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Ricardo Cruz
Ricardo Cruz
Other namesRicardo P. M. Cruz
Faculty of Engineering, University of Porto
Verified email at fe.up.pt - Homepage
Title
Cited by
Cited by
Year
Insulator visual non-conformity detection in overhead power distribution lines using deep learning
RM Prates, R Cruz, AP Marotta, RP Ramos, EF Simas Filho, JS Cardoso
Computers & Electrical Engineering 78, 343-355, 2019
602019
Tackling class imbalance with ranking
R Cruz, K Fernandes, JS Cardoso, JFP Costa
2016 International joint conference on neural networks (IJCNN), 2182-2187, 2016
532016
Ordinal losses for classification of cervical cancer risk
T Albuquerque, R Cruz, JS Cardoso
PeerJ Computer Science, 2021
332021
Deep image segmentation by quality inference
K Fernandes, R Cruz, JS Cardoso
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
212018
Combining Ranking with Traditional Methods for Ordinal Class Imbalance
R Cruz, K Fernandes, JFP Costa, MP Ortiz, JS Cardoso
International Work-Conference on Artificial Neural Networks, 538-548, 2017
132017
Ordinal Class Imbalance with Ranking
R Cruz, K Fernandes, JFP Costa, MP Ortiz, JS Cardoso
Iberian Conference on Pattern Recognition and Image Analysis, 3-12, 2017
112017
Binary ranking for ordinal class imbalance
R Cruz, K Fernandes, JFP Costa, MP Ortiz, JS Cardoso
Pattern Analysis and Applications 21, 931-939, 2018
72018
Constraining Type II Error: Building Intentionally Biased Classifiers
R Cruz, K Fernandes, JFP Costa, JS Cardoso
International Work-Conference on Artificial Neural Networks, 549-560, 2017
72017
Weather and Meteorological Optical Range Classification for Autonomous Driving
C Pereira, RPM Cruz, JND Fernandes, JR Pinto, JS Cardoso
IEEE Transactions on Intelligent Vehicles, 2024
42024
Quasi-Unimodal Distributions for Ordinal Classification
T Albuquerque, R Cruz, JS Cardoso
Mathematics 10 (6), 980, 2022
42022
Automatic Augmentation by Hill Climbing
R Cruz, JFP Costa, JS Cardoso
International Conference on Artificial Neural Networks, 115-124, 2019
42019
A Class Imbalance Ordinal Method for Alzheimer’s Disease Classification
R Cruz, M Silveira, JS Cardoso
2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 1-4, 2018
42018
Fine-to-coarse ranking in ordinal and imbalanced domains: an application to liver transplantation
M Pérez-Ortiz, K Fernandes, R Cruz, JS Cardoso, J Briceño, ...
Advances in Computational Intelligence: 14th International Work-Conference …, 2017
42017
Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models
J Barbero-Gómez, R Cruz, JS Cardoso, PA Gutiérrez, C Hervás-Martínez
International Work-Conference on Artificial Neural Networks, 529-540, 2023
32023
Unimodal Distributions for Ordinal Regression
JS Cardoso, R Cruz, T Albuquerque
arXiv preprint arXiv:2303.04547, 2023
32023
Rethinking low-cost microscopy workflow: Image enhancement using deep based Extended Depth of Field methods
T Albuquerque, L Rosado, R Cruz, MJM Vasconcelos, T Oliveira, ...
Intelligent Systems with Applications 17, 200170, 2023
32023
Background Invariance by Adversarial Learning
R Cruz, RM Prates, EF Simas Filho, JFP Costa, JS Cardoso
2020 25th International Conference on Pattern Recognition (ICPR), 5883-5888, 2021
32021
Interpretability-Guided Human Feedback During Neural Network Training
P Serrano e Silva, R Cruz, ASM Shihavuddin, T Gonçalves
Iberian Conference on Pattern Recognition and Image Analysis, 276-287, 2023
22023
Deep learning-based system for real-time behavior recognition and closed-loop control of behavioral mazes using depth sensing
A Gerós, R Cruz, F de Chaumont, JS Cardoso, P Aguiar
bioRxiv, 2022.02. 22.481410, 2022
22022
Two-stage semantic segmentation in neural networks
DT e Silva, R Cruz, T Gonçalves, D Carneiro
Fifteenth International Conference on Machine Vision (ICMV 2022) 12701, 122-131, 2023
12023
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