Márjory Cristiany Da Costa Abreu

Orcid: 0000-0001-7461-7570

According to our database1, Márjory Cristiany Da Costa Abreu authored at least 37 papers between 2004 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Phoneme analysis for multiple languages with fuzzy-based speaker identification.
IET Biom., November, 2022

2021
Investigating the use of an ensemble of evolutionary algorithms for letter identification in tremulous medieval handwriting.
Evol. Intell., 2021

2020
An investigation of the predictability of the Brazilian three-modal hand-based behavioural biometric: a feature selection and feature-fusion approach.
J. Braz. Comput. Soc., 2020

A survey on automatic speech recognition systems for Portuguese language and its variations.
Comput. Speech Lang., 2020

2019
An investigation of latency prediction for NoC-based communication architectures using machine learning techniques.
J. Supercomput., 2019

FAMOS: a framework for investigating the use of face features to identify spontaneous emotions.
Pattern Anal. Appl., 2019

Investigating the Impact of Combining Handwritten Signature and Keyboard Keystroke Dynamics for Gender Prediction.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
An empirical biometric-based study for user identification with different neural networks in the online game League of Legends.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Predictive biometrics: a review and analysis of predicting personal characteristics from biometric data.
IET Biom., 2017

2016
Using keystroke and mouse dynamics for user identification in the online collaborative game league of legends.
Proceedings of the 7th International Conference on Imaging for Crime Detection and Prevention, 2016

2015
Selective Review and Analysis of Aging Effects in Biometric System Implementation.
IEEE Trans. Hum. Mach. Syst., 2015

Exploring emotion prediction from biometric-based keystroke dynamics data using multiagent systems.
Proceedings of the 6th International Conference on Imaging for Crime Detection and Prevention, 2015

Exploring Gender Prediction from Iris Biometrics.
Proceedings of the BIOSIG 2015, 2015

2014
Improved age prediction from biometric data using multimodal configurations.
Proceedings of the BIOSIG 2014, 2014

2013
Age prediction from iris biometrics.
Proceedings of the 5th International Conference on Imaging for Crime Detection and Prevention, 2013

2012
Improving Handwritten Signature-Based Identity Prediction through the Integration of Fuzzy Soft-Biometric Data.
Proceedings of the 2012 International Conference on Frontiers in Handwriting Recognition, 2012

2011
Enhancing Identity Prediction Using a Novel Approach to Combining Hard- and Soft-Biometric Information.
IEEE Trans. Syst. Man Cybern. Part C, 2011

Using keystroke dynamics for gender identification in social network environment.
Proceedings of the 4th International Conference on Imaging for Crime Detection and Prevention, 2011

Combining Multiagent Negotiation and an Interacting Verification Process to Enhance Biometric-Based Identification.
Proceedings of the Biometrics and ID Management, 2011

2009
Analyzing the Benefits of a Novel Multiagent Approach in a Multimodal Biometrics Identification Task.
IEEE Syst. J., 2009

Improving forgery detection in off-line forensic signature processing.
Proceedings of the 3rd International Conference on Imaging for Crime Detection and Prevention, 2009

An Investigation of Predictive Profiling from Handwritten Signature Data.
Proceedings of the 10th International Conference on Document Analysis and Recognition, 2009

Improving Identity Prediction in Signature-based Unimodal Systems Using Soft Biometrics.
Proceedings of the Biometric ID Management and Multimodal Communication, 2009

2008
An analysis of data distribution in the ClassAge system: An agent-based system for classification tasks.
Neurocomputing, 2008

An Empirical Comparison of Individual Machine Learning Techniques in Signature and Fingerprint Classification.
Proceedings of the Biometrics and Identity Management, First European Workshop, 2008

2007
Investigating the influence of the choice of the ensemble members in accuracy and diversity of selection-based and fusion-based methods for ensembles.
Pattern Recognit. Lett., 2007

Investigating the use of a multi-agent system for knowledge discovery in databases.
Int. J. Hybrid Intell. Syst., 2007

An Experimental Study on the Importance of the Choice of the Ensemble Members in Fuzzy Combination Methods.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

Evaluating the Influence of the Choice of the Ensemble Members in Some Fuzzy Combination Methods.
Proceedings of the International Joint Conference on Neural Networks, 2007

Using Fuzzy, Neural and Fuzzy-Neural Combination Methods in Ensembles with Different Levels of Diversity.
Proceedings of the Artificial Neural Networks, 2007

2006
Using weighted dynamic classifier selection methods in ensembles with different levels of diversity.
Int. J. Hybrid Intell. Syst., 2006

A Neuro-Fuzzy-Based Agent System with Data Distribution among the Agents for Classification Tasks.
Proceedings of the SBRN 2006, 2006

Analyzing the Performance of an Agent-based Neural System for Classification Tasks Using Data Distribution among the Agents.
Proceedings of the International Joint Conference on Neural Networks, 2006

Analyzing the Benefits of Using a Fuzzy-Neuro Model in the Accuracy of the NeurAge System: an Agent-Based System for Classification Tasks.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Performance and Diversity Evaluation in Hybrid and Non-Hybrid Structures of Ensembles.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

A Comparative Analysis of Negotiation Methods for a Multi-neural Agent System.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

2004
Investigating the Use of an Agent-Based Multi-classifier System for Classification Tasks.
Proceedings of the Neural Information Processing, 11th International Conference, 2004


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