Amílcar Soares Júnior

30 papers B 2Journal 17Unranked 11

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Cross Language Soccer Framework: An Open Source Framework for the RoboCup 2D Soccer Simulation. CoRR Nader Zare, Aref Sayareh, Alireza Sadraii, Arad Firouzkouhi, Amílcar Soares Júnior
2024	J	`jnl`	ImPORTance - Machine Learning-Driven Analysis of Global Port Significance and Network Dynamics for Improved Operational Efficiency. CoRR Emanuele Carlini, Domenico Di Gangi, Vinicius Monteiro de Lira, Hanna Kavalionak, Gabriel Spadon, Amílcar Soares Júnior
2021	J	`jnl`	A Trajectory Scoring Tool for Local Anomaly Detection in Maritime Traffic Using Visual Analytics. ISPRS Int. J. Geo Inf. Fernando Henrique Oliveira Abreu, Amílcar Soares Júnior, Fernando V. Paulovich, Stan Matwin
2021	J	`jnl`	Aircraft Fuselage Corrosion Detection Using Artificial Intelligence. Sensors Bruno Brandoli, André R. de Geus, Jefferson R. Souza, Gabriel Spadon, Amílcar Soares Júnior, José F. Rodrigues Jr., Jerzy Komorowski, Stan Matwin
2021	J	`jnl`	Building navigation networks from multi-vessel trajectory data. GeoInformatica Iraklis Varlamis, Ioannis Kontopoulos, Konstantinos Tserpes, Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin
2021	J	`jnl`	SWS: an unsupervised trajectory segmentation algorithm based on change detection with interpolation kernels. GeoInformatica Mohammad Etemad, Amílcar Soares Júnior, Elham Etemad, Jordan Rose, Luís Torgo, Stan Matwin
2020	J	`jnl`	A Survey on Big Data for Trajectory Analytics. ISPRS Int. J. Geo Inf. Damião Ribeiro de Almeida, Cláudio de Souza Baptista, Fabio Gomes de Andrade, Amílcar Soares Júnior
2020	J	`jnl`	Analyzing the Impact of Foursquare and Streetlight Data with Human Demographics on Future Crime Prediction. CoRR Fateha Khanam Bappee, Lucas May Petry, Amílcar Soares Júnior, Stan Matwin
2020	—	`conf`	Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning. Canadian AI Lucas May Petry, Amílcar Soares Júnior, Vania Bogorny, Bruno Brandoli, Stan Matwin
2020	J	`jnl`	Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning. CoRR Lucas May Petry, Amílcar Soares Júnior, Vania Bogorny, Bruno Brandoli, Stan Matwin
2020	—	`conf`	Uncovering vessel movement patterns from AIS data with graph evolution analysis. EDBT/ICDT Workshops Emanuele Carlini, Vinicius Monteiro de Lira, Amílcar Soares Júnior, Mohammad Etemad, Bruno Brandoli Machado, Stan Matwin
2020	—	`conf`	Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments. Canadian AI Mohammad Etemad, Nader Zare, Mahtab Sarvmaili, Amílcar Soares Júnior, Bruno Brandoli Machado, Stan Matwin
2020	J	`jnl`	Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments. CoRR Mohammad Etemad, Nader Zare, Mahtab Sarvmaili, Amílcar Soares Júnior, Bruno Brandoli Machado, Stan Matwin
2020	—	`conf`	Wise Sliding Window Segmentation: A Classification-Aided Approach for Trajectory Segmentation. Canadian AI Mohammad Etemad, Zahra Etemad, Amílcar Soares Júnior, Vania Bogorny, Stan Matwin, Luís Torgo
2020	J	`jnl`	Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentation. CoRR Mohammad Etemad, Zahra Etemad, Amílcar Soares Júnior, Vania Bogorny, Stan Matwin, Luís Torgo
2019	—	`conf`	A Network Abstraction of Multi-vessel Trajectory Data for Detecting Anomalies. EDBT/ICDT Workshops Iraklis Varlamis, Konstantinos Tserpes, Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin
2019	—	`conf`	A Trajectory Segmentation Algorithm Based on Interpolation-based Change Detection Strategies. EDBT/ICDT Workshops Mohammad Etemad, Amílcar Soares Júnior, Arazoo Hoseyni, Jordan Rose, Stan Matwin
2019	—	`conf`	On Feature Selection and Evaluation of Transportation Mode Prediction Strategies. EDBT/ICDT Workshops Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin, Luís Torgo
2019	—	`conf`	Predicting Fishing Effort and Catch Using Semantic Trajectories and Machine Learning. MASTER@PKDD/ECML Pedram Adibi, Fabio Pranovi, Alessandra Raffaetà, Elisabetta Russo, Claudio Silvestri, Marta Simeoni, Amílcar Soares Júnior, Stan Matwin
2019	J	`jnl`	Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring. CoRR Lucas May Petry, Amílcar Soares Júnior, Vania Bogorny, Stan Matwin
2019	B	`conf`	VISTA: A visual analytics platform for semantic annotation of trajectories. EDBT Amílcar Soares Júnior, Jordan Rose, Mohammad Etemad, Chiara Renso, Stan Matwin
2018	B	`conf`	A Semi-Supervised Approach for the Semantic Segmentation of Trajectories. MDM Amílcar Soares Júnior, Valéria Cesário Times, Chiara Renso, Stan Matwin, Lucídio A. F. Cabral
2018	J	`jnl`	On feature selection and evaluation of transportation mode prediction strategies. CoRR Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin
2018	—	`conf`	Predicting Crime Using Spatial Features. Canadian AI Fateha Khanam Bappee, Amílcar Soares Júnior, Stan Matwin
2018	J	`jnl`	Predicting Crime Using Spatial Features. CoRR Fateha Khanam Bappee, Amílcar Soares Júnior, Stan Matwin
2018	—	`conf`	Predicting Transportation Modes of GPS Trajectories Using Feature Engineering and Noise Removal. Canadian AI Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin
2018	J	`jnl`	Predicting Transportation Modes of GPS Trajectories using Feature Engineering and Noise Removal. CoRR Mohammad Etemad, Amílcar Soares Júnior, Stan Matwin
2017	J	`jnl`	ANALYTiC: An Active Learning System for Trajectory Classification. IEEE Computer Graphics and Applications Amílcar Soares Júnior, Chiara Renso, Stan Matwin
2015	J	`jnl`	GRASP-UTS: an algorithm for unsupervised trajectory segmentation. Int. J. Geogr. Inf. Sci. Amílcar Soares Júnior, Bruno Neiva Moreno, Valéria Cesário Times, Stan Matwin, Lucídio dos Anjos Formiga Cabral
2014	—	`conf`	Weka-SAT: A Hierarchical Context-Based Inference Engine to Enrich Trajectories with Semantics. Canadian AI Bruno Moreno, Amílcar Soares Júnior, Valéria Cesário Times, Patrícia C. A. R. Tedesco, Stan Matwin