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  • Assessing the Quality of Gridded Population Data for Quantifying the Population Living in Deprived Communities
    arXiv.cs.CY Pub Date : 2020-11-25
    Agatha C. H. de Mattos; Gavin McArdle; Michela Bertolotto

    Over a billion people live in slums in settlements that are often located in ecologically sensitive areas and hence highly vulnerable. This is a problem in many parts of the world, but it is more prominent in low-income countries, where in 2014 on average 65% of the urban population lived in slums. As a result, building resilient communities requires quantifying the population living in these deprived

    更新日期:2020-11-27
  • AI virtues -- The missing link in putting AI ethics into practice
    arXiv.cs.CY Pub Date : 2020-11-25
    Thilo Hagendorff

    Several seminal ethics initiatives have stipulated sets of principles and standards for good technology development in the AI sector. However, widespread criticism has pointed out a lack of practical realization of these principles. Following that, AI ethics underwent a practical turn, but without deviating from the principled approach and the many shortcomings associated with it. This paper proposes

    更新日期:2020-11-27
  • Towards the Development of 3D Engine Assembly Simulation Learning Module for Senior High School
    arXiv.cs.CY Pub Date : 2020-11-19
    John Paul P. Miranda; Jaymark A. Yambao; Jhon Asley M. Marcelo; Christopher Robert N. Gonzales; Vee-jay T. Mungcal

    The focus of the study is to develop a 3D engine assembly simulation learning module to address the lack of equipment in one senior high school in the Philippines. The study used mixed-method to determine the considerations needed in developing an application for educational use particularly among laboratory/practical subjects like engine assembly. The study used ISO 25010 quality standards in evaluating

    更新日期:2020-11-27
  • An Integration of UTAUT and Task-Technology Fit Frameworks for Assessing the Acceptance of Clinical Decision Support Systems in the Context of a Developing Country
    arXiv.cs.CY Pub Date : 2020-11-25
    Soliman Aljarboa; Shah J. Miah

    This paper is to create a basis of theoretical contribution for a new PhD thesis in the area of Clinical Decision Support Systems (CDSS) acceptance. Over the past three years, we conducted qualitative research into three distinctive phases to develop an extended Task-Technology Fit (TTF) Framework. These phases are for initiating requirement generation of the framework, discovering the factors of the

    更新日期:2020-11-27
  • COVID-19 and Social Distancing: Disparities in Mobility Adaptation by Income
    arXiv.cs.CY Pub Date : 2020-11-25
    Kentaro Iio; Xiaoyu Guo; Xiaoqiang "Jack" Kong; Kelly Rees; Xiubin Bruce Wang

    In response to the coronavirus disease 2019 (COVID-19) pandemic, governments have imposed orders upon or encouraged citizens to decrease physical contact to slow down the spread of the virus. Current literature from the United States infers that only workers from limited socioeconomic groups have the ability to practice remote work. However, there has been little research on mobility disparity across

    更新日期:2020-11-27
  • Evaluating the scale, growth, and origins of right-wing echo chambers on YouTube
    arXiv.cs.CY Pub Date : 2020-11-25
    Homa Hosseinmardi; Amir Ghasemian; Aaron Clauset; David M. Rothschild; Markus Mobius; Duncan J. Watts

    Although it is understudied relative to other social media platforms, YouTube is arguably the largest and most engaging online media consumption platform in the world. Recently, YouTube's outsize influence has sparked concerns that its recommendation algorithm systematically directs users to radical right-wing content. Here we investigate these concerns with large scale longitudinal data of individuals'

    更新日期:2020-11-27
  • Stay Connected, Leave no Trace: Enhancing Security and Privacy in WiFi via Obfuscating Radiometric Fingerprints
    arXiv.cs.CY Pub Date : 2020-11-25
    Luis F. Abanto-LeonAllyson; Andreas BaeumlAllyson; Gek HongAllyson; Sim; Matthias Hollick; Arash Asadi

    The intrinsic hardware imperfection of WiFi chipsets manifests itself in the transmitted signal, leading to a unique radiometric fingerprint. This fingerprint can be used as an additional means of authentication to enhance security. In fact, recent works propose practical fingerprinting solutions that can be readily implemented in commercial-off-the-shelf devices. In this paper, we prove analytically

