Amílcar Soares Júnior

Publication Activity (10 Years)

Years Active: 2014-2021
Publications (10 Years): 26

Top Topics

Machine Learning

Segmentation Algorithm

Trajectory Data

Top Venues

Canadian Conference on AI

EDBT/ICDT Workshops

Publications

Bruno Brandoli, André R. de Geus, Jefferson R. Souza, Gabriel Spadon, Amílcar Soares Júnior, José F. Rodrigues Jr., Jerzy Komorowski, Stan Matwin
Aircraft Fuselage Corrosion Detection Using Artificial Intelligence. Sensors 21 (12) (2021)
Mohammad Etemad, Amílcar Soares Júnior, Elham Etemad, Jordan Rose, Luís Torgo, Stan Matwin
SWS: an unsupervised trajectory segmentation algorithm based on change detection with interpolation kernels. GeoInformatica 25 (2) (2021)
Fernando Henrique Oliveira Abreu, Amílcar Soares Júnior, Fernando V. Paulovich, Stan Matwin
A Trajectory Scoring Tool for Local Anomaly Detection in Maritime Traffic Using Visual Analytics. ISPRS Int. J. Geo Inf. 10 (6) (2021)
Iraklis Varlamis, Ioannis Kontopoulos, Konstantinos Tserpes, Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin
Building navigation networks from multi-vessel trajectory data. GeoInformatica 25 (1) (2021)
Mohammad Etemad, Nader Zare, Mahtab Sarvmaili, Amílcar Soares Júnior, Bruno Brandoli Machado, Stan Matwin
Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments. CoRR (2020)
Emanuele Carlini, Vinicius Monteiro de Lira, Amílcar Soares Júnior, Mohammad Etemad, Bruno Brandoli Machado, Stan Matwin
Uncovering vessel movement patterns from AIS data with graph evolution analysis. EDBT/ICDT Workshops (2020)
Lucas May Petry, Amílcar Soares Júnior, Vania Bogorny, Bruno Brandoli, Stan Matwin
Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning. CoRR (2020)
Damiao Ribeiro de Almeida, Cláudio de Souza Baptista, Fabio Gomes de Andrade, Amílcar Soares Júnior
A Survey on Big Data for Trajectory Analytics. ISPRS Int. J. Geo Inf. 9 (2) (2020)
Fateha Khanam Bappee, Lucas May Petry, Amílcar Soares Júnior, Stan Matwin
Analyzing the Impact of Foursquare and Streetlight Data with Human Demographics on Future Crime Prediction. CoRR (2020)
Lucas May Petry, Amílcar Soares Júnior, Vania Bogorny, Bruno Brandoli, Stan Matwin
Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning. Canadian Conference on AI (2020)
Mohammad Etemad, Zahra Etemad, Amílcar Soares Júnior, Vania Bogorny, Stan Matwin, Luís Torgo
Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentation. CoRR (2020)
Mohammad Etemad, Nader Zare, Mahtab Sarvmaili, Amílcar Soares Júnior, Bruno Brandoli Machado, Stan Matwin
Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments. Canadian Conference on AI (2020)
Mohammad Etemad, Zahra Etemad, Amílcar Soares Júnior, Vania Bogorny, Stan Matwin, Luís Torgo
Wise Sliding Window Segmentation: A Classification-Aided Approach for Trajectory Segmentation. Canadian Conference on AI (2020)
Pedram Adibi, Fabio Pranovi, Alessandra Raffaetà, Elisabetta Russo, Claudio Silvestri, Marta Simeoni, Amílcar Soares Júnior, Stan Matwin
Predicting Fishing Effort and Catch Using Semantic Trajectories and Machine Learning. MASTER@PKDD/ECML (2019)
Lucas May Petry, Amílcar Soares Júnior, Vania Bogorny, Stan Matwin
Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring. CoRR (2019)
Amílcar Soares Júnior, Jordan Rose, Mohammad Etemad, Chiara Renso, Stan Matwin
VISTA: A visual analytics platform for semantic annotation of trajectories. EDBT (2019)
Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin, Luís Torgo
On Feature Selection and Evaluation of Transportation Mode Prediction Strategies. EDBT/ICDT Workshops (2019)
Iraklis Varlamis, Konstantinos Tserpes, Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin
A Network Abstraction of Multi-vessel Trajectory Data for Detecting Anomalies. EDBT/ICDT Workshops (2019)
Mohammad Etemad, Amílcar Soares Júnior, Arazoo Hoseyni, Jordan Rose, Stan Matwin
A Trajectory Segmentation Algorithm Based on Interpolation-based Change Detection Strategies. EDBT/ICDT Workshops (2019)
Fateha Khanam Bappee, Amílcar Soares Júnior, Stan Matwin
Predicting Crime Using Spatial Features. CoRR (2018)
Amílcar Soares Júnior, Valéria Cesário Times, Chiara Renso, Stan Matwin, Lucídio A. F. Cabral
A Semi-Supervised Approach for the Semantic Segmentation of Trajectories. MDM (2018)
Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin
Predicting Transportation Modes of GPS Trajectories using Feature Engineering and Noise Removal. CoRR (2018)
Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin
On feature selection and evaluation of transportation mode prediction strategies. CoRR (2018)
Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin
Predicting Transportation Modes of GPS Trajectories Using Feature Engineering and Noise Removal. Canadian Conference on AI (2018)
Fateha Khanam Bappee, Amílcar Soares Júnior, Stan Matwin
Predicting Crime Using Spatial Features. Canadian Conference on AI (2018)
Amílcar Soares Júnior, Chiara Renso, Stan Matwin
ANALYTiC: An Active Learning System for Trajectory Classification. IEEE Computer Graphics and Applications 37 (5) (2017)
Amílcar Soares Júnior, Bruno Neiva Moreno, Valéria Cesário Times, Stan Matwin, Lucídio dos Anjos Formiga Cabral
GRASP-UTS: an algorithm for unsupervised trajectory segmentation. Int. J. Geogr. Inf. Sci. 29 (1) (2015)
Bruno Moreno, Amílcar Soares Júnior, Valéria Cesário Times, Patrícia C. A. R. Tedesco, Stan Matwin
Weka-SAT: A Hierarchical Context-Based Inference Engine to Enrich Trajectories with Semantics. Canadian Conference on AI (2014)