| Real-time gesture recognition from depth data through key poses learning and decision forests L Miranda, T Vieira, D Martinez, T Lewiner, AW Vieira, MFM Campos 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images, 268-275, 2012 | 121 | 2012 |
| Online gesture recognition from pose kernel learning and decision forests L Miranda, T Vieira, D Martínez, T Lewiner, AW Vieira, MFM Campos Pattern Recognition Letters 39, 65-73, 2014 | 70 | 2014 |
| Transparency in practice: using visualization to enhance the interpretability of open data R Barcellos, J Viterbo, L Miranda, F Bernardini, C Maciel, D Trevisan Proceedings of the 18th Annual International Conference on Digital …, 2017 | 46 | 2017 |
| A survey on the use of machine learning methods in context-aware middlewares for human activity recognition L Miranda, J Viterbo, F Bernardini Artificial Intelligence Review, 1-32, 2022 | 37 | 2022 |
| A Methodology for Taxi Demand Prediction Using Stream Learning D Faial, F Bernardini, EM Meza, L Miranda, J Viterbo 2020 International Conference on Systems, Signals and Image Processing …, 2020 | 9 | 2020 |
| Regk-means: A clustering algorithm using spatial contiguity constraints for regionalization problems L Miranda, J Viterbo Filho, FC Bernardini 2017 Brazilian Conference on Intelligent Systems (BRACIS), 31-36, 2017 | 7 | 2017 |
| Anomaly Detection in Vehicle Traffic Data Using Batch and Stream Supervised Learning D Faial, F Bernardini, L Miranda, J Viterbo EPIA Conference on Artificial Intelligence, 675-684, 2019 | 6 | 2019 |
| ‘Right to Be Forgotten’: Analyzing the Impact of Forgetting Data Using K-NN Algorithm in Data Stream Learning C Libera, L Miranda, F Bernardini, S Mastelini, J Viterbo International Conference on Electronic Government, 530-542, 2022 | 4 | 2022 |
| A framework for spatial regionalization composed of novel clustering‐based algorithms under spatial contiguity constraints L Miranda, J Viterbo, F Bernardini Transactions in GIS 26 (4), 1775-1800, 2022 | 4 | 2022 |
| An Exploratory Study Using Stream Learning Algorithms to Predict Duration Time of Vehicle Routes A de Sousa Pinto, F Bernardini, L Miranda, J Viterbo, EM Meza 2020 International Conference on Systems, Signals and Image Processing …, 2020 | 2 | 2020 |
| Impact of Memory Control on Batch Learning in Human Activity Recognition Scenario in Comparison to Data Stream Learning L Miranda, J Viterbo, F Bernardini Mexican International Conference on Artificial Intelligence, 145-157, 2020 | 1 | 2020 |
| Energy Consumption Prediction using Data Stream Learning for Commercial Buildings LFO Fernandes, F Bernardini, EM Meza, L Miranda, J Viterbo 2020 International Conference on Systems, Signals and Image Processing …, 2020 | 1 | 2020 |
| Towards the Use of Clustering Algorithms in Recommender Systems. L Miranda, J Viterbo, F Bernardini AMCIS, 2020 | 1 | 2020 |
| FGT-SAMK-NN: impact of the right to be forgotten using a lazy algorithm in data stream learning E Peniche, L Miranda, F Bernardini, J Viterbo Proceedings of the 16th International Conference on Theory and Practice of …, 2023 | | 2023 |
| Educational Data Mining to Forecast Essay Score. A Case Study About ENEM RB Lopes, LP Vasconcelos, IGB Sampaio, L Miranda, J Viterbo, ... International Conference on Information Technology & Systems, 133-143, 2023 | | 2023 |
| Análise de Clusters com Restrições de Contiguidade Espacial LBA DE MIRANDA | | |
| Uso de técnicas de visualizaç ao no apoioa análise de dados urbanos para a melhoria da transparência publica L Miranda, J Viterbo, F Bernardini, C Maciel, R Barcellos, D Trevisan | | |
