| Simplifying graph convolutional networks F Wu, A Souza, T Zhang, C Fifty, T Yu, K Weinberger International conference on machine learning, 6861-6871, 2019 | 4100 | 2019 |
| Rethinking pooling in graph neural networks D Mesquita, AH Souza, S Kaski Advances in Neural Information Processing Systems (NeurIPS), 2020 | 144 | 2020 |
| Euclidean distance estimation in incomplete datasets DPP Mesquita, JPP Gomes, AHS Junior, JS Nobre Neurocomputing 248, 11-18, 2017 | 120 | 2017 |
| Minimal learning machine: A novel supervised distance-based approach for regression and classification AH de Souza Junior, F Corona, GA Barreto, Y Miche, A Lendasse Neurocomputing 164, 34-44, 2015 | 86 | 2015 |
| Provably expressive temporal graph networks AH Souza, D Mesquita, S Kaski, V Garg Advances in Neural Information Processing Systems (NeurIPS), 2022 | 79 | 2022 |
| Ensemble of efficient minimal learning machines for classification and regression DPP Mesquita, JPP Gomes, AH Souza Junior Neural Processing Letters 46, 751-766, 2017 | 38 | 2017 |
| A new approach to human activity recognition using machine learning techniques LB Marinho, AH de Souza Júnior, PP Rebouças Filho Intelligent Systems Design and Applications: 16th International Conference …, 2017 | 32 | 2017 |
| A novel mobile robot localization approach based on classification with rejection option using computer vision LB Marinho, PP Rebouças Filho, JS Almeida, JWM Souza, AHS Junior, ... Computers & Electrical Engineering 68, 26-43, 2018 | 29 | 2018 |
| Learning Robust Statistics for Simulation-based Inference under Model Misspecification D Huang, A Bharti, A Souza, L Acerbi, S Kaski Advances in Neural Information Processing Systems (NeurIPS), 2023 | 26 | 2023 |
| Minimal Learning Machine: Theoretical Results and Clustering-Based Reference Point Selection J Hämäläinen, ASC Alencar, T Kärkkäinen, CLC Mattos, AHS Júnior, ... Journal of Machine Learning Research, 2019 | 26 | 2019 |
| Minimal learning machine: A new distance-based method for supervised learning AH de Souza Júnior, F Corona, Y Miche, A Lendasse, GA Barreto, ... Advances in Computational Intelligence: 12th International Work-Conference …, 2013 | 26 | 2013 |
| Distill n'Explain: explaining graph neural networks using simple surrogates T Pereira, E Nasciment, LE Resck, D Mesquita, A Souza International Conference on Artificial Intelligence and Statistics (AISTATS), 2023 | 22 | 2023 |
| Gaussian kernels for incomplete data DPP Mesquita, JPP Gomes, F Corona, AHS Junior, JS Nobre Applied Soft Computing 77, 356-365, 2019 | 22 | 2019 |
| Regional models: A new approach for nonlinear system identification via clustering of the self-organizing map AHS Júnior, GA Barreto, F Corona Neurocomputing 147, 31-46, 2015 | 18 | 2015 |
| Ensemble of minimal learning machines for pattern classification DPP Mesquita, JPP Gomes, AHS Junior Advances in Computational Intelligence: 13th International Work-Conference …, 2015 | 17 | 2015 |
| Going beyond persistent homology using persistent homology JE Immonen, AH Souza, V Garg Advances in Neural Information Processing Systems (NeurIPS), 2023 | 16 | 2023 |
| Mlm-rank: A ranking algorithm based on the minimal learning machine ASC Alencar, WL Caldas, JPP Gomes, AH de Souza, PAC Aguilar, ... 2015 Brazilian Conference on Intelligent Systems (BRACIS), 305-309, 2015 | 14 | 2015 |
| A minimal learning machine for datasets with missing values DPP Mesquita, JPP Gomes, AHS Jr Neural Information Processing: 22nd International Conference, ICONIP 2015 …, 2015 | 13 | 2015 |
| Supervised distance preserving projections: applications in the quantitative analysis of diesel fuels and light cycle oils from NIR spectra F Corona, Z Zhu, AH de Souza Júnior, M Mulas, E Muru, L Sassu, ... Journal of Process Control 30, 10-21, 2015 | 12 | 2015 |
| A modified symbiotic organisms search algorithm applied to flow shop scheduling problems LR Rodrigues, JPP Gomes, ARR Neto, AH Souza 2018 IEEE Congress on Evolutionary Computation (CEC), 1-7, 2018 | 10 | 2018 |
Diego MesquitaGetulio Vargas Foundation確認したメール アドレス: fgv.br
