1,720,954 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
Comparison of handcrafted features extraction techniques for traffic sign recognition
Get PDFTraffic Sign Recognition (TSR) is a critical computer vision task for the advancement of Autonomous Driver Assistance Systems (ADAS) and autonomous vehicles, directly impacting road safety. While deep learning dominates current research, handcrafted feature extraction techniques remain relevant due to their interpretability, lower computational demands, and suitability for embedded systems. This paper presents a systematic empirical evaluation and comparison of five predominant handcrafted feature extraction methods: Histogram of Oriented Gradients (HOG), Scale-Invariant Feature Transform (SIFT), Bag of Words (BoW), Local Binary Patterns (LBP), and Gabor Filters for traffic sign recognition. The techniques are assessed on the German Traffic Sign Recognition Benchmark (GTSRB) using three classifiers: Support Vector Machine (SVM), Random Forest, and Decision Tree. Experimental results demonstrate that the choice of feature extractor and classifier significantly impacts performance, with HOG combined with an SVM classifier achieving the highest accuracy (95.2%). The study provides a clear performance hierarchy, revealing that HOG and LBP offer the best balance of accuracy and computational efficiency for this domain. We conclude that the optimal selection of a handcrafted feature extraction strategy is problem-dependent and provide concrete recommendations for implementing effective and efficient TSR systems
Traffic sign recognition using local directional histogram of oriented gradients
Get PDFHistogram of Oriented Gradients (HOG) describes an image gradient by calculating vertical and horizontal gradient magnitudes and directions. HOG uses a one-dimensional (1D) centered derivative mask [−1, 0, +1] for horizontal gradient and its rotations at 90o for vertical gradient. This technique only considers four neighboring pixels while calculating image gradient at a particular pixel. Every pixel in an image carries subtle information and therefore all pixels should be considered when deriving image gradient. Therefore, given a pixel pi, all its N = 2(d+1) neighbors should be considered when calculating the gradient at distance d from pi. This paper proposes Local Directional Histogram of Oriented Gradients (LD-HOG), which, given pixel pi, it calculates the gradient at distance d = 1 from pi by considering all the eight neighbors of pi. The proposed operator calculates the image gradient at 0o, 45o, 90o and 1350. These image gradients are used to generate two HOG histograms. Maximum pooling techniques were applied to combine the two histograms. Experimental results on the German traffic sign detection benchmark (GTSDB) dataset show that LD-HOG (average precision = 0.90, average recall = 0.90 and average F1-score =0.90) out performs HOG (average precision = 0.84, average recall = 0.82 and average F1-score = 0.83) in traffic sign recognition. The averages of the two extractors (HOG and LD-HOG) were calculated from experimental results after applying Support Vector Machine (SVM), Random Forest (RF) and Decision Tree (DT) machine learning classifiers. Stratified K-Fold Cross-Validation was done on the proposed LD-HOG using SVM, RF and DT. Validation results show that SVM performed better with 99 percent, followed by RF with 96 percent. DT was had 76 percent
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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