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ORCIDAmauri H. Souza
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2020 – today
- 2024
[c32]Rafal Karczewski, Amauri H. Souza, Vikas Garg:
On the Generalization of Equivariant Graph Neural Networks. ICML 2024- [c31]Tiago da Silva, Luiz Max Carvalho, Amauri H. Souza, Samuel Kaski, Diego Mesquita:
Embarrassingly Parallel GFlowNets. ICML 2024 - [c30]Yogesh Verma, Amauri H. Souza, Vikas Garg:
Topological Neural Networks go Persistent, Equivariant, and Continuous. ICML 2024 - [i11]Erik Nascimento, Diego Mesquita, Samuel Kaski, Amauri H. Souza:
In-n-Out: Calibrating Graph Neural Networks for Link Prediction. CoRR abs/2403.04605 (2024) - [i10]Yogesh Verma, Amauri H. Souza, Vikas Garg:
Topological Neural Networks go Persistent, Equivariant, and Continuous. CoRR abs/2406.03164 (2024) - [i9]Tiago da Silva, Luiz Max Carvalho
, Amauri H. Souza, Samuel Kaski, Diego Mesquita:
Embarrassingly Parallel GFlowNets. CoRR abs/2406.03288 (2024) - 2023
- [c29]Tamara A. Pereira, Erik Nascimento, Lucas E. Resck, Diego Mesquita, Amauri H. Souza:
Distill n' Explain: explaining graph neural networks using simple surrogates. AISTATS 2023: 6199-6214 - [c28]Daolang Huang, Ayush Bharti, Amauri H. Souza, Luigi Acerbi, Samuel Kaski:
Learning Robust Statistics for Simulation-based Inference under Model Misspecification. NeurIPS 2023 - [c27]Johanna Immonen, Amauri H. Souza, Vikas Garg:
Going beyond persistent homology using persistent homology. NeurIPS 2023 - [i8]Tamara A. Pereira, Erik Nascimento, Lucas E. Resck, Diego Mesquita, Amauri H. Souza:
Distill n' Explain: explaining graph neural networks using simple surrogates. CoRR abs/2303.10139 (2023) - [i7]Joonas Hämäläinen, Amauri H. de Souza, César L. C. Mattos, João P. P. Gomes, Tommi Kärkkäinen:
Minimal Learning Machine for Multi-Label Learning. CoRR abs/2305.05518 (2023) - [i6]Daolang Huang, Ayush Bharti, Amauri H. Souza, Luigi Acerbi, Samuel Kaski:
Learning Robust Statistics for Simulation-based Inference under Model Misspecification. CoRR abs/2305.15871 (2023) - [i5]Johanna Immonen, Amauri H. Souza, Vikas Garg:
Going beyond persistent homology using persistent homology. CoRR abs/2311.06152 (2023) - 2022
- [j7]Rômulo B. P. Drumond, Renan F. Albuquerque, Guilherme A. Barreto, Amauri H. Souza:
Pattern classification based on regional models. Appl. Soft Comput. 129: 109592 (2022) - [c26]Tamara A. Pereira, Erik Jhones F. do Nascimento, Diego Mesquita, Amauri H. Souza:
ConveXplainer for Graph Neural Networks. BRACIS (2) 2022: 588-600 - [c25]Amauri H. Souza, Diego Mesquita, Samuel Kaski, Vikas Garg:
Provably expressive temporal graph networks. NeurIPS 2022 - [i4]Amauri H. Souza, Diego Mesquita, Samuel Kaski, Vikas Garg:
Provably expressive temporal graph networks. CoRR abs/2209.15059 (2022) - 2021
- [c24]Erik Jhones F. do Nascimento, Amauri H. Souza, Diego Mesquita:
Improving Graph Variational Autoencoders with Multi-Hop Simple Convolutions. ESANN 2021 - [c23]Erik Jhones F. do Nascimento, Tassiana M. Castro, Ana Carolina S. Abreu, Filipe A. Lira, Amauri H. Souza:
