1,720,963 research outputs found
Towards Latent Space Optimization of GANs Using Meta-Learning
No full textThe necessity to use very large datasets in order to train Generative Adversarial Networks (GANs) has limited their use in cases where the data at disposal are scarce or poorly labelled (e.g., in real life applications). Recently, meta-learning proved that it can help solving effectively few-shot classification problems, but its use in noise-to-image generation was only partially explored. In this paper, we took the first step into applying a meta-learning algorithm (Reptile), to the discriminator of a GAN and to a mapping network in order to optimize the random noise z to guide the generator network into producing images belonging to specific classes. By doing so, we prove that the latent space distribution is crucial for the generation of sharp samples when few training data are at disposal and also managed to generate samples of previously unseen classes just by optimizing the latent space without changing any parameter in the generator network. Finally, we show several experiments with two widely used datasets: MNIST and Omniglot
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
Propofol for sedation in the intensive care unit: Comparitive evaluation of 1 and 2 formulations
No full textAppropriate 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
Efficacy of Endoscopic Treatment of Post-Sleeve Gastrectomy Fistulas According to the Radiological Type
No full textThe originality of this retrospective study relies on the evaluation of the effectiveness of the endoscopic internal drainage (EID) according to the type of fistula.
METHODS:
The type of fistula was classified initially according to a CT scan with oral opacification: fistula without a communicating abscess (type I), fistula with a communicating abscess (type II), and fistula with an abscessed sub- and sus-diaphragmatic communicating collection (type III). Treatment algorithm consisted of the insertion of a nasojejunal feeding tube (NJFT) for type I fistulas and the placement of a NJFT with EID with or without surgical drainage for types II and III.
RESULTS:
Forty-nine patients were included. The clinical success rate with fistula healing was 100% in group I, 96% in group II, and 12% for group III (p = 0.001). Mean time for diagnosis of the fistula was significantly higher in type III (p = 0.04). The mean estimated size of the defect was higher in type II, 11.2 mm and III, 10 mm versus type I, 2.8 mm (p = 0.001). The average number of scheduled endoscopic sessions were 2, 2.7, and 5.2 for types I, II, and III, respectively (p = 0.001). The number of unscheduled reinterventions was also significantly higher in type III (p = 0.03). The NJFT was left in place for a significantly longer duration in type III (136 days) compared to types I (3, 13) and II (49) p = 0.001.
CONCLUSION:
This study shows that proper characterization of the type of fistula before the endoscopic treatment of post-sleeve fistulas improves the efficacy of the endoscopic treatment
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
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