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Overview of PAN’17: Author identification, author profiling, and author obfuscation 8th

8th International Conference of the CLEF Association, CLEF 2017

作者： Potthast, Martin Rangel, Francisco Tschuggnall, Michael Stamatatos, Efstathios Rosso, Paolo Stein, Benno Web Technology and Information Systems Bauhaus-Universität Weimar Weimar Germany Valencia Spain Department of Computer Science University of Innsbruck Innsbruck Austria Department of Information and Communication Systems Engineering University of the Aegean Samos Greece PRHLT Research Center Universitat Politècnica de València Valencia Spain

ISBN: (纸本)9783319658124

The PAN 2017 shared tasks on digital text forensics were held in conjunction with the annual CLEF conference. This paper gives a high-level overview of each of the three shared tasks organized this year, namely author identification, author profiling, and author obfuscation. For each task, we give a brief summary of the evaluation data, performance measures, and results obtained. Altogether, 29Â participants submitted a total of 33Â pieces of software for evaluation, whereas 4Â participants submitted to more than one task. All submitted software has been deployed to the TIRA evaluation platform, where it remains hosted for reproducibility purposes. © Springer International Publishing AG 2017.

关键词： Data obfuscation

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Quality control in crowdsourcing: A survey of quality attributes, assessment techniques and assurance actions

arXiv

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arXiv 2018年

作者： Daniel, Florian Kucherbaev, Pavel Cappiello, Cinzia Benatallah, Boualem Allahbakhsh, Mohammad Politecnico di Milano DEIB Via Ponzio 34/5 Milano20133 Italy EEMCS Web Information System P.O. Box 5031 Delft2600 GA Netherlands University of New South Wales CSE SydneyNSW2052 Australia University of Zabol Computer Department Faculty of Engineering Zabol Iran

Crowdsourcing enables one to leverage on the intelligence and wisdom of potentially large groups of individuals toward solving problems. Common problems approached with crowdsourcing are labeling images, translating or transcribing text, providing opinions or ideas, and similar – all tasks that computers are not good at or where they may even fail altogether. The introduction of humans into computations and/or everyday work, however, also poses critical, novel challenges in terms of quality control, as the crowd is typically composed of people with unknown and very diverse abilities, skills, interests, personal objectives and technological resources. This survey studies quality in the context of crowdsourcing along several dimensions, so as to define and characterize it and to understand the current state of the art. Specifically, this survey derives a quality model for crowdsourcing tasks, identifies the methods and techniques that can be used to assess the attributes of the model, and the actions and strategies that help prevent and mitigate quality problems. An analysis of how these features are supported by the state of the art further identifies open issues and informs an outlook on hot future research directions. Copyright © 2018, The Authors. All rights reserved.

关键词： Crowdsourcing

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Synergistic interactions promote behavior spreading and alter phase transitions on multiplex networks

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Physical Review E 2018年第2期97卷 022311-022311页

作者： Quan-Hui Liu Wei Wang Shi-Min Cai Ming Tang Ying-Cheng Lai Web Sciences Center School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 China Big Data Research Center University of Electronic Science and Technology of China Chengdu 611731 China Laboratory for the Modeling of Biological and Socio-technical Systems Northeastern University Boston Massachusetts 02115 USA College of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing 400065 China Center for Polymer Studies and Department of Physics Boston University Boston Massachusetts 02215 USA School of Information Science Technology East China Normal University Shanghai 200241 China School of Electrical Computer and Energy Engineering Arizona State University Tempe Arizona 85287 USA

