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Article
Open AccessFrom multiple aspect trajectories to predictive analysis: a case study on fishing vessels in the Northern Adriatic sea
In this paper we model spatio-temporal data describing the fishing activities in the Northern Adriatic Sea over four years. We build, implement and analyze a database based on the fusion of two complementary d...
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Article
Understanding evolution of maritime networks from automatic identification system data
Recent studies on maritime traffic model the interplay between vessels and ports as a graph, which is often built using automatic identification system (AIS) data. However, only a few works explicitly study th...
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Chapter and Conference Paper
Full Motion Focus: Convolutional Module for Improved Left Ventricle Segmentation Over 4D MRI
Magnetic Resonance Imaging (MRI) is a widely known medical imaging technique used to assess the heart function. Over Cardiac MRI (CMR) images, Deep Learning (DL) models perform several tasks with good efficacy...
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Article
DermaDL: Advanced Convolutional Neural Networks for Computer-Aided Skin-Lesion Classification
Early identification of the type of skin lesion, some of them carcinogenic, is of paramount importance. Currently, the use of Convolutional Neural Networks (CNNs) is the mainline of investigation for the autom...
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Chapter and Conference Paper
Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning
The global expansion of maritime activities and the development of the Automatic Identification System (AIS) have driven the advances in maritime monitoring systems in the last decade. Given the enormous volu...
