62 citations · 92 across the 8 of their papers we have counts for
8 papers
Cross Language Soccer Framework: An Open Source Framework for the RoboCup 2D Soccer Simulation
Nader Zare, Aref Sayareh, Alireza Sadraii +2
RoboCup Soccer Simulation 2D (SS2D) research is hampered by the complexity of existing Cpp-based codes like Helios, Cyrus, and Gliders, which also suffer from limited integration w…
Analyzing the Impact of Foursquare and Streetlight Data with Human Demographics on Future Crime Prediction
Fateha Khanam Bappee, Lucas May Petry, Amilcar Soares +1
Finding the factors contributing to criminal activities and their consequences is essential to improve quantitative crime research. To respond to this concern, we examine an extens…
Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning
Lucas May Petry, Amilcar Soares, Vania Bogorny +2
The global expansion of maritime activities and the development of the Automatic Identification System (AIS) have driven the advances in maritime monitoring systems in the last dec…
Wise Sliding Window Segmentation: A classification-aided approach for trajectory segmentation
Mohammad Etemad, Zahra Etemad, Amilcar Soares +3
Large amounts of mobility data are being generated from many different sources, and several data mining methods have been proposed for this data. One of the most critical steps for…
Unsupervised Behavior Change Detection in Multidimensional Data Streams for Maritime Traffic Monitoring
Lucas May Petry, Amilcar Soares, Vania Bogorny +1
The worldwide growth of maritime traffic and the development of the Automatic Identification System (AIS) has led to advances in monitoring systems for preventing vessel accidents…
On feature selection and evaluation of transportation mode prediction strategies
Mohammad Etemad, Amilcar Soares Junior, Stan Matwin
Transportation modes prediction is a fundamental task for decision making in smart cities and traffic management systems. Traffic policies designed based on trajectory mining can s…
Predicting Crime Using Spatial Features
Fateha Khanam Bappee, Amilcar Soares Junior, Stan Matwin
Our study aims to build a machine learning model for crime prediction using geospatial features for different categories of crime. The reverse geocoding technique is applied to ret…
Predicting Transportation Modes of GPS Trajectories using Feature Engineering and Noise Removal
Mohammad Etemad, Amilcar Soares Junior, Stan Matwin
Understanding transportation mode from GPS (Global Positioning System) traces is an essential topic in the data mobility domain. In this paper, a framework is proposed to predict t…