Reviewerly/exHarmony huggingface dataset:
Toward Fairness, Morality and Transparency in Artificial Intelligence through Experiential AI

October 01 2019 Toward Fairness, Morality and Transparency in Artificial Intelligence through Experiential AI Drew Hemment, Drew Hemment University of Edinburgh, Email: drew.hemment@ed.ac.uk Search for other works by this author on: This Site Google Scholar Vaishak Belle, Vaishak Belle University of Edinburgh Search for other works by this author on: This Site Google Scholar Ruth Aylett, Ruth Aylett Heriot-Watt University Search for other works by this author on: This Site Google Scholar Dave Murray-Rust, Dave Murray-Rust University of Edinburgh Search for other works by this author on: This Site Google Scholar Larissa Pschetz, Larissa Pschetz University of Edinburgh Search for other works by this author on: This Site Google Scholar Frank Broz Frank Broz Heriot-Watt University Search for other works by this author on: This Site Google Scholar Author and Article Information Drew Hemment University of Edinburgh, Email: drew.hemment@ed.ac.uk Vaishak Belle University of Edinburgh Ruth Aylett Heriot-Watt University Dave Murray-Rust University of Edinburgh Larissa Pschetz University of Edinburgh Frank Broz Heriot-Watt University Online Issn: 1530-9282 Print Issn: 0024-094X ©2019 ISAST2019ISAST Leonardo (2019) 52 (5): 426. https://doi.org/10.1162/leon_a_01795 Cite Icon Cite Permissions Share Icon Share Facebook Twitter LinkedIn MailTo Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Drew Hemment, Vaishak Belle, Ruth Aylett, Dave Murray-Rust, Larissa Pschetz, Frank Broz; Toward Fairness, Morality and Transparency in Artificial Intelligence through Experiential AI. Leonardo 2019; 52 (5): 426. doi: https://doi.org/10.1162/leon_a_01795 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsLeonardo Search Advanced Search This content is only available as a PDF. ©2019 ISAST2019ISAST Article PDF first page preview Close Modal You do not currently have access to this content.
Neural Network

Deep learning model is composed of several layers of neural networks. Therefore, the basic concepts and terminology of a neural network are introduced. The simplest neural network model is introduced and used in the latter part of this book. Then, a full neural network model is described. The parameter estimation procedure employing backward propagation is also explained.
Particle Swarm Optimization based Feature Selection with Evolutionary Outlay-Aware Deep Belief Network Classifier (PSO-EOA-DBNC) for High Dimensional Datasets

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Adaptive LSB Substitution and Combination of LSB Substitution, PVD, and EMD

This chapter describes two types of steganography techniques: (1) adaptive LSB substitution and (2) combination of LSB substitution, PVD, and exploiting modification directions (EMD). The adaptive LSB substitution technique embeds a variable number of bits in different pixel blocks depending on the smoothness of the block. This improves the security and reduces the distortion. In the second technique, the LSB substitution, PVD, and exploiting modification directions (EMD) principles are judiciously combined in pixel blocks to get higher embedding capacity, lesser distortion, and improved security. These hybrid techniques survive from both RS analysis and pixel difference histogram (PDH) analysis.
Application of CBIR in E-commerce

The rise of technology and the rapidly increasing inventions in Science have completely changed many aspects of the world today. Many sectors such as communication, banking, media, etc. have gained momentum because of the internet. Online shopping is one such sector that has flourished in recent times because of the internet. This paper presents a method which employs the system of Content Based Image Retrieval (CBIR) in online shopping. Using this system, the time required to shop online will be reduced. CBIR is the activity of fetching images from the database which have some similarity to the given query image. Traditionally customers would have to search from different categories and apply various filters to buy the product that they want. But in this system, they will be provided with an option to directly upload the image of the product that they wish to buy. If similar products are available, it will be displayed to the customer immediately. Thus, the time required for a customer to buy a product reduces considerably thereby making the shopping experience fun, easy and convenient. The system works in a way such that when an image is uploaded, the features of this image are extracted by using the deep learning method of Convolutional Neural Network (CNN). These extracted features are compared with the features of the available images stored in the database. Then, the similarity measure is calculated and images that are akin to the query image are found and are set out as result. This method significantly helps in reducing the time required to search for a particular product.
Personalized Learning Case Studies

