Regional Models for Nonlinear System Identification Using the Self-Organizing Map. - Amauri Holanda de Souza Júnior; Guilherme De A. Barreto (IDEAL, 2012)

Robust Regional Modeling for Nonlinear System Identification Using Self-Organizing Maps. - Amauri Holanda de Souza Júnior; Francesco Corona; Guilherme A. Barreto (WSOM, 2012)

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 (IWANN (1), 2013)

MInD: Don't Use Agents as Objects. - Renato Lenz Costalima; Amauri Holanda Souza Júnior; Cidcley Teixeira de Souza; Gustavo Augusto Lima de Campos (AGI, 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 (BRACIS, 2014)

Regional models and minimal learning machines for nonlinear dynamical system identification - Amauri H. Souza (2014)

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 (BRACIS, 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 (ICONIP (1), 2015)

A Minimal Learning Machine for Datasets with Missing Values. - Diego Parente Paiva Mesquita; João Paulo Pordeus Gomes; Amauri H. Souza Jr. (ICONIP (1), 2015)

Ensemble of Minimal Learning Machines for Pattern Classification. - Diego Parente Paiva Mesquita; João Paulo Pordeus Gomes; Amauri Holanda Souza Júnior (IWANN (2), 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)

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)

Efficient Minimal Learning Machines with Reject Option. - Adonias Caetano de Oliveira; João Paulo Pordeus Gomes; Ajalmar R. da Rocha Neto; Amauri H. de Souza (BRACIS, 2016)

A New Approach to Human Activity Recognition Using Machine Learning Techniques. - Leandro Bezerra Marinho; Amauri Holanda de Souza Júnior; Pedro Pedrosa Rebouças Filho (ISDA, 2016)

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 (ESANN, 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 (IWANN (1), 2017)

Euclidean distance estimation in incomplete datasets. - Diego P. P. Mesquita; João P. P. Gomes; Amauri Holanda Souza Júnior; Juvêncio Santos Nobre (Neurocomputing, 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)

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 (BRACIS, 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 (CEC, 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 (ESANN, 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 (NAFIPS, 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)

Audio Plugin Recommendation Systems for Music Production. - Paulo Mateus Moura da Silva; César Lincoln Cavalcante Mattos; Amauri Holanda de Souza Júnior (BRACIS, 2019)

Probabilistic Multilateration: Model and Inference. - Daniel Jean Rodrigues Vasconcelos; Amauri Holanda de Souza Júnior; Francesco Corona (BRACIS, 2019)

Simplifying Graph Convolutional Networks. - Felix Wu; Amauri H. Souza Jr.; Tianyi Zhang 007; Christopher Fifty; Tao Yu; Kilian Q. Weinberger (ICML, 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 (IDEAL (1), 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)

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)

Rethinking pooling in graph neural networks. - Diego Mesquita; Amauri H. Souza Jr.; Samuel Kaski (NeurIPS, 2020)

Improving Graph Variational Autoencoders with Multi-Hop Simple Convolutions. - Erik Jhones F. do Nascimento; Amauri H. Souza; Diego Mesquita (ESANN, 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 (SBGames, 2021)

ConveXplainer for Graph Neural Networks. - Tamara A. Pereira; Erik Jhones F. do Nascimento; Diego Mesquita; Amauri H. Souza (BRACIS (2), 2022)

Provably expressive temporal graph networks. - Amauri H. Souza; Diego Mesquita; Samuel Kaski; Vikas Garg 001 (NeurIPS, 2022)

Pattern classification based on regional models. - Rômulo B. P. Drumond; Renan F. Albuquerque; Guilherme A. Barreto; Amauri H. Souza (Appl. Soft Comput., 2022)

Distill n' Explain: explaining graph neural networks using simple surrogates. - Tamara A. Pereira; Erik Nascimento; Lucas E. Resck; Diego Mesquita; Amauri H. Souza (AISTATS, 2023)

Learning Robust Statistics for Simulation-based Inference under Model Misspecification. - Daolang Huang; Ayush Bharti; Amauri H. Souza; Luigi Acerbi; Samuel Kaski (NeurIPS, 2023)

Going beyond persistent homology using persistent homology. - Johanna Immonen; Amauri H. Souza; Vikas Garg 001 (NeurIPS, 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)

On the Generalization of Equivariant Graph Neural Networks. - Rafal Karczewski; Amauri H. Souza; Vikas Garg 001 (ICML, 2024)

Embarrassingly Parallel GFlowNets. - Tiago da Silva; Luiz Max Carvalho; Amauri H. Souza; Samuel Kaski; Diego Mesquita (ICML, 2024)

Topological Neural Networks go Persistent, Equivariant, and Continuous. - Yogesh Verma; Amauri H. Souza; Vikas Garg 001 (ICML, 2024)

Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond. - Kirill Brilliantov; Amauri H. Souza; Vikas Garg 001 (NeurIPS, 2024)

In-n-Out: Calibrating Graph Neural Networks for Link Prediction. - Erik Nascimento; Diego Mesquita; Samuel Kaski; Amauri H. Souza (CoRR, 2024)

When do GFlowNets learn the right distribution? - Tiago da Silva; Rodrigo Barreto Alves; Eliezer de Souza da Silva; Amauri H. Souza; Vikas Garg 001; Samuel Kaski; Diego Mesquita (ICLR, 2025)

Generalization and Distributed Learning of GFlowNets. - Tiago Silva; Amauri H. Souza; Omar Rivasplata; Vikas Garg 001; Samuel Kaski; Diego Mesquita (ICLR, 2025)

Positional Encoding meets Persistent Homology on Graphs. - Yogesh Verma; Amauri H. Souza; Vikas Garg 001 (CoRR, 2025)

Graph Persistence goes Spectral. - Mattie Ji; Amauri H. Souza; Vikas Garg 001 (CoRR, 2025)

Cooperative Sheaf Neural Networks. - André Ribeiro; Ana Luiza Tenorio; Juan Belieni; Amauri H. Souza; Diego Mesquita (CoRR, 2025)