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ORCIDJoaquim F. Pinto da Costa
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2020 – today
- 2021
[j8]Joaquim F. Pinto da Costa
, André Garcia:
New confinement index and new perspective for comparing countries - COVID-19. Comput. Methods Programs Biomed. 210: 106346 (2021)- [j7]Joaquim F. Pinto da Costa, Fábio Ferreira, Martina Mascarello, A. Rita Gaio:
Clustering of Longitudinal Trajectories Using Correlation-Based Distances. SN Comput. Sci. 2(6): 432 (2021) - 2020
- [c12]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
2010 – 2019
- 2019
- [c11]Ricardo P. M. Cruz, Joaquim F. Pinto da Costa, Jaime S. Cardoso:
Averse Deep Semantic Segmentation. EMBC 2019: 44-47 - [c10]Ricardo P. M. Cruz, Joaquim F. Pinto da Costa, Jaime S. Cardoso:
Automatic Augmentation by Hill Climbing. ICANN (2) 2019: 115-124 - 2018
- [j6]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) - 2017
- [c9]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 - [c8]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 - [c7]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
- [c6]Ricardo P. M. Cruz, Kelwin Fernandes, Jaime S. Cardoso, Joaquim F. Pinto da Costa:
Tackling class imbalance with ranking. IJCNN 2016: 2182-2187 - [c5]Alexandra Oliveira, A. Rita Gaio, Joaquim F. Pinto da Costa, Luís Paulo Reis:
An Approach for Assessing the Distribution of Reporting Delay in Portuguese AIDS Data. WorldCIST (2) 2016: 641-649 - 2014
- [j5]Joaquim F. Pinto da Costa, Hugo Alonso, Jaime S. Cardoso:
Corrigendum to "The unimodal model for the classification of ordinal data" [Neural Networks 21 (2008) 78-79]. Neural Networks 59: 73-75 (2014) - 2013
- [p1]Ricardo Gamelas Sousa, Iryna Yevseyeva, Joaquim F. Pinto da Costa, Jaime S. Cardoso:
Multicriteria Models for Learning Ordinal Data: A Literature Review. Artificial Intelligence, Evolutionary Computing and Metaheuristics 2013: 109-138 - 2012
- [c4]Carlos E. Thomaz, Gilson A. Giraldi, Joaquim F. Pinto da Costa, Duncan Fyfe Gillies:
A Priori-Driven PCA. ACCV Workshops (2) 2012: 236-247 - 2011
- [j4]Joaquim F. Pinto da Costa, Hugo Alonso, Luis Roque:
A Weighted Principal Component Analysis and Its Application to Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. 8(1): 246-252 (2011) - [r1]Joaquim F. Pinto da Costa:
Weighted Correlation. International Encyclopedia of Statistical Science 2011: 1653-1655 - 2010
- [c3]Joaquim F. Pinto da Costa, Ricardo Gamelas Sousa, Jaime S. Cardoso:
An All-at-once Unimodal SVM Approach for Ordinal Classification. ICMLA 2010: 59-64
2000 – 2009
- 2008
- [j3]Joaquim F. Pinto da Costa, Hugo Alonso, Jaime S. Cardoso:
The unimodal model for the classification of ordinal data. Neural Networks 21(1): 78-91 (2008) - [c2]Ricardo Gamelas Sousa, Jaime S. Cardoso, Joaquim F. Pinto da Costa, Maria João Cardoso:
Breast contour detection with shape priors. ICIP 2008: 1440-1443 - 2007
- [j2]Jaime S. Cardoso, Joaquim F. Pinto da Costa:
Learning to Classify Ordinal Data: The Data Replication Method. J. Mach. Learn. Res. 8: 1393-1429 (2007) - 2005
- [j1]Jaime S. Cardoso, Joaquim F. Pinto da Costa, Maria João Cardoso:
Modelling ordinal relations with SVMs: An application to objective aesthetic evaluation of breast cancer conservative treatment. Neural Networks 18(5-6): 808-817 (2005) - [c1]Joaquim F. Pinto da Costa, Jaime S. Cardoso:
Classification of Ordinal Data Using Neural Networks. ECML 2005: 690-697
Coauthor Index
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