• arXiv.cs.CY Pub Date : 2020-09-05
Odikwa Henry; Ifeanyi-Reuben Nkechi; Thom-Manuel Osaki Miller

Social networks have become very popular in recent years because of the increasing large number and affordability of internet enabled gadgets such as personal computers, mobile devices and internet tablets. It has been observed that the tempo of fraud in social media these days is over alarming most especially in Nigeria. As a result of this, there is need to fortify the social network services in

更新日期：2020-09-23
• arXiv.cs.CY Pub Date : 2020-08-30
Mohammad Awis Al Lababede; Anas H. Blasi; Mohammed A. Alsuwaiket

Millions of mosques around the world are suffering some problems such as ventilation and difficulty getting rid of bacteria, especially in rush hours where congestion in mosques leads to air pollution and spread of bacteria, in addition to unpleasant odors and to a state of discomfort during the pray times, where in most mosques there are no enough windows to ventilate the mosque well. This paper aims

更新日期：2020-09-23
• arXiv.cs.CY Pub Date : 2020-09-22
Irene Y. Chen; Emma Pierson; Sherri Rose; Shalmali Joshi; Kadija Ferryman; Marzyeh Ghassemi

The use of machine learning (ML) in health care raises numerous ethical concerns, especially as models can amplify existing health inequities. Here, we outline ethical considerations for equitable ML in the advancement of health care. Specifically, we frame ethics of ML in health care through the lens of social justice. We describe ongoing efforts and outline challenges in a proposed pipeline of ethical

更新日期：2020-09-23
• arXiv.cs.CY Pub Date : 2020-09-22
Vishist Srivastava; Prashant Yadav; Ajuni Singh

The Public Investment Fund (PIF), is Saudi Arabia's sovereign wealth fund. It is one of the world's largest sovereign wealth funds, with an estimated net capital of $382 billion. It was established to invest funds on behalf of the Government of Saudi Arabia. Saudi Arabia is aiming to transfer the PIF from a mere local authority to the world's largest sovereign fund. Thus, PIF is working to manage$400

更新日期：2020-09-23
• arXiv.cs.CY Pub Date : 2020-09-22
Joel Klinger; Juan Mateos-Garcia; Konstantinos Stathoulopoulos

Artificial Intelligence (AI) is being hailed as the latest example of a General Purpose Technology that could transform productivity and help tackle important societal challenges. This outcome is however not guaranteed: a myopic focus on short-term benefits could lock AI into technologies that turn out to be sub-optimal in the longer-run. Recent controversies about the dominance of deep learning methods

更新日期：2020-09-23
• arXiv.cs.CY Pub Date : 2020-09-22
Kovila P. L. Coopamootoo

The steady reports of privacy invasions online paints a picture of the Internet growing into a more dangerous place. This is supported by reports of the potential scale for online harms facilitated by the mass deployment of online technology and the data-intensive web. While Internet users often express concern about privacy, some report taking actions to protect their privacy online. We investigate

更新日期：2020-09-23
• arXiv.cs.CY Pub Date : 2020-09-22
Xiaofei Zhou; Jessica Van Brummelen; Phoebe Lin

Artificial intelligence (AI) literacy is a rapidly growing research area and a critical addition to K-12 education. However, support for designing tools and curriculum to teach K-12 AI literacy is still limited. There is a need for additional interdisciplinary human-computer interaction and education research investigating (1) how general AI literacy is currently implemented in learning experiences

更新日期：2020-09-23
• arXiv.cs.CY Pub Date : 2020-09-22
Shihui Feng; Alec Kirkley

As the COVID-19 pandemic began to sweep across the US it elicited a wide spectrum of responses, both online and offline, across the population. To aid the development of effective spatially targeted interventions in the midst of this turmoil, it is important to understand the geolocalization of these online emotional responses, as well as their association with offline behavioral responses. Here, we

更新日期：2020-09-23
• arXiv.cs.CY Pub Date : 2020-09-22
Sirat Samyoun; Sudipta Saha Shubha; Md Abu Sayeed Mondol; John A. Stankovic

Washing hands properly and frequently is the simplest and most cost-effective interventions to prevent the spread of infectious diseases. People are often ignorant about proper handwashing in different situations and do not know if they wash hands properly. Smartwatches are found to be effective for assessing the quality of handwashing. However, the existing smartwatch based systems are not comprehensive

更新日期：2020-09-23
• arXiv.cs.CY Pub Date : 2020-09-22
Juan Carrillo; Daniel Garijo; Mark Crowley; Rober Carrillo; Yolanda Gil; Katherine Borda

Climate science is critical for understanding both the causes and consequences of changes in global temperatures and has become imperative for decisive policy-making. However, climate science studies commonly require addressing complex interoperability issues between data, software, and experimental approaches from multiple fields. Scientific workflow systems provide unparalleled advantages to address

更新日期：2020-09-23
• arXiv.cs.CY Pub Date : 2020-09-21
Colin M. Gray; Cristiana Santos; Nataliia Bielova; Michael Toth; Damian Clifford

User engagement with data privacy and security through consent banners has become a ubiquitous part of interacting with internet services. While previous work has addressed consent banners from either interaction design, legal, and ethics-focused perspectives, little research addresses the connections among multiple disciplinary approaches, including tensions and opportunities that transcend disciplinary

更新日期：2020-09-23
• arXiv.cs.CY Pub Date : 2020-09-21
Jamie O'Hare; Lynsay A. Shepherd

Despite significant popularity, the bug bounty process has remained broadly unchanged since its inception, with limited implementation of gamification aspects. Existing literature recognises that current methods generate intensive resource demands, and can encounter issues impacting program effectiveness. This paper proposes a novel bug bounty process aiming to alleviate resource demands and mitigate

更新日期：2020-09-23
• arXiv.cs.CY Pub Date : 2020-09-21
Alan Lundgard

How can we build more just machine learning systems? To answer this question, we need to know both what justice is and how to tell whether one system is more or less just than another. That is, we need both a definition and a measure of justice. Theories of distributive justice hold that justice can be measured (in part) in terms of the fair distribution of benefits and burdens across people in society

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-21
Niloofar Bayat; Cody Morrin; Yuheng Wang; Vishal Misra

The synthetic control method is an empirical methodology forcausal inference using observational data. By observing thespread of COVID-19 throughout the world, we analyze the dataon the number of deaths and cases in different regions usingthe power of prediction, counterfactual analysis, and syntheticinterventions of the synthetic control and its extensions. Weobserve that the number of deaths and

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-21
Talayeh Aledavood; Ilkka Kivimäki; Sune Lehmann; Jari Saramäki

Human activities follow daily, weekly, and seasonal rhythms. The emergence of these rhythms is related to physiology and natural cycles as well as social constructs. The human body and biological functions undergo near 24-hour rhythms (circadian rhythms). The frequency of these rhythms is more or less similar across people, but its phase is different. In the chronobiology literature, based on the propensity

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-17
Balagopal Ramdurai

In the current years, due to the significant developments in technologies in almost every domain, the standard of living has been improved. Emergence of latest innovations, advanced machinery and equipment especially in the healthcare domain, have simplified the diagonalizing process to a wide extent.

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-10
Dinh-An Ho; Oya Beyan

In recent years, data science has become an indispensable part of our society. Over time, we have become reliant on this technology because of its opportunity to gain value and new insights from data in any field - business, socializing, research and society. At the same time, it raises questions about how justified we are in placing our trust in these technologies. There is a risk that such powers

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-21
Iva Bojic; Dániel Kondor; Wei Tu; Ke Mai; Paolo Santi; Carlo Ratti

In this paper, we explore existing synergies between private and public transportation as provided by taxi and bus services on the level of individual trips. While these modes are typically separated for economic reasons, in a future with shared Autonomous Vehicles (AVs) providing cheap and efficient transportation services, such distinctions will blur. Consequently, optimization based on real-time

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-20
Huthaifa I. Ashqar; Mohammed Elhenawy; Hesham A. Rakha; Mohammed Almannaa; Leanna House

The paper develops models for modeling the availability of bikes in the San Francisco Bay Area Bike Share System applying machine learning at two levels: network and station. Investigating BSSs at the station-level is the full problem that would provide policymakers, planners, and operators with the needed level of details to make important choices and conclusions. We used Random Forest and Least-Squares

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-20
Nicolas Araque; Germano Rojas; Maria Vitali

Course enrollment recommendation is a relevant task that helps university students decide what is the best combination of courses to enroll in the next term. In particular, recommender system techniques like matrix factorization and collaborative filtering have been developed to try to solve this problem. As these techniques fail to represent the time-dependent nature of academic performance datasets

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-19
Jack K. Horner; John F. Symons

