14 citations · 31 across the 11 of their papers we have counts for
6 papers · 1 filter
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…
Pre-trained Embeddings for Entity Resolution: An Experimental Analysis [Experiment, Analysis & Benchmark]
Alexandros Zeakis, George Papadakis, Dimitrios Skoutas +1
Many recent works on Entity Resolution (ER) leverage Deep Learning techniques involving language models to improve effectiveness. This is applied to both main steps of ER, i.e., bl…
Atrapos: Real-time Evaluation of Metapath Query Workloads
Serafeim Chatzopoulos, Thanasis Vergoulis, Dimitrios Skoutas +3
Heterogeneous information networks (HINs) represent different types of entities and relationships between them. Exploring, analysing, and extracting knowledge from such networks re…
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…
A Survey of Blocking and Filtering Techniques for Entity Resolution
George Papadakis, Dimitrios Skoutas, Emmanouil Thanos +1
Efficiency techniques are an integral part of Entity Resolution, since its infancy. In this survey, we organized the bulk of works in the field into Blocking, Filtering and hybrid…