Research output per year
Research output per year
- 13 results
Search results
-
2023
Distill n' Explain: explaining graph neural networks using simple surrogates
Pereira, T., Nascimento, E., Resck, L. E., Mesquita, D. & Souza, A., 2023, Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS) 2023. Ruiz, F., Dy, J. & van de Meent, J-W. (eds.). JMLR, p. 6199-6214 16 p. (Proceedings of Machine Learning Research; vol. 206).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile6 Downloads (Pure) -
Learning Robust Statistics for Simulation-based Inference under Model Misspecification
Huang, D., Bharti, A., Holanda De Souza Junior, A., Acerbi, L. & Kaski, S., 24 Sept 2023, (Accepted/In press). 22 p.Research output: Contribution to conference › Paper › Scientific › peer-review
Open Access -
2022
Provably expressive temporal graph networks
Souza, A. H., Mesquita, D., Kaski, S. & Garg, V., 2022, Advances in Neural Information Processing Systems 35 (NeurIPS 2022). Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Morgan Kaufmann Publishers, 13 p. (Advances in Neural Information Processing Systems; vol. 35).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access -
2021
Improving Graph Variational Autoencoders with Multi-Hop Simple Convolutions
do Nascimento, E. J. F., Souza, A. H. & Mesquita, D., 2021, ESANN 2021 Proceedings - 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com, p. 105-110 6 p. (ESANN 2021 Proceedings - 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
1 Citation (Scopus) -
2020
Rethinking pooling in graph neural networks
Mesquita, D., Souza, A. & Kaski, S., 2020, Advances in Neural Information Processing Systems 33 pre-proceedings (NeurIPS 2020). Morgan Kaufmann Publishers, (Advances in neural information processing systems; vol. 33).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile45 Downloads (Pure) -
2019
Gaussian kernels for incomplete data
Mesquita, D. P. P., Gomes, J. P. P., Corona, F., Souza Junior, A. H. & Nobre, J. S., 1 Apr 2019, In: Applied Soft Computing Journal. 77, p. 356-365 10 p.Research output: Contribution to journal › Article › Scientific › peer-review
10 Citations (Scopus) -
2015
Minimal Learning Machine: A novel supervised distance-based approach for regression and classification
de Souza Junior, A. H., Corona, F., Barreto, G. A., Miche, Y. & Lendasse, A., 2015, In: Neurocomputing. 164, p. 3444Research output: Contribution to journal › Article › Scientific › peer-review
59 Citations (Scopus) -
Regional models: A new approach for nonlinear system identification via clustering of the self-organizing map
Souza Junior, A. H., Barreto, G. A. & Corona, F., 2015, In: Neurocomputing. 147, p. 31-46Research output: Contribution to journal › Article › Scientific › peer-review
7 Citations (Scopus) -
Supervised Distance Preserving Projections: Applications in the quantitative analysis of diesel fuels and light cycle oils from NIR spectra
Corona, F., Zhu, Z., de Souza Junior, A. H., Mulas, M., Muru, E., Sassu, L., Barreto, G. & Baratti, R., 2015, In: Journal of Process Control. 30, p. 10-21Research output: Contribution to journal › Article › Scientific › peer-review
8 Citations (Scopus) -
2013
Extending the Minimal Learning Machine for Patter Classification
de Souza Júnior, A. H., Corona, F., Miché, Y., Lendasse, A. & Barreto, G., 2013, BRICS-CCI 2013 First BRICS Countries Congress on Computational Intelligence.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
1 Citation (Scopus) -
Minimal Learning Machine: A new distance-based method for supervised learning
de Souza Júnior, A. H., Corona, F., Miché, Y., Lendasse, A., Barreto, G. & Simula, O., 2013, 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12-14, 2013,. Springer Gabler , p. 408-415Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
18 Citations (Scopus) -
Robust regional modeling for nonlinear system identification using self-organizing maps
de Souza Júnior, A. H., Corona, F. & Barreto, G., 2013, The 9th International Workshop, WSOM 2012 Santiago, Chile, December 12-14, 2012. F. Sandobal, A. P. & Grana, M. (eds.). Springer Gabler , p. 215-224Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
3 Citations (Scopus) -
Spectroscopic monitoring of diesel fuels using the Supervised Distance Preserving Projection
Corona, F., Zhu, Z., Holanda de Souza Junior, A., Mulas, M. & Baratti, R., 2013, IFAC-DYCOPS 2013 Tenth International Symposium on Dynamics and Control of Process Systems, Mumbai (India), 18-20 December 2013. International Federation of Automatic Control (IFAC), p. 6Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
3 Citations (Scopus)