1,721,169 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
Appropriate Similarity Measures for Author Cocitation Analysis
We 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
HE-MAN -- Homomorphically Encrypted MAchine learning with oNnx models
Machine learning (ML) algorithms are increasingly important for the success
of products and services, especially considering the growing amount and
availability of data. This also holds for areas handling sensitive data, e.g.
applications processing medical data or facial images. However, people are
reluctant to pass their personal sensitive data to a ML service provider. At
the same time, service providers have a strong interest in protecting their
intellectual property and therefore refrain from publicly sharing their ML
model. Fully homomorphic encryption (FHE) is a promising technique to enable
individuals using ML services without giving up privacy and protecting the ML
model of service providers at the same time. Despite steady improvements, FHE
is still hardly integrated in today's ML applications.
We introduce HE-MAN, an open-source two-party machine learning toolset for
privacy preserving inference with ONNX models and homomorphically encrypted
data. Both the model and the input data do not have to be disclosed. HE-MAN
abstracts cryptographic details away from the users, thus expertise in FHE is
not required for either party. HE-MAN 's security relies on its underlying FHE
schemes. For now, we integrate two different homomorphic encryption schemes,
namely Concrete and TenSEAL. Compared to prior work, HE-MAN supports a broad
range of ML models in ONNX format out of the box without sacrificing accuracy.
We evaluate the performance of our implementation on different network
architectures classifying handwritten digits and performing face recognition
and report accuracy and latency of the homomorphically encrypted inference.
Cryptographic parameters are automatically derived by the tools. We show that
the accuracy of HE-MAN is on par with models using plaintext input while
inference latency is several orders of magnitude higher compared to the
plaintext case
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Feeling heroic : affective response and the he-man action film
Using the he-man genre as a case study, this study examines the ways in which film solicits affective responses from the viewer. The he-man genre is defined as those Hollywood action films produced during the 1980s and early 1990s that feature a hardbodied hero as the main protagonist. This study, using a broadly cognitive theorization of affect, examines three specific areas in which these films solicit affective states: the areas of narration, spectacle, and depictions of masculinity and the male body.Radio-Television-Fil
Dispelling the Myths Behind First-author Citation Counts
We 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
We 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
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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