Amauri Holanda de Souza Júnior

According to our database1, Amauri Holanda de Souza Júnior authored at least 25 papers between 2012 and 2020.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2020
Rethinking pooling in graph neural networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection.
CoRR, 2019

Gaussian kernels for incomplete data.
Appl. Soft Comput., 2019

A Novel Recommendation System for Next Feature in Software.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Simplifying Graph Convolutional Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

Probabilistic Multilateration: Model and Inference.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Audio Plugin Recommendation Systems for Music Production.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
A novel mobile robot localization approach based on classification with rejection option using computer vision.
Comput. Electr. Eng., 2018

A Fuzzy C-means-based Approach for Selecting Reference Points in Minimal Learning Machines.
Proceedings of the Fuzzy Information Processing, 2018

Opposite neighborhood: a new method to select reference points of minimal learning machines.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

Sparse Minimal Learning Machines Via L_1/2 Norm Regularization.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
Ensemble of Efficient Minimal Learning Machines for Classification and Regression.
Neural Process. Lett., 2017

Euclidean distance estimation in incomplete datasets.
Neurocomputing, 2017

Forward Stagewise Regression on Incomplete Datasets.
Proceedings of the Advances in Computational Intelligence, 2017

A Robust Minimal Learning Machine based on the M-Estimator.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016
A New Approach to Human Activity Recognition Using Machine Learning Techniques.
Proceedings of the Intelligent Systems Design and Applications, 2016

2015
Minimal Learning Machine: A novel supervised distance-based approach for regression and classification.
Neurocomputing, 2015

Regional models: A new approach for nonlinear system identification via clustering of the self-organizing map.
Neurocomputing, 2015

Ensemble of Minimal Learning Machines for Pattern Classification.
Proceedings of the Advances in Computational Intelligence, 2015

A Minimal Learning Machine for Datasets with Missing Values.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

A Cost Sensitive Minimal Learning Machine for Pattern Classification.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
MInD: Don't Use Agents as Objects.
Proceedings of the Artificial General Intelligence - 7th International Conference, 2014

2013
Minimal Learning Machine: A New Distance-Based Method for Supervised Learning.
Proceedings of the Advances in Computational Intelligence, 2013

2012
Robust Regional Modeling for Nonlinear System Identification Using Self-Organizing Maps.
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

Regional Models for Nonlinear System Identification Using the Self-Organizing Map.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012


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