    更新日期:2020-11-27
  • Towards Mass Adoption of Contact Tracing Apps -- Learning from Users' Preferences to Improve App Design
    arXiv.cs.CY Pub Date : 2020-11-24
    Dana Naous; Manus Bonner; Mathias Humbert; Christine Legner

    Contact tracing apps have become one of the main approaches to control and slow down the spread of COVID-19 and ease up lockdown measures. While these apps can be very effective in stopping the transmission chain and saving lives, their adoption remains under the expected critical mass. The public debate about contact tracing apps emphasizes general privacy reservations and is conducted at an expert

    更新日期:2020-11-27
  • Development and evaluation of the use of a virtual health filter survey in a private primary education system in Baja California Mexico during the SARS-CoV-2 contingency (COVID-19)
    arXiv.cs.CY Pub Date : 2020-11-23
    G. S. Romo-Cárdenas; M. A. Cosío-León; G. J. Avilés-Rodriguez; N. Isiodoro-Carballo; E. Zuñiga-Violante; J. dD. Sánchez-López; J. I. Nieto-Hipólito

    This work reports on the design, implementation and evaluation of a survey used as a remote sanitary filter, which was applied in the Adventist Educational System of Baja California. During the SARS-CoV-2 sanitary contingency. This with the intention of acquiring information safely and in real time. Allowing to safeguard the integrity of the educational community as a whole. Accessible and easily distributed

    更新日期:2020-11-25
  • Alone or With Others? Understanding Eating Episodes of College Students with Mobile Sensing
    arXiv.cs.CY Pub Date : 2020-11-23
    Lakmal Meegahapola; Salvador Ruiz-Correa; Daniel Gatica-Perez

    Understanding food consumption patterns and contexts using mobile sensing is fundamental to build mobile health applications that require minimal user interaction to generate mobile food diaries. Many available mobile food diaries, both commercial and in research, heavily rely on self-reports, and this dependency limits the long term adoption of these apps by people. The social context of eating (alone

    更新日期:2020-11-25
  • An analysis of replies to Trump's tweets
    arXiv.cs.CY Pub Date : 2020-11-23
    Zijian An; Kenneth Joseph

    Donald Trump has tweeted thousands of times during his presidency. These public statements are an increasingly important way through which Trump communicates his political and personal views. A better understanding of the way the American public consumes and responds to these tweets is therefore critical. In the present work, we address both consumption of and response to Trump's tweets by studying

    更新日期:2020-11-25
  • Gender bias in magazines oriented to men and women: a computational approach
    arXiv.cs.CY Pub Date : 2020-11-24
    Diego Kozlowski; Gabriela Lozano; Carla M. Felcher; Fernando Gonzalez; Edgar Altszyler

    Cultural products are a source to acquire individual values and behaviours. Therefore, the differences in the content of the magazines aimed specifically at women or men are a means to create and reproduce gender stereotypes. In this study, we compare the content of a women-oriented magazine with that of a men-oriented one, both produced by the same editorial group, over a decade (2008-2018). With

    更新日期:2020-11-25
  • Argument from Old Man's View: Assessing Social Bias in Argumentation
    arXiv.cs.CY Pub Date : 2020-11-24
    Maximilian Spliethöver; Henning Wachsmuth

    Social bias in language - towards genders, ethnicities, ages, and other social groups - poses a problem with ethical impact for many NLP applications. Recent research has shown that machine learning models trained on respective data may not only adopt, but even amplify the bias. So far, however, little attention has been paid to bias in computational argumentation. In this paper, we study the existence

    更新日期:2020-11-25
  • Self-supervised transfer learning of physiological representations from free-living wearable data
    arXiv.cs.CY Pub Date : 2020-11-18
    Dimitris Spathis; Ignacio Perez-Pozuelo; Soren Brage; Nicholas J. Wareham; Cecilia Mascolo

    Wearable devices such as smartwatches are becoming increasingly popular tools for objectively monitoring physical activity in free-living conditions. To date, research has primarily focused on the purely supervised task of human activity recognition, demonstrating limited success in inferring high-level health outcomes from low-level signals. Here, we present a novel self-supervised representation

    更新日期:2020-11-25
  • Preprints as accelerator of scholarly communication: An empirical analysis in Mathematics
    arXiv.cs.CY Pub Date : 2020-11-24
    Zhiqi Wang; Yue Chen; Wolfgang Glänzel

