Relevant bibliographies by topics / Application scoring

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Application scoring'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Application scoring"

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Ahmad, Rizwan, Ammara Liaquat, and Amna Liaquat. "ALVARADO SCORING SYSTEM;." Professional Medical Journal 25, no. 07 (2018): 1059–63. http://dx.doi.org/10.29309/tpmj/18.4611.

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Venugopalan, Vaishnavi, and Chaitanya Vyas. "Comparing and Scoring Selected Four Train Ticketing Mobile Phone Applications." Information Management and Business Review 8, no. 4 (2016): 33–40. http://dx.doi.org/10.22610/imbr.v8i4.1391.

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To find the best train ticket booking mobile application on the bases of application features. Four widely used mobile phone applications (Ixigo, MakeMyTrip, ClearTrip, and IRCTC) for railway ticket booking are selected and application features related to ease of download and use, rating, number of installs, etc. are compared. A practical attempt is made to book a train ticket using all these applications one by one and comparing features such as coach locator, platform locator, route map, fare break-up, showing seat availability, save and pre-fill passenger details, sort search list by train name/number, sort search list by journey duration, sort search list by class, train running status, etc. 1 point is allotted to the applications if a particular feature is available in the applications and 0 is allotted if the feature is not available. Sum of all the points is calculated separately for each application and then ranks are given from 1 to 4 considering the final score. Ixigo mobile application scores the highest among other three train ticketing mobile applications – MakeMyTrip, ClearTrip, and IRCTC. Features such as downloading applications via a miss call or SMS; downloading application from websites of Ixigo, MakeMyTrip, ClearTrip, and IRCTC; and sorting train search list by class on applications are not found in any of these four applications. Furthermore, features are grouped into groups such as – the features only available in top ranking Ixigo and the features not available in top ranking Ixigo but available in any or all other three applications. This research will be of a good value for mobile railway ticket booking application providers as competition is becoming acute and the booking pattern is shifting from using desktop or laptop to mobile phones and tablets.
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Lin, W., P. Kuo, M. Liu, C. Li, C. Lin, and S. Liang. "0434 Clinical Application of Computer Aided Cloud Sleep Scoring System." Sleep 43, Supplement_1 (2020): A166—A167. http://dx.doi.org/10.1093/sleep/zsaa056.431.

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Abstract Introduction According to a survey by World Sleep Society, 45% of the population suffered from sleep disorders. The best way to diagnose these patients is to use Polysomnography (PSG), recording their physiological signals throughout the night. Mostly, sleep technologists manually score sleep stages. Manual scoring is quite subjective and time-consuming. Although the technologist’s judgments are based on scoring standards of the American Academy of Sleep Medicine, fine-tuning scoring results because of different considerations in different sleep centers may be happened. In order to assess the consistency of scoring standards in sleep technologists, we tried to establish a cloud sleep scoring system and evaluate its feasibility in 4 sleep centers in southern Taiwan. Methods We constructed a computer-aided cloud sleep scoring system. Each sleep technologist could score the same test data of PSG online without being restricted by places and hardware equipment. After comparing scoring results of all participants, the scoring system could provide the following reports, including an overall agreement, agreement of each sleep stage and each sleep index. Besides, multi-person scoring results of each epoch with displaying physiological signals were analyzed. Results Seven sleep technologists from 4 hospitals in Tainan, Taiwan joined this study. Standard deviations (SDs) of each sleep stage included 2.64 in Wake stage, 6.90 in N1, 8.31 in N2, 6.87 in N3, 1.38 in REM, respectively. SDs of sleep indexes were 2.64 in sleep efficiency, 2.14 in sleep onset time, 8.35 in wake after sleep onset time, 10.03 in total sleep time, individually. The overall agreement was 89.6%. The satisfaction of this scoring system operation was 85.7%. Conclusion With the cloud sleep scoring system assistance, it was feasible to evaluate the scoring consistency among sleep technologists in different sleep centers. Support This work is supported by the Ministry of Science and Technology, Taiwan. (MOST 108-2634-F-006-012)
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ROGERS, PABLO, DANY ROGERS, and JOSÉ ROBERTO SECURATO. "ABOUT PSYCHOLOGICAL VARIABLES IN APPLICATION SCORING MODELS." Revista de Administração de Empresas 55, no. 1 (2015): 38–49. http://dx.doi.org/10.1590/s0034-759020150105.