This chapter informs and educates the reader on how the personalized service delivery model is used in a variety of educational settings. Included in this chapter are four case studies from elementary, middle, and high schools. These case studies discuss the demographics of each school as well as explain the structure personalized learning took in each educational setting. Some of the schools used personalized learning only for academics, while others used it for academics as well as behavioral, social, and emotional support. The way that the personalized service delivery model is used in each school varies depending on the students' collective needs.
Linked Lists

To add an element to a Vector, we must allocate new memory and copy over the existing elements. That's not quick! Here's a storage scheme that's faster to update.
Introduction to Requirements

If there is anything worse than doing a simple task without fully understanding the requirements for success, it is doing a complex one. It happens every day; computer projects are created with only a shimmer of an idea of what the end goal is. Sometimes experimentation leads you to something interesting. What rarely happens though is that you experiment around and meet the actual goal of your customer who knew what they wanted but you just didn’t take the time to ask. In every project, someone involved must take time to figure out what the customer wants before design begins (which also must precede coding!). If you are very lucky, the person who figures out what the customer wants will not be you, as capturing requirements is considerably more difficult than any task that will follow in later chapters. The name of this role is commonly known as a business analyst.
A Mathematical Ga&amp;#239;agraphy: systematizing the new visualization of the Critical Zone in the Anthropocene.

&amp;lt;p&amp;gt;On the basis of the previous work of visualization of the Critical Zone (CZ) through a new conceptual scheme, we have developed mathematical equations in order to systematize this visualization. The previous work was the result of the collaboration between an architect, a geochemist (both authors of this new article) and a philosopher (Arenes, Latour, Gaillardet, 2018). The aim of this work was to address the lack of common representation of the Critical Zone among scientists and the public, and the lack of visualization of human disturbances in this CZ. For this new work, we are further developing the collaboration by including a mathematician in this new article. We kept the main structure of the ga&amp;amp;#239;agraphy developed in the previous article, i. e. the drawing scheme placing the atmosphere in the center, the deep and weathered rocks at the periphery and the shallow soil in between, and a representation of biogeochemical cycles by a grammar of spirals. Thus, we worked on a more qualitative approach to draw the cycle of a chemical element in the CZ. To do this, we associate the reservoir size with the volume of the element found in it. Fluxes between the reservoirs are represented by spiral arcs whose length is proportional to the magnitude of the flux. In each reservoir, semi-circles encode for the residence time of the element. Other rules can be applied to reservoirs and fluxes, while keeping the systematic coding for applicability on multiple CZ observatories.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We present here the first results and the questions we wish to submit to the CZ and LTER communities. This work will validate or not the original conceptual scheme, testing also the capacity of mathematics to solve conceptual and philosophical questions.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;
Introduction

The North American Serials Interest Group convened at the Historic Hilton Hotel in downtown Milwaukee for its nineteenth annual conference, June 17–20, 2004. Lake Michigan provided the backdrop and inspired the conference theme of “Growth, Creativity, and Collaboration: Great Visions on a Great Lake.” Conference attendees saw creative changes in programming at the 2004 conference, too. Lunch connection discussions proved to be very popular. Conference registrants at seven tables discussed staff and workflow reorganization for e-journal deployment. User group meetings were held for the first time during the conference instead of after the conference’s closing. A focused vendor demo session was also included in the programming. The strategy sessions covered a wide range of topics. Some considered different aspects of electronic resources. Many of the other tactics presentations also focused on various aspects of electronic resources.
Troubleshooting

Troubleshooting issues in an Istio service mesh is quite complex. There are many components that are working together to deliver the required behavior, and each of these systems has its own nuances. It is quite impossible to account for all conditions. Thus, during an incident, the troubleshooting process may feel like looking for a needle in a haystack. In this chapter, we will introduce some tools we can use to troubleshoot service-mesh issues. The commands discussed in this chapter are applicable to a bare-metal Kubernetes installation. It is important to identify the configuration because troubleshooting a cloud-based cluster will require different commands.
Security

A very important aspect of writing code is securing it, and in this chapter, we will look at some ways to do so. The aim of this chapter is not to teach you how to break into systems, but to make you aware of the different attack angles and how to protect against them. There are a lot of people out there who will try and break into your system, for various reasons. In contrast to popular belief, people who break into systems are not called hackers. They are actually called crackers. As a software developer, a large portion of the task of securing the system will fall on your shoulders. Chances are that some weakness in your code will expose a path into the system, to steal data or gain unlawful access.
Efektivitas dan Efisiensi Pembiayaan Pendidikan