Synergistic interactions are ubiquitous in the real world. Recent studies have revealed that, for a single-layer network, synergy can enhance spreading and even induce an explosive contagion. There is at the present a growing interest in behavior spreading dynamics on multiplex networks. What is the role of synergistic interactions in behavior spreading in such networked systems? To address this question, we articulate a synergistic behavior spreading model on a double layer network, where the key manifestation of the synergistic interactions is that the adoption of one behavior by a node in one layer enhances its probability of adopting the behavior in the other layer. A general result is that synergistic interactions can greatly enhance the spreading of the behaviors in both layers. A remarkable phenomenon is that the interactions can alter the nature of the phase transition associated with behavior adoption or spreading dynamics. In particular, depending on the transmission rate of one behavior in a network layer, synergistic interactions can lead to a discontinuous (first-order) or a continuous (second-order) transition in the adoption scope of the other behavior with respect to its transmission rate. A surprising two-stage spreading process can arise: due to synergy, nodes having adopted one behavior in one layer adopt the other behavior in the other layer and then prompt the remaining nodes in this layer to quickly adopt the behavior. Analytically, we develop an edge-based compartmental theory and perform a bifurcation analysis to fully understand, in the weak synergistic interaction regime where the dynamical correlation between the network layers is negligible, the role of the interactions in promoting the social behavioral spreading dynamics in the whole system.

关键词： Cascades Percolation phase transition Spreading

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Synergistic interactions promote behavior spreading and alter phase transition on multiplex Networks

arXiv

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arXiv 2018年

作者： Liu, Quan-Hui Wang, Wei Cai, Shi-Min Tang, Ming Lai, Ying-Cheng Web Sciences Center School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu611731 China Big Data Research Center University of Electronic Science and Technology of China Chengdu611731 China Laboratory for Modeling of Biological and Socio-technical Systems Northeastern University BostonMA02115 United States College of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing400065 China Center for Polymer Studies and Department of Physics Boston University BostonMA02215 United States School of Information Science Technology East China Normal University Shanghai200241 China School of Electrical Arizona State University Computer and Energy Engineering TempeAZ85287 United States

Synergistic interactions are ubiquitous in the real world. Recent studies have revealed that, for a single-layer network, synergy can enhance spreading and even induce an explosive contagion. There is at the present a growing interest in behavior spreading dynamics on multiplex networks. What is the role of synergistic interactions in behavior spreading in such networked systems? To address this question, we articulate a synergistic behavior spreading model on a double layer network, where the key manifestation of the synergistic interactions is that the adoption of one behavior by a node in one layer enhances its probability of adopting the behavior in the other layer. A general result is that synergistic interactions can greatly enhance the spreading of the behaviors in both layers. A remarkable phenomenon is that the interactions can alter the nature of the phase transition associated with behavior adoption or spreading dynamics. In particular, depending on the transmission rate of one behavior in a network layer, synergistic interactions can lead to a discontinuous (first-order) or a continuous (second-order) transition in the adoption scope of the other behavior with respect to its transmission rate. A surprising two-stage spreading process can arise: Due to synergy, nodes having adopted one behavior in one layer adopt the other behavior in the other layer and then prompt the remaining nodes in this layer to quickly adopt the behavior. Analytically, we develop an edge-based compartmental theory and perform a bifurcation analysis to fully understand, in the weak synergistic interaction regime where the dynamical correlation between the network layers is negligible, the role of the interactions in promoting the social behavioral spreading dynamics in the whole system. Copyright © 2018, The Authors. All rights reserved.

关键词： Network layers

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A community-powered search of machine learning strategy space to find NMR property prediction models