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The purpose of this study is to investigate the contribution of psychological variables and scales suggested by Economic Psychology in predicting individuals’ default. Therefore, a sample of 555 individuals completed a self-completion questionnaire, which was composed of psychological variables and scales. By adopting the methodology of the logistic regression, the following psychological and behavioral characteristics were found associated with the group of individuals in default: a) negative dimensions related to money (suffering, inequality and conflict); b) high scores on the self-efficacy scale, probably indicating a greater degree of optimism and over-confidence; c) buyers classified as compulsive; d) individuals who consider it necessary to give gifts to children and friends on special dates, even though many people consider this a luxury; e) problems of self-control identified by individuals who drink an average of more than four glasses of alcoholic beverage a day.
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Hu, Wenbin, and Junzi Zhou. "Joint modeling: an application in behavioural scoring." Journal of the Operational Research Society 70, no. 7 (2018): 1129–39. http://dx.doi.org/10.1080/01605682.2018.1487821.

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Kaminskyi, Andrii, Maryna Nehrey, and Larysa Zomchak. "Machine learning methods application for consumer banking." SHS Web of Conferences 107 (2021): 12001. http://dx.doi.org/10.1051/shsconf/202110712001.

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Machine learning (ML) methods are effective tools for analysis of many actual problems in modern banking. Increasing growth of data and rapid digitalization underpin the acceleration of ML implementation. These processes are especially noticeable in consumer banking because banks have millions of the retail customers. The first goal of our research is to form an extended review ML application in consumer banking. From one side we have identified the most developed ML methods, which are applied in this segment (for example different types of regressions, fuzzy clustering, neural network, principal component analysis etc.). From the other side, we point out two multi-purpose tools used by banks in consumer segment intensively, namely scoring and clustering. Secondly, our goal is to present some innovative applications of ML methods to the analysis of each task. This includes several applications for scoring models and fuzzy clustering application. All applications are oriented to make banks business processes more effective. Considered applications were realised on real data from the Ukrainian banking industry.
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Willatts, Sheilam M. "The application of scoring systems in adultintensive care." Baillière's Clinical Anaesthesiology 4, no. 2 (1990): 253–69. http://dx.doi.org/10.1016/s0950-3501(05)80287-9.

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Novak, Michael P., and Eddy LaDue. "Application of Recursive Partitioning to Agricultural Credit Scoring." Journal of Agricultural and Applied Economics 31, no. 1 (1999): 109–22. http://dx.doi.org/10.1017/s0081305200028818.

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AbstractRecursive Partitioning Algorithm (RPA) is introduced as a technique for credit scoring analysis, which allows direct incorporation of misclassification costs. This study corroborates nonagricultural credit studies, which indicate that RPA outperforms logistic regression based on within-sample observations. However, validation based on more appropriate out-of-sample observations indicates that logistic regression is superior under some conditions. Incorporation of misclassification costs can influence the creditworthiness decision.
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SHPAER, EUGENE G. "DNA Scoring Matrices: Application to Detect Divergent Repeats." Microbial & Comparative Genomics 2, no. 1 (1997): 75–87. http://dx.doi.org/10.1089/omi.1.1997.2.75.

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Kallar, S. K., and F. Chung. "Practical Application of Postanesthetic Discharge Scoring System—PADS." Anesthesiology 77, Supplement (1992): A12. http://dx.doi.org/10.1097/00000542-199209001-00012.

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Dissertations / Theses on the topic "Application scoring"

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Aldgate, Hannah Jane. "Credit application scoring with Gaussian spatial processes." Thesis, Imperial College London, 2006. http://hdl.handle.net/10044/1/1256.

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Credit scoring has been described as the most successful application of statistical and operational research methods to financial problems in recent decades. In this thesis methods analogous to those used in spatial modelling and prediction are applied to the problem of application scoring, a branch of credit scoring that involves deciding whether or not to offer credit and how much credit to offer. In particular, Gaussian spatial process (GSP) models, commonly employed in disease mapping, geostatistics and design, are explored in an approach that is novel in the credit scoring field. Credit scoring methods are well established and usually involve computations of scores. By contrast, the focus of this work is to use best linear unbiased predictors in order to predict the probabilities of repayment for credit applications. A spatial structure for the model is provided by reformulating the data. Both theoretical and industry standard methods are used in order to assess the predictive competence of GSP models. In addition, the GSP model approach is compared with standard methods for application scoring and conclusions are made regarding the relevance of such models in this area
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Montgomery, Jedidiah Spencer. "A Privacy Risk Scoring Framework for Mobile." BYU ScholarsArchive, 2014. https://scholarsarchive.byu.edu/etd/4270.

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Protecting personal privacy has become an increasingly important issue as computers become a more integral part of everyday life. As people begin to trust more personal information to be contained in computers they will question if that information is safe from unwanted intrusion and access. With the rise of mobile devices (e.g., smartphones, tablets, wearable technology) users have enjoyed the convenience and availability of stored personal information in mobile devices, both in the operating system and within applications.For a mobile application to function correctly it needs permission or privileges to access and control various resources and controls on the mobile device. These permissions can range from location and account information to access to all storage on the mobile device. A single permission, or a combination of permissions, could lead to a high risk of potential privacy invasion. This privacy invasion risk can be amplified specifically for security applications when compared to non-security applications due to the administrative privileges that security applications frequently need to moderate and protect information on a mobile device. Currently there is no defined matrix or framework for analyzing privacy risks for any mobile platform, including the main mobile platforms of Android, iOS and Windows mobile.The purpose of this research is to create a framework for analyzing mobile application permissions and identify potentially invading permission. The framework produces a Privacy Invasion Profile (also known as a PIP) for each application, which can be used to compare the risk of privacy invasion for a specific application.
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MacElvee, Cameron. "The relationship between the application of scoring rubrics and writing performance." Diss., The University of Arizona, 2002. http://hdl.handle.net/10150/289775.

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The purpose of this study was to determine if a relationship exists between the knowledge and application of a writing scoring rubric to writing performance. Participants in a Minority Medical Education Program were given intense instruction in the use of the Medical Colleges Admissions Test Writing Sample scoring rubric. Scores from the participants' pretest and posttest were compared.
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Kirtay, Chrysi. "Development and application of a knowledge-based scoring function for virtual screening." Thesis, University of Cambridge, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.612957.

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Sim, Malcolm A. B. "The development and application of novel intelligent scoring systems in critical illness." Thesis, University of Glasgow, 2015. http://theses.gla.ac.uk/6512/.

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Scoring systems in medicine are not a new concept. There are examples from the early 1950s, from around the same time as the polio epidemic in Copenhagen resulted in the birth of modern Intensive Care. Many scores have subsequently been developed specifically for Intensive Care patients. The majority summarise the overall physiological state of the patient in a variety of different ways. A clinical interest in ascertaining whether haemodialysis causes cardiovascular instability in Intensive Care patients led to an initial simple experiment examining stability using a small number of cardiovascular parameters. It became apparent that to answer the question properly a physiologically based score which could be calculated automatically in real time, and which took into account the level of physiological or pharmacological support the patient was receiving would have to be developed, to counter or to mitigate the drawbacks of the main scoring systems in common use at the time. This thesis describes the development and first stage in the validation of a novel physiologically based scoring system for Intensive Care patients which overcomes some of the major disadvantages of existing scores. The score was then used to investigate other clinical questions. Myocardial damage in Intensive Care is common and associated with a poor outcome. Aspects of the developed score were used to ascertain if it is possible to detect and predict myocardial damage occurring in Intensive Care patients based on physiological disturbance rather than a rise in biomarkers. The score was subsequently used to examine Intensive Care patient outcomes. The introductory chapter describes the history of Intensive Care, the mechanism of data collection for patients in Scottish Intensive Care Units and its analysis to enable comparison of different units. Reviewing currently available scoring systems places this work in context and highlights the need for a new score. An overview of renal replacement therapy modalities follows, as an interest in cardiovascular stability during haemodialysis led to the idea for a new scoring system. Myocardial damage in Intensive Care patients is common and indicative of poorer outcomes. This is reviewed, as the developed score was used to detect and then predict where myocardial damage was occurring in critically ill patients, based on physiological disturbance rather than on raised biomarkers. In Chapter 2, data from dialysis sessions in critically ill patients was collected, prc-processed, and analysed for cardiovascular instability. Using an arbitrary definition of instability as a 20% change in mean arterial pressure or heart rate in either direction, 65% of dialysis sessions were stable and 35% unstable. This simple experiment suggested that haemodialysis is less cardiovascularly destabilising than previously believed. However a major deficiency was the lack of consideration of the level of physiological support required during dialysis. To investigate this and other clinical problems better, it became apparent that a new score would have to be developed. Chapter 3 describes the development of a novel quantitative score which takes into account the amount of physiological and pharmacological support a patient is receiving. Physiological parameters were separated into those recorded regularly and those recorded intermittently. They were subsequently divided into ranges, scoring increasing points depending upon the degree of derangement. Ranges were based on an extensive literature search, currently available scores, and clinical opinion. Two key parameters viz. mean arterial pressure and oxygen saturation, were then weighted against a range of factors which can either increase or decrease their value. A score of instability could then be calculated by adding points for the weighted and unweighted parameters. After reflection using common clinical scenarios, some of the points scored in different ranges and weightings were revised to give the final quantitative score. In Chapter 4, the quantitative score was tested against data sets from actual Intensive Care patients to produce graphs of overall cardiovascular stability against time. Although this approach did capture improvements and deteriorations it had several disadvantages. It captured the expertise of a single clinician only, gave an arbitrary number which could be difficult to interpret, and the emphasis given by the clinician to the relative importance of different physiological or pharmacological parameters would not be obvious to others. Clinical reflection led to a new approach to the problem, viz. the development of the 5 point qualitative scale described in Chapter 5. Chapter 5 describes the development of a 5 point qualitative score for cardiovascular instability, underpinned by complex physiological rules, and capturing the expertise of several senior Intensive Care Clinicians. This is the Intensive Care Unit - Patient Scoring System (ICU-PSS). I scored data sets comprising thousands of predominantly hourly commonly recorded physiological and pharmacological parameters on a 5 point scale of cardiovascular stability (A to E). I also described rules in the form of different parameter ranges to indicate why I had scored time points as stable (A) through to unstable (E). These rules were incorporated into a computer programme which scored unseen data sets which I also then scored. The computer’s predicted A to E score based on these rules and my own score were compared in a confusion matrix. Mismatches with the computer prediction (based on my initial rules) were analysed and I either rescored the data if I considered that I had not assigned the correct level of instability, or modified the rule base. Through this process clinical expertise was better captured. This process was repeated with two other clinicians using my rules as a starting point. This led to further refinements of the rule base. The result was a sophisticated set of rules underpinning a 5 point, easily understandable scale of cardiovascular stability crystallising the expertise of 3 senior Intensive Care clinicians. The ICU-PSS was tested in a discrimination experiment to ascertain if clinicians could agree with the score moving in a one step and two step change. This is the first stage in full validation of the score In Chapter 6, the first stage in the validation of the ICU-PSS is described, using 10 clinicians from a city teaching and a district general hospital. It was hypothesised that if they were shown two consecutive hourly time points of physiological data from real patients and asked whether they were improving or deteriorating, they should agree with the ICU-PSS score in more than 50% of cases (random chance). In two discrimination experiments the consultants were, in random order, shown 4 examples of each type of two step improvement or deterioration in the score, e.g. A to C, and 4 examples of each type of one step change, e.g. E to D. In the two step experiment there was 92.9% agreement with the score, and in the one step change experiment, 90.9% agreement. Both were highly statistically significant. Chapter 7 describes the first of the applications of the validated score. Myocardial damage is common in Intensive Care patients and is an independent risk factor for both short and long term mortality. The mechanism in Intensive Care patients is likely to be the so-called type II damage caused by extremes of physiological derangement leading to a myocardial oxygen supply and demand imbalance. I hypothesised that it should be possible to use aspects of the score to confirm and subsequently predict where this damage is occurs based on physiological disturbance alone rather than on a rise in cardiac biomarkers.
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Borodin, Dmitry. "Development and Application of Credit Scoring Models in Retail Decision-Making Processes of Financial Institutions." Master's thesis, Vysoká škola ekonomická v Praze, 2016. http://www.nusl.cz/ntk/nusl-264692.

