81 Result(s)
within
Elena Marchiori
English
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Article
Open AccessFatal Case of a Contained Ruptured of the Infrarenal Aorta due to Simultaneous Primary Aortocaval Fistula and Aortoenteric Fistula
We report an extremely rare case of primary aortocaval fistula with simultaneous development of an aortoenteric fistula in a 68-year-old man. The patient developed under oral anticoagulation a spontaneous intr...
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Chapter and Conference Paper
Destinations and Data State-of-the-Art in Switzerland and Liechtenstein
This research investigates the state of the art among Switzerland (CH)’s and Liechtenstein (FL)’s destinations, intended here as Destination Marketing Organizations (DMOs), when it comes to their relationship ...
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Chapter and Conference Paper
Understanding Preferences in Tourism Email Marketing
Nowadays, advanced tools allow the personalization of email communication with tourism clients or prospects based on explicit (e.g. name, age, language, country) and implicit indicators (e.g. ranking of activi...
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Article
Open AccessGaussian processes with skewed Laplace spectral mixture kernels for long-term forecasting
Long-term forecasting involves predicting a horizon that is far ahead of the last observation. It is a problem of high practical relevance, for instance for companies in order to decide upon expensive long-ter...
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Chapter and Conference Paper
Multi-view Analysis of Unregistered Medical Images Using Cross-View Transformers
Multi-view medical image analysis often depends on the combination of information from multiple views. However, differences in perspective or other forms of misalignment can make it difficult to combine views ...
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Chapter
The Relevance of Eye-Tracking to Understand Users’ Practices and Content Interpretation in Tourism-Related Online Navigation
This chapter presents and discusses the implications of current approaches to understand practices of users accessing tourism-related online content, especially when it comes to their understanding and interpr...
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Chapter and Conference Paper
Incorporating Dependencies in Spectral Kernels for Gaussian Processes
Gaussian processes (GPs) are an elegant Bayesian approach to model an unknown function. The choice of the kernel characterizes one’s assumption on how the unknown function autocovaries. It is a core aspect of...
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Chapter and Conference Paper
The Representation of Speech in Deep Neural Networks
In this paper, we investigate the connection between how people understand speech and how speech is understood by a deep neural network. A naïve, general feed-forward deep neural network was trained for the ta...
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Chapter and Conference Paper
Identification of Competing Destination Brand: The Case of Okinawa Island
In the field of destination branding, some researchers have conducted comparative studies for the development of the customer-based brand equity measurement. Since brand equity is a relative measure, it is req...
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Article
Open AccessChanges in retinal flow density measured by optical coherence tomography angiography in patients with carotid artery stenosis after carotid endarterectomy
The aim of the study presented here was to evaluate retinal and optic nerve head (ONH) perfusion in patients with severe asymptomatic carotid artery stenosis (CAS) compared with healthy controls and to analyze...
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Article
Analysis of users’ heart rate data and self-reported perceptions to understand effective virtual reality characteristics
Designing engaging virtual-reality (VR) experiences to promote a tourist destination is a challenge for destination managers. There is still limited research on which VR characteristics (i.e., format, field of...
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Article
Open AccessLocation Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
The anatomical location of imaging features is of crucial importance for accurate diagnosis in many medical tasks. Convolutional neural networks (CNN) have had huge successes in computer vision, but they lack ...
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Chapter and Conference Paper
Measuring the Media Effects of a Tourism-Related Virtual Reality Experience Using Biophysical Data
Tourism is among the domains that might see in Virtual reality (VR) several advances for promoting its products and services. This study is one of the first that proposes the use of biophysical data for invest...
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Chapter and Conference Paper
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation
Magnetic Resonance Imaging (MRI) is widely used in routine clinical diagnosis and treatment. However, variations in MRI acquisition protocols result in different appearances of normal and diseased tissue in th...
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Chapter and Conference Paper
Teenagers’ Destination Website Navigation. A Comparison Among Eye-Tracking, Web Analytics, and Self-declared Investigation
The aim of this study is to verify if teenagers’ actual navigation through webpages match with their self-declared preferences (in terms of tourist attractions), and if these preferences are in line with the o...
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Chapter
Evaluating Destination Communications on the Internet
Several approaches have been proposed to describe and evaluate online communication of tourist destinations, ranging from content analysis/benchmark, usability, web-analytics, marketing and PR, localization st...
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Chapter and Conference Paper
The Role of Destination in Hotels’ Online Communications: A Bottom-Up Approach
Among the various factors leading to the success of a hotel website, there is the provision of information related to a hotel’s destination context. Meanwhile, the ability to present destination information on...
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Chapter and Conference Paper
The Co-creation Process of the Online Image of an Italian World Heritage Site: The Sassi of Matera
This paper investigates the co-creation process of the online image of the Italian World Heritage Site “Sassi of Matera”, which has been inscribed among UNESCO World Heritage Sites in 1993. Despite the recent ...
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Chapter and Conference Paper
Discovering Potential Clinical Profiles of Multiple Sclerosis from Clinical and Pathological Free Text Data with Constrained Non-negative Matrix Factorization
Constrained non-negative matrix factorization (CNMF) is an effective machine learning technique to cluster documents in the presence of class label constraints. In this work, we provide a novel application of ...
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Chapter and Conference Paper
Listen to Your Customers! How Hotels Manage Online Travel Reviews. The Case of Hotels in Lugano
Given the increasing influence of online hotel reviews on travellers’ decisions, hotels need to develop management strategies, in order to monitor their business’ online reputation and to take advantage of cus...
