activity
20152026
most citedOnline Event Recognition from Moving Vessel Trajectories

118 citations · 185 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2026

On Electric Vehicle Energy Demand Forecasting and the Effect of Federated Learning

Andreas Tritsarolis, Gil Sampaio, Nikos Pelekis +1

The wide spread of new energy resources, smart devices, and demand side management strategies has motivated several analytics operations, from infrastructure load modeling to user…

cs.LG2024

On Vessel Location Forecasting and the Effect of Federated Learning

Andreas Tritsarolis, Nikos Pelekis, Konstantina Bereta +2

The wide spread of Automatic Identification System (AIS) has motivated several maritime analytics operations. Vessel Location Forecasting (VLF) is one of the most critical operatio…

cs.DB2019★ 28 cited

Scalable Distributed Subtrajectory Clustering

Panagiotis Tampakis, Nikos Pelekis, Christos Doulkeridis +1

Trajectory clustering is an important operation of knowledge discovery from mobility data. Especially nowadays, the need for performing advanced analytic operations over massively…

cs.DB2019★ 36 cited

Distributed Subtrajectory Join on Massive Datasets

Panagiotis Tampakis, Christos Doulkeridis, Nikos Pelekis +1

Joining trajectory datasets is a significant operation in mobility data analytics and the cornerstone of various methods that aim to extract knowledge out of them. In the era of Bi…

cs.LG2018★ 2 cited

Moving Objects Analytics: Survey on Future Location & Trajectory Prediction Methods

Harris Georgiou, Sophia Karagiorgou, Yannis Kontoulis +4

The tremendous growth of positioning technologies and GPS enabled devices has produced huge volumes of tracking data during the recent years. This source of information constitutes…

cs.CV2016★ 118 cited

Online Event Recognition from Moving Vessel Trajectories

Kostas Patroumpas, Elias Alevizos, Alexander Artikis +3

We present a system for online monitoring of maritime activity over streaming positions from numerous vessels sailing at sea. It employs an online tracking module for detecting imp…

cs.DB2015★ 1 cited

Optimal Time-dependent Sequenced Route Queries in Road Networks

Camila F. Costa, Mario A. Nascimento, Jose A. F. Macedo +3

In this paper we present an algorithm for optimal processing of time-dependent sequenced route queries in road networks, i.e., given a road network where the travel time over an ed…