There are many normative and technical questions involved in evaluating the quality of software used in epidemiological simulations. In this paper we answer some of these questions and offer practical guidance to practitioners, funders, scientific journals, and consumers of epidemiological research. The heart of our paper is a case study of the Imperial College London (ICL) COVID-19 simulator. We contend

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-19
Emmanouil Koulas; Marios Anthopoulos; Sotiria Grammenou; Christos Kaimakamis; Konstantinos Kousaris; Fotini-Rafailia Panavou; Orestis Piskioulis; Syed Iftikhar H. Shah; Vasilios Peristeras

The rise of the internet and computational power in recent years allowed for the exponential growth of misinformation phenomena. An issue that was a non-issue a decade ago, became a challenge for societal cohesion. The emergence of this new threat has led many stakeholders, especially in Europe, to act in order to tackle this phenomenon. This paper provides in its first part a literature review on

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-18
Seung Ah Choi

Often, there are suspicious Amazon reviews that seem to be excessively positive or have been created through a repeating algorithm. I moved to detect fake reviews on Amazon through semantic analysis in conjunction with meta data such as time, word choice, and the user who posted. I first came up with several instances that may indicate a review isn't genuine and constructed what the algorithm would

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-08-12
Rudresh Mishra; Ricardo Rodriguez; Valentin Portillo

In a recruitment industry, selecting a best CV from a particular job post within a pile of thousand CV's is quite challenging. Finding a perfect candidate for an organization who can be fit to work within organizational culture is a difficult task. In order to help the recruiters to fill these gaps we leverage the help of AI. We propose a methodology to solve these problems by matching the skill graph

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-17
Maulik R. Kamdar; Michael Carroll; Will Dowling; Linda Wogulis; Cailey Fitzgerald; Matt Corkum; Danielle Walsh; David Conrad; Craig E. Stanley, Jr.; Steve Ross; Dru Henke; Mevan Samarasinghe

Clinicians face several significant barriers to search and synthesize accurate, succinct, updated, and trustworthy medical information from several literature sources during the practice of medicine and patient care. In this talk, we will be presenting our research behind the development of a Focused Clinical Search Service, powered by a Healthcare Knowledge Graph, to interpret the query intent behind

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-08-24
Joshua Vendrow; Jamie Haddock; Deanna Needell; Lorraine Johnson

Lyme disease is a rapidly growing illness that remains poorly understood within the medical community. Critical questions about when and why patients respond to treatment or stay ill, what kinds of treatments are effective, and even how to properly diagnose the disease remain largely unanswered. We investigate these questions by applying machine learning techniques to a large scale Lyme disease patient

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-08-31
Martin Molina

The concept of intelligent system has emerged in information technology as a type of system derived from successful applications of artificial intelligence. The goal of this paper is to give a general description of an intelligent system, which integrates previous approaches and takes into account recent advances in artificial intelligence. The paper describes an intelligent system in a generic way

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-08-28
Irene Y. Chen; Emily Alsentzer; Hyesun Park; Richard Thomas; Babina Gosangi; Rahul Gujrathi; Bharti Khurana

Intimate partner violence (IPV) is an urgent, prevalent, and under-detected public health issue. We present machine learning models to assess patients for IPV and injury. We train the predictive algorithms on radiology reports with 1) IPV labels based on entry to a violence prevention program and 2) injury labels provided by emergency radiology fellowship-trained physicians. Our full dataset includes

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-21
Kristína Zákopčanová; Marko Řeháček; Jozef Bátrna; Daniel Plakinger; Sergej Stoppel; Barbora Kozlíková

The daily routine of criminal investigators consists of a thorough analysis of highly complex and heterogeneous data of crime cases. Such data can consist of case descriptions, testimonies, criminal networks, spatial and temporal information, and virtually any other data that is relevant for the case. Criminal investigators work under heavy time pressure to analyze the data for relationships, propose

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-01
Robin Couret; Carole Adam; Martial Mermillod

Each year, over 15000 requests for mountain rescue are counted in France. Avalanche accidents represent 39\% of reports, and are therefore our focus in this study. Modelling the behaviour of mountain accident victims is useful to develop more accurate rescue and prevention tools. Concretely, we observe the interference of two heuristics (availability and familiarity) in decision making when choosing

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-05
Tharindu Bandaragoda

This thesis develops a conceptual framework considering social data as representing the surface layer of a hierarchy of human social behaviours, needs and cognition which is employed to transform social data into representations that preserve social behaviours and their causalities. Based on this framework two platforms were built to capture insights from fast-paced and slow-paced social data. For

