79 citations · 603 across the 47 of their papers we have counts for
7 papers · 1 filter
Engineering Features to Improve Pass Prediction in Soccer Simulation 2D Games
Nader Zare, Mahtab Sarvmaili, Aref Sayareh +2
Soccer Simulation 2D (SS2D) is a simulation of a real soccer game in two dimensions. In soccer, passing behavior is an essential action for keeping the ball in possession of our te…
Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2023
Aref Sayareh, Nader Zare, Omid Amini +3
The RoboCup competitions hold various leagues, and the Soccer Simulation 2D League is a major one among them. Soccer Simulation 2D (SS2D) match involves two teams, including 11 pla…
CYRUS Soccer Simulation 2D Team Description Paper 2022
Nader Zare, Arad Firouzkouhi, Omid Amini +5
Soccer Simulation 2D League is one of the major leagues of RoboCup competitions. In a Soccer Simulation 2D (SS2D) game, two teams of 11 players and one coach compete against each o…
Continuous Control with Deep Reinforcement Learning for Autonomous Vessels
Nader Zare, Bruno Brandoli, Mahtab Sarvmaili +2
Maritime autonomous transportation has played a crucial role in the globalization of the world economy. Deep Reinforcement Learning (DRL) has been applied to automatic path plannin…
Artificial Intelligence for Emotion-Semantic Trending and People Emotion Detection During COVID-19 Social Isolation
Hamed Jelodar, Rita Orji, Stan Matwin +3
Taking advantage of social media platforms, such as Twitter, this paper provides an effective framework for emotion detection among those who are quarantined. Early detection of em…
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…