arXiv

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arXiv 2020年

作者： Bratholm, Lars A. Gerrard, Will Anderson, Brandon Bai, Shaojie Choi, Sunghwan Dang, Lam Hanchar, Pavel Howard, Addison Huard, Guillaume Kim, Sanghoon Kolter, Zico Kondor, Risi Kornbluth, Mordechai Lee, Youhan Lee, Youngsoo Mailoa, Jonathan P. Nguyen, Thanh Tu Popovic, Milos Rakocevic, Goran Reade, Walter Song, Wonho Stojanovic, Luka Thiede, Erik H. Tijanic, Nebojsa Torrubia, Andres Willmott, Devin Butts, Craig P. Glowacki, David R. Participants, Kaggle School of Chemistry University of Bristol Cantock’s Close BristolBS8 1TS United Kingdom School of Mathematics University of Bristol Fry Building Woodland Road BristolBS1 1UG United Kingdom Dept. of Computer Science University of Bristol Merchant Venturer’s Building BristolBS8 1UB United Kingdom Intangible Realities Laboratory University of Bristol Cantock’s Close BristolBS8 1TS United Kingdom Bosch Center for Artificial Intelligence PittsburghPA15222 United States Carnegie Mellon University PittsburghPA15213 United States National Institute of Supercomputing and Network Korea Institute of Science and Technology Information 245 Daehak-ro Yuseong-gu Daejeon34141 Korea Republic of BNP Paribas Cardif Fyusion Inc. Kaggle Google Inc. Mountain View United States Ebay Korea 34F Gangnam Finance Center 152 Teheran Ro Gangnam Gu Seoul Korea Republic of Department of Computer Science University of Chicago 5730 S Ellis Ave ChicagoIL60637 United States Department of Statistics University of Chicago 5747 S Ellis Ave ChicagoIL60637 United States Center for Computational Mathematics Flatiron Institute 162 5th Ave. New YorkNY10010 United States Bosch Research and Technology Center CambridgeMA02139 United States Department of Chemical and Biomolecular Engineering Korea Advanced Institute of Science and Technology 291 Daehak-ro Yuseong-gu Daejeon34141 Korea Republic of 111 Daedeok-daero 989beon-gil Yuseong-gu Daejeon Korea Republic of MINDS AND COMPANY 2621 Nambusunhwan-ro Gangnam-gu Seoul06267 Korea Republic of Totient Inc Sindjeliceva 9 Belgrade11000 Serbia KAIST Web Security & Privacy Lab 291 Daehak-ro Yuseong-guDaejeon34141 Korea Republic of *** Alicante Spain

The rise of machine learning (ML) has created an explosion in the potential strategies for using data to make scientific predictions. For physical scientists wishing to apply ML strategies to a particular domain, it can be difficult to assess in advance what strategy to adopt within a vast space of possibilities. Here we outline the results of an online community-powered effort to swarm search the space of ML strategies and develop algorithms for predicting atomic-pairwise nuclear magnetic resonance (NMR) properties in molecules. Using an open-source dataset, we worked with Kaggle to design and host a 3-month competition which received 47,800 ML model predictions from 2,700 teams in 84 countries. Within 3 weeks, the Kaggle community produced models with comparable accuracy to our best previously published ‘in-house’ efforts. A meta-ensemble model constructed as a linear combination of the top predictions has a prediction accuracy which exceeds that of any individual model, 7-19x better than our previous state-of-the-art. The results highlight the potential of transformer architectures for predicting quantum mechanical (QM) molecular properties. Copyright © 2020, The Authors. All rights reserved.

关键词： Nuclear magnetic resonance

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MOBILE information SYSTEMS

引用

China Communications 2015年第12期12卷 I0002-I0003页

作者： WANG Shangguang Ching-Hsien Hsu David Taniar Patrick Hung Beijing University of Posts and Telecommunications department of computer science and information engineering at Chung Hua University Taiwan China the Faculty of Information Technology Monash UniversityAustralia University of Ontario Institute of Technology Canada the IEEE Transactions on Services Computing International Journal of Web Services Research and International Journal of Business Process and Integration Management the Information Systems Frontiers by Springer

With the popularity of mobile infrastructures providing higher bandwidth and constant connection to the network from virtually anytime and everywhere,the way people use information resources is radically *** can use mobile devices such as mobile phones,pocket PCs,laptops,etc.,to obtain services/applications which are based on the mobile

关键词：移动信息系统管理信息系统信息资源笔记本电脑基础设施移动设备掌上电脑应用程序

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Preface

引用

CEUR Workshop Proceedings 2017年 1826卷

作者： Kopp, Oliver Lenhard, Jörg Pautasso, Cesare University of Stuttgart Institute for Parallel and Distributed Systems Universitätsstraße 38 StuttgartDE70569 Germany Karlstad University Department of Mathematics and Computer Science Universitetsgatan 2 KarlstadSE65188 Sweden USI Faculty of Informatics Architecture Design and Web Information Systems Engineering Research Group Via Buffi 13 LuganoCH6900 Switzerland

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Cloud agency: A guide through the clouds

