Eulanda M. dos Santos

Orcid: 0000-0002-5671-581X

According to our database1, Eulanda M. dos Santos authored at least 55 papers between 2001 and 2024.

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

Timeline

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Bibliography

2024
Analysis of generalizability on predicting COVID-19 from chest X-ray images using pre-trained deep models.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., January, 2024

Adding compact parameter blocks to multimodal transformers to detect harmful memes.
Eng. Appl. Artif. Intell., 2024

Zero and Few-Shot Learning with Modern MLLMs to Filter Empty Images in Camera Trap Data.
Proceedings of the 37th SIBGRAPI Conference on Graphics, Patterns and Images, 2024

2023
Detecting hate speech in memes: a review.
Artif. Intell. Rev., November, 2023

Bag of tricks for long-tail visual recognition of animal species in camera-trap images.
Ecol. Informatics, September, 2023

Discriminative Singular Spectrum Classifier with applications on bioacoustic signal recognition.
Digit. Signal Process., March, 2023

A Context-Aware Approach for Filtering Empty Images in Camera Trap Data Using Siamese Network.
Proceedings of the 36th SIBGRAPI Conference on Graphics, Patterns and Images, 2023

2022
Applying Self-Supervised Representation Learning for Emotion Recognition Using Physiological Signals.
Sensors, 2022

Pattern-set Representations using Linear, Shallow and Tensor Subspaces.
CLEI Electron. J., 2022

2021
A Small World Graph Approach for an Efficient Indoor Positioning System.
Sensors, 2021

Correction to: Fukunaga-Koontz Convolutional Network with Applications on Character Classification.
Neural Process. Lett., 2021

Spam Detection Based on Feature Evolution to Deal with Concept Drift.
J. Univers. Comput. Sci., 2021

Tensor analysis with n-mode generalized difference subspace.
Expert Syst. Appl., 2021

Multilinear clustering via tensor Fukunaga-Koontz transform with Fisher eigenspectrum regularization.
Appl. Soft Comput., 2021

Detecting Test Audio Signal Automatically with Fourier Analysis and Pattern Recognition.
Proceedings of the IEEE International Conference on Consumer Electronics-Taiwan, 2021

Filtering Empty Camera Trap Images in Embedded Systems.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
An overview of unsupervised drift detection methods.
WIREs Data Mining Knowl. Discov., 2020

Fukunaga-Koontz Convolutional Network with Applications on Character Classification.
Neural Process. Lett., 2020

A semi-supervised convolutional neural network based on subspace representation for image classification.
EURASIP J. Image Video Process., 2020

A drift detection method based on dynamic classifier selection.
Data Min. Knowl. Discov., 2020

Discriminative Singular Spectrum Analysis for Bioacoustic Classification.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2019
A Decision-Based Dynamic Ensemble Selection Method for Concept Drift.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Tensor Fukunaga-Koontz Transform for Hierarchical Clustering.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
A Method for Opinion Classification in Video Combining Facial Expressions and Gestures.
Proceedings of the 31st SIBGRAPI Conference on Graphics, Patterns and Images, 2018

Efficient and Robust WiFi Indoor Positioning Using Hierarchical Navigable Small World Graphs.
Proceedings of the 17th IEEE International Symposium on Network Computing and Applications, 2018

A Drift Detection Method Based on Active Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Orthogonal Hankel Subspaces for Applications in Gesture Recognition.
Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017

A deep network model based on subspaces: A novel approach for image classification.
Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications, 2017

Mutual singular spectrum analysis for bioacoustics classification.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Hankel subspace method for efficient gesture representation.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Discriminative canonical correlation analysis network for image classification.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Subspace-Based Convolutional Network for Handwritten Character Recognition.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

A Method to Detect Boats in Images of the Amazonian Rivers.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016
Classification systems in dynamic environments: an overview.
WIREs Data Mining Knowl. Discov., 2016

A Framework for Chainsaw Detection Using One-Class Kernel and Wireless Acoustic Sensor Networks into the Amazon Rainforest.
Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

Poster Abstract: A Framework for Chainsaw Detection Using One-Class and WSNs.
Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2016

Kernel Two Dimensional Subspace for Image Set Classification.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Image-Set Matching by Two Dimensional Generalized Mutual Subspace Method.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015
A Comparison on Supervised Machine Learning Classification Techniques for Semantic Segmentation of Aerial Images of Rain Forest Regions.
Proceedings of the VISAPP 2015, 2015

Analysis of the evolution of features in classification problems with concept drift: Application to spam detection.
Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2015

Using active learning techniques for improving database schema matching methods.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A Dissimilarity-Based Drift Detection Method.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

2013
Ensemble of heterogeneous classifiers applied to lithofacies classification using logs from different wells.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Nudity detection based on image zoning.
Proceedings of the 11th International Conference on Information Science, 2012

Automatic classification of cross-site scripting in web pages using document-based and URL-based features.
Proceedings of the 2012 IEEE Symposium on Computers and Communications, 2012

Feature subset selection for automatically classifying anuran calls using sensor networks.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Classifier ensembles optimization guided by population oracle.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2009
Overfitting cautious selection of classifier ensembles with genetic algorithms.
Inf. Fusion, 2009

2008
A dynamic overproduce-and-choose strategy for the selection of classifier ensembles.
Pattern Recognit., 2008

Pareto analysis for the selection of classifier ensembles.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Overfitting in the selection of classifier ensembles: a comparative study between PSO and GA.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007
Ambiguity-guided dynamic selection of ensemble of classifiers.
Proceedings of the 10th International Conference on Information Fusion, 2007

2006
Single and Multi-Objective Genetic Algorithms for the Selection of Ensemble of Classifiers.
Proceedings of the International Joint Conference on Neural Networks, 2006

2002
A Comparative Study of Polynomial Kernel SVM Applied to Appearance-Based Object Recognition.
Proceedings of the Pattern Recognition with Support Vector Machines, 2002

2001
Appearance-Based Object Recognition Using Support Vector Machines.
Proceedings of the 14th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2001), 2001


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