Procedural Generation of Isometric Racetracks Using Chain Code for Racing Games. SBGames 2021: 136-143 - 2020
- [c22]Diego P. P. Mesquita, Amauri H. Souza Jr., Samuel Kaski:
Rethinking pooling in graph neural networks. NeurIPS 2020 - [i3]Diego P. P. Mesquita, Amauri H. Souza Jr., Samuel Kaski:
Rethinking pooling in graph neural networks. CoRR abs/2010.11418 (2020)
2010 – 2019
- 2019
- [j6]Diego P. P. Mesquita, João P. P. Gomes, Francesco Corona, Amauri Holanda de Souza Júnior, Juvêncio S. Nobre:
Gaussian kernels for incomplete data. Appl. Soft Comput. 77: 356-365 (2019) - [c21]Daniel Jean Rodrigues Vasconcelos, Amauri Holanda de Souza Júnior, Francesco Corona:
Probabilistic Multilateration: Model and Inference. BRACIS 2019: 675-680 - [c20]Paulo Mateus Moura da Silva, César Lincoln Cavalcante Mattos, Amauri Holanda de Souza Júnior:
Audio Plugin Recommendation Systems for Music Production. BRACIS 2019: 854-859 - [c19]Felix Wu, Amauri H. Souza Jr., Tianyi Zhang, Christopher Fifty, Tao Yu, Kilian Q. Weinberger:
Simplifying Graph Convolutional Networks. ICML 2019: 6861-6871 - [c18]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:
A Novel Recommendation System for Next Feature in Software. IDEAL (1) 2019: 494-501 - [i2]Felix Wu, Tianyi Zhang, Amauri H. Souza Jr., Christopher Fifty, Tao Yu, Kilian Q. Weinberger:
Simplifying Graph Convolutional Networks. CoRR abs/1902.07153 (2019) - [i1]Joonas Hämäläinen, Alisson S. C. Alencar, Tommi Kärkkäinen, César L. C. Mattos, Amauri H. Souza Júnior, João P. P. Gomes:
Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection. CoRR abs/1909.09978 (2019) - 2018
- [j5]Leandro Bezerra Marinho, Pedro Pedrosa Rebouças Filho, Jefferson S. Almeida, João Wellington M. Souza, Amauri Holanda de Souza Júnior, Victor Hugo C. de Albuquerque:
A novel mobile robot localization approach based on classification with rejection option using computer vision. Comput. Electr. Eng. 68: 26-43 (2018) - [c17]Madson Luiz Dantas Dias, Ananda L. Freire, Amauri H. Souza Júnior, Ajalmar R. da Rocha Neto, João Paulo Pordeus Gomes:
Sparse Minimal Learning Machines Via L_1/2 Norm Regularization. BRACIS 2018: 206-211 - [c16]Leonardo Ramos Rodrigues, João Paulo Pordeus Gomes, Ajalmar R. da Rocha Neto, Amauri H. de Souza:
A Modified Symbiotic Organisms Search Algorithm Applied to Flow Shop Scheduling Problems. CEC 2018: 1-7 - [c15]Madson Luiz Dantas Dias, Lucas Silva de Sousa, Ajalmar R. da Rocha Neto, Amauri H. Souza Júnior:
Opposite neighborhood: a new method to select reference points of minimal learning machines. ESANN 2018 - [c14]José A. V. Florêncio, Madson Luiz Dantas Dias, Ajalmar R. da Rocha Neto, Amauri Holanda de Souza Júnior:
A Fuzzy C-means-based Approach for Selecting Reference Points in Minimal Learning Machines. NAFIPS 2018: 398-407 - 2017
- [j4]Diego Parente Paiva Mesquita, João P. P. Gomes, Amauri Holanda Souza Júnior, Juvêncio Santos Nobre:
Euclidean distance estimation in incomplete datasets. Neurocomputing 248: 11-18 (2017) - [j3]Diego P. P. Mesquita, João P. P. Gomes, Amauri Holanda de Souza Júnior:
Ensemble of Efficient Minimal Learning Machines for Classification and Regression. Neural Process. Lett. 46(3): 751-766 (2017) - [c13]João P. P. Gomes, Diego P. P. Mesquita, Ananda Freire, Amauri H. Souza Júnior, Tommi Kärkkäinen:
A Robust Minimal Learning Machine based on the M-Estimator. ESANN 2017 - [c12]Marcelo B. A. Veras, Diego P. P. Mesquita, João P. P. Gomes, Amauri H. Souza Júnior, Guilherme A. Barreto:
Forward Stagewise Regression on Incomplete Datasets. IWANN (1) 2017: 386-395 - 2016
- [c11]Adonias C. de Oliveira, João Paulo Pordeus Gomes, Ajalmar R. da Rocha Neto, Amauri H. de Souza:
Efficient Minimal Learning Machines with Reject Option. BRACIS 2016: 397-402 - [c10]Leandro Bezerra Marinho, Amauri Holanda de Souza Júnior, Pedro Pedrosa Rebouças Filho:
A New Approach to Human Activity Recognition Using Machine Learning Techniques. ISDA 2016: 529-538 - 2015
- [j2]Amauri H. Souza Júnior, Guilherme De A. Barreto, Francesco Corona:
Regional models: A new approach for nonlinear system identification via clustering of the self-organizing map. Neurocomputing 147: 31-46 (2015) - [j1]Amauri Holanda de Souza Júnior, Francesco Corona, Guilherme De A. Barreto, Yoan Miché, Amaury Lendasse:
Minimal Learning Machine: A novel supervised distance-based approach for regression and classification. Neurocomputing 164: 34-44 (2015) - [c9]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:
MLM-rank: A Ranking Algorithm Based on the Minimal Learning Machine. BRACIS 2015: 305-309 - [c8]João Paulo Pordeus Gomes, Amauri H. Souza Jr., Francesco Corona, Ajalmar R. da Rocha Neto:
A Cost Sensitive Minimal Learning Machine for Pattern Classification. ICONIP (1) 2015: 557-564 - [c7]Diego Parente Paiva Mesquita, João Paulo Pordeus Gomes, Amauri H. Souza Jr.:
A Minimal Learning Machine for Datasets with Missing Values. ICONIP (1) 2015: 565-572 - [c6]Diego Parente Paiva Mesquita, João Paulo Pordeus Gomes, Amauri Holanda Souza Júnior:
Ensemble of Minimal Learning Machines for Pattern Classification. IWANN (2) 2015: 142-152 - 2014
- [c5]Renato Lenz Costalima, Amauri Holanda Souza Júnior, Cidcley Teixeira de Souza, Gustavo Augusto Lima de Campos:
MInD: Don't Use Agents as Objects. AGI 2014: 234-237 - [c4]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:
Regularized Supervised Distance Preserving Projections for Short-Text Classification. BRACIS 2014: 216-221 - 2013
- [c3]Amauri Holanda de Souza Júnior, Francesco Corona, Yoan Miche, Amaury Lendasse, Guilherme A. Barreto, Olli Simula:
Minimal Learning Machine: A New Distance-Based Method for Supervised Learning. IWANN (1) 2013: 408-416 - 2012
- [c2]Amauri Holanda de Souza Júnior, Guilherme De A. Barreto:
Regional Models for Nonlinear System Identification Using the Self-Organizing Map. IDEAL 2012: 717-724 - [c1]Amauri Holanda de Souza Júnior, Francesco Corona, Guilherme A. Barreto:
Robust Regional Modeling for Nonlinear System Identification Using Self-Organizing Maps. WSOM 2012: 215-224
Coauthor Index
aka: João P. P. Gomes
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