Search results for "Data Science"

Taxonomy 2.0: computer-aided identification tools to assist Antarctic biologists in the field and in the laboratory

2020

Species inventories are essential to the implementation of conservation policies to mitigate biodiversity loss and maintain ecosystem services and their value to the society. This is particularly topical with respect to climate change and direct anthropogenic effects on Antarctic biodiversity, with the identification of the most at-risk taxa and geographical areas becoming a priority. Identification tools are often neglected and considered helpful only for taxonomists. However, the development of new online information technologies and computer-aided identification tools provides an opportunity to promote them to a wider audience, especially considering the emerging generation of scientists…

Blockchain Technology: Principles and Applications

2016

This paper expounds the main principles behind blockchain technology and some of its cutting-edge applications. Firstly, we present the core concepts at the heart of the blockchain, and we discuss the potential risks and drawbacks of public distributed ledgers, and the shift toward hybrid solutions. Secondly, we expose the main features of decentralized public ledger platforms. Thirdly, we show why the blockchain is a disruptive and foundational technology, and fourthly, we sketch out a list of important applications, bearing in mind the most recent evolutions.

Recent developments, current challenges, and future directions in electrophysiological approaches to studying intelligence

2021

Abstract EEG studies represent an important sub-discipline in the field of intelligence research and have significant potential to advance the theoretical understanding and practical applications of the construct. This commentary reviews key themes and major developments in the field from the last several decades, and outlines open questions and future directions for the next phase of research. Two main areas of progress in recent years relate to (1) improvements in study design and psychometric approaches, and (2) increased integration with cognitive psychology and neuroscience. In turn, these advances have clarified several themes and pressing issues. These include: The need to establish …

Understanding the role of documents in a hierarchical flow of work

1997

Weighted Evaluation Framework for Cross-Platform App Development Approaches

2016

Cross-platform app development is very challenging, although only two platforms with significant market share (iOS and Android) remain. While device fragmentation – multiple, only partly compatible versions of a platform – has been complicating matters already, the need to target different device classes is a new emergence. Smartphones and tablets are relatively similar but app-enabled devices such as TVs and even cars typically have differing capabilities. To facilitate usage of cross-platform app development approaches, we present work on an evaluation framework. Our framework provides a set of up-to-date evaluation criteria. Unlike prior work on this topic, it offers weighted assessment …

Influence Assessment in Twitter Multi-relational Network

2015

International audience; Influence in Twitter has become recently a hot research topic since this micro-blogging service is widely used to share and disseminate information. Some users are more able than others to influence and persuade peers. Thus, studying most influential users leads to reach a large-scale information diffusion area, something very useful in marketing or political campaigns. In this paper, we propose a new approach for influence assessment on Twitter network, it is based on a modified version of the conjunctive combination rule in belief functions theory in order to combine different influence markers such as retweets, mentions and replies. We experiment the proposed meth…

Unraveling the Complexity of Tourist Experience with NFC Technology and Mobile Wallets

2014

By considering the tourist experience as a complex dynamic system, in this paper we depict the traveler as a kybernetes (κυβeρνήτης is the ancient Greek word for ‘sea captain’, ‘steersman’, or ‘governor’) in search of powerful tools to help him or her to obtain directions in the mare magnum of complexity, overcoming the fear of action and taking decisions. We focus our attention on the key role of Near Field Communication technology and mobile wallet as ‘attenuators of complexity’ in the travel and tourism industry.

Response to "Trust, but verify".

2020

ValWorkBench: an open source Java library for cluster validation, with applications to microarray data analysis.

2015

Background: Cluster analysis is one of the most well known activities in scientific investigation and the object of research in many disciplines, ranging from statistics to computer science. It is central to the life sciences due to the advent of high throughput technologies, e.g., classification of tumors. In particular, in cluster analysis, it is of relevance to assess cluster quality and to predict the number of clusters in a dataset, if any. This latter task is usually performed via internal validation measures. Despite their potentially important role, both the use of classic internal validation measures and the design of new ones, specific for microarray data, do not seem to have grea…

Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators

2021

One of the most challenging problems in the study of complex dynamical systems is to find the statistical interdependencies among the system components. Granger causality (GC) represents one of the most employed approaches, based on modeling the system dynamics with a linear vector autoregressive (VAR) model and on evaluating the information flow between two processes in terms of prediction error variances. In its most advanced setting, GC analysis is performed through a state-space (SS) representation of the VAR model that allows to compute both conditional and unconditional forms of GC by solving only one regression problem. While this problem is typically solved through Ordinary Least Sq…