Pattern Recognition in Bioinformatics
9th IAPR International Conference, PRIB 2014, Stockholm, Sweden, August 21-23, 2014. Proceedings
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81 Result(s)
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Elena Marchiori
English
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Chapter and Conference Paper
An Auto-Coding Process for Testing the Cognitive-Affective and Conative Model of Destination Image
Current research on online contents analysis relies mainly on human coding procedures, and it is still under research the creation of automatic tools for content analysis in the eTourism domain. Thus, consider...
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Chapter and Conference Paper
Studying Online Contents Navigation: A Comparison Between Eye-Tracking Technique and Self-Reported Investigation
This study posits that an eye-tracking approach, together with a self-reported research design, represent valid alternatives to study tourism-related web browsing behavior. Users might form their idea about a ...
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Chapter and Conference Paper
Reframing the Image of a Destination: A Pre-Post Study on Social Media Exposure
The majority of the studies on destination image have so far mainly focused on the cognitive and affective components, and there is still a lack of research on the conative component of destination image (i.e....
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Chapter and Conference Paper
Evolutionary Methods for the Construction of Cryptographic Boolean Functions
Boolean functions represent an important primitive when constructing many stream ciphers. Since they are often the only nonlinear element of such ciphers, without them the algorithm would be trivial to break. ...
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Article
Feature selection for k-means clustering stability: theoretical analysis and an algorithm
Stability of a learning algorithm with respect to small input perturbations is an important property, as it implies that the derived models are robust with respect to the presence of noisy features and/or data...
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Book and Conference Proceedings
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Chapter and Conference Paper
Combining Evolutionary Computation and Algebraic Constructions to Find Cryptography-Relevant Boolean Functions
Boolean functions play a central role in security applications because they constitute one of the basic primitives for modern cryptographic services. In the last decades, research on Boolean functions has been...
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Chapter and Conference Paper
Biases of Drug–Target Interaction Network Data
Network based prediction of interaction between drug compounds and target proteins is a core step in the drug discovery process. The availability of drug–target interaction data has boosted the development of ...
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Article
Open AccessDifferences in sequencing technologies improve the retrieval of anammox bacterial genome from metagenomes
Sequencing technologies have different biases, in single-genome sequencing and metagenomic sequencing; these can significantly affect ORFs recovery and the population distribution of a metagenome. In this pape...
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Chapter and Conference Paper
Erratum to: What did they say about us? Message Cues and Destination Reputation in Social Media
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Chapter and Conference Paper
Drivers and Benefits of Analysing DMOs’ eWOM Activities
The purpose of this study was to identify and evaluate the effect of the use of electronic Word of-Mouth (eWOM) results on the perceived marketing success of both eWOM in particular, and web marketing in gener...
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Chapter and Conference Paper
Class Dependent Feature Weighting and K-Nearest Neighbor Classification
Feature weighting in supervised learning concerns the development of methods for quantifying the capability of features to discriminate instances from different classes. A popular method for this task, called ...
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Chapter and Conference Paper
Hotel Mobile Apps. The Case of 4 and 5 Star Hotels in European German-Speaking Countries
The importance of mobile internet for travel and tourism has been widely acknowledged, nonetheless the different typologies of mobile applications, their design and usefulness are still under researched. In or...
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Chapter and Conference Paper
What did they say about us? Message Cues and Destination Reputation in Social Media
This paper focuses on destination reputation and how online conversations have changed the nature of destination marketing. In particular, structural equation modelling (SEM) was used to identify the importanc...
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Article
Open AccessA methodology for detecting the orthology signal in a PPI network at a functional complex level
Stable evolutionary signal has been observed in a yeast protein-protein interaction (PPI) network. These finding suggests more connected regions of a PPI network to be potential mediators of evolutionary infor...
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Chapter and Conference Paper
eTcoMM — eTourism Communication Maturity Model. A Framework to evaluate the Maturity of a DMO when it comes to the Online Communication Management: The Case of Canton Ticino and Lombardy
The online environment represents an important communication resource of a Destination Management Organization (DMO). Evaluating the level of preparation of a DMO on its processes dedicated to the online commu...
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Chapter and Conference Paper
Destinations Similarity Based on User Generated Pictures’ Tags
Pictures about tourism destinations are part of the contents shared online through social media by travellers. Additional pictures information, such as geo-tags and user description of place, can be used to cr...
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Chapter and Conference Paper
Complex Detection in Protein-Protein Interaction Networks: A Compact Overview for Researchers and Practitioners
The availability of large volumes of protein-protein interaction data has allowed the study of biological networks to unveil the complex structure and organization in the cell. It has been recognized by biolog...
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Chapter and Conference Paper
Robust Community Detection Methods with Resolution Parameter for Complex Detection in Protein Protein Interaction Networks
Unraveling the community structure of real-world networks is an important and challenging problem. Recently, it has been shown that methods based on optimizing a clustering measure, in particular modularity, h...
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Chapter and Conference Paper
PCA, Eigenvector Localization and Clustering for Side-Channel Attacks on Cryptographic Hardware Devices
Spectral methods, ranging from traditional Principal Components Analysis to modern Laplacian matrix factorization, have proven to be a valuable tool for a wide range of diverse data mining applications. Common...