    In this study we analyse the key driving factors of preprints in enhancing scholarly communication. To this end we use four groups of metrics, one referring to scholarly communication and based on bibliometric indicators (Web of Science and Scopus citations), while the others reflect usage (usage counts in Web of Science), capture (Mendeley readers) and social media attention (Tweets). Hereby we measure

    更新日期:2020-11-25
  • Job Transitions in a Time of Automation and Labor Market Crises
    arXiv.cs.CY Pub Date : 2020-11-23
    Nikolas Dawson; Marian-Andrei Rizoiu; Mary-Anne Williams

    Job security can never be taken for granted, especially in times of rapid, widespread and unexpected social and economic change. These changes can force workers to transition to new jobs. This may be because technologies emerge or production is moved abroad. Perhaps it is a global crisis, such as COVID-19, which shutters industries and displaces labor en masse. Regardless of the impetus, people are

    更新日期:2020-11-25
  • FERN: Fair Team Formation for Mutually Beneficial Collaborative Learning
    arXiv.cs.CY Pub Date : 2020-11-23
    Maria Kalantzi; Agoritsa Polyzou; George Karypis

    Automated Team Formation is becoming increasingly important for a plethora of applications in open source community projects, remote working platforms, as well as online educational systems. The latter case, in particular, poses significant challenges that are specific to the educational domain. Indeed, teaming students aims to accomplish far more than the successful completion of a specific task.

    更新日期:2020-11-25
  • An Interactive Foreign Language Trainer Using Assessment and Feedback Modalities
    arXiv.cs.CY Pub Date : 2020-11-23
    Rosalyn P. Reyes; Evelyn C. Samson; Julius G. Garcia

    English has long been set as the universal language. Basically most, if not all countries in the world know how to speak English or at least try to use it in their everyday communications for the purpose of globalizing. This study is designed to help the students learn from one or all of the four most commonly used foreign languages in the field of Information Technology namely Korean, Mandarin Chinese

    更新日期:2020-11-25
  • Training Ethically Responsible AI Researchers: a Case Study
    arXiv.cs.CY Pub Date : 2020-11-20
    Hang Yuan; Claudia Vanea; Federica Lucivero; Nina Hallowell

    Ethical oversight of AI research is beset by a number of problems. There are numerous ways to tackle these problems, however, they leave full responsibility for ethical reflection in the hands of review boards and committees. In this paper, we propose an alternative solution: the training of ethically responsible AI researchers. We showcase this solution through a case study of a centre for doctoral

    更新日期:2020-11-25
  • An application of cyberpsychology in business email compromise
    arXiv.cs.CY Pub Date : 2020-11-22
    Shadrack Awah Buo

    This paper introduces Business Email Compromise (BEC) and why it is becoming a major issue to businesses worldwide. It also presents a case study of a BEC incident against Unatrac Holding Ltd and analyses the techniques used by the cybercriminals to defraud the company. A critical analysis of the psychological and sociotechnical impacts of BEC to both the company and employees are conducted, and potential

    更新日期:2020-11-25
  • Influence of Murder Incident of Ride-hailing Drivers on Ride-hailing User's Consuming Willingness in Nanchang
    arXiv.cs.CY Pub Date : 2020-11-20
    Guangxin He; Shenghuan Yang; Miaomiao Lei; Xing Wu; Yixin Sun; Yimeng Dang

    Due to the frequent occurrence of murder incidents of ride-hailing drivers in China in 2018, ride-hailing companies took a series of measures to prevent such incidents and ensure the safety of ride-hailing passengers. In this study, we investigated users'willingness to use ride-hailing apps after murder incidents and users'attitudes of Safety Rectification. We found that murder incidents of ride-hailing

    更新日期:2020-11-25
  • How will AI and automation transform society and cities?
    arXiv.cs.CY Pub Date : 2020-11-22
    Gevorg Yeghikyan

    Against the backdrop of rising anxiety and discussions on the impact of AI on society, I explore in this article the structural possibilities of AI and automation triggering a new social conflict between the current capitalist elites and the emerging "creative class" (R&D scientists, engineers, business developers, etc.), and how this conflict can produce social tensions and transform urban space.

    更新日期:2020-11-25
  • Development of Rubrics for Capstone Project Courses: Perspectives from Teachers and Students
    arXiv.cs.CY Pub Date : 2020-11-22
    Rex P. Bringula

    This study attempted to develop fair, relevant, and content-valid assessment tools for capstone project courses. Toward this goal, new rating instruments based on the concept of rubrics were proposed. To ensure that the new instruments were valid and fair, several meetings with faculty and students of the computing science departments (i.e., Computer Science and Information Technology) were successively

    更新日期:2020-11-25
  • Who's Who in the Information Technology Research in the Philippines A Social Network Analysis
    arXiv.cs.CY Pub Date : 2020-11-22
    Rex Bringula; Ma. Carmela Racelis; Rey C. Rodrigueza

    This study reported the conference papers presented conducted by the two computing societies in the Philippines. Toward this goal, all published conference proceedings from the National Conference of IT Education and Philippine Computing Society Conference were gathered and analyzed using social network analysis. The findings of the study disclosed that there are 733 papers presented in the conference

    更新日期:2020-11-25
  • Human computation requires and enables a new approach to ethical review
    arXiv.cs.CY Pub Date : 2020-11-21
    Libuše Hannah Vepřek; Patricia Seymour; Pietro Michelucci

    With humans increasingly serving as computational elements in distributed information processing systems and in consideration of the profit-driven motives and potential inequities that might accompany the emerging thinking economy[1], we recognize the need for establishing a set of related ethics to ensure the fair treatment and wellbeing of online cognitive laborers and the conscientious use of the

    更新日期:2020-11-25
  • Teaching Key Machine Learning Principles Using Anti-learning Datasets
    arXiv.cs.CY Pub Date : 2020-11-16
    Chris Roadknight; Prapa Rattadilok; Uwe Aickelin

    Much of the teaching of machine learning focuses on iterative hill-climbing approaches and the use of local knowledge to gain information leading to local or global maxima. In this paper we advocate the teaching of alternative methods of generalising to the best possible solution, including a method called anti-learning. By using simple teaching methods, students can achieve a deeper understanding

    更新日期:2020-11-25
  • Tracking the evolution of crisis processes and mental health on social media during the COVID-19 pandemic
    arXiv.cs.CY Pub Date : 2020-11-22
    Antonela Tommasel; Daniela Godoy; Juan Manuel Rodriguez

    The COVID-19 pandemic has affected all aspects of society, not only bringing health hazards, but also posing challenges to public order, governments and mental health. Moreover, it is the first one in history in which people from around the world uses social media to massively express their thoughts and concerns. This study aims at examining the stages of crisis response and recovery as a sociological

    更新日期:2020-11-25
  • Social Determinants of Recidivism: A Machine Learning Solution
    arXiv.cs.CY Pub Date : 2020-11-19
    Vik Shirvaikar; Choudur Lakshminarayan

    In this study, we propose advancements in criminal justice analytics along three dimensions. First, for the long-standing problem of recidivism risk assessment, we shift the focus from predicting the likelihood of recidivism to identifying its underlying determinants within distinct subgroups. Second, to achieve this, we introduce a machine learning pipeline that combines unsupervised and supervised

    更新日期:2020-11-25
  • Enhancing Poaching Predictions for Under-Resourced Wildlife Conservation Parks Using Remote Sensing Imagery
    arXiv.cs.CY Pub Date : 2020-11-20
    Rachel Guo; Lily Xu; Drew Cronin; Francis Okeke; Andrew Plumptre; Milind Tambe

    Illegal wildlife poaching is driving the loss of biodiversity. To combat poaching, rangers patrol expansive protected areas for illegal poaching activity. However, rangers often cannot comprehensively search such large parks. Thus, the Protection Assistant for Wildlife Security (PAWS) was introduced as a machine learning approach to help identify the areas with highest poaching risk. As PAWS is deployed

    更新日期:2020-11-25
  • Effects of Human vs. Automatic Feedback on Students' Understanding of AI Concepts and Programming Style
    arXiv.cs.CY Pub Date : 2020-11-20
    Abe Leite; Saúl A. Blanco

    The use of automatic grading tools has become nearly ubiquitous in large undergraduate programming courses, and recent work has focused on improving the quality of automatically generated feedback. However, there is a relative lack of data directly comparing student outcomes when receiving computer-generated feedback and human-written feedback. This paper addresses this gap by splitting one 90-student

    更新日期:2020-11-25
  • COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study
    arXiv.cs.CY Pub Date : 2020-11-20
    Amanuel Alambo; Swati Padhee; Tanvi Banerjee; Krishnaprasad Thirunarayan

    COVID-19 pandemic has adversely and disproportionately impacted people suffering from mental health issues and substance use problems. This has been exacerbated by social isolation during the pandemic and the social stigma associated with mental health and substance use disorders, making people reluctant to share their struggles and seek help. Due to the anonymity and privacy they provide, social media

    更新日期:2020-11-23
  • Implementing the Cognition Level for Industry 4.0 by integrating Augmented Reality and Manufacturing Execution Systems
    arXiv.cs.CY Pub Date : 2020-11-18
    Alfonso Di Pace; Giuseppe Fenza; Mariacristina Gallo; Vincenzo Loia; Aldo Meglio; Francesco Orciuoli

    In the current industrial practices, the exponential growth in terms of availability and affordability of sensors, data acquisition systems, and computer networks forces factories to move toward implementing high integrating Cyber-Physical Systems (CPS) with production, logistics, and services. This transforms today's factories into Industry 4.0 factories with significant economic potential. Industry

    更新日期:2020-11-23
  • Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS
    arXiv.cs.CY Pub Date : 2020-11-12
    Milad Asgari Mehrabadi; Seyed Amir Hossein Aqajari; Iman Azimi; Charles A Downs; Nikil Dutt; Amir M Rahmani

    The world has been affected by COVID-19 coronavirus. At the time of this study, the number of infected people in the United States is the highest globally (7.9 million infections). Within the infected population, patients diagnosed with acute respiratory distress syndrome (ARDS) are in more life-threatening circumstances, resulting in severe respiratory system failure. Various studies have investigated

    更新日期:2020-11-23
  • How do you feel: Emotions exhibited while Playing Computer Games and their Relationship with Gaming Behaviors
    arXiv.cs.CY Pub Date : 2020-11-20
    Rex Bringula; Kristian Paul M. Lugtu; Mark Anthony D. Uy; Ariel Aviles

    This descriptive study utilized a validated questionnaire to determine the emotions exhibited by computer gamers in cyber caf\'es. It was revealed that most of the gamers were young, male, single, as well as high school and vocational students who belonged to middle-income families. Most of them had computer access at home but only a few had Internet access at home. Gamers tended to play games in cyber

    更新日期:2020-11-23
  • ONION: A Simple and Effective Defense Against Textual Backdoor Attacks
    arXiv.cs.CY Pub Date : 2020-11-20
    Fanchao Qi; Yangyi Chen; Mukai Li; Zhiyuan Liu; Maosong Sun

    Backdoor attacks, which are a kind of emergent training-time threat to deep neural networks (DNNS). They can manipulate the output of DNNs and posses high insidiousness. In the field of natural language processing, some attack methods have been proposed and achieve very high attack success rates on multiple popular models. Nevertheless, the studies on defending textual backdoor defense are little conducted

    更新日期:2020-11-23
  • Exploring the political pulse of a country using data science tools
    arXiv.cs.CY Pub Date : 2020-11-20
    Miguel G. Folgado; Verónica Sanz

    In this paper we illustrate the use of Data Science techniques to analyse complex human communication. In particular, we consider tweets from leaders of political parties as a dynamical proxy to political programmes and ideas. We also study the temporal evolution of their contents as a reaction to specific events. We analyse levels of positive and negative sentiment in the tweets using new tools adapted

    更新日期:2020-11-23
  • Interpretable and Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality
    arXiv.cs.CY Pub Date : 2020-11-19
    Johanna Einsiedler; Yun Cheng; Franz Papst; Olga Saukh

    The COVID-19 related lockdown measures offer a unique opportunity to understand how changes in economic activity and traffic affect ambient air quality and how much pollution reduction potential can the society offer through digitalization and mobilitylimiting policies. In this work, we estimate pollution reduction over the lockdown period by using the measurements from ground air pollution monitoring

    更新日期:2020-11-23
  • Exercise Hierarchical Feature Enhanced Knowledge Tracing
    arXiv.cs.CY Pub Date : 2020-10-23
    Hanshuang Tong; Yun Zhou; Zhen Wang

    Knowledge tracing is a fundamental task in the computer-aid educational system. In this paper, we propose a hierarchical exercise feature enhanced knowledge tracing framework, which could enhance the ability of knowledge tracing by incorporating knowledge distribution, semantic features, and difficulty features from exercise text. Extensive experiments show the high performance of our framework.

