Diego Mesquita
Orcid: 0000-0002-9061-7041Affiliations:
- Getulio Vargas Foundation (FGV), EMAp, Rio de Janeiro, RJ, Brazil
- Aalto University, Espoo, Finland (PhD 2021)
According to our database1,
Diego Mesquita
authored at least 43 papers
between 2015 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on twitter.com
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on orcid.org
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on emap.fgv.br
On csauthors.net:
Bibliography
2024
Towards automatic labeling of exception handling bugs: A case study of 10 years bug-fixing in Apache Hadoop.
Empir. Softw. Eng., July, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Intelligent Systems - 34th Brazilian Conference, 2024
2023
Human-in-the-Loop Causal Discovery under Latent Confounding using Ancestral GFlowNets.
CoRR, 2023
Locking and Quacking: Stacking Bayesian model predictions by log-pooling and superposition.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the ESEM '22: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Helsinki, Finland, September 19, 2022
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
PhD thesis, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Neural Process. Lett., 2019
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
2018
Fast Co-MLM: An Efficient Semi-supervised Co-training Method Based on the Minimal Learning Machine.
New Gener. Comput., 2018
Building selective ensembles of Randomization Based Neural Networks with the successive projections algorithm.
Appl. Soft Comput., 2018
2017
Neural Process. Lett., 2017
Proceedings of the Advances in Computational Intelligence, 2017
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
2016
Appl. Soft Comput., 2016
Proceedings of the Intelligent Systems Design and Applications, 2016
Using Robust Extreme Learning Machines to Predict Cotton Yarn Strength and Hairiness.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
K-means for Datasets with Missing Attributes: Building Soft Constraints with Observed and Imputed Values.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
Extreme Learning Machines for Datasets with Missing Values Using the Unscented Transform.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016
2015
Proceedings of the Advances in Computational Intelligence, 2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015