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07/12/2022
A semi-supervised geometric-driven methodology for supervised fishing activity detection on multi-source AIS tracking messages
Automatic Identification System (AIS) messages are useful for tracking v...
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06/01/2022
From Cities to Series: Complex Networks and Deep Learning for Improved Spatial and Temporal Analytics*
Graphs have often been used to answer questions about the interaction be...
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02/24/2022
Unfolding collective AIS transmission behavior for vessel movement modeling on irregular timing data using noise-robust neural networks
This paper aims to model the Automatic Identification System (AIS) messa...
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08/31/2020
DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods
Pesticide application has been heavily used in the cultivation of major ...
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08/28/2020
Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning
Time-series forecasting is one of the most active research topics in pre...
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09/10/2019
Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls
Automated medical prognosis has gained interest as artificial intelligen...
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08/09/2019
Reconstructing commuters network using machine learning and urban indicators
Human mobility has a significant impact on several layers of society, fr...
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06/06/2018
Topological street-network characterization through feature-vector and cluster analysis
Complex networks provide a means to describe cities through their street...
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03/24/2018
A distance-based tool-set to track inconsistent urban structures through complex-networks
Complex networks can be used for modeling street meshes and urban agglom...
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11/21/2017