activity
20202026
most citedA semi-supervised methodology for fishing activity detection using the geometry behind the trajectory of multiple vessels

27 citations · 78 across the 14 of their papers we have counts for

collaborators

14 papers

cs.AI2026

MoCo-AIS: A Contrastive Learning Framework for Similarity Computation of Vessel Trajectories

Ruixin Song, Md Mahbub Alam, Zahra Sadeghi +3

Trajectory similarity is a fundamental task in analyzing mobility patterns, essential for applications such as route pattern extraction, mobility prediction, and anomaly detection.…

cs.AI2024

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…

cs.RO2024

Improving Dribbling, Passing, and Marking Actions in Soccer Simulation 2D Games Using Machine Learning

Nader Zare, Omid Amini, Aref Sayareh +4

The RoboCup competition was started in 1997, and is known as the oldest RoboCup league. The RoboCup 2D Soccer Simulation League is a stochastic, partially observable soccer environ…

cs.LG2024★ 19 cited

Enhancing Global Maritime Traffic Network Forecasting with Gravity-Inspired Deep Learning Models

Ruixin Song, Gabriel Spadon, Ronald Pelot +2

Aquatic non-indigenous species (NIS) pose significant threats to biodiversity, disrupting ecosystems and inflicting substantial economic damages across agriculture, forestry, and f…

cs.RO2023

Denoising Opponents Position in Partial Observation Environment

Aref Sayareh, Aria Sardari, Vahid Khoddami +3

The RoboCup competitions hold various leagues, and the Soccer Simulation 2D League is a major among them. Soccer Simulation 2D (SS2D) match involves two teams, including 11 players…

cs.LG2023★ 14 cited

Multi-Path Long-Term Vessel Trajectories Forecasting with Probabilistic Feature Fusion for Problem Shifting

Gabriel Spadon, Jay Kumar, Derek Eden +6

This paper addresses the challenge of boosting the precision of multi-path long-term vessel trajectory forecasting on engineered sequences of Automatic Identification System (AIS)…

cs.RO2023

Pyrus Base: An Open Source Python Framework for the RoboCup 2D Soccer Simulation

Nader Zare, Aref Sayareh, Omid Amini +4

Soccer, also known as football in some parts of the world, involves two teams of eleven players whose objective is to score more goals than the opposing team. To simulate this game…

cs.RO2022

Cyrus2D base: Source Code Base for RoboCup 2D Soccer Simulation League

Nader Zare, Omid Amini, Aref Sayareh +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…

cs.LG2022★ 27 cited

A semi-supervised methodology for fishing activity detection using the geometry behind the trajectory of multiple vessels

Martha Dais Ferreira, Gabriel Spadon, Amilcar Soares +1

Automatic Identification System (AIS) messages are useful for tracking vessel activity across oceans worldwide using radio links and satellite transceivers. Such data plays a signi…

cs.RO2022

CYRUS Soccer Simulation 2D Team Description Paper 2021

Nader Zare, Aref Sayareh, Mahtab Sarvmaili +3

In this report, we briefly present the technical procedure and simulation steps for the 2D soccer simulation of team Cyrus. We emphasize on this document on how the prediction of t…

cs.AI2022★ 2 cited

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…

cs.LG2022★ 16 cited

Unfolding AIS transmission behavior for vessel movement modeling on noisy data leveraging machine learning

Gabriel Spadon, Martha D. Ferreira, Amilcar Soares +1

The oceans are a source of an impressive mixture of complex data that could be used to uncover relationships yet to be discovered. Such data comes from the oceans and their surface…

cs.SI2021

Survey of Generative Methods for Social Media Analysis

Stan Matwin, Aristides Milios, Paweł Prałat +2

This survey draws a broad-stroke, panoramic picture of the State of the Art (SoTA) of the research in generative methods for the analysis of social media data. It fills a void, as…

cs.LG2020

Using Deep Reinforcement Learning Methods for Autonomous Vessels in 2D Environments

Mohammad Etemad, Nader Zare, Mahtab Sarvmaili +3

Unmanned Surface Vehicles technology (USVs) is an exciting topic that essentially deploys an algorithm to safely and efficiently performs a mission. Although reinforcement learning…