1,720,957 research outputs found

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

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    “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

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    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

    Dispelling the Myths Behind First-author Citation Counts

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    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

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    Real-time gaze depth estimation using a wearable eye-tracking device

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    The accurate estimation of gaze depth is crucial for enhancing the functionality of eye-tracking systems, particularly in applications requiring precise three-dimensional gaze localization. This thesis presents a comprehensive approach to real-time gaze depth estimation using Tobii Pro Glasses 3, leveraging machine learning algorithms and precise pupil detection methods. The study begins with a theoretical overview of eye vergence and pupil detection techniques, followed by the development of a regression model trained to estimate gaze depth from the pupil positions. The experimental setup includes real-time video decoding and the analysis of pupil positions to validate the model’s performance. This research contributes to the field of gaze tracking by providing a robust framework for real-time depth estimation, highlighting the importance of precise pupil detection and positional calibration. Future work will focus on refining the model for broader applications and exploring additional features to enhance the accuracy and applicability of gaze depth estimation systems.Incomin

    Real-time gaze depth estimation using a wearable eye-tracking device

    No full text
    The accurate estimation of gaze depth is crucial for enhancing the functionality of eye-tracking systems, particularly in applications requiring precise three-dimensional gaze localization. This thesis presents a comprehensive approach to real-time gaze depth estimation using Tobii Pro Glasses 3, leveraging machine learning algorithms and precise pupil detection methods. The study begins with a theoretical overview of eye vergence and pupil detection techniques, followed by the development of a regression model trained to estimate gaze depth from the pupil positions. The experimental setup includes real-time video decoding and the analysis of pupil positions to validate the model’s performance. This research contributes to the field of gaze tracking by providing a robust framework for real-time depth estimation, highlighting the importance of precise pupil detection and positional calibration. Future work will focus on refining the model for broader applications and exploring additional features to enhance the accuracy and applicability of gaze depth estimation systems.Incomin

    Real-Time Gaze Depth Estimation Using a Wearable Eye-Tracking Device

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    openThe accurate estimation of gaze depth is crucial for enhancing the functionality of eye-tracking systems, particularly in applications requiring precise three-dimensional gaze localization. This thesis presents a comprehensive approach to real-time gaze depth estimation using Tobii Pro Glasses 3, leveraging machine learning algorithms and precise pupil detection methods. The study begins with a theoretical overview of eye vergence and pupil detection techniques, followed by the development of a regression model trained to estimate gaze depth from the pupil positions. The experimental setup includes real-time video decoding and the analysis of pupil positions to validate the model’s performance. This research contributes to the field of gaze tracking by providing a robust framework for real-time depth estimation, highlighting the importance of precise pupil detection and positional calibration. Future work will focus on refining the model for broader applications and exploring additional features to enhance the accuracy and applicability of gaze depth estimation systems.The accurate estimation of gaze depth is crucial for enhancing the functionality of eye-tracking systems, particularly in applications requiring precise three-dimensional gaze localization. This thesis presents a comprehensive approach to real-time gaze depth estimation using Tobii Pro Glasses 3, leveraging machine learning algorithms and precise pupil detection methods. The study begins with a theoretical overview of eye vergence and pupil detection techniques, followed by the development of a regression model trained to estimate gaze depth from the pupil positions. The experimental setup includes real-time video decoding and the analysis of pupil positions to validate the model’s performance. This research contributes to the field of gaze tracking by providing a robust framework for real-time depth estimation, highlighting the importance of precise pupil detection and positional calibration. Future work will focus on refining the model for broader applications and exploring additional features to enhance the accuracy and applicability of gaze depth estimation systems

    Analysis of Tangle, a directed acyclic graph used as a distributed ledger

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    openTangle è un protocollo basato su grafici aciclici diretti utilizzato come registro distribuito. A differenza dei protocolli basati su blockchain, con Tangle è possibile processare più transazioni in parallelo: infatti ogni utilizzatore può aggiungere nuovi nodi al grafo, validando allo stesso tempo delle transazioni precedenti. In questa analisi verranno approfonditi vari aspetti del protocollo: il funzionamento di base, i meccanismi per selezionare le tips a cui si aggiungeranno le nuove transazioni, alcune metriche di prestazione dell’algoritmo e infine gli aspetti relativi alla sicurezza del protocollo
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