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-02
J Gerard Wolff

This paper describes problems in AI research and how the SP System may help to solve them. Most of the problems are described by leading researchers in AI in interviews with science writer Martin Ford, and reported by him in his book Architects of Intelligence. These problems, each with potential solutions via SP, are: how to overcome the divide between symbolic and non-symbolic kinds of knowledge

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-06
Juan C. Olivares-Rojas; Enrique Reyes-Archundia; José A. Gutiérrez-Gnecchi; Ismael Molina-Moreno

Electricity is an essential comfort to support our daily activities. With the competitive increase and energy costs by the industry, new values and opportunities for delivering electricity to customers are produced. One of these new opportunities is electric vehicles. With the arrival of electric vehicles, various challenges and opportunities are being presented in the electric power system worldwide

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-05
Anis Zaman; Boyu Zhang; Ehsan Hoque; Vincent Silenzio; Henry Kautz

Mental health problems among the global population are worsened during the coronavirus disease (COVID-19). How individuals engage with online platforms such as Google Search and YouTube undergoes drastic shifts due to pandemic and subsequent lockdowns. Such ubiquitous daily behaviors on online platforms have the potential to capture and correlate with clinically alarming deteriorations in mental health

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-12
Blake VanBerlo; Matthew A. S. Ross; Jonathan Rivard; Ryan Booker

We introduce a machine learning approach to predict chronic homelessness from de-identified client shelter records drawn from a commonly used Canadian homelessness management information system. Using a 30-day time step, a dataset for 6521 individuals was generated. Our model, HIFIS-RNN-MLP, incorporates both static and dynamic features of a client's history to forecast chronic homelessness 6 months

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-09
Jungwoo Cho; Yuyol Shin; Seyun Kim; Namwoo Kim; Soohwan Oh; Haechan Cho; Yoonjin Yoon

Battle with COVID-19 turned out to be a marathon, not a sprint, and behavioral adjustments have been unavoidable to stay viable. In this paper, we employ a data-centric approach to investigate individual mobility adaptations and mask-wearing in Seoul, South Korea. We first identify six epidemic phases and two waves based on COVID-19 case count and its geospatial dispersion. The phase-specific linear

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-13
Sarah Friedrich; Gerd Antes; Sigrid Behr; Harald Binder; Werner Brannath; Florian Dumpert; Katja Ickstadt; Hans Kestler; Johannes Lederer; Heinz Leitgöb; Markus Pauly; Ansgar Steland; Adalbert Wilhelm; Tim Friede

The research on and application of artificial intelligence (AI) has triggered a comprehensive scientific, economic, social and political discussion. Here we argue that statistics, as an interdisciplinary scientific field, plays a substantial role both for the theoretical and practical understanding of AI and for its future development. Statistics might even be considered a core element of AI. With

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-10
Saurabh Mishra; Jack Clark; C. Raymond Perrault

As artificial intelligence increasingly influences our world, it becomes crucial to assess its technical progress and societal impact. This paper surveys problems and opportunities in the measurement of AI systems and their impact, based on a workshop held at Stanford University in the fall of 2019. We identify six summary challenges inherent to measuring the progress and impact of AI, and summarize

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-16
Norbert Bátfai

This note is a sketch of how the concept of robopsychology and robophilosophy could be reinterpreted and repositioned in the spirit of the original vocation of psychology and philosophy. The notion of the robopsychology as a fictional science and a fictional occupation was introduced by Asimov in the middle of the last century. The robophilosophy, on the other hand, is only a few years old today. But

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-14
Vaibhav Sourirajan; Anas Belouali; Mary Ann Dutton; Matthew Reinhard; Jyotishman Pathak

Preventing Veteran suicide is a national priority. The US Department of Veterans Affairs (VA) collects, analyzes, and publishes data to inform suicide prevention strategies. Current approaches for detecting suicidal ideation mostly rely on patient self report which are inadequate and time consuming. In this research study, our goal was to automate suicidal ideation detection from acoustic and linguistic

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-17
Tapan Pathak; Vatsal Patel; Sarth Kanani; Shailesh Arya; Pankesh Patel; Muhammad Intizar Ali; John Breslin

The concept of the Internet of Things (IoT) is a reality now. This paradigm shift has caught everyones attention in a large class of applications, including IoT-based video analytics using smart doorbells. Due to its growing application segments, various efforts exist in scientific literature and many video-based doorbell solutions are commercially available in the market. However, contemporary offerings

