1,720,966 research outputs found
Enhancing text classification to improve information filtering
Get PDFText classification, information filtering, semi-supervised learning, quality controlMagdeburg, Univ., Fak. für Informatik, Diss., 2001von Carsten Lanquillo
Towards Hybrid Computer Vision: Assurance of Deep Learning based Environmental Perception with traditional Computer Vision in Advanced Air Mobility
No full textThe application of autonomous unmanned aerial vehicles (UAVs) within the Advanced Air Mobility (AAM) vision has the potential to significantly contribute to the resolution of several challenges in the fields of transportation, logistics, industrial automation and space travel. In order to enable the safe and large scale deployment of autonomous UAVs, it is crucial to ensure a trustworthy perception of the environment. The complexity of environmental perception necessitates the utilization of deep learning (DL) solutions, which are characterized by their opacity and lack of traceability in decision-making processes. Given these considerations, there have already been first regulatory initiatives from the EU and EASA that require conceptual safeguards for DL based environmental perception. The Group of Highly Automated Flying at the Fraunhofer Institute for Transportation and Infrastructure Systems IVI in Ingolstadt is therefore conducting research into the development of trustworthy environmental perception as part of the VERUM research project, in which this master thesis is conceptually integrated. This thesis explores the potential of employing a framework based on traditional computer vision (CV) methods to assure the trustworthiness of DL based environmental perception for AAM. The aim of the framework is to utilize traditional CV methods, which enable the detection of matches or mismatches in the output of DL models and subsequent confidence adjustments. By avoiding these potentially untrustworthy areas, accidents could be prevented and human lives could be protected in downstream decision-making processes. In the initial conceptualization phase, a comprehensive literature survey was conducted to identify traditional CV methods as potential candidates to assure semantic and topological DL model outputs. These traditional CV methods were further analyzed to design and develop approaches to assure these DL models. The results serve as the foundation for the subsequent design and implementation of the framework "Hybrid Computer Vision".
The prototype of the developed framework was evaluated and examined to determine the extent to which trustworthy and untrustworthy areas were recognized in the environmental perception and assigned with increased or decreased confidence, respectively. The findings of this thesis demonstrate the capability to assure DL based environmental perception with traditional CV, thereby representing a first concrete solution to the conceptual regulations
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
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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