activity
20182024
most citedSchema-agnostic Progressive Entity Resolution (extended version)

64 citations · 120 across the 17 of their papers we have counts for

collaborators

21 papers

cs.LG2024

User-friendly Foundation Model Adapters for Multivariate Time Series Classification

Vasilii Feofanov, Romain Ilbert, Malik Tiomoko +2

Foundation models, while highly effective, are often resource-intensive, requiring substantial inference time and memory. This paper addresses the challenge of making these models…

cs.DB2022

Generalized Supervised Meta-blocking (technical report)

Luca Gagliardelli, George Papadakis, Giovanni Simonini +2

Entity Resolution constitutes a core data integration task that relies on Blocking in order to tame its quadratic time complexity. Schema-agnostic blocking achieves very high recal…

cs.DB2021

Fast Data Series Indexing for In-Memory Data

Botao Peng, Panagiota Fatourou, Themis Palpanas

Data series similarity search is a core operation for several data series analysis applications across many different domains. However, the state-of-the-art techniques fail to deli…

cs.DB2021

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…

cs.DS2021

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…

cs.DS20212 cited

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…