118 citations · 120 across the 8 of their papers we have counts for
9 papers
Context-Enriched Natural Language Descriptions of Vessel Trajectories
Kostas Patroumpas, Alexandros Troupiotis-Kapeliaris, Giannis Spiliopoulos +4
We address the problem of transforming raw vessel trajectory data collected from AIS into structured and semantically enriched representations interpretable by humans and directly…
Data-Driven Trajectory Imputation for Vessel Mobility Analysis
Giannis Spiliopoulos, Alexandros Troupiotis-Kapeliaris, Kostas Patroumpas +4
Modeling vessel activity at sea is critical for a wide range of applications, including route planning, transportation logistics, maritime safety, and environmental monitoring. Ove…
Hippasus: Effective and Efficient Automatic Feature Augmentation for Machine Learning Tasks on Relational Data
Serafeim Papadias, Kostas Patroumpas, Dimitrios Skoutas
ML models critically depend on feature quality, yet in real-world settings, useful features are often distributed across multiple relational tables rather than a single dataset. Fe…
Accelerating Spatio-Textual Queries with Learned Indices
Georgios Chatzigeorgakidis, Kostas Patroumpas, Dimitrios Skoutas +1
Efficiently computing spatio-textual queries has become increasingly important in various applications that need to quickly retrieve geolocated entities associated with textual inf…
Local Similarity Search on Geolocated Time Series Using Hybrid Indexing
Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas +3
Geolocated time series, i.e., time series associated with certain locations, abound in many modern applications. In this paper, we consider hybrid queries for retrieving geolocated…
Local Pair and Bundle Discovery over Co-Evolving Time Series
Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas +3
Time series exploration and mining has many applications across several industrial and scientific domains. In this paper, we consider the problem of detecting locally similar pairs…
Twin Subsequence Search in Time Series
Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas +3
We address the problem of subsequence search in time series using Chebyshev distance, to which we refer as twin subsequence search. We first show how existing time series indices c…
Optimizing Vessel Trajectory Compression
Giannis Fikioris, Kostas Patroumpas, Alexander Artikis
In previous work we introduced a trajectory detection module that can provide summarized representations of vessel trajectories by consuming AIS positional messages online. This me…
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…