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-16
Antoine Mazieres; Telmo Menezes; Camille Roth

Gender representation in mass media has long been studied by qualitatively analyzing content. This article illustrates how automated computational methods may be used in this context to scale up such empirical observations and increase their resolution and significance. We specifically apply a face and gender detection algorithm on a broad set of popular movies spanning more than three decades to carry

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-16

Over the past decades, the intense emphasis has been placed on the understanding of car-following behavior and the factors that affect it. The car-following process, however, still remains a very complex field of study in spite of all the efforts. This paper focuses on the study of the effect that the class of the vehicle, leading heavy vehicles in particular, causes on the following vehicle behavior

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-18
Byungsoo Kim; Hongseok Suh; Jaewe Heo; Youngduck Choi

An Intelligent Tutoring System (ITS) has been shown to improve students' learning outcomes by providing a personalized curriculum that addresses individual needs of every student. However, despite the effectiveness and efficiency that ITS brings to students' learning process, most of the studies in ITS research have conducted less effort to design the interface of ITS that promotes students' interest

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-10
Michela Paganini

Irrespective of the specific definition of fairness in a machine learning application, pruning the underlying model affects it. We investigate and document the emergence and exacerbation of undesirable per-class performance imbalances, across tasks and architectures, for almost one million categories considered across over 100K image classification models that undergo a pruning process.We demonstrate

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-21
Shamik Roy; Dan Goldwasser

In this paper we suggest a minimally-supervised approach for identifying nuanced frames in news article coverage of politically divisive topics. We suggest to break the broad policy frames suggested by Boydstun et al., 2014 into fine-grained subframes which can capture differences in political ideology in a better way. We evaluate the suggested subframes and their embedding, learned using minimal supervision

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-20
Francisco Vargas; Ryan Cotterell

Bolukbasi et al. (2016) presents one of the first gender bias mitigation techniques for word embeddings. Their method takes pre-trained word embeddings as input and attempts to isolate a linear subspace that captures most of the gender bias in the embeddings. As judged by an analogical evaluation task, their method virtually eliminates gender bias in the embeddings. However, an implicit and untested

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-19
Richard Knight; Jason R. C. Nurse

A major cyber security incident can represent a cyber crisis for an organisation, in particular because of the associated risk of substantial reputational damage. As the likelihood of falling victim to a cyberattack has increased over time, so too has the need to understand exactly what is effective corporate communication after an attack, and how best to engage the concerns of customers, partners

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-18
Jesse Josua Benjamin; Claudia Müller-Birn; Simon Razniewski

The global infrastructure of the Web, designed as an open and transparent system, has a significant impact on our society. However, algorithmic systems of corporate entities that neglect those principles increasingly populated the Web. Typical representatives of these algorithmic systems are recommender systems that influence our society both on a scale of global politics and during mundane shopping

更新日期：2020-09-22
• arXiv.cs.CY Pub Date : 2020-09-18
T. BarfootUniversity of Toronto Robotics Institute; J. Burgner-KahrsUniversity of Toronto Robotics Institute; E. DillerUniversity of Toronto Robotics Institute; A. GargUniversity of Toronto Robotics Institute; A. GoldenbergUniversity of Toronto Robotics Institute; J. KellyUniversity of Toronto Robotics Institute; X. LiuUniversity of Toronto Robotics Institute; H. E. NaguibUniversity of Toronto Robotics

From disinfection and remote triage, to logistics and delivery, countries around the world are making use of robots to address the unique challenges presented by the COVID-19 pandemic. Robots are being used to manage the pandemic in Canada too, but relative to other regions, we have been more cautious in our adoption -- this despite the important role that robots of Canadian origin are now playing

更新日期：2020-09-21
• arXiv.cs.CY Pub Date : 2020-09-18
Rahim Rahmani; Ramin Firouzi

The Internet of Things(IoT) will revolutionize the Future Internet through ubiquitous sensing. One of the challenges of having the hundreds of billions of devices that are estimated to be deployed would be rise of an enormous amount of data, along with the devices ability to manage. This paper presents an approach as a controller solution and designed specifically for autonomous management, connectivity

更新日期：2020-09-21
• arXiv.cs.CY Pub Date : 2020-09-17
Konstantin Klemmer; Godwin Yeboah; João Porto de Albuquerque; Stephen A Jarvis

