1,720,986 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Power and Performance Characterization of Machine Learning Algorithms on GPUs
No full textIn this thesis research, we present a detailed analysis of the performance and power consumption of three popular machine learning algorithms, including LSTM (Long Short-Term Memory), BERT (Bidirectional Encoder Representations from Transformers), and RESNET50 (50-layer convolutional neural network) running on GPUs (Graphics Processing Units). More specifically, we collected data including runtime, power consumption, memory activity, performance (in terms of FLOPS, floating-point operations per second), and bandwidth by using tools like nvidia-smi and Rocm-smi on NVIDIA's Tesla V100 GPU architecture and AMD's MI210 GPU architecture for a wide range of frequencies across different runs for LSTM, BERT, and RESNET algorithms. Based on data collection and data aggregation, we have analyzed and investigated the impact of DVFS (Dynamic Voltage and Frequency Scaling) on the application's performance and power consumption. Our findings provide valuable insights into optimizing efficiency in GPU-based systems, which can help the configuration of systems and the development of more energy-efficient machine learning applications to achieve the desired balance between performance and power consumption
Real-Time Sound Visualization
Full text linkSound plays a vital role in every aspect of human life since it is one of the primary sensory information that our auditory system collects and allows us to perceive the world. The human nervous system is so adept at hearing the differences between sounds. However, sound clustering and visualization is the most significant challenge, which is understanding how to recognize complex, high-dimensional audio data. Nowadays, sound clustering and visualization is the process of collecting and analyzing audio samples; that process is a prerequisite of sound classification which is the core of automatic speech recognition, virtual assistants, and text to speech applications. In this thesis, I propose a web-based platform to visualize and cluster similar sound samples like music notes and human speech in real-time. For visualizing high-dimensional data like audio, Mel-Frequency Cepstral Coefficients (MFCCs) were initially developed to represent the sounds made by the human vocal tract are extracted. Then, t-distributed Stochastic Neighbor Embedding (t-SNE), a dimensionality reduction technique was designed for high dimensional datasets is applied—finally, the proposed classification task performed by feeding a pre-built neural network as a classifier tool. The proposed platform also handles the problematic task that cluster similar audio samples played by musical instruments in the same family such as oboe and saxophone. The clustering results exhibit well accuracy; thus, enhancing the feasibility of the proposed approach
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
Copula regression and robustness
Full text linkThis thesis aims to study the application of copula-based regression method and its robustness. In the first chapter, we will briefly review the fundamentals of copula theory with some important results. For the second chapter, we will combine some copula selection criteria and then simulate data sets from different kinds of copulas and apply the copula-based regression method on these data sets and demonstrate why it performs better than the non-parametric regression method.
Subsequently, the third chapter will be the application on a real data set. Moreover, we will check the model's adequacy using another result from the goodness of fit for the copula models and apply the copula-based regression method to build a confidence interval of the prediction values. Finally, we will analyze and draw conclusion from these results and make some further research suggestions.Embargo status: Restricted until August 2023. To request access, contact the author-- https://www.researchgate.net/publication/332736848_Robust_Predictive_Model_Using_Copula
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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