Publications
Found 205 results
[ Author] Title Type Year Filters: First Letter Of Last Name is C [Clear All Filters]
Combining ranking with traditional methods for ordinal class imbalance. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).; 2017. Edit
Preface [Proceedings of the International Conference on Semigroups and Related Topics]. Internat. J. Algebra Comput.. 2011;21:v–vi.Edit
A Weighted Principal Component Analysis and Its Application to Gene Expression Data. IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS. 2011.Edit
Longitudinal Changes of Cardiotocographic Parameters Throughout Pregnancy: a Prospective Cohort Study Comparing Small-For-Gestational-Age and Normal Fetuses from 24 to 40 Weeks. Journal of Perinatal Medicine. 2017;45(4):493-501.Edit
ARCADE: A Prediction Method for Nominal Variables. Intelligent Data Analysis. 1998;2:265-286.Edit
The sampling methodology to facilitate biodiversity assessment in public green spaces. URBAN FORESTRY & URBAN GREENING. 2016.Edit
Hierarchical medical image annotation using SVM-based approaches. In: Proceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB.; 2010. Edit
SVMs applied to objective aesthetic evaluation of conservative breast cancer treatment. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN), Vols 1-5.; 2005. Edit
Co-evolution importance on binding Hot-Spot prediction methods. In: Proceedings of MOL2NET 2016, International Conference on Multidisciplinary Sciences, 2nd edition.; 2017. Edit
A priori-driven PCA. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).; 2013. Edit
corrigendum to "the unimodal model for the classification of ordinal data" [neural netw. 21 (2008) 78-79] (doi:10.1016/j.neunet.2007.10.003). neural networks. 2014.Edit
Measures to evaluate rankings of classification algorithms. In: DATA ANALYSIS, CLASSIFICATION, AND RELATED METHODS.; 2000. Edit
Tackling Class Imbalance with Ranking. In: 2016 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN).; 2016. Edit
An all-at-once unimodal SVM approach for ordinal classification. In: Proceedings - 9th International Conference on Machine Learning and Applications, ICMLA 2010.; 2010. Edit
Methodological developments in decision trees. An application to protein secondary structure prediction. In: ORDINAL AND SYMBOLIC DATA ANALYSIS.; 1996. Edit
Corrigendum to "The unimodal model for the classification of ordinal data" [Neural Netw. 21, (2008) 78-79] DOI: 10.1016/j.neunet.2007.10.003. 2014.Edit
A shortest path approach for staff line detection. In: AXMEDIS 2007: THIRD INTERNATIONAL CONFERENCE ON AUTOMATED PRODUCTION OF CROSS MEDIA CONTENT FOR MULTI-CHANNEL DISTRIBUTION, PROCEEDINGS.; 2007. Edit
the weighted rank correlation coefficient rw2 in the case of ties. statistics and probability letters. 2015;99:20-26.Edit
Clustered partial linear regression. MACHINE LEARNING: ECML 2000. 2000.Edit
An approach for assessing the distribution of reporting delay in Portuguese AIDS data. In: Advances in Intelligent Systems and Computing.; 2016. Edit
A performance study of a consensus clustering algorithm and properties of partition graph. In: 2010 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2010.; 2010. Edit
Modelling ordinal relations with SVMs: An application to objective aesthetic evaluation of breast cancer conservative treatment. NEURAL NETWORKS. 2005.Edit
Mining binary attributes. In: DATA MINING.; 1998.
The spectral analysis of heart rate variability. A comparative study between nonparametric and parametric spectral analysis in short series . {Revista portuguesa de cardiologia : orgao oficial da Sociedade Portuguesa de Cardiologia = Portuguese journal of cardiology : an official journal of the Portuguese Society of Cardiology}. 1995;{14}:{621-626}.Edit