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Catarina Silva
2010 – today
- 2013
[c28]Joana Cósta, Catarina Silva, Mário João Gonçalves Antunes, Bernardete Ribeiro: Defining Semantic Meta-hashtags for Twitter Classification. ICANNGA 2013: 226-235- 2012
- [j5]Bernardete Ribeiro, Catarina Silva, Ning Chen, Armando Vieira, João Carvalho das Neves: Enhanced default risk models with SVM+. Expert Syst. Appl. 39(11): 10140-10152 (2012)
- [c27]Simone Ashby, Sílvia Barbosa, Silvia Brandão, José Pedro Ferreira, Maarten Janssen, Catarina Silva, Mário Eduardo Viaro: A Rule Based Pronunciation Generator and Regional Accent Databank for Portuguese. INTERSPEECH 2012
- 2011
- [c26]Mário João Gonçalves Antunes, Catarina Silva, Bernardete Ribeiro, Manuel Eduardo Correia: A Hybrid AIS-SVM Ensemble Approach for Text Classification. ICANNGA (2) 2011: 342-352
- [c25]Joana Cósta, Catarina Silva, Mário João Gonçalves Antunes, Bernardete Ribeiro: The Importance of Precision in Humour Classification. IDEAL 2011: 271-278
- [c24]Catarina Silva, Bernardete Ribeiro: Purging False Negatives in Cancer Diagnosis Using Incremental Active Learning. IDEAL 2011: 394-402
- [c23]Joana Cósta, Catarina Silva, Mário João Gonçalves Antunes, Bernardete Ribeiro: On using crowdsourcing and active learning to improve classification performance. ISDA 2011: 469-474
- [c22]Joana Cósta, Catarina Silva, Mário João Gonçalves Antunes, Bernardete Ribeiro: Get Your Jokes Right: Ask the Crowd. MEDI 2011: 178-185
- 2010
- [b1]Catarina Silva, Bernardete Ribeiro: Inductive Inference for Large Scale Text Classification: Kernel Approaches and Techniques. Studies in Computational Intelligence 255, Springer 2010, ISBN 978-3-642-04532-5
- [j4]Catarina Silva, Uros Lotric, Bernardete Ribeiro, Andrej Dobnikar: Distributed Text Classification With an Ensemble Kernel-Based Learning Approach. IEEE Transactions on Systems, Man, and Cybernetics, Part C 40(3): 287-297 (2010)
- [c21]Bernardete Ribeiro, Noel Lopes, Catarina Silva: High-performance bankruptcy prediction model using Graphics Processing Units. IJCNN 2010: 1-7
- [c20]Bernardete Ribeiro, Catarina Silva, Armando Vieira, António Gaspar-Cunha, João Carvalho das Neves: Financial distress model prediction using SVM+. IJCNN 2010: 1-7
- [c19]Catarina Silva, Bernardete Ribeiro, Noel Lopes: Improving recall values in breast cancer diagnosis with Incremental Background Knowledge. IJCNN 2010: 1-6
2000 – 2009
- 2009
- [c18]Catarina Silva, Bernardete Ribeiro: Improving Text Classification Performance with Incremental Background Knowledge. ICANN (1) 2009: 923-931
- [c17]Catarina Silva, Bernardete Ribeiro: Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning. ICANNGA 2009: 370-379
- [c16]Bernardete Ribeiro, Catarina Silva, Armando Vieira, João Carvalho das Neves: Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data. ICANNGA 2009: 537-547
- [c15]Catarina Silva, Bernardete Ribeiro: Knowledge Extraction with Non-Negative Matrix Factorization for Text Classification. IDEAL 2009: 300-308
- 2008
- [j3]Catarina Silva, Bernardete Ribeiro: Towards Expanding Relevance Vector Machines to Large Scale Datasets. Int. J. Neural Syst. 18(1): 45-58 (2008)
- [c14]Catarina Silva, Bernardete Ribeiro: Text Classification on Embedded Manifolds. IBERAMIA 2008: 272-281
- [c13]Catarina Silva, Bernardete Ribeiro, Uros Lotric, Andrej Dobnikar: Distributed Ensemble Learning in Text Classification. ICEIS (2) 2008: 420-423
- [c12]Catarina Silva, Bernardete Ribeiro: Selecting Examples in Manifold Reduced Feature Space for Active Learning. ICMLA 2008: 54-59
- [c11]Bernardete Ribeiro, Armando Vieira, João Duarte, Catarina Silva, João Carvalho das Neves, Qingzhong Liu, Andrew H. Sung: Learning Manifolds for Bankruptcy Analysis. ICONIP (1) 2008: 723-730
- [c10]Rita Ferreira, Bernardete Ribeiro, Catarina Silva, Qingzhong Liu, Andrew H. Sung: Building resilient classifiers for LSB matching steganography. IJCNN 2008: 1562-1567
- 2007
- [j2]Catarina Silva, Bernardete Ribeiro: On Text-based Mining with Active Learning and Background Knowledge Using SVM. Soft Comput. 11(6): 519-530 (2007)
- [c9]Catarina Silva, Bernardete Ribeiro, Andrew H. Sung: Boosting RVM Classifiers for Large Data Sets. ICANNGA (2) 2007: 228-237
- [c8]Catarina Silva, Bernardete Ribeiro: Combining active learning and relevance vector machines for text classification. ICMLA 2007: 130-135
- 2006
- [c7]Catarina Silva, Bernardete Ribeiro: Two-Level Hierarchical Hybrid SVM-RVM Classification Model. ICMLA 2006: 89-94
- [c6]Catarina Silva, Bernardete Ribeiro: Automated Learning of RVM for Large Scale Text Sets: Divide to Conquer. IDEAL 2006: 878-886
- [c5]Catarina Silva, Bernardete Ribeiro: Scaling Text Classification with Relevance Vector Machines. SMC 2006: 4186-4191
- 2005
- [c4]Catarina Silva, Bernardete Ribeiro, Uros Lotric: Speeding-up text categorization in a grid computing environment. ICMLA 2005
- 2004
- [c3]Catarina Silva, Bernardete Ribeiro: Margin-Based Active Learning and Background Knowledge in Text Mining. HIS 2004: 8-13
- 2003
- [j1]Catarina Silva, Bernardete Ribeiro: Navigating mobile robots with a modular neural architecture. Neural Computing and Applications 12(3-4): 200-211 (2003)
- [c2]Catarina Silva, Bernardete Ribeiro: On the Evaluation of Text Processing in Text Categorization. ICMLA 2003: 121-127
- 2000
- [c1]Catarina Silva, Manuel M. Crisóstomo, Bernardete Ribeiro: MONODA: A Neural Modular Architecture for Obstacle Avoidance without Knowledge of the Environment. IJCNN (6) 2000: 334-342
Coauthor Index
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last updated on 2013-05-28 21:35 CEST by the dblp team