scholarly journals gmd-2020-286 - Short Comment to upload 2 versions of the model source code

2020 ◽  
Author(s):  
Basit Khan
Keyword(s):  
Source Code ◽  
Model Source ◽  
Short Comment

Shouldn’t a Model “Know” Its Own ID?: Banks Can Significantly Improve Their Model Discipline by Embedding One Critical Piece of Information

2018 ◽  
Keyword(s):  
Source Code ◽  
Geographic Region ◽  
Financial Industry ◽  
Legal Entity ◽  
Root Cause ◽  
Model Source ◽  
Actual Model ◽  
Incomplete Model ◽  
Embedded Model

The unique IDs that firms assign to all important models typically appear in just three places: model documents, validation documents, and model inventory databases. Where the IDs do not, as a rule, appear is within the actual model source code. Incomplete model inventory information (including usage) is a chronic issue throughout the financial industry. Few firms can accurately answer such vexing questions as how many times each model in inventory was executed during the last year, which models exhibit significant seasonality, which models are used in each geographic region or legal entity, or whether any unvalidated models were used during the last year on any firm computer. This article will demonstrate that a root cause of model usage opacity is, unfortunately, that most models do not actually know who they are. This article will further explain how software-embedded model IDs can be leveraged to increase transparency and address some of the most difficult questions that may be posed about model usage.

scholarly journals Publication of Decision Model Source Code: Attitudes of Health Economics Authors

2019 ◽  
Vol 37 (11) ◽  
pp. 1409-1410 ◽  
Author(s):  
Joanna Emerson ◽  
Rachel Bacon ◽  
Alma Kent ◽  
Peter J. Neumann ◽  
Joshua T. Cohen
Keyword(s):  
Health Economics ◽  
Decision Model ◽  
Source Code ◽  
Model Source

scholarly journals Bayesian Linear Regression: Teaching resources and software

2021 ◽  
Author(s):  
soumya banerjee
Keyword(s):  
Linear Regression ◽  
Data Science ◽  
Bayesian Models ◽  
Source Code ◽  
Sparse Data ◽  
Teaching Resources ◽  
Model Source ◽  
Bayesian Linear Regression

Bayesian models are very important in modern data science. These models can be used to derive estimatesfor noisy and sparse data. This manuscript outlines the basics and derivations of a Bayesian linearregression model. Source code for performing Bayesian linear regression is also provided. I hope thisresource will enable broader understanding of the basics of Bayesian models.

scholarly journals Correction to: Publication of Decision Model Source Code: Attitudes of Health Economics Authors

2019 ◽  
Vol 37 (11) ◽  
pp. 1411-1411
Author(s):  
Joanna Emerson ◽  
Rachel Bacon ◽  
Alma Kent ◽  
Peter J. Neumann ◽  
Joshua T. Cohen
Keyword(s):  
Health Economics ◽  
Decision Model ◽  
Source Code ◽  
Model Source

SISTEM INFORMASI MANAJEMEN PENGARSIPAN BERBASIS FRAMEWORK CODE IGNITER UNTUK MENTERTIBKAN PELAYANAN SURAT MENYURAT

2019 ◽  
Vol 2 (1) ◽  
pp. 1-16
Author(s):  
Nana Suarna
Keyword(s):  
Source Code ◽  
Web Based

Seiring waktu, jumlah surat dalam sebuah perusahaan semakin hari makin banyak, sehingga muncul permasalahan dalam mengelolanya administrasi suarat, baik ketika dalam pencatatan surat maupun proses disposisi, serta pada saat pencarian arsip surat. Hampir sebagai besar surat yang ada di kantor-kantor masih disimpan dalam bentuk file-file yang masih bersifat manual, sehingga memungkinkan surat tersebut menunpuk, dan memerlukan waktu yang lama dalam pencarian dan pemrosesannya. Dengan dibangunnya  sistem manajemen pengarsipan bertujuan untuk mengatasi permasalahan-permasalahan tersebut di atas. Pemrograman  saat ini, baik desktop maupun web based, semakin marak  pengerjaannya menggunakan framework code igniter berbasis PHP. Framework CI memang dikembangkan untuk memudahkan dalam developing aplikasi dengan struktur  file source code-nya menggunakan pendekatan Models-Views-Controller (MVC) dan pemrograman berorientasi objek, oleh sebab itu penulis menggunakan CI dalam developing aplikasi ini. Aplikasi sistem manajemen surat dan pengarsipan ini dapat diakses dalam internal perusahaan web, yang bertujuan untuk memudahkan karyawan  dalam pengelolaan dan  mengaksesnya surat menyurat, selain itu aplikasi ini juga memberikan kemudahan dalam proses pencatatan surat,  disposisi, dan proses pencarian sehingga aplikasisi ini memiliki performa yang handal, mudah untuk di-maintenance dan dikembangkan lebih lanjut seiring perkembangan kebutuhan penggunanya.

Impact of Clone Refactoring on External Quality Attributes of Open Source Softwares

2018 ◽  
pp. 86-94
Author(s):  
Himanshi Vashisht ◽  
Sanjay Bharadwaj ◽  
Sushma Sharma
Keyword(s):  
Open Source ◽  
Internal Structure ◽  
Software Quality ◽  
Source Code ◽  
Quality Attributes ◽  
Software Component ◽  
External Quality ◽  
Code Refactoring ◽  
Observable Behaviour

Code refactoring is a “Process of restructuring an existing source code.”. It also helps in improving the internal structure of the code without really affecting its external behaviour”. It changes a source code in such a way that it does not alter the external behaviour yet still it improves its internal structure. It is a way to clean up code that minimizes the chances of introducing bugs. Refactoring is a change made to the internal structure of a software component to make it easier to understand and cheaper to modify, without changing the observable behaviour of that software component. Bad smells indicate that there is something wrong in the code that have to refactor. There are different tools that are available to identify and emove these bad smells. A software has two types of quality attributes- Internal and external. In this paper we will study the effect of clone refactoring on software quality attributes.

A practical approach on non-regular sampling and universal demosaicing of raw image sensor data

2020 ◽  
Vol 2020 (1) ◽  
pp. 91-95
Author(s):  
Philipp Backes ◽  
Jan Fröhlich
Keyword(s):  
Image Quality ◽  
Source Code ◽  
Image Sensor ◽  
Sensor Data ◽  
Color Filter ◽  
Lowpass Filter ◽  
Sampling Errors ◽  
Regular Sampling ◽  
Single Sensor ◽  
Similar Image Quality

Non-regular sampling is a well-known method to avoid aliasing in digital images. However, the vast majority of single sensor cameras use regular organized color filter arrays (CFAs), that require an optical-lowpass filter (OLPF) and sophisticated demosaicing algorithms to suppress sampling errors. In this paper a variety of non-regular sampling patterns are evaluated, and a new universal demosaicing algorithm based on the frequency selective reconstruction is presented. By simulating such sensors it is shown that images acquired with non-regular CFAs and no OLPF can lead to a similar image quality compared to their filtered and regular sampled counterparts. The MATLAB source code and results are available at: http://github. com/PhilippBackes/dFSR

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