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Publisher Correction: MEMOTE for standardized genome-scale metabolic model testing

Nature biotechnology 2020年第4期38卷 504页

作者： Christian Lieven Moritz E Beber Brett G Olivier Frank T Bergmann Meric Ataman Parizad Babaei Jennifer A Bartell Lars M Blank Siddharth Chauhan Kevin Correia Christian Diener Andreas Dräger Birgitta E Ebert Janaka N Edirisinghe José P Faria Adam M Feist Georgios Fengos Ronan M T Fleming Beatriz García-Jiménez Vassily Hatzimanikatis Wout van Helvoirt Christopher S Henry Henning Hermjakob Markus J Herrgård Ali Kaafarani Hyun Uk Kim Zachary King Steffen Klamt Edda Klipp Jasper J Koehorst Matthias König Meiyappan Lakshmanan Dong-Yup Lee Sang Yup Lee Sunjae Lee Nathan E Lewis Filipe Liu Hongwu Ma Daniel Machado Radhakrishnan Mahadevan Paulo Maia Adil Mardinoglu Gregory L Medlock Jonathan M Monk Jens Nielsen Lars Keld Nielsen Juan Nogales Intawat Nookaew Bernhard O Palsson Jason A Papin Kiran R Patil Mark Poolman Nathan D Price Osbaldo Resendis-Antonio Anne Richelle Isabel Rocha Benjamín J Sánchez Peter J Schaap Rahuman S Malik Sheriff Saeed Shoaie Nikolaus Sonnenschein Bas Teusink Paulo Vilaça Jon Olav Vik Judith A H Wodke Joana C Xavier Qianqian Yuan Maksim Zakhartsev Cheng Zhang Novo Nordisk Foundation Center for Biosustainability Technical University of Denmark Lyngby Denmark. Systems Biology Lab Amsterdam Institute of Molecular and Life Sciences (AIMMS) Vrije Universiteit Amsterdam Amsterdam the Netherlands. BioQUANT/COS Heidelberg University Heidelberg Germany. Ecole Polytechnique Fédérale de Lausanne Laboratory of Computational Systems Biotechnology Lausanne Switzerland. iAMB-Institute of Applied Microbiology ABBt-Aachen Biology and Biotechnology RWTH Aachen University Aachen Germany. Department of Bioengineering University of California La Jolla CA USA. Department of Chemical Engineering and Applied Chemistry University of Toronto Toronto Ontario Canada. Human Systems Biology Laboratory Instituto Nacional de Medicina Genomica & Coordinación de la Investigación Científica-Red de Apoyo a la Investigación UNAM Mexico City Mexico. Institute for Systems Biology Seattle WA USA. Computational Systems Biology of Infection and Antimicrobial-Resistant Pathogens Institute for Biomedical Informatics (IBMI) Tübingen Germany. Department of Computer Science University of Tübingen Tübingen Germany. German Center for Infection Research (DZIF) partner site Tübingen Tübingen Germany. Australian Institute for Bioengineering and Nanotechnology The University of Queensland Brisbane Queensland Australia. Argonne National Laboratory Lemont IL USA. Analytical Biosciences Division of Systems Biomedicine and Pharmacology Leiden Academic Centre for Drug Research Leiden University Leiden the Netherlands. Department of Systems Biology Centro Nacional de Biotecnología Consejo Superior de Investigaciones Científicas (CNB-CSIC) Madrid Spain. Centro de Biotecnología y Genómica de Plantas (CBGP UPM-INIA) Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA) Madrid Spain. Department of Animal and Aquacultural Sciences Faculty of Biosciences Norwegian University of Life Sciences Oslo Norway

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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3D model-based continuous emotion recognition

3D model-based continuous emotion recognition

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Conference on computer Vision and Pattern Recognition (CVPR)

作者： Hui Chen Jiangdong Li Fengjun Zhang Yang Li Hongan Wang Beijing Key Lab of Human-computer Interaction Chinese Academy of Sciences University of Chinese Academy of Sciences State Key Lab of Computer Science Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781467369657

We propose a real-time 3D model-based method that continuously recognizes dimensional emotions from facial expressions in natural communications. In our method, 3D facial models are restored from 2D images, which provide crucial clues for the enhancement of robustness to overcome large changes including out-of-plane head rotations, fast head motions and partial facial occlusions. To accurately recognize the emotion, a novel random forest-based algorithm which simultaneously integrates two regressions for 3D facial tracking and continuous emotion estimation is constructed. Moreover, via the reconstructed 3D facial model, temporal information and user-independent emotion presentations are also taken into account through our image fusion process. The experimental results show that our algorithm can achieve state-of-the-art result with higher Pearson's correlation coefficient of continuous emotion recognition in real time.

关键词： Three-dimensional displays Shape Training Solid modeling Emotion recognition Robustness Image fusion

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Crossing HCI and health: Advancing health and wellness technology research in home and community settings 33

Crossing HCI and health: Advancing health and wellness techn...

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33rd Annual CHI Conference on human Factors in Computing Systems, CHI EA 2015

作者： Lennon, Marilyn Baillie, Lynne Hoonhout, