Amilcar Soares
Cited by
Cited by
Predicting Transportation Modes of GPS Trajectories using Feature Engineering and Noise Removal
M Etemad, AS Junior, S Matwin
Advances in Artificial Intelligence: 31st Canadian Conference on Artificial …, 2018
GRASP-UTS: an algorithm for unsupervised trajectory segmentation
A Soares Júnior, BN Moreno, VC Times, S Matwin, LAF Cabral
International Journal of Geographical Information Science 29 (1), 46-68, 2015
Analytic: An active learning system for trajectory classification
AS Júnior, C Renso, S Matwin
IEEE computer graphics and applications 37 (5), 28-39, 2017
A semi-supervised approach for the semantic segmentation of trajectories
AS Júnior, V Times, C Renso, S Matwin, LAF Cabral
19th IEEE International Conference on Mobile Data Management At: Aalborg …, 2018
A network abstraction of multi-vessel trajectory data for detecting anomalies
I Varlamis, K Tserpes, M Etemad, AS Júnior, S Matwin
EDBT/ICDT Workshops 2019, 2019
Predicting Crime Using Spatial Features
FK Bappee, AS Junior, S Matwin
Advances in Artificial Intelligence: 31st Canadian Conference on Artificial …, 2018
Semantic Integration of Real-Time Heterogeneous Data Streams for Ocean-related Decision Making
R Dividino, A Soares, S Matwin, AW Isenor, S Webb, M Brousseau
Big Data and Artificial Intelligence for Military Decision Making, 2018
A Trajectory Segmentation Algorithm Based on Interpolation-based Change Detection Strategies
M Etemad, A Soares, A Hoseyni, J Rose, S Matwin
EDBT/ICDT Workshops 2019, 2019
Application of a particle swarm optimization to the tank model
CAG Santos, P Freire, SK Mishra, A Soares Júnior
IAHS Publ 347, 114-120, 2011
VISTA: A visual analytics platform for semantic annotation of trajectories
A Soares, J Rose, M Etemad, C Renso, S Matwin
Proceedings of the 22nd International Conference on Extending Database …, 2019
Weka-SAT: A hierarchical context-based inference engine to enrich trajectories with semantics
B Moreno, AS Júnior, V Times, P Tedesco, S Matwin
Canadian Conference on Artificial Intelligence, 333-338, 2014
Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments
M Etemad, N Zare, M Sarvmaili, A Soares, BB Machado, S Matwin
Advances in Artificial Intelligence: 33rd Canadian Conference on Artificial …, 2020
CRISIS: Integrating AIS and Ocean Data Streams Using Semantic Web Standards for Event Detection
A Soares, R Dividino, F Abreu, M Brousseau, AW Isenor, S Webb, ...
International Conference on Military Communications and Information Systems …, 2019
An XML-based Genetic Algorithm for Nonlinear Optimization Problems
A Soares Junior, CAS Farias, CAG Santos, K Suzuki
15th JSCE Congress-Shikoku Division, Matsuyama-Japan 2, 117-118, 2009
Uncovering vessel movement patterns from AIS data with graph evolution analysis
E Carlini, VM de Lira, A Soares, M Etemad, BB Machado, S Matwin
On feature selection and evaluation of transportation mode prediction strategies
M Etemad, A Soares, S Matwin, L Torgo
EDBT/ICDT Workshops 2019, 2019
Application of an XML-based genetic algorithm to a rainfall–runoff erosion model
IAHS-AISH Publication 337, 366-374, 2010
Implementação de um Sistema de Informação para Tratamento dos Dados do BEER
BN Moreno, AS Júnior, C das Neves Almeida, AP de Silans
Revista Tecnologia 30 (1), 27-37, 2009
Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentation
M Etemad, Z Etemad, A Soares, V Bogorny, S Matwin, L Torgo
Advances in Artificial Intelligence: 33rd Canadian Conference on Artificial …, 2020
Predicting Fishing Effort and Catch Using Semantic Trajectories and Machine Learning
P Adibi, F Pranovi, A Raffaetà, E Russo, C Silvestri, M Simeoni, A Soares, ...
ECML/PKDD Workshops, 2019
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