    更新日期:2020-11-21
  • The human quest for discovering mathematical beauty in the arts
    arXiv.cs.CY Pub Date : 2020-11-12
    Stefano Balietti

    In the words of the twentieth-century British mathematician G. H. Hardy, "the human function is to 'discover or observe' mathematics" (1). For centuries, starting from the ancient Greeks, mankind has hunted for beauty and order in arts and in nature. This quest for mathematical beauty has led to the discovery of recurrent mathematical structures, such as the golden ratio, Fibonacci, and Lucas numbers

    更新日期:2020-11-21
  • An Experiment on Leveraging SHAP Values to Investigate Racial Bias
    arXiv.cs.CY Pub Date : 2020-11-11
    Ramon Vilarino; Renato Vicente

    We design a series of experiments on credit scoring and employ SHAP values to demonstrate that the use of location information may introduce racial biases. The analysis relies on race statistics collected from Brazilian Institute of Geography and Statistics (IBGE) and on fully anonymized credit information. The present work helps to discuss how to track racial biases when protected attributes are not

    更新日期:2020-11-21
  • Passive detection of behavioral shifts for suicide attempt prevention
    arXiv.cs.CY Pub Date : 2020-11-14
    Pablo Moreno-Muñoz; Lorena Romero-Medrano; Ángela Moreno; Jesús Herrera-López; Enrique Baca-García; Antonio Artés-Rodríguez

    More than one million people commit suicide every year worldwide. The costs of daily cares, social stigma and treatment issues are still hard barriers to overcome in mental health. Most symptoms of mental disorders are related to the behavioral state of a patient, such as the mobility or social activity. Mobile-based technologies allow the passive collection of patients data, which supplements conventional

    更新日期:2020-11-21
  • Digital trace data collection through data donation
    arXiv.cs.CY Pub Date : 2020-11-13
    Laura Boeschoten; Jef Ausloos; Judith Moeller; Theo Araujo; Daniel L. Oberski

    A potentially powerful method of social-scientific data collection and investigation has been created by an unexpected institution: the law. Article 15 of the EU's 2018 General Data Protection Regulation (GDPR) mandates that individuals have electronic access to a copy of their personal data, and all major digital platforms now comply with this law by providing users with "data download packages" (DDPs)

    更新日期:2020-11-21
  • Knowledge Management Competence and ISD Vendor Innovativeness in Turbulent Markets
    arXiv.cs.CY Pub Date : 2020-11-16
    Sachithra Lokuge; Maduka Subasinghage

    Continuous changes in the technology and the business landscape place high strain on managing knowledge in organisations. Prior researchers highlight a positive connotation with knowledge management competence and organisational innovativeness in a turbulent environment. However, the rapid changes in the market and technology landscape may exert an additional pressure on the employees and such pressures

    更新日期:2020-11-21
  • Using Ordinal Data to Assess Distance Learning
    arXiv.cs.CY Pub Date : 2020-11-16
    Matthew Norris

    There is some disagreement on whether Likert scale data should be treated as ordinal or continuous. This paper treats Likert data as ordinal, uses non-parametric hypothesis testing, and clustering to validate those variables that have significant results from hypothesis testing.

    更新日期:2020-11-21
  • Positively Correlated Samples Save Pooled Testing Costs
    arXiv.cs.CY Pub Date : 2020-11-19
    Yi-Jheng Lin; Che-Hao Yu; Tzu-Hsuan Liu; Cheng-Shang Chang; Wen-Tsuen Chen

    The group testing approach that can achieve significant cost reduction over the individual testing approach has received a lot of interest lately for massive testing of COVID-19. Traditionally, the samples mixed in a group are assumed to be independent and identically distributed Bernoulli random variables. However, this may not be the case for a contagious disease like COVID-19, as people within a

    更新日期:2020-11-21
  • The Influences of Pre-birth Factors in Early Assessment of Child Mortality using Machine Learning Techniques
    arXiv.cs.CY Pub Date : 2020-11-18
    Asadullah Hill Galib; Nadia Nahar; B M Mainul Hossain

    Analysis of child mortality is crucial as it pertains to the policy and programs of a country. The early assessment of patterns and trends in causes of child mortality help decision-makers assess needs, prioritize interventions, and monitor progress. Post-birth factors of the child, such as real-time clinical data, health data of the child, etc. are frequently used in child mortality studies. However

    更新日期:2020-11-21
  • Redistricting Algorithms
    arXiv.cs.CY Pub Date : 2020-11-18
    Amariah Becker; Justin Solomon

