Ricardo P. M. Cruz

30 papers B 3C 4Misc 2Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
A case study on phishing detection with a machine learning net.
Int. J. Data Sci. Anal.
Ana Bezerra, Ivo Pereira, Miguel Ângelo Rebelo, Duarte Coelho, Daniel Alves de Oliveira, Joaquim F. Pinto da Costa, Ricardo P. M. Cruz
2025 J jnl
CNN explanation methods for ordinal regression tasks.
Neurocomputing
Javier Barbero-Gómez, Ricardo P. M. Cruz, Jaime S. Cardoso, Pedro Antonio Gutiérrez, César Hervás-Martínez
2025 J jnl
Learning Ordinality in Semantic Segmentation.
IEEE Access
Ricardo P. M. Cruz, Rafael Cristino, Jaime S. Cardoso
2025 J jnl
Unimodal Distributions for Ordinal Regression.
IEEE Trans. Artif. Intell.
Jaime S. Cardoso, Ricardo P. M. Cruz, Tomé Albuquerque
2024 J jnl
Learning Ordinality in Semantic Segmentation.
CoRR
Rafael Cristino, Ricardo P. M. Cruz, Jaime S. Cardoso
2024 J jnl
Weather and Meteorological Optical Range Classification for Autonomous Driving.
IEEE Trans. Intell. Veh.
Celso Pereira, Ricardo P. M. Cruz, João N. D. Fernandes, João Ribeiro Pinto, Jaime S. Cardoso
2023 C conf
Active Supervision: Human in the Loop.
CIARP
Ricardo P. M. Cruz, A. S. M. Shihavuddin, Md Hasan Maruf, Jaime S. Cardoso
2023 C conf
Condition Invariance for Autonomous Driving by Adversarial Learning.
CIARP
Diana Teixeira e Silva, Ricardo P. M. Cruz
2023 — conf
Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models.
IWANN (2)
Javier Barbero-Gómez, Ricardo P. M. Cruz, Jaime S. Cardoso, Pedro Antonio Gutiérrez, César Hervás-Martínez
2023 Misc conf
Interpretability-Guided Human Feedback During Neural Network Training.
IbPRIA
Pedro Serrano e Silva, Ricardo P. M. Cruz, A. S. M. Shihavuddin, Tiago Gonçalves
2023 J jnl
Rethinking low-cost microscopy workflow: Image enhancement using deep based Extended Depth of Field methods.
Intell. Syst. Appl.
Tomé Albuquerque, Luís Rosado, Ricardo P. M. Cruz, Maria João M. Vasconcelos, Tiago Oliveira, Jaime S. Cardoso
2023 J jnl
Two-Stage Framework for Faster Semantic Segmentation.
Sensors
Ricardo P. M. Cruz, Diana Teixeira e Silva, Tiago Gonçalves, Diogo Carneiro, Jaime S. Cardoso
2023 J jnl
Unimodal Distributions for Ordinal Regression.
CoRR
Jaime S. Cardoso, Ricardo P. M. Cruz, Tomé Albuquerque
2023 C conf
YOLOMM - You Only Look Once for Multi-modal Multi-tasking.
CIARP
Filipe Campos, Francisco Gonçalves Cerqueira, Ricardo P. M. Cruz, Jaime S. Cardoso
2022 C conf
Two-stage semantic segmentation in neural networks.
ICMV
Diana Teixeira e Silva, Ricardo P. M. Cruz, Tiago Gonçalves, Diogo Carneiro
2021 J jnl
Ordinal losses for classification of cervical cancer risk.
PeerJ Comput. Sci.
Tomé Albuquerque, Ricardo P. M. Cruz, Jaime S. Cardoso
2020 B conf
Background Invariance by Adversarial Learning.
ICPR
Ricardo P. M. Cruz, Ricardo M. Prates, Eduardo F. Simas Filho, Joaquim F. Pinto da Costa, Jaime S. Cardoso
2020 — conf
Correction to: Interpretable and Annotation-Efficient Learning for Medical Image Computing.
iMIMIC/MIL3ID/LABELS@MICCAI
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
2020 — ed.
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
iMIMIC/MIL3ID/LABELS@MICCAI
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
2019 — conf
Automatic Augmentation by Hill Climbing.
ICANN (2)
Ricardo P. M. Cruz, Joaquim F. Pinto da Costa, Jaime S. Cardoso
2019 — conf
Averse Deep Semantic Segmentation.
EMBC
Ricardo P. M. Cruz, Joaquim F. Pinto da Costa, Jaime S. Cardoso
2019 J jnl
Insulator visual non-conformity detection in overhead power distribution lines using deep learning.
Comput. Electr. Eng.
Ricardo Santos Morla, Ricardo P. M. Cruz, André P. Marotta, Rodrigo Pereira Ramos, Eduardo F. Simas Filho, Jaime S. Cardoso
2018 — conf
A Class Imbalance Ordinal Method for Alzheimer's Disease Classification.
PRNI
Ricardo P. M. Cruz, Margarida Silveira, Jaime S. Cardoso
2018 J jnl
Binary ranking for ordinal class imbalance.
Pattern Anal. Appl.
Ricardo P. M. Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, María Pérez-Ortiz, Jaime S. Cardoso
2018 B conf
Deep Image Segmentation by Quality Inference.
IJCNN
Kelwin Fernandes, Ricardo P. M. Cruz, Jaime S. Cardoso
2017 — conf
Combining Ranking with Traditional Methods for Ordinal Class Imbalance.
IWANN (2)
Ricardo P. M. Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, María Pérez-Ortiz, Jaime S. Cardoso
2017 — conf
Constraining Type II Error: Building Intentionally Biased Classifiers.
IWANN (2)
Ricardo P. M. Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, Jaime S. Cardoso
2017 — conf
Fine-to-Coarse Ranking in Ordinal and Imbalanced Domains: An Application to Liver Transplantation.
IWANN (2)
María Pérez-Ortiz, Kelwin Fernandes, Ricardo P. M. Cruz, Jaime S. Cardoso, Javier Briceño, César Hervás-Martínez
2017 Misc conf
Ordinal Class Imbalance with Ranking.
IbPRIA
Ricardo P. M. Cruz, Kelwin Fernandes, Joaquim F. Pinto da Costa, María Pérez-Ortiz, Jaime S. Cardoso
2016 B conf
Tackling class imbalance with ranking.
IJCNN
Ricardo P. M. Cruz, Kelwin Fernandes, Jaime S. Cardoso, Joaquim F. Pinto da Costa