Leandro Miranda
Orcid: 0000-0002-1479-429X
According to our database1,
Leandro Miranda
authored at least 14 papers
between 2012 and 2023.
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Bibliography
2023
FGT-SAMK-NN: impact of the right to be forgotten using a lazy algorithm in data stream learning.
Proceedings of the 16th International Conference on Theory and Practice of Electronic Governance, 2023
2022
A framework for spatial regionalization composed of novel clustering-based algorithms under spatial contiguity constraints.
Trans. GIS, 2022
A survey on the use of machine learning methods in context-aware middlewares for human activity recognition.
Artif. Intell. Rev., 2022
'Right to Be Forgotten': Analyzing the Impact of Forgetting Data Using K-NN Algorithm in Data Stream Learning.
Proceedings of the Electronic Government - 21st IFIP WG 8.5 International Conference, 2022
2020
Impact of Memory Control on Batch Learning in Human Activity Recognition Scenario in Comparison to Data Stream Learning.
Proceedings of the Advances in Soft Computing, 2020
An Exploratory Study Using Stream Learning Algorithms to Predict Duration Time of Vehicle Routes.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020
Proceedings of the 26th Americas Conference on Information Systems, 2020
2019
Anomaly Detection in Vehicle Traffic Data Using Batch and Stream Supervised Learning.
Proceedings of the Progress in Artificial Intelligence, 2019
2017
Transparency in practice: using visualization to enhance the interpretability of open data.
Proceedings of the 18th Annual International Conference on Digital Government Research, 2017
RegK-Means: A Clustering Algorithm Using Spatial Contiguity Constraints for Regionalization Problems.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017
2014
Pattern Recognit. Lett., 2014
2012
Real-Time Gesture Recognition from Depth Data through Key Poses Learning and Decision Forests.
Proceedings of the 25th SIBGRAPI Conference on Graphics, Patterns and Images, 2012