The writing of this article aims to explain and explain how to manage school finances or financing that suits the needs of students. This article was written with literature collection and analysis techniques. The conclusion of this article is the effectiveness and efficiency of education funding which affects the teaching and learning process in schools.
User Interactive Mobile Augmented Reality of PVPSIT Campus

The main intention of this technique is to convey a mobile primarily based resolution, in a very convenient to new students, parents, guardians whereas they move round the premises of college. Here the objective is to scale back the consumption of your time, discontent and to realize potency, accurate, friendliness-application and momentum, of the applying for PVPSIT-campus area. With this system it's expected to function a helpful and enlightening navigate helper for each students and guests of the PVPSIT-campus. To produce a helpful, informative, mobile primarily based resolution for navigation within a college premises, which is able to contain all the required details, to form certain that it's simple, correct navigation and identification of varied buildings, departments and facilitate the students, scholars, visitors and guests to achieve their preferred location without any problems.
We've Heard the Drumbeat for Years—When Will We See the Parade? The Impact of Integrated Systems on Serials Control and Public Service for Serials

Presenters representing respectively the library and the vendor side of the system procurement equation conducted this session on progress (and lack of progress) in the design of serials control systems and their integration into complete library systems. Attendees learned a great deal about the underlying assumptions of 286both the library and the ILS (integrated library system) vendor before and during the awarding of a contract, and how a lack of specificity, particularly on the library’s part, can lead to unwelcome surprises and strained library-vendor relations. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-342-9678. E-mail address: getinfo@haworth.com]
Information Security and Counterintelligence

To help professional protection officers better understand information security and counterintelligence, this chapter explains key terminology, threats to information and intangible assets, how technology is changing the threat, and a suite of protective measures.
A novel centroids initialisation for K-means clustering in the presence of benign outliers

K-means is one of the most important and widely applied clustering algorithms in learning systems. However, it suffers from centroids initialisation that makes K-means algorithm unstable. The performance and the stability of the K-means algorithm may be degraded if benign outliers (i.e., long-term independence data points) appear in data. In this paper, we developed a novel algorithm to optimise K-means performance in the presence of benign outliers. We firstly identified the benign outliers and executed K-means across them, then K-means runs over all data points to re-locate clusters' centroids, providing high accuracy. The experimental results over several benchmarking and synthetic datasets confirm that the proposed method significantly outperformed some existing approaches with better accuracy based on applied performance metrics.
The Analysis of Tuberculosis Funds Efficiency on High Burden Countries

Tuberculosis remains a major global health problem and ranks as the second leading cause of death from infectious disease worldwide. Countries devote their budgets to overcome the tuberculosis problem. An efficient use of these budgets will arguably reduce the number of tuberculosis cases and eventually give a positive impact to the economy. This paper aims it aims to estimate the technical efficiency scores of tuberculosis funds on high-burden countries by using Data Envelopment Analysis(DEA) method. Further, this study analyzes other environmental factors that are crucial to increase the efficiency scores by using Tobit method. DEA shows that some countries exhibit high efficiency scores while others exhibit low efficiency scores. It also informs how countries use funds to maximize their results. Meanwhile, the Tobit estimation shows that taxing cigarettes and committing budgets to control tobaccos have positive marginal effects on technical efficiency scores.
Neural Networks

This chapter covers the basics of neural networks, a.k.a. deep learning. We discuss various foundational topics as follows: gradient-based optimization of input and parameters of the function (Section 5.1), linear models (Section 5.2), deep and dense neural network (Section 5.3), activation functions (Section 5.4), loss functions (Section 5.5), and optimization (Section 5.6) and regularization (Section 5.7) techniques. Finally, we summarize the chapter in Section 5.8.
Audio Watermarking Based on LWT and SD

