activity
20162024
most citedOnline Event Recognition from Moving Vessel Trajectories

118 citations · 180 across the 9 of their papers we have counts for

collaborators

11 papers

cs.FL2024

Complex Event Recognition with Symbolic Register Transducers: Extended Technical Report

Elias Alevizos, Alexander Artikis, Georgios Paliouras

We present a system for Complex Event Recognition (CER) based on automata. While multiple such systems have been described in the literature, they typically suffer from a lack of c…

cs.LG2022

Early Time-Series Classification Algorithms: An Empirical Comparison

Charilaos Akasiadis, Evgenios Kladis, Evangelos Michelioudakis +2

Early Time-Series Classification (ETSC) is the task of predicting the class of incoming time-series by observing as few measurements as possible. Such methods can be employed to ob…

cs.FL2021

Symbolic Register Automata for Complex Event Recognition and Forecasting

Elias Alevizos, Alexander Artikis, Georgios Paliouras

We propose an automaton model which is a combination of symbolic and register automata, i.e., we enrich symbolic automata with memory. We call such automata Symbolic Register Autom…

cs.DB2021

Complex Event Forecasting with Prediction Suffix Trees: Extended Technical Report

Elias Alevizos, Alexander Artikis, Georgios Paliouras

Complex Event Recognition (CER) systems have become popular in the past two decades due to their ability to "instantly" detect patterns on real-time streams of events. However, the…

q-bio.QM2021★ 15 cited

Parallel Model Exploration for Tumor Treatment Simulations

Charilaos Akasiadis, Miguel Ponce-de-Leon, Arnau Montagud +6

Computational systems and methods are often being used in biological research, including the understanding of cancer and the development of treatments. Simulations of tumor growth…

cs.AI2018★ 6 cited

Wayeb: a Tool for Complex Event Forecasting

Elias Alevizos, Alexander Artikis, Georgios Paliouras

Complex Event Processing (CEP) systems have appeared in abundance during the last two decades. Their purpose is to detect in real-time interesting patterns upon a stream of events…