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Usage of outputs from credit scoring models within decision-making process is often neglected in the existing literature. Nonetheless, it is a critical component of a successful lending process. This thesis introduces the concept of credit scoring and discusses steps typically employed within model development process. This thesis then provides an overview of how modeling outputs are typically used in lending. The thesis primarily focuses on definition of cut-offs points, policy and business rules, limit assignment and risk based pricing. The introduced approaches are modeled in the last part of the thesis.
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Nguyen, Ha Thu. "Credit Scoring et ses applications dans la gestion du risque du crédit." Thesis, Paris 10, 2016. http://www.theses.fr/2016PA100057.

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Alors que les modèles de credit scoring sont largement utilisés depuis plus de cinquante ans et sont considérés comme un outil indispensable dans la prise de décision dans d'innombrables institutions financières du monde entier, la littérature et les empiriques disponibles sur ce sujet restent encore très limitées. Notre objectif est de combler cette lacune en présentant une analyse approfondie sur les modèles de credit scoring et le processus de prise de décision d’octroi de crédit, avec diverses applications sur des données réelles et extensives provenant de différents pays. Notre thèse comporte trois chapitres. Chapitre 1 commence par présenter le processus de développement d’un modèle de credit scoring, et fournit une application sur des données réelles d'une banque de détail basée en France. Visant à donner de nouvelles perspectives sur les pays émergents, Chapitre 2 analyse le marché du crédit à la consommation en Chine et enquête sur l'utilisation des modèles de credit scoring dans un tel marché prometteur. Chapitre 3 va plus loin que la littérature méthodologique précédente et se concentre sur les différentes techniques d'inférence des refusés qui peuvent corriger le biais de sélection lors de la construction d'un modèle de crédit scoring basé uniquement sur les dossiers acceptés. Ces chapitres présentent les différents aspects du crédit scoring, pour lesquels les principales problématiques de credit scoring seront traitées<br>While credit scoring has been broadly used for more than fifty years and continued to be a great support on decision-making in countless businesses around the world, the amount of literature, especially empirical studies, available on this subject is still limited. Our aim in this thesis is to fill this gap by providing a profound analysis on credit scoring and credit decision processes, with various applications using real and extensive sets of data coming from different countries. The thesis is organized in three chapters. Chapter 1 starts by presenting the credit scoring development process, and provides an application to real data from a France-based retail bank. Aiming at providing new insights regarding emerging countries, Chapter 2 analyzes the Chinese consumer lending market and investigates the use of credit scoring in such a promising market. Chapter 3 goes further than the previous methodological literature and focuses on reject inference techniques which can be a way to address the bias when developing a credit-scoring model based solely on accepted applicants. These chapters provide a round tour on credit scoring, after which major issues in credit scoring are treated
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Voorduin, Raquel. "A non-parametric procedure to estimate a linear discriminant function with an application to credit scoring." Thesis, University of Warwick, 2004. http://wrap.warwick.ac.uk/3710/.

