Rafael M. O. Cruz
Orcid: 0000-0001-9446-1040
According to our database1,
Rafael M. O. Cruz
authored at least 62 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
A dynamic multiple classifier system using graph neural network for high dimensional overlapped data.
Inf. Fusion, March, 2024
Neural Comput. Appl., February, 2024
Inf. Fusion, February, 2024
Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification.
CoRR, 2024
Artif. Intell. Rev., 2024
2023
Security Relevant Methods of Android's API Classification: A Machine Learning Empirical Evaluation.
IEEE Trans. Computers, November, 2023
A multi-task approach for contrastive learning of handwritten signature feature representations.
Expert Syst. Appl., May, 2023
Appl. Soft Comput., January, 2023
MoSAR: Monocular Semi-Supervised Model for Avatar Reconstruction using Differentiable Shading.
CoRR, 2023
Adaptive Generation of Privileged Intermediate Information for Visible-Infrared Person Re-Identification.
CoRR, 2023
Fusion for Visual-Infrared Person ReID in Real-World Surveillance Using Corrupted Multimodal Data.
CoRR, 2023
IEEE Access, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
GNN-DES: A New End-to-End Dynamic Ensemble Selection Method Based on Multi-label Graph Neural Network.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2023
2022
Selecting and combining complementary feature representations and classifiers for hate speech detection.
Online Soc. Networks Media, 2022
Inf. Fusion, 2022
Contrastive Learning of Handwritten Signature Representations for Writer-Independent Verification.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022
Knowledge Distillation for Multi-Target Domain Adaptation in Real-Time Person Re-Identification.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022
2020
A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification.
Expert Syst. Appl., 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
An Investigation of Feature Selection and Transfer Learning for Writer-Independent Offline Handwritten Signature Verification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
Pattern Recognit., 2019
FIRE-DES++: Enhanced online pruning of base classifiers for dynamic ensemble selection.
Pattern Recognit., 2019
Dynamic Ensemble Selection and Data Preprocessing for Multi-Class Imbalance Learning.
Int. J. Pattern Recognit. Artif. Intell., 2019
On Dissimilarity Representation and Transfer Learning for Offline Handwritten Signature Verification.
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Characterization of Handwritten Signature Images in Dissimilarity Representation Space.
Proceedings of the Computational Science - ICCS 2019, 2019
2018
Neural Comput. Appl., 2018
A study on combining dynamic selection and data preprocessing for imbalance learning.
Neurocomputing, 2018
ICPRAI 2018 SI: On dynamic ensemble selection and data preprocessing for multi-class imbalance learning.
CoRR, 2018
CoRR, 2018
CoRR, 2018
On dynamic ensemble selection and data preprocessing for multi-class imbalance learning.
CoRR, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
Inf. Fusion, 2017
Dynamic ensemble selection VS K-NN: Why and when dynamic selection obtains higher classification performance?
Proceedings of the Seventh International Conference on Image Processing Theory, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Analyzing different prototype selection techniques for dynamic classifier and ensemble selection.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Neurocomputing, 2016
Meta-regression based pool size prediction scheme for dynamic selection of classifiers.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
2015
Pattern Recognit., 2015
A DEEP analysis of the META-DES framework for dynamic selection of ensemble of classifiers.
CoRR, 2015
META-DES.H: A Dynamic Ensemble Selection technique using meta-learning and a dynamic weighting approach.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2014
2013
Feature representation selection based on Classifier Projection Space and Oracle analysis.
Expert Syst. Appl., 2013
2011
A method for dynamic ensemble selection based on a filter and an adaptive distance to improve the quality of the regions of competence.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
2010
An ensemble classifier for offline cursive character recognition using multiple feature extraction techniques.
Proceedings of the International Joint Conference on Neural Networks, 2010