We propose a generalizable framework for the population estimation of dense, informal settlements in low-income urban areas--so called 'slums'--using high-resolution satellite imagery. Precise population estimates are a crucial factor for efficient resource allocations by government authorities and NGO's, for instance in medical emergencies. We utilize equitable ground-truth data, which is gathered

更新日期：2020-09-20
• arXiv.cs.CY Pub Date : 2020-09-17
Yassine Himeur; Abullah Alsalemi; Faycal Bensaali; Abbes amira

Consciousness about power consumption at the appliance level can assist user in promoting energy efficiency in households. In this paper, a superior non-intrusive appliance recognition method that can provide particular consumption footprints of each appliance is proposed. Electrical devices are well recognized by the combination of different descriptors via the following steps: (a) investigating the

更新日期：2020-09-20
• arXiv.cs.CY Pub Date : 2020-09-17
Yassine Himeur; Abdullah Alsalemi; Faycal Bensaali; Abbes Amira

In the last decade, extended efforts have been poured into energy efficiency. Several energy consumption datasets were henceforth published, with each dataset varying in properties, uses and limitations. For instance, building energy consumption patterns are sourced from several sources, including ambient conditions, user occupancy, weather conditions and consumer preferences. Thus, a proper understanding

更新日期：2020-09-20
• arXiv.cs.CY Pub Date : 2020-09-17
Pushpendra Rana; Lav R Varshney

Large-scale planting of trees has been proposed as a low-cost natural solution for carbon mitigation, but is hampered by poor selection of plantation sites, especially in developing countries. To aid in site selection, we develop the ePSA (e-Plantation Site Assistant) recommendation system based on algorithm fusion that combines physics-based/traditional forestry science knowledge with machine learning

更新日期：2020-09-20
• arXiv.cs.CY Pub Date : 2020-09-17
Katharina Glomb; Joana Cabral; Anna Cattani; Alberto Mazzoni; Ashish Raj; Benedetta Franceschiello

Computational models lie at the intersection of basic neuroscience and healthcare applications because they allow researchers to test hypotheses \textit{in silico} and predict the outcome of experiments and interactions that are very hard to test in reality. Yet, what is meant by "computational model" is understood in many different ways by researchers in different fields of neuroscience and psychology

更新日期：2020-09-20
• arXiv.cs.CY Pub Date : 2020-09-16
Joshua Garland; Keyan Ghazi-Zahedi; Jean-Gabriel Young; Laurent Hébert-Dufresne; Mirta Galesic

Citizen-generated counter speech is a promising way to fight hate speech and promote peaceful, non-polarized discourse. However, there is a lack of large-scale longitudinal studies of its effectiveness for reducing hate speech. We investigate the effectiveness of counter speech using several different macro- and micro-level measures of over 180,000 political conversations that took place on German

更新日期：2020-09-20
• arXiv.cs.CY Pub Date : 2020-09-17
Yassine Himeur; Abdullah Alsalemi; Faycal Bensaali; Abbes Amira

This paper proposes a new appliance identification scheme by introducing a novel approach for extracting highly discriminative characteristic sets that can considerably distinguish between various appliance footprints. In this context, a precise and powerful characteristic projection technique depending on fuzzy-neighbors-preserving analysis based QR-decomposition (FNPA-QR) is applied on the extracted

更新日期：2020-09-20
• arXiv.cs.CY Pub Date : 2020-09-17
Michael Lyons; Kazunori Morikawa

A model of face representation, inspired by the biology of the visual system, is compared to experimental data on the perception of facial similarity. The face representation model uses aggregate primary visual cortex (V1) cell responses topographically linked to a grid covering the face, allowing comparison of shape and texture at corresponding points in two facial images. When a set of relatively

更新日期：2020-09-20
• arXiv.cs.CY Pub Date : 2020-09-17
Sachiko Kodera; Akimasa Hirata; Fumiaki Miura; Essam A. Rashed; Natsuko Hatsusaka; Naoki Yamamoto; Eri Kubo; Hiroshi Sasaki

Recent epidemiological studies have hypothesized that the prevalence of cortical cataracts is closely related to ultraviolet radiation. However, the prevalence of nuclear cataracts is higher in elderly people in tropical areas than in temperate areas. The dominant factors inducing nuclear cataracts have been widely debated. In this study, the temperature increase in the lens due to exposure to ambient

更新日期：2020-09-20
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