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The present work studies the application of two group discriminant analysis in the field of credit scoring. The view here given provides a completely different approach to how this problem is usually targeted. Credit scoring is widely used among financial institutions and is performed in a number of ways, depending on a wide range of factors, which include available information, support data bases, and informatic resources. Since each financial institution has its own methods of measuring risk, the ways in which an applicant is evaluated for the concession of credit for a particular product are at least as many as credit concessioners. However, there exist certain standard procedures for different products. For example, in the credit card business, when databases containing applicant information are available, usually credit score cards are constructed. These score cards provide an aid to qualify the applicant and decide if he or she represents a high risk for the institution or, on the contrary, a good investment. Score cards are generally used in conjunction with other criteria, such as the institution's own policies. In building score cards, generally parametric regression based procedures are used, where the assumption of an underlying model generating the data has to be made. Another aspect is that, in general, score cards are built taking into consideration only the probability that a particular applicant will not default. In this thesis, the objective will be to present a method of calculating a risk score that, does not depend on the actual process generating the data and that takes into account the costs and profits related to accepting a particular applicant. The ultimate objective of the financial institution should be to maximise profit and this view is a fundamental part of the procedure presented here.
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Chuddher, Bilal Akbar. "A novel knowledge discovery based approach for supplier risk scoring with application in the HVAC industry." Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/11628.

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This research has led to a novel methodology for assessment and quantification of supply risks in the supply chain. The research has built on advanced Knowledge Discovery techniques and has resulted to a software implementation to be able to do so. The methodology developed and presented here resembles the well-known consumer credit scoring methods as it leads to a similar metric, or score, for assessing a supplier’s reliability and risk of conducting business with that supplier. However, the focus is on a wide range of operational metrics rather than just financial, which credit scoring techniques typically focus on. The core of the methodology comprises the application of Knowledge Discovery techniques to extract the likelihood of possible risks from within a range of available datasets. In combination with cross-impact analysis, those datasets are examined for establish the inter-relationships and mutual connections among several factors that are likely contribute to risks associated with particular suppliers. This approach is called conjugation analysis. The resulting parameters become the inputs into a logistic regression which leads to a risk scoring model the outcome of the process is the standardized risk score which is analogous to the well-known consumer risk scoring model, better known as FICO score. The proposed methodology has been applied to an Air Conditioning manufacturing company. Two models have been developed. The first identifies the supply risks based on the data about purchase orders and selected risk factors. With this model the likelihoods of delivery failures, quality failures and cost failures are obtained. The second model built on the first one but also used the actual data about the performance of supplier to identify risks of conducting business with particular suppliers. Its target was to provide quantitative measures of an individual supplier’s risk level. The supplier risk scoring model is tested on the data acquired from the company for its performance analysis. The supplier risk scoring model achieved 86.2% accuracy, while the area under curve (AUC) was 0.863. The AUC curve is much higher than required model’s validity threshold value of 0.5. It represents developed model’s validity and reliability for future data. The numerical studies conducted with real-life datasets have demonstrated the effectiveness of the proposed methodology and system as well as its future potential for industrial adoption.
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Mozziconacci, Jean-Christophe. "Développement et application de méthodes de drug design : combinaison des approches de docking-scoring et de QSAR." Orléans, 2003. http://www.theses.fr/2003ORLE2039.

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En introduction, les méthodes couramment employées pour le criblage virtuel et les caractéristiques des chimiothèques criblées sont présentées. Premièrement, des modèles de Relation Quantitative Structure-Activité pour les sous-types de récepteurs de la mélatonine MT1 et MT2 ont été construits par 7 techniques qualitatives et quantitatives et des descripteurs 2D. Ces modèles ont été comparés et validés. Les meilleurs ont été combinés selon une approche consensus. Ensuite, une structure de la cyclooxygénase-2 cristallisée a été exploitée pour le criblage virtuel par un protocole docking-scoring, dont les paramètres ont été optimisés. Celui-ci a été appliqué au criblage d'une grande chimiothèque. Plusieurs des molécules sélectionnées se sont révélées actives. Enfin, l'approche de docking-scoring et celle de QSAR ont été comparées sur les mêmes ensembles d'inhibiteurs COX-2. Leurs forces et faiblesses ont été dégagées et leur combinaison envisagée pour profiter de leur complémentarité.
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Books on the topic "Application scoring"

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Whitney-Mahoney, Kristi Jane. Measurement properties of the childhood health assessment questionnaire with the application of alternative scoring strategies. National Library of Canada, 2002.

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Nguyen, Ken, Xuan Guo, and Yi Pan. Multiple Biological Sequence Alignment: Scoring Functions, Algorithms and Applications. John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119273769.

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The mortgage brokers guide to lending: A real world guide to understanding: the credit application, loan programs, how to get referrals, qualifying borrowers, credit scoring, underwriting, disclosures, rate sheets, and much more for the novice and experienced mortgage broker. Mortgage Planning Solutions, 2005.

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Bardos, Mireille, and Jean-Paul Rasson. Analyse discriminante : Application au risque et au scoring financier. Dunod, 2001.

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Credit Scoring and Its Applications. Society for Industrial and Applied Mathematics, 2017.

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Credit Scoring & Its Applications (Monographs on Mathematical Modeling and Computation). Society for Industrial Mathematics, 2002.

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Wainer, Howard, Eric T. Bradlow, and Xiaohui Wang. Testlet Response Theory and Its Applications. Cambridge University Press, 2007.

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Wainer, Howard, Eric T. Bradlow, and Xiaohui Wang. Testlet Response Theory and Its Applications. Cambridge University Press, 2007.

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Riegel, Fernando, Maria da Graça Oliveira Crossetti, and Peter A. Facione. Modelo teórico para mensuração do pensamento crítico holístico no ensino do processo diagnóstico de enfermagem. Brazil Publishing, 2021. http://dx.doi.org/10.31012/978-65-5861-321-3.

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The theoretical model book for measuring holistic critical thinking (PCH) in the teaching of the nursing diagnostic process (PDE) highlights the complexity of the PDE based on the application of the PCH of nursing students in face of the requirement of making accurate clinical decisions; in addition, it demonstrates the applicability of the Holistic Critical Thinking Scoring Rubric (HCTSR) instrument authored by professors Peter A. Facione and Noreen Facione; for the assessment of holistic critical thinking in nursing and health, becoming an important diagnostic and formative assessment tool at different levels of education, which can contribute to the advancement of nursing science with regard to the training of critical nurses and reflective in the application of the nursing diagnostic process that is structured in the stages of investigation, interpretation and nursing diagnoses with a view to making accurate nursing decisions. To reach these stages, the nurse must develop skills of holistic critical thinking (PCH), in order to make decisions focused on the best results. Based on this theoretical model, it will be possible to implement different strategies to develop holistic critical thinking in teaching the diagnostic process according to the students' PCH level.
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(Editor), L. C. Thomas, J. N. Cook (Editor), and D. B. Edelman (Editor), eds. Credit Scoring and Credit Control (Institute of Mathematics and Its Applications Conference Series New Series). Oxford University Press, USA, 1992.

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Book chapters on the topic "Application scoring"

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Mehdiyev, Nihad. "Application of Fuzzy TOPSIS for Credit Scoring." In Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23756-1_93.

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Castro-Castro, Daniel, Rocío Lannes-Losada, Montse Maritxalar, et al. "A Multilingual Application for Automated Essay Scoring." In Advances in Artificial Intelligence – IBERAMIA 2008. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-88309-8_25.

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Bonilla, María, Ignacio Olmeda, and Rosa Puertas. "An Application of Hybrid Models in Credit Scoring." In Financial Modelling. Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-642-57652-2_5.

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Kottath, Anu V., and Prince V. Jose. "DIBSM: Dominance on Incomplete Big Data Using Scoring Method." In Innovative Data Communication Technologies and Application. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9651-3_1.

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Zhang, Leilei, and Xiaofeng Hui. "Application of Support Vector Machines Method in Credit Scoring." In Advances in Soft Computing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01216-7_30.

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Zhang, Yihao, Mehmet A. Orgun, Rohan Baxter, and Weiqiang Lin. "An Application of Element Oriented Analysis Based Credit Scoring." In Advances in Data Mining. Applications and Theoretical Aspects. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14400-4_42.

