1,720,983 research outputs found
Application of machine learning techniques for the forecasting of fashion trends
No full textNell’articolo si mostra come sia possibile ed utile applicare
tecniche di Intelligenza Artificiale in un settore altamente
creativo come quello della moda, con particolare riferimento
alla previsione dei “trend”.
Il lavoro descrive un prototipo di sistema basato sulla
conoscenza in grado di generare automaticamente le previsioni
dei “trend” nel settore della moda. Nel nostro caso,
ogni “trend” e’ rappresentato dai colori utilizzabili per le
nuove collezioni che meglio rappresentano le parole chiave
e le immagini sulle quali lo stilista ha deciso di incentrare
una collezione.
Per la rappresentazione in modelli della conoscenza
utilizzata dal sistema per le previsioni sono state sperimentate
due diverse metodologie: le reti Bayesiane e gli
alberi decisionali. Questi modelli sono generati mediante
l’utilizzo di tecniche di apprendimento automatico a
partire da dataset di previsioni effettuate negli anni passati.
Nell’articolo vengono presentati il modo con cui utilizzare
tali modelli per la previsione e gli esperimenti svolti al
fine di valutare la loro performance
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Co-Design of a Patient Fall Risk Prevention Service Powered by Machine Learning
No full textIn hospitals, patients often experience falls at night, especially when they're under the influence of painkillers and anesthesia. Instead of seeking assistance, these patients, in their confused state, might impulsively try to get up, endangering their safety. Such incidents can lead to severe injuries, even fatalities, or cases where patients wander away from their rooms. These occurrences not only impact the health of the patients but also increase insurance costs for hospitals. Centro Chirurgico Toscano (CCT - Tuscany Surgery Center) and the Interaction Design Lab of the University of Siena have explored a fall prevention system using Machine Learning (ML) and image recognition. This system, installed in a CCT room, monitors patients' positions in real-time (whether they're lying, sitting, or standing) and raises an alert for any risky postures. The project favored a human-centered approach to meet the specific needs of stakeholders. The setting of the fall prevention system, and four dashboards to view, control, manage and modify the system, were co-designed for and with the CCT. The tested system has shown reliability, leading to considerations for its broader application. The goal is to promote a preventive culture in health care by leveraging technologies such as image recognition to minimize fall risks
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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