    Why not have a computer just draw a map? This is something you hear a lot when people talk about gerrymandering, and it's easy to think at first that this could solve redistricting altogether. But there are more than a couple problems with this idea. In this chapter, two computer scientists survey what's been done in algorithmic redistricting, discuss what doesn't work and highlight approaches that

    更新日期:2020-11-21
  • A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data
    arXiv.cs.CY Pub Date : 2020-11-18
    Zina M Ibrahim; Daniel Bean; Thomas Searle; Honghan Wu; Anthony Shek; Zeljko Kraljevic; James Galloway; Sam Norton; James T Teo; Richard JB Dobson

    The ability to perform accurate prognosis of patients is crucial for proactive clinical decision making, informed resource management and personalised care. Existing outcome prediction models suffer from a low recall of infrequent positive outcomes. We present a highly-scalable and robust machine learning framework to automatically predict adversity represented by mortality and ICU admission from time-series

    更新日期:2020-11-19
  • Secure communication between UAVs using a method based on smart agents in unmanned aerial vehicles
    arXiv.cs.CY Pub Date : 2020-11-03
    Maryam Faraji-Biregani; Reza Fotohi

    Unmanned aerial vehicles (UAVs) can be deployed to monitor very large areas without the need for network infrastructure. UAVs communicate with each other during flight and exchange information with each other. However, such communication poses security challenges due to its dynamic topology. To solve these challenges, the proposed method uses two phases to counter malicious UAV attacks. In the first

    更新日期:2020-11-19
  • A First Look at COVID-19 Messages on WhatsAppin Pakistan
    arXiv.cs.CY Pub Date : 2020-11-18
    R. Tallal Javed; Mirza Elaaf Shuja; Muhammad Usama; Junaid Qadir; Waleed Iqbal; Gareth Tyson; Ignacio Castro; Kiran Garimella

    The worldwide spread of COVID-19 has prompted extensive online discussions, creating an `infodemic' on social media platforms such as WhatsApp and Twitter. However, the information shared on these platforms is prone to be unreliable and/or misleading. In this paper, we present the first analysis of COVID-19 discourse on public WhatsApp groups from Pakistan. Building on a large scale annotation of thousands

    更新日期:2020-11-19
  • The COVID19 infodemic. The role and place of academics in science communication
    arXiv.cs.CY Pub Date : 2020-11-17
    Jennifer Cole

    As the COVID19 pandemic has spread across the world, a concurrent pandemic of information has spread with it. Deemed an infodemic by the World Health Organization, and described as an overabundance of information, some accurate, some not, that occurs during an epidemic, this proliferation of data, research and opinions provides both opportunities and challenges for academics. Academics and scientists

    更新日期:2020-11-18
  • Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database
    arXiv.cs.CY Pub Date : 2020-11-17
    Sean McGregor

    Mature industrial sectors (e.g., aviation) collect their real world failures in incident databases to inform safety improvements. Intelligent systems currently cause real world harms without a collective memory of their failings. As a result, companies repeatedly make the same mistakes in the design, development, and deployment of intelligent systems. A collection of intelligent system failures experienced

    更新日期:2020-11-18
  • Global Road Damage Detection: State-of-the-art Solutions
    arXiv.cs.CY Pub Date : 2020-11-17
    Deeksha AryaIndian Institute of Technology Roorkee, IndiaThe University of Tokyo, Japan; Hiroya MaedaThe University of Tokyo, Japan; Sanjay Kumar GhoshIndian Institute of Technology Roorkee, India; Durga ToshniwalIndian Institute of Technology Roorkee, India; Hiroshi OmataThe University of Tokyo, Japan; Takehiro KashiyamaThe University of Tokyo, Japan; Yoshihide SekimotoThe University of Tokyo, Japan

    This paper summarizes the Global Road Damage Detection Challenge (GRDDC), a Big Data Cup organized as a part of the IEEE International Conference on Big Data'2020. The Big Data Cup challenges involve a released dataset and a well-defined problem with clear evaluation metrics. The challenges run on a data competition platform that maintains a leaderboard for the participants. In the presented case,

    更新日期:2020-11-18
  • Feasibility Study on CCTV-aware Routing and Navigation for Privacy, Anonymity, and Safety. Jyvaskyla -- Case-study of the First City to Benefit from CCTV-aware Technology. (Preprint)
    arXiv.cs.CY Pub Date : 2020-11-17
    Tuomo Lahtinen; Lauri Sintonen; Hannu Turtiainen; Andrei Costin

