1,720,957 research outputs found

    A VISUAL EXPLORATION FRAMEWORK FOR EXPLAINABLE DEEP REINFORCEMENT LEARNING

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    Understanding how Reinforcement Learning (RL) agents make decisions remains a critical challenge in advancing transparent and trustworthy artificial intelligence (AI). Explainable AI (XAI) methods have been introduced to open the black-box models. However, XAI in RL is under-explored due to the challenges such as temporal dependencies, sequential decision-making, and dynamic policies. Moreover, most XAI methods focus on mathematical or feature-based explanations, which is non-intuitive and challenging for end-users who benefit from AI on a regular basis. This dissertation addresses these gaps by developing a visual-based exploration framework that extends traditional XAI toward interactive storytelling to enhance the interpretability and understanding of Deep RL (DRL). This approach used Bag of Pattern (BoP) to capture temporal policy summaries and recurring behavioral patterns over time along with their contributions to rewards. These extracted patterns provide valuable behavioral training insights, reveal how agent behavior evolves during learning, and suggest indicators for convergence and potential early stopping in DRL. The proposed tool supports both experts and end-users offering analytical insights and intuitive, human-centered visual explanations to enhance trustworthiness. Through case studies across environments with increasing complexity, the research demonstrates how visual storytelling can bridge the gap between agent decisions and human understanding

    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

    Author Index

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    ÖRGÜTSEL PERFORMANS ÖLÇÜTLERİ BAZINDA BAYİLERE ÖNCELİK VERİLMESİ İÇİN BÜTÜNLEŞİK BİR YAKLAŞIM

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    Farklı coğrafi bölgelerde hizmet vermek için bayilik sistemini kullanan büyük ölçekli kuruluşlar, tüm bayilerinde aynı hizmet kalitesini ve verimliliğini sağlamak için bayilerin performansını çeşitli göstergelere göre ölçmeli ve değerlendirmelidir. Bu kuruluşların, kurumsal performans kriterleri adı verilen bu göstergeleri dikkate alarak bayilerin performansını değerlendirmeleri gerekir. İşletmelerin rekabetçi bir iş ortamında varlığını sürdürebilmek için bayilerin örgütsel performans kriterlerine göre sıralanması ve verimsiz olanların belirlenmesi çok önemlidir. Bu çalışmada, bahsedilen sorunu çözmek için iki aşamalı bir bütünleşik yaklaşım kullanılmıştır. Çalışmanın ilk aşamasında örgütsel performans kriterlerinin ağırlığını belirlemek için Bulanık Analitik Hiyerarşi Süreci (FAHP) yöntemi kullanılmıştır. Bir sonraki aşamada ise bayiiler alternatif olarak değerlendirilmişir. Bayiler, alternatifler arasındaki ikili üstünlük karşılaştırmasına dayanan PROMETHEE yöntemi kullanılarak performans kriterlerine göre sıralanmıştır. Örgütsel yapılarda ele alınan seçim kriterlerinin bazılarının dilsel ifadesi daha doğru bir sonuç doğurabilmektedir. Bu nedenle, bu çalışmada ölçütlerin ağırlıklandırılmasında bulanık mantık kullanılması uygun olarak kabul edilmektedir. PROMETHEE yönteminin görselleştirme araçları sayesinde sonuçlar daha anlaşılır hale geldiği için alternatiflerin sıralanmasında ise PROMETHEE yöntemi kullanılmıştır.Large-scale organizations using the dealership system to serve in different geographic regionsshould measure and assess the performance of dealers according to various indicators to ensurethe same service quality and efficiency of all dealers. These organizations need to evaluate theperformance of the dealers by considering these indicators, called organizational performancecriteria (like efficacy, efficiency, ethics etc.) In order to maintain the existence of the enterprises ina competitive business environment, the ranking of the dealers in terms of the organizationalperformance measurements and determining the unproductive ones to carry out research forthese cases is very important. In this study, a two-stage integrated framework was used to solvethe problem. In the first stage of the study, the Fuzzy Analytic Hierarchy Process (FAHP) methodwas used to determine the weight of organizational performance criteria. Used scale in the fuzzyAHP section of this study, based on triangular fuzzy numbers. In the next stage, the decision matrixwas constructed by taking the dealers as an alternative. Using the PROMETHEE I and II methods,that is based upon the pairwise superiority comparison between the alternatives, dealers wereranked according to the performance criteria. Within the scope of this study, seven dealers werecompared on the basis of four organizational performance criteria. There is no accuracy in theorganizational structures within the framework of the choice criteria and the linguistic expressionof some of the choice criteria handled at the same time induce a more precise conclusion. Thus,within this study, to employ fuzzy logic in weighting the criteria is considered appropriate. Theresults were made more comprehensible thanks to visualization tools of PROMETHEE method

    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We 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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