activity
20222025
most citedAn experimental study of existing tools for outlier detection and cleaning in trajectories

8 citations · 20 across the 10 of their papers we have counts for

collaborators

10 papers

cs.LG2025

Federated Learning and Trajectory Compression for Enhanced AIS Coverage

Thomas Gräupl, Andreas Reisenbauer, Marcel Hecko +6

This paper presents the VesselEdge system, which leverages federated learning and bandwidth-constrained trajectory compression to enhance maritime situational awareness by extendin…

cs.AI2025

Building a Foundation Model for Trajectory from Scratch

Gaspard Merten, Mahmoud Sakr, Gilles Dejaegere

Foundation models are transformative in artificial intelligence, but building them from scratch, especially for mobility trajectories, is not yet clear or documented. This tutorial…

cs.DB2025★ 8 cited

An experimental study of existing tools for outlier detection and cleaning in trajectories

Mariana M Garcez Duarte, Mahmoud Sakr

Outlier detection and cleaning are essential steps in data preprocessing to ensure the integrity and validity of data analyses. This paper focuses on outlier points within individu…

cs.DB2025

Mobility Stream Processing on NebulaStream and MEOS

Mariana M. Garcez Duarte, Dwi P. A. Nugroho, Georges Tod +7

The increasing use of Internet-of-Things (IoT) sensors in moving objects has resulted in vast amounts of spatiotemporal streaming data. To analyze this data in situ, real-time spat…

cs.HC2025

GeoPandas-AI: A Smart Class Bringing LLM as Stateful AI Code Assistant

Gaspard Merten, Gilles Dejaegere, Mahmoud Sakr

Geospatial data analysis plays a crucial role in tackling intricate societal challenges such as urban planning and climate modeling. However, employing tools like GeoPandas, a prom…

cs.LG2025★ 5 cited

Using LLMs for Analyzing AIS Data

Gaspard Merten, Gilles Dejaegere, Mahmoud Sakr

Recent research in Large Language Models (LLMs), has had a profound impact across various fields, including mobility data science. This paper explores the and experiment with diffe…

cs.DB2024★ 3 cited

Multi-Entry Generalized Search Trees for Indexing Trajectories

Maxime Schoemans, Walid G. Aref, Esteban Zimányi +1

The idea of generalized indices is one of the success stories of database systems research. It has found its way to implementation in common database systems. GiST (Generalized Sea…

cs.OH2024

New algorithms for the simplification of multiple trajectories under bandwidth constraints

Gilles Dejaegere, Mahmoud Sakr

This study introduces time-windowed variations of three established trajectory simplification algorithms. These new algorithms are specifically designed to be used in contexts with…

cs.OH2023★ 4 cited

Towards Mobility Data Science (Vision Paper)

Mohamed Mokbel, Mahmoud Sakr, Li Xiong +45

Mobility data captures the locations of moving objects such as humans, animals, and cars. With the availability of GPS-equipped mobile devices and other inexpensive location-tracki…

cs.DB2022

Selectivity Estimation of Inequality Joins In Databases

Diogo Repas, Zhicheng Luo, Maxime Schoemans +1

Selectivity estimation refers to the ability of the SQL query optimizer to estimate the size of the results of a predicate in the query. It is the main calculation, based on which…