Amauri H. Souza

According to our database, Amauri H. Souza authored at least 42 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

In-n-Out: Calibrating Graph Neural Networks for Link Prediction.

Erik Nascimento, Diego Mesquita, Samuel Kaski, Amauri H. Souza

CoRR, 2024

Topological Neural Networks go Persistent, Equivariant, and Continuous.

Yogesh Verma, Amauri H. Souza, Vikas Garg

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Embarrassingly Parallel GFlowNets.

Tiago da Silva, Luiz Max Carvalho, Amauri H. Souza, Samuel Kaski, Diego Mesquita

Proceedings of the Forty-first International Conference on Machine Learning, 2024

On the Generalization of Equivariant Graph Neural Networks.

Rafal Karczewski, Amauri H. Souza, Vikas Garg

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Minimal Learning Machine for Multi-Label Learning.

Joonas Hämäläinen, Amauri H. de Souza, César L. C. Mattos, João P. P. Gomes, Tommi Kärkkäinen

CoRR, 2023

Going beyond persistent homology using persistent homology.

Johanna Immonen, Amauri H. Souza, Vikas Garg

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Robust Statistics for Simulation-based Inference under Model Misspecification.

Daolang Huang, Ayush Bharti, Amauri H. Souza, Luigi Acerbi, Samuel Kaski

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Distill n' Explain: explaining graph neural networks using simple surrogates.

Tamara A. Pereira, Erik Nascimento, Lucas E. Resck, Diego Mesquita, Amauri H. Souza

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Pattern classification based on regional models.

Rômulo B. P. Drumond, Renan F. Albuquerque, Guilherme A. Barreto, Amauri H. Souza

Appl. Soft Comput., 2022

Provably expressive temporal graph networks.

Amauri H. Souza, Diego Mesquita, Samuel Kaski, Vikas Garg

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ConveXplainer for Graph Neural Networks.

Tamara A. Pereira, Erik Jhones F. do Nascimento, Diego Mesquita, Amauri H. Souza

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021

Procedural Generation of Isometric Racetracks Using Chain Code for Racing Games.

Erik Jhones F. do Nascimento, Tassiana M. Castro, Ana Carolina S. Abreu, Filipe A. Lira, Amauri H. Souza

Proceedings of the 20th Brazilian Symposium on Computer Games and Digital Entertainment, 2021

Improving Graph Variational Autoencoders with Multi-Hop Simple Convolutions.

Erik Jhones F. do Nascimento, Amauri H. Souza, Diego Mesquita

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

Rethinking pooling in graph neural networks.

Diego P. P. Mesquita, Amauri H. Souza Jr., Samuel Kaski

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.

Joonas Hämäläinen, Alisson S. C. Alencar, Tommi Kärkkäinen, César L. C. Mattos, Amauri H. Souza Júnior, João P. P. Gomes

CoRR, 2019

Gaussian kernels for incomplete data.

Diego P. P. Mesquita, João P. P. Gomes, Francesco Corona, Amauri Holanda de Souza Júnior, Juvêncio S. Nobre

Appl. Soft Comput., 2019

A Novel Recommendation System for Next Feature in Software.

Victor R. Prata, Ronaldo S. Moreira, Luan Sousa Cordeiro, Átilla N. Maia, Alan Rabelo Martins, Davi A. Leão, C. H. L. Cavalcante, Amauri H. Souza Júnior, Ajalmar R. da Rocha Neto

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Simplifying Graph Convolutional Networks.

Felix Wu, Amauri H. Souza Jr., Tianyi Zhang, Christopher Fifty, Tao Yu, Kilian Q. Weinberger

Proceedings of the 36th International Conference on Machine Learning, 2019

Probabilistic Multilateration: Model and Inference.

Daniel Jean Rodrigues Vasconcelos, Amauri Holanda de Souza Júnior, Francesco Corona

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Audio Plugin Recommendation Systems for Music Production.

Paulo Mateus Moura da Silva, César Lincoln Cavalcante Mattos, Amauri Holanda de Souza Júnior

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.

Leandro Bezerra Marinho, Pedro Pedrosa Rebouças Filho, Jefferson S. Almeida, João Wellington M. Souza, Amauri Holanda de Souza Júnior, Victor Hugo C. de Albuquerque

Comput. Electr. Eng., 2018

A Fuzzy C-means-based Approach for Selecting Reference Points in Minimal Learning Machines.

José A. V. Florêncio, Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto, Amauri Holanda de Souza Júnior

Proceedings of the Fuzzy Information Processing, 2018

Opposite neighborhood: a new method to select reference points of minimal learning machines.

