2 citations · 4 across the 6 of their papers we have counts for
6 papers
MultiCast: Zero-Shot Multivariate Time Series Forecasting Using LLMs
Georgios Chatzigeorgakidis, Konstantinos Lentzos, Dimitrios Skoutas
Predicting future values in multivariate time series is vital across various domains. This work explores the use of large language models (LLMs) for this task. However, LLMs typica…
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…
Who Wants to Self-Track Anyway? Measuring the Relation between Self-Tracking Behavior and Personality Traits
Georgios Chatzigeorgakidis, Andrea Cuttone, Sune Lehmann +1
We describe an empirical study of the usage of a mobility self-tracking app, SensibleJournal 2014, which provides personal mobility information to N=796 participants as part of a l…