:
Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation. IWANN (2) 2017: 525-537 - [c3]Ricardo P. M. Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, María Pérez-Ortiz, Jaime S. Cardoso:
Combining Ranking with Traditional Methods for Ordinal Class Imbalance. IWANN (2) 2017: 538-548 - [c2]Ricardo P. M. Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, Jaime S. Cardoso:
Constraining Type II Error: Building Intentionally Biased Classifiers. IWANN (2) 2017: 549-560 - 2016
- [c1]Ricardo P. M. Cruz, Kelwin Fernandes, Jaime S. Cardoso, Joaquim F. Pinto da Costa:
Tackling class imbalance with ranking. IJCNN 2016: 2182-2187
Coauthor Index
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