Joaquim F. Pinto da Costa

According to our database, Joaquim F. Pinto da Costa authored at least 22 papers between 2005 and 2021.

Collaborative distances:

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

2021

Clustering of Longitudinal Trajectories Using Correlation-Based Distances.

Joaquim F. Pinto da Costa, Fábio Ferreira, Martina Mascarello, A. Rita Gaio

SN Comput. Sci., 2021

New confinement index and new perspective for comparing countries - COVID-19.

Joaquim F. Pinto da Costa, André Garcia

Comput. Methods Programs Biomed., 2021

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

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

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

An Approach for Assessing the Distribution of Reporting Delay in Portuguese AIDS Data.

Alexandra Oliveira, A. Rita Gaio, Joaquim F. Pinto da Costa, Luís Paulo Reis

Proceedings of the New Advances in Information Systems and Technologies, 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

2014

Corrigendum to "The unimodal model for the classification of ordinal data" [Neural Networks 21 (2008) 78-79].

Joaquim F. Pinto da Costa, Hugo Alonso, Jaime S. Cardoso

Neural Networks, 2014

2013

Multicriteria Models for Learning Ordinal Data: A Literature Review.

Ricardo Gamelas Sousa, Iryna Yevseyeva, Joaquim F. Pinto da Costa, Jaime S. Cardoso

Proceedings of the Artificial Intelligence, Evolutionary Computing and Metaheuristics, 2013

2012

A Priori-Driven PCA.

Carlos E. Thomaz, Gilson A. Giraldi, Joaquim F. Pinto da Costa, Duncan Fyfe Gillies

Proceedings of the Computer Vision - ACCV 2012 Workshops, 2012

2011

Weighted Correlation.

Joaquim F. Pinto da Costa

Proceedings of the International Encyclopedia of Statistical Science, 2011

A Weighted Principal Component Analysis and Its Application to Gene Expression Data.

Joaquim F. Pinto da Costa, Hugo Alonso, Luis Roque

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

2010

An All-at-once Unimodal SVM Approach for Ordinal Classification.

Joaquim F. Pinto da Costa, Ricardo Gamelas Sousa, Jaime S. Cardoso

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2008

The unimodal model for the classification of ordinal data.

Joaquim F. Pinto da Costa, Hugo Alonso, Jaime S. Cardoso

Neural Networks, 2008

Breast contour detection with shape priors.

Ricardo Gamelas Sousa, Jaime S. Cardoso, Joaquim F. Pinto da Costa, Maria João Cardoso

Proceedings of the International Conference on Image Processing, 2008

2007

Learning to Classify Ordinal Data: The Data Replication Method.

Jaime S. Cardoso, Joaquim F. Pinto da Costa

J. Mach. Learn. Res., 2007

2005

Modelling ordinal relations with SVMs: An application to objective aesthetic evaluation of breast cancer conservative treatment.

Jaime S. Cardoso, Joaquim F. Pinto da Costa, Maria João Cardoso

Neural Networks, 2005

Classification of Ordinal Data Using Neural Networks.

Joaquim F. Pinto da Costa, Jaime S. Cardoso

Proceedings of the Machine Learning: ECML 2005, 2005