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Mondo Digitale 2014年第49期13卷

作者： Aversa, Rocco Tasquier, Luca Venticinque, Salvatore University of Naples International Journal of Web Science Italy Computer and Electronic Engineering Department of Industrial and Information Engineering Italy Second University of Naples Computer Programming and Computer Architecture Italy

Cloud Computing is a new technology that has rapidly established itself in computer science since it allows the usage of huge computing resources that are dynamically allocated in order to satisfy user's needs and that are accessible as a service through a remote interface, such as a web browser. Cloud resources can be distributed in different places and such distribution is made transparent to the user;this one does not need to worry about data replication and/or maintenance of the infrastructure but he/she benefits only of the required services, by exploiting the Pay-Per-Use business model. In this context, the interoperability among different providers becomes critical due to the vendor lock-in problem. Here we present a multi agent system that accesses, on behalf of the user, the utility market of Cloud computing to maintain the best resources configuration that satisfies the application requirements. It also offers management and monitoring facilities for the Cloud infrastructure in order to guide the user in all the phases of the application's lifecycle. Together with the platform, we present client-side tools that can be used to orchestrate agents' based services.

关键词： Mobile agents

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Peer pressure: Enhancement of cooperation through mutual punishment

引用

Physical Review E 2015年第2期91卷 022121-022121页

作者： Han-Xin Yang Zhi-Xi Wu Zhihai Rong Ying-Cheng Lai Department of Physics Fuzhou University Fuzhou 350108 China Institute of Computational Physics and Complex Systems Lanzhou University Lanzhou Gansu 730000 China CompleX Lab Web Sciences Center University of Electronic Science and Technology of China Chengdu 610054 China Department of Electronic and Information Engineering The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong School of Electrical Computer and Energy Engineering Arizona State University Tucson Arizona 85287 USA

An open problem in evolutionary game dynamics is to understand the effect of peer pressure on cooperation in a quantitative manner. Peer pressure can be modeled by punishment, which has been proved to be an effective mechanism to sustain cooperation among selfish individuals. We investigate a symmetric punishment strategy, in which an individual will punish each neighbor if their strategies are different, and vice versa. Because of the symmetry in imposing the punishment, one might intuitively expect the strategy to have little effect on cooperation. Utilizing the prisoner's dilemma game as a prototypical model of interactions at the individual level, we find, through simulation and theoretical analysis, that proper punishment, when even symmetrically imposed on individuals, can enhance cooperation. Also, we find that the initial density of cooperators plays an important role in the evolution of cooperation driven by mutual punishment.

关键词： PEER pressure PUNISHMENT GAME theory in biology SYMMETRY (Mathematics) COOPERATIVE games (Mathematics)

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Degree-based link scheduling for collision avoidance in distributed wireless sensor networks 14

Degree-based link scheduling for collision avoidance in dist...

引用

8th International Conference on Ubiquitous information Management and Communication, ICUIMC 2014

作者： Myoung, Sung Ho Kim, Dongsoo S. Choo, Hyunseung Kim, Mihui College of Information and Communication Engineering Sungkyunkwan University Korea Republic of Department of Computer and Web Information Engineering Computer System Institute Hankyong National University Korea Republic of Indiana University-Purdue University Indianapolis United States

ISBN: (纸本)9781450326445

Wireless sensor networks consist of multiple sensor nodes, which communicate with each other under the constrained energy. Retransmissions caused by collision and interference during the communication among sensor nodes increase the transmission delay and reduce the energy efficiency. Link scheduling schemes are incorporated in the WSNs to improve the efficiency of the transmission among the sensor nodes. For collision and interference free communication in WSNs, TDMA based link scheduling schemes (i.e., sensors have the same wireless channel but different timeslots) have been researched. This paper proposes a degree-based link scheduling scheme to reduce the schedule length which eventually decreases the overall transmission delay. To decrease the schedule length, the proposed scheme assigns a time slot to all available links based on a collision avoidance maximal independent link set. Our simulation results show that the proposed scheme reduces the schedule length by maximum 71% in comparison to an existing scheme, DCLS. Copyright 2014 ACM.

关键词： Collision avoidance

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