    In order to withstand the ever-increasing invasion of privacy by CCTV cameras and technologies, on par CCTV-aware solutions must exist that provide privacy, safety, and cybersecurity features. We argue that a first important step towards such CCTV-aware solutions must be a mapping system that provides both privacy and safety routing and navigation options. To the best of our knowledge, there are no

    更新日期:2020-11-18
  • Audience Creation for Consumables -- Simple and Scalable Precision Merchandising for a Growing Marketplace
    arXiv.cs.CY Pub Date : 2020-11-17
    Shreyas S; Harsh Maheshwari; Avijit Saha; Samik Datta; Shashank Jain; Disha Makhija; Anuj Nagpal; Sneha Shukla; Suyash S

    Consumable categories, such as grocery and fast-moving consumer goods, are quintessential to the growth of e-commerce marketplaces in developing countries. In this work, we present the design and implementation of a precision merchandising system, which creates audience sets from over 10 million consumers and is deployed at Flipkart Supermart, one of the largest online grocery stores in India. We employ

    更新日期:2020-11-18
  • Political Partisanship and Anti-Science Attitudes in Online Discussions about Covid-19
    arXiv.cs.CY Pub Date : 2020-11-17
    Ashwin Rao; Fred Morstatter; Minda Hu; Emily Chen; Keith Burghardt; Emilio Ferrara; Kristina Lerman

    The novel coronavirus pandemic continues to ravage communities across the US. Opinion surveys identified importance of political ideology in shaping perceptions of the pandemic and compliance with preventive measures. Here, we use social media data to study complexity of polarization. We analyze a large dataset of tweets related to the pandemic collected between January and May of 2020, and develop

    更新日期:2020-11-18
  • Personalized Cardiovascular Disease Risk Mitigation via Longitudinal Inverse Classification
    arXiv.cs.CY Pub Date : 2020-11-16
    Michael T. Lash; W. Nick Street

    Cardiovascular disease (CVD) is a serious illness affecting millions world-wide and is the leading cause of death in the US. Recent years, however, have seen tremendous growth in the area of personalized medicine, a field of medicine that places the patient at the center of the medical decision-making and treatment process. Many CVD-focused personalized medicine innovations focus on genetic biomarkers

    更新日期:2020-11-18
  • A Survey of Requirements for COVID-19 Mitigation Strategies. Part I: Newspaper Clips
    arXiv.cs.CY Pub Date : 2020-11-16
    Wojciech Jamroga; David Mestel; Peter B. Roenne; Peter Y. A. Ryan; Marjan Skrobot

    The COVID-19 pandemic has influenced virtually all aspects of our lives. Across the world, countries have applied various mitigation strategies for the epidemic, based on social, political, and technological instruments. We postulate that one should {identify the relevant requirements} before committing to a particular mitigation strategy. One way to achieve it is through an overview of what is considered

    更新日期:2020-11-17
  • Good proctor or "Big Brother"? AI Ethics and Online Exam Supervision Technologies
    arXiv.cs.CY Pub Date : 2020-11-15
    Simon Coghlan; Tim Miller; Jeannie Paterson

    This article philosophically analyzes online exam supervision technologies, which have been thrust into the public spotlight due to campus lockdowns during the COVID-19 pandemic and the growing demand for online courses. Online exam proctoring technologies purport to provide effective oversight of students sitting online exams, using artificial intelligence (AI) systems and human invigilators to supplement

    更新日期:2020-11-17
  • Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
    arXiv.cs.CY Pub Date : 2020-11-15
    Umang Bhatt; Yunfeng Zhang; Javier Antorán; Q. Vera Liao; Prasanna Sattigeri; Riccardo Fogliato; Gabrielle Gauthier Melançon; Ranganath Krishnan; Jason Stanley; Omesh Tickoo; Lama Nachman; Rumi Chunara; Adrian Weller; Alice Xiang

    Transparency of algorithmic systems entails exposing system properties to various stakeholders for purposes that include understanding, improving, and/or contesting predictions. The machine learning (ML) community has mostly considered explainability as a proxy for transparency. With this work, we seek to encourage researchers to study uncertainty as a form of transparency and practitioners to communicate

    更新日期:2020-11-17
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