1,721,023 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Facial expression recognition with trade-offs between data augmentation and deep learning features
No full textA novel facial expression recognition system has been proposed in this paper. The objective of this paper is to recognize the types of expressions in the human face region. The implementation of the proposed system has been divided into four components. In the first component, a region of interest as face detection has been performed from the captured input image. For extracting more distinctive and discriminant features, in the second component, a deep learning-based convolutional neural network architecture has been proposed to perform feature learning tasks for classification purposes to recognize the types of expressions. To enhance the performance of the proposed system, in the third component, some novel data augmentation techniques have been applied to the facial image to enrich the learning parameters of the proposed CNN model. In the fourth component, a trade-off between data augmentation and deep learning features have been performed for fine-tuning the trained CNN model. Extensive experimental results have been demonstrated using three benchmark databases: KDEF (seven expression classes), GENKI-4k (two expression classes), and CK+ (seven expression classes). The performance of the proposed system respect for each database has been well presented and described and finally, these performances have been compared with the existing state-of-the-art methods. The comparison with competing methods shows the superiority of the proposed system
Integrating end-to-end multimodal deep learning and domain adaptation for robust facial expression recognition
No full textThis paper presents an advanced approach to a facial expression recognition (FER) system designed for robust performance across diverse imaging environments. The proposed method consists of four primary components: image preprocessing, feature representation and classification, cross-domain feature analysis, and domain adaptation. The process begins with facial region extraction from input images, including those captured in unconstrained imaging conditions, where variations in lighting, background, and image quality significantly impact recognition performance. The extracted facial region undergoes feature extraction using an ensemble of multimodal deep learning techniques, including end-to-end CNNs, BilinearCNN, TrilinearCNN, and pretrained CNN models, which capture both local and global facial features with high precision. The ensemble approach enriches feature representation by integrating information from multiple models, enhancing the system's ability to generalize across different subjects and expressions. These deep features are then passed to a classifier trained to recognize facial expressions effectively in real-time scenarios. Since images captured in real-world conditions often contain noise and artifacts that can compromise accuracy, cross-domain analysis is performed to evaluate the discriminative power and robustness of the extracted deep features. FER systems typically experience performance degradation when applied to domains that differ from the original training environment. To mitigate this issue, domain adaptation techniques are incorporated, enabling the system to effectively adjust to new imaging conditions and improving recognition accuracy even in challenging real-time acquisition environments. The proposed FER system is validated using four well-established benchmark datasets: CK+, KDEF, IMFDB and AffectNet. Experimental results demonstrate that the proposed system achieves high performance within original domains and exhibits superior cross-domain recognition compared to existing state-of-the-art methods. These findings indicate that the system is highly reliable for applications requiring robust and adaptive FER capabilities across varying imaging conditions and domains
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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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