Towards semantic‐aware multiple‐aspect trajectory similarity measuring LM Petry, CA Ferrero, LO Alvares, C Renso, V Bogorny Transactions in GIS, 2019 | 57 | 2019 |
MARC: a robust method for multiple-aspect trajectory classification via space, time, and semantic embeddings L May Petry, C Leite Da Silva, A Esuli, C Renso, V Bogorny International Journal of Geographical Information Science 34 (7), 1428-1450, 2020 | 47 | 2020 |
A survey and comparison of trajectory classification methods CL da Silva, LM Petry, V Bogorny 2019 8th Brazilian conference on intelligent systems (BRACIS), 788-793, 2019 | 41 | 2019 |
Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning LM Petry, A Soares, V Bogorny, B Brandoli, S Matwin Advances in Artificial Intelligence: 33rd Canadian Conference on Artificial …, 2020 | 26 | 2020 |
MasterMovelets: discovering heterogeneous movelets for multiple aspect trajectory classification CA Ferrero, LM Petry, LO Alvares, CL da Silva, W Zalewski, V Bogorny Data Mining and Knowledge Discovery, 1-29, 2020 | 16 | 2020 |
Examining the impact of cross-domain learning on crime prediction FK Bappee, A Soares, LM Petry, S Matwin Journal of big data 8 (1), 96, 2021 | 10 | 2021 |
Analyzing the impact of foursquare and streetlight data with human demographics on future crime prediction FK Bappee, LM Petry, A Soares, S Matwin arXiv preprint arXiv:2006.07516, 2020 | 9 | 2020 |
Exploring frequency-based approaches for efficient trajectory classification F Vicenzi, LM Petry, CL Silva, LO Alvares, V Bogorny Proceedings of the 35th Annual ACM Symposium on Applied Computing, 624-631, 2020 | 7 | 2020 |
Traj2user: exploiting embeddings for computing similarity of users mobile behavior A Esuli, LM Petry, C Renso, V Bogorny arXiv preprint arXiv:1808.00554, 2018 | 7 | 2018 |
Unsupervised behavior change detection in multidimensional data streams for maritime traffic monitoring LM Petry, A Soares, V Bogorny, S Matwin arXiv preprint arXiv:1908.05103, 2019 | 4 | 2019 |
Discovering heterogeneous subsequences for trajectory classification CA Ferrero, LM Petry, LO Alvares, W Zalewski, V Bogorny arXiv preprint arXiv:1903.07722, 2019 | 4 | 2019 |
Analyzing the impact of foursquare and streetlight data with human demographics on future crime prediction FK Bappee, LM Petry, A Soares, S Matwin Advances in Data Science and Information Engineering: Proceedings from …, 2021 | 3 | 2021 |
Learn faster and forget slower via fast and stable task adaptation F Varno, LM Petry, L Di Jorio, S Matwin arXiv preprint arXiv:2007.01388, 2020 | 1 | 2020 |
Mining Journals to the Ground: An Exploratory Analysis of Newspaper Articles. CL da Silva, LM Petry, VMCT de Freitas, CF Dorneles BRACIS, 78-83, 2019 | 1 | 2019 |
A recurrent neural network approach for multiple-aspect trajectory classification via space, time, and semantic embeddings LM Petry | | 2020 |
Discovering Heterogeneous Subsequences for Trajectory Classification C Andres Ferrero, LM Petry, L Otavio Alvares, W Zalewski, V Bogorny arXiv e-prints, arXiv: 1903.07722, 2019 | | 2019 |
Multiple-Aspect Trajectory Similarity Measuring L May Petry Florianópolis, SC., 2017 | | 2017 |