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Bedingfield, Susan E., and Kate A. Smith. "Evolutionary Rule Generation and its Application to Credit Scoring." In Soft Computing in Measurement and Information Acquisition. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-36216-6_18.

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Yan, Rui, Fan Li, Xiaoyu Wang, Tapani Ristaniemi, and Fengyu Cong. "Automatic Sleep Scoring Toolbox and Its Application in Sleep Apnea." In E-Business and Telecommunications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52686-3_11.

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Liu, Chengyong, Hueiling Huang, and Shangqian Lu. "Research on Personal Credit Scoring Model Based on Artificial Intelligence." In Application of Intelligent Systems in Multi-modal Information Analytics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15740-1_64.

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Bresnick, G. H., T. Benzschawel, and M. Palta. "Colour Vision Deficit in Diabetic Retinopathy: Application of Kitahara Scoring Technique." In Colour Vision Deficiencies VIII. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-4275-2_56.

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Conference papers on the topic "Application scoring"

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Nakagawa, Masaki, Narcis Lozano, and Hideto Oda. "Paper Architecture and an Exam Scoring Application." In 2007 1st International Workshop on Pen-Based Learning Technologies (PLT). IEEE, 2007. http://dx.doi.org/10.1109/plt.2007.15.

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Shu-an Liu, Qing Wang, and Shuai Lv. "Application of Genetic Programming in credit scoring." In 2008 Chinese Control and Decision Conference (CCDC). IEEE, 2008. http://dx.doi.org/10.1109/ccdc.2008.4597485.

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Veilleux, N. M., and M. Ostendorf. "Prosody/parse scoring and its application in ATIS." In the workshop. Association for Computational Linguistics, 1993. http://dx.doi.org/10.3115/1075671.1075749.

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Jiang, Minghui, and Shan Lin. "Construction and Application of ART on Personal Credit Scoring." In 2010 International Conference on Digital Manufacturing and Automation (ICDMA). IEEE, 2010. http://dx.doi.org/10.1109/icdma.2010.202.

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Yun, Ling, Qiu-yan Cao, and Hua Zhang. "Application of the PSO-SVM Model for Credit Scoring." In 2011 Seventh International Conference on Computational Intelligence and Security (CIS). IEEE, 2011. http://dx.doi.org/10.1109/cis.2011.19.

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Han, Song, Chaoteng Zhong, Juyan Ba, Guangsong Yang, and Qiubo Ye. "Application of Subtraction Technology in Automatic Target-scoring System." In ICIGP 2020: 2020 3rd International Conference on Image and Graphics Processing. ACM, 2020. http://dx.doi.org/10.1145/3383812.3383816.

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Demajo, Lara Marie, Vince Vella, and Alexiei Dingli. "Explainable AI for Interpretable Credit Scoring." In 10th International Conference on Advances in Computing and Information Technology (ACITY 2020). AIRCC Publishing Corporation, 2020. http://dx.doi.org/10.5121/csit.2020.101516.

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With the ever-growing achievements in Artificial Intelligence (AI) and the recent boosted enthusiasm in Financial Technology (FinTech), applications such as credit scoring have gained substantial academic interest. Credit scoring helps financial experts make better decisions regarding whether or not to accept a loan application, such that loans with a high probability of default are not accepted. Apart from the noisy and highly imbalanced data challenges faced by such credit scoring models, recent regulations such as the `right to explanation' introduced by the General Data Protection Regulation (GDPR) and the Equal Credit Opportunity Act (ECOA) have added the need for model interpretability to ensure that algorithmic decisions are understandable and coherent. An interesting concept that has been recently introduced is eXplainable AI (XAI), which focuses on making black-box models more interpretable. In this work, we present a credit scoring model that is both accurate and interpretable. For classification, state-of-the-art performance on the Home Equity Line of Credit (HELOC) and Lending Club (LC) Datasets is achieved using the Extreme Gradient Boosting (XGBoost) model. The model is then further enhanced with a 360-degree explanation framework, which provides different explanations (i.e. global, local feature-based and local instance-based) that are required by different people in different situations. Evaluation through the use of functionallygrounded, application-grounded and human-grounded analysis show that the explanations provided are simple, consistent as well as satisfy the six predetermined hypotheses testing for correctness, effectiveness, easy understanding, detail sufficiency and trustworthiness.
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Çağlayan Akay, Ebru, and Zamira Oskonbaeva. "An Application of Panel Ordered Probit Model to Credit Scoring." In International Conference on Eurasian Economies. Eurasian Economists Association, 2018. http://dx.doi.org/10.36880/c10.02052.

