Márjory Cristiany Da Costa Abreu
List of publications from the DBLP Bibliography Server - FAQ| 2012 | ||
|---|---|---|
| c14 | Márjory Cristiany Da Costa Abreu, Michael C. Fairhurst: Improving Handwritten Signature-Based Identity Prediction through the Integration of Fuzzy Soft-Biometric Data. ICFHR 2012: 797-802 | |
| 2011 | ||
| j5 | Márjory Cristiany Da Costa Abreu, Michael C. Fairhurst: Enhancing Identity Prediction Using a Novel Approach to Combining Hard- and Soft-Biometric Information. IEEE Transactions on Systems, Man, and Cybernetics, Part C 41(5): 599-607 (2011) | |
| c13 | Marjory C. C. Abreu, Michael C. Fairhurst: Combining Multiagent Negotiation and an Interacting Verification Process to Enhance Biometric-Based Identification. BIOID 2011: 95-105 | |
| 2009 | ||
| j4 | Marjory C. C. Abreu, Michael C. Fairhurst: Analyzing the Benefits of a Novel Multiagent Approach in a Multimodal Biometrics Identification Task. IEEE Systems Journal 3(4): 410-417 (2009) | |
| c12 | Márjory Cristiany Da Costa Abreu, Michael C. Fairhurst: Improving Identity Prediction in Signature-based Unimodal Systems Using Soft Biometrics. COST 2101/2102 Conference 2009: 348-356 | |
| c11 | Michael C. Fairhurst, Márjory Cristiany Da Costa Abreu: An Investigation of Predictive Profiling from Handwritten Signature Data. ICDAR 2009: 1305-1309 | |
| 2008 | ||
| c10 | Marjory C. C. Abreu, Michael C. Fairhurst: An Empirical Comparison of Individual Machine Learning Techniques in Signature and Fingerprint Classification. BIOID 2008: 130-139 | |
| 2007 | ||
| j3 | Anne M. P. Canuto, André M. C. Campos, Valéria Maria S. Bezerra, Marjory C. C. Abreu: Investigating the use of a multi-agent system for knowledge discovery in databases. Int. J. Hybrid Intell. Syst. 4(1): 27-38 (2007) | |
| j2 | Anne M. P. Canuto, Marjory C. C. Abreu, Lucas de Melo Oliveira, João Carlos Xavier Jr., Araken M. Santos: Investigating the influence of the choice of the ensemble members in accuracy and diversity of selection-based and fusion-based methods for ensembles. Pattern Recognition Letters 28(4): 472-486 (2007) | |
| c9 | Anne M. P. Canuto, Marjory C. C. Abreu: Using Fuzzy, Neural and Fuzzy-Neural Combination Methods in Ensembles with Different Levels of Diversity. ICANN (1) 2007: 349-359 | |
| c8 | Marjory C. C. Abreu, Anne M. P. Canuto: Evaluating the Influence of the Choice of the Ensemble Members in Some Fuzzy Combination Methods. IJCNN 2007: 448-453 | |
| c7 | Marjory C. C. Abreu, Anne Magaly de Paula Canuto: An Experimental Study on the Importance of the Choice of the Ensemble Members in Fuzzy Combination Methods. ISDA 2007: 723-728 | |
| 2006 | ||
| j1 | Anne M. P. Canuto, Diogo Fagundes, Marjory C. C. Abreu, João Carlos Xavier Jr.: Using weighted dynamic classifier selection methods in ensembles with different levels of diversity. Int. J. Hybrid Intell. Syst. 3(3): 147-158 (2006) | |
| c6 | Laura Emmanuella O. Santana, Anne M. P. Canuto, Marjory C. C. Abreu: Analyzing the Performance of an Agent-based Neural System for Classification Tasks Using Data Distribution among the Agents. IJCNN 2006: 2951-2958 | |
| c5 | Marjory C. C. Abreu, Anne M. P. Canuto: Analyzing the Benefits of Using a Fuzzy-Neuro Model in the Accuracy of the NeurAge System: an Agent-Based System for Classification Tasks. IJCNN 2006: 2959-2966 | |
| c4 | Laura Emmanuella O. Santana, Anne M. P. Canuto, Marjory C. C. Abreu: A Neuro-Fuzzy-Based Agent System with Data Distribution among the Agents for Classification Tasks. SBRN 2006: 154-159 | |
| 2005 | ||
| c3 | Anne M. P. Canuto, Lucas de Melo Oliveira, João Carlos Xavier Jr., Araken M. Santos, Marjory C. C. Abreu: Performance and Diversity Evaluation in Hybrid and Non-Hybrid Structures of Ensembles. HIS 2005: 285-290 | |
| c2 | Marjory C. C. Abreu, Anne M. P. Canuto, Laura Emmanuella A. Santana: A Comparative Analysis of Negotiation Methods for a Multi-neural Agent System. HIS 2005: 451-456 | |
| 2004 | ||
| c1 | Anne M. P. Canuto, Araken M. Santos, Marjory C. C. Abreu, Valéria Maria S. Bezerra, Fernanda M. Souza, Manuel F. Gomes Junior: Investigating the Use of an Agent-Based Multi-classifier System for Classification Tasks. ICONIP 2004: 854-859 | |
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