Madson Luiz Dantas Dias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, Amauri H. Souza Júnior

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

A Modified Symbiotic Organisms Search Algorithm Applied to Flow Shop Scheduling Problems.

Leonardo Ramos Rodrigues, João Paulo Pordeus Gomes, Ajalmar R. da Rocha Neto, Amauri H. de Souza

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Sparse Minimal Learning Machines Via L_1/2 Norm Regularization.

Madson Luiz Dantas Dias, Ananda L. Freire, Amauri H. Souza Júnior, Ajalmar R. da Rocha Neto, João Paulo Pordeus Gomes

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017

Ensemble of Efficient Minimal Learning Machines for Classification and Regression.

Diego P. P. Mesquita, João P. P. Gomes, Amauri Holanda de Souza Júnior

Neural Process. Lett., 2017

Euclidean distance estimation in incomplete datasets.

Diego Parente Paiva Mesquita, João P. P. Gomes, Amauri Holanda Souza Júnior, Juvêncio Santos Nobre

Neurocomputing, 2017

Forward Stagewise Regression on Incomplete Datasets.

Marcelo B. A. Veras, Diego P. P. Mesquita, João P. P. Gomes, Amauri H. Souza Júnior, Guilherme A. Barreto

Proceedings of the Advances in Computational Intelligence, 2017

A Robust Minimal Learning Machine based on the M-Estimator.

João P. P. Gomes, Diego P. P. Mesquita, Ananda Freire, Amauri H. Souza Júnior, Tommi Kärkkäinen

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

A New Approach to Human Activity Recognition Using Machine Learning Techniques.

Leandro Bezerra Marinho, Amauri Holanda de Souza Júnior, Pedro Pedrosa Rebouças Filho

Proceedings of the Intelligent Systems Design and Applications, 2016

Efficient Minimal Learning Machines with Reject Option.

Adonias C. de Oliveira, João Paulo Pordeus Gomes, Ajalmar R. da Rocha Neto, Amauri H. de Souza

Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015

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

Amauri Holanda de Souza Júnior, Francesco Corona, Guilherme De A. Barreto, Yoan Miché, Amaury Lendasse

Neurocomputing, 2015

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

Amauri H. Souza Júnior, Guilherme De A. Barreto, Francesco Corona

Neurocomputing, 2015

Ensemble of Minimal Learning Machines for Pattern Classification.

Diego Parente Paiva Mesquita, João Paulo Pordeus Gomes, Amauri Holanda Souza Júnior

Proceedings of the Advances in Computational Intelligence, 2015

A Minimal Learning Machine for Datasets with Missing Values.

Diego Parente Paiva Mesquita, João Paulo Pordeus Gomes, Amauri H. Souza Jr.

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

A Cost Sensitive Minimal Learning Machine for Pattern Classification.

João Paulo Pordeus Gomes, Amauri H. Souza Jr., Francesco Corona, Ajalmar R. da Rocha Neto

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

MLM-rank: A Ranking Algorithm Based on the Minimal Learning Machine.

Alisson S. C. Alencar, Weslley L. Caldas, João Paulo Pordeus Gomes, Amauri H. de Souza, Paulo A. C. Aguilar, Cristiano Rodrigues, Wellington Franco, Miguel F. de Castro, Rossana M. C. Andrade

Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

2014

Regularized Supervised Distance Preserving Projections for Short-Text Classification.

Alisson S. C. Alencar, João Paulo Pordeus Gomes, Amauri H. de Souza, Livio A. M. Freire, José Wellington Franco da Silva, Rossana M. C. Andrade, Miguel F. de Castro

Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

MInD: Don't Use Agents as Objects.

Renato Lenz Costalima, Amauri Holanda Souza Júnior, Cidcley Teixeira de Souza, Gustavo Augusto Lima de Campos

Proceedings of the Artificial General Intelligence - 7th International Conference, 2014

2013

Minimal Learning Machine: A New Distance-Based Method for Supervised Learning.

Amauri Holanda de Souza Júnior, Francesco Corona, Yoan Miche, Amaury Lendasse, Guilherme A. Barreto, Olli Simula

Proceedings of the Advances in Computational Intelligence, 2013

2012

Robust Regional Modeling for Nonlinear System Identification Using Self-Organizing Maps.

Amauri Holanda de Souza Júnior, Francesco Corona, Guilherme A. Barreto

Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

Regional Models for Nonlinear System Identification Using the Self-Organizing Map.

Amauri Holanda de Souza Júnior, Guilherme De A. Barreto

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012