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Ratings are important in attracting foreign capital so they play a great role in the financial system of a country. The aim of the study is to investigate the impact of macroeconomic indicators on sovereign credit ratings assigned by Fitch. For this aim Panel ordered probit model was applied to the annual data from 2000 to 2011. The analysis rests on panel of 44 countries. According to the results obtained it can be concluded that gross domestic product growth rate , per capita gross domestic product, unemployment, export, default history and the level of economic development significantly affect ratings.
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Madar, Laszlo. "Extension Of Bank Application Scoring Model With Big Data Analysis." In 31st Conference on Modelling and Simulation. ECMS, 2017. http://dx.doi.org/10.7148/2017-0550.

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Zhou, Hanhai, Jinjin Wang, Jiadong Wu, Long Zhang, Peng Lei, and Xiaoyun Chen. "Application of the Hybrid SVM-KNN Model for Credit Scoring." In 2013 Ninth International Conference on Computational Intelligence and Security (CIS). IEEE, 2013. http://dx.doi.org/10.1109/cis.2013.43.

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Reports on the topic "Application scoring"

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Enghauser, Michael. Algorithm improvement program nuclide identification algorithm scoring criteria and scoring application. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1366784.

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Enghauser, Michael. Algorithm Improvement Program Nuclide Identification Algorithm Scoring Criteria And Scoring Application - DNDO. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1170289.

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Veillux, N. M., and M. Ostendorf. Prosody/Parse Scoring and Its Application in ATIS. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada458549.

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Tatsuoka, Kikumi K., and Kentaro Yamamoto. Application of Component Scoring to a Complicated Cognitive Domain. Defense Technical Information Center, 1985. http://dx.doi.org/10.21236/ada157897.

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Overbay, Larry, and George Robitaille. Standardized UXO Technology Demonstration Site Open Field Scoring Recording Number 231 (Human Factors Applications, Inc.). Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada440249.

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Rukundo, Solomon. Tax Amnesties in Africa: An Analysis of the Voluntary Disclosure Programme in Uganda. Institute of Development Studies (IDS), 2020. http://dx.doi.org/10.19088/ictd.2020.005.

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Tax amnesties have taken centre stage as a compliance tool in recent years. The OECD estimates that since 2009 tax amnesties in 40 jurisdictions have resulted in the collection of an additional €102 billion in tax revenue. A number of African countries have introduced tax amnesties in the last decade, including Nigeria, Namibia, South Africa and Tanzania. Despite their global popularity, the efficacy of tax amnesties as a tax compliance tool remains in doubt. The revenue is often below expectations, and it probably could have been raised through effective use of regular enforcement measures. It is also argued that tax amnesties might incentivise non-compliance – taxpayers may engage in non-compliance in the hope of benefiting from an amnesty. This paper examines the administration of tax amnesties in various jurisdictions around the world, including the United States, Australia, Canada, Kenya and South Africa. The paper makes a cost-benefit analysis of these and other tax amnesties – and from this analysis develops a model tax amnesty, whose features maximise the benefits of a tax amnesty while minimising the potential costs. The model tax amnesty: (1) is permanent, (2) is available only to taxpayers who make a voluntary disclosure, (3) relieves taxpayers of penalties, interest and the risk of prosecution, but treats intentional and unintentional non-compliance differently, (4) has clear reporting requirements for taxpayers, and (5) is communicated clearly to attract non-compliant taxpayers without appearing unfair to the compliant ones. The paper then focuses on the Ugandan tax amnesty introduced in July 2019 – a Voluntary Disclosure Programme (VDP). As at 7 November 2020, this initiative had raised USh16.8 billion (US$6.2 million) against a projection of USh45 billion (US$16.6 million). The paper examines the legal regime and administration of this VDP, scoring it against the model tax amnesty. It notes that, while the Ugandan VDP partially matches up to the model tax amnesty, because it is permanent, restricted to taxpayers who make voluntary disclosure and relieves penalties and interest only, it still falls short due to a number of limitations. These include: (1) communication of the administration of the VDP through a public notice, instead of a practice note that is binding on the tax authority; (2) uncertainty regarding situations where a VDP application is made while the tax authority has been doing a secret investigation into the taxpayer’s affairs; (3) the absence of differentiated treatment between taxpayers involved in intentional non-compliance, and those whose non-compliance may be unintentional; (4) lack of clarity on how the VDP protects the taxpayer when non-compliance involves the breach of other non-tax statutes, such as those governing financial regulation; (5)absence of clear timelines in the administration of the VDP, which creates uncertainty;(6)failure to cater for voluntary disclosures with minor errors; (7) lack of clarity on VDP applications that result in a refund position for the applicant; and (8) lack of clarity on how often a VDP application can be made. The paper offers recommendations on how the Ugandan VDP can be aligned to match the model tax amnesty, in order to gain the most from this compliance tool.
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