New research results on trajectory annotation and vessels trajectories anomaly detection

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Two research results jointly developed by MASTER partners during secondments have been recently accepted for publication:

“A network abstraction of multi-vessel trajectory data for detecting anomalies”

by Iraklis Varlamis (HUA), Konstantinos Tserpes (HUA), Mohammad Etemad (DAL), Amilcar Soares  Júnior and Stan Matwin (DAL)

has been accepted at the Big Mobility Data Analysis Workshop at EDBT conference, Lisbon, 2019. 

“A visual analytics platform for semantic annotation of trajectories”

by Amílcar Soares Junior (DAL), Jordan Rose (DAL), Mohammad Etemad (DAL), Chiara Renso (CNR) and Stan Matwin (DAL)

has been accepted as demo paper at EDBT Conference, Lisbon, 2019.

Congratulations to the authors!