Chapter 5 proposes an audio watermarking method based on LWT and Schur decomposition (SD). To the best of our knowledge, this is the first audio watermarking method based on LWT, SD, and quantization jointly. Initially, the watermark data are preprocessed to enhance the confidentiality of the proposed method. Then, the original audio is segmented into nonoverlapping frames and LWT is applied to each frame. SD is applied to the selected low-frequency LWT coefficients represented in a matrix form. Watermark data are embedded into the largest element of the upper triangular matrix obtained from the selected LWT coefficients of each frame. Experimental results confirm that the embedded data are highly robust against various attacks. Moreover, it shows superior performance than the state-of-the-art watermarking methods reported recently. In this chapter, an audio watermarking method in lifting wavelet transform (LWT) domain based on Schur decomposition (SD) is introduced. The main features of the proposed method are: (i) it utilizes the LWT and SD jointly, (ii) it uses Gaussian map, containing the chaotic characteristic to enhance the confidentiality of the proposed scheme, (iii) watermark extraction process is blind, (iv) subjective and objective evaluations reveal that the proposed scheme maintains high audio quality, and (v) it achieves a good trade-off among imperceptibility, robustness, and data payload. Experimental results indicate that the proposed watermarking scheme is highly robust against various attacks such as noise addition, cropping, re-sampling, re-quantization, and MP3 compression. Moreover, it outperforms state-of-the-art methods [9–10, 14–16, 20, 23–24, 26] in terms of imperceptibility, robustness, and data payload. The data payload of the proposed scheme is 172.39 bps, which is relatively higher than that of the state-of-the-art methods.
Using Data Mining Techniques to Discover Patterns in an Airline's Flight Hours Assignments

The quality of a company's information system is essential and also its physical data model. In this article, the authors apply data mining techniques in order to generate knowledge from the information system's data model, and also to discover and understand hidden patterns within data that regulate the planning of flight hours of pilots and copilots in an airline. With this objective, they use Weka free software which offers a set of algorithms and visualization tools geared to data analysis and predictive modeling of information systems. Firstly, they apply clustering to study the information system and analyze data model; secondly, they apply association rules to discover connection patterns in data; and finally, they generate a decision tree to classify and extract more specific patterns. The authors suggest conclusions according these information system's data to improve future decision making in an airline's flight hours assignments.
Ways to Recognize Senior Volunteers

The Volunteer Management ReportVolume 25, Issue 11 p. 3-3 Articles Ways to Recognize Senior Volunteers First published: 12 October 2020 https://doi.org/10.1002/vmr.31552Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume25, Issue11November 2020Pages 3-3 RelatedInformation
Research Analysis on Encryption Algorithms for Cloud Authentication in Hms

With the advancement of Internet of Things, mutual sharing of data turns out to be simple among different brilliant gadgets over the globe. In such a situation, a smart health care should be accelerated with a goal to provide a secure patient’s record situated globally. In any case, as the sensitive data about a patient passes through an open channel (i.e., the Internet), there are odds of abusing this data and intercepting message communication and possibility of passive attack. These attacks are undetected and unavoidable over open channels. Thus, there is a necessity for a solid crypto system for safely handling keen human services information. To ensure that the patients' right over their own information, it is a assuring technique to scramble the information's by the time it gets re-appropriated. We are presenting a secure data retrieval scheme by comparing various algorithms that manage their attributes independently. The proposed application mainly insist on current attribute based encryption mechanism and providing compared efficiency.
What Is PHP—And Why Should I Care?

PHP is often described by its critics as one of the worst programming languages, yet it’s also one of the most popular. It helps power Google, Yahoo, and Wikipedia, among others. According to Web Technology Surveys ( ), it’s deployed on more than four in every five web sites that use a server-side language. So, PHP has obviously got something going for it. Indeed, it has. PHP was specifically designed for building dynamic web sites. It’s free; it has a very gentle learning curve; and this book will show you how to put it to practical use.
Effective Reading Strategies for Generation Z Using Authentic Texts

The article deals with the use of effective reading strategies with Generation Z students based on a critical review of modern psychological and pedagogical studies of ‘digital learners’. The relevance of the study is substantiated by the fact that the subjects of the modern educational process today are mostly representatives of Generation Z and their ways of study, preferences and values are bringing important changes to teaching and learning contexts. The purpose of the article is to analyse effective reading strategies using authentic texts. It features a brief overview of the studies devoted to the reading strategies and highlights the differences between reading skills and reading strategies. The authors explore the concept of authenticity of texts and tasks and suggest their highly motivational nature for digital learners. The article presents an analysis of Generation Z’s unique characteristics and projects them onto the choice of effective reading strategies for digital learners. The article concludes with a discussion of pedagogical implications and a list of recommendations to consider when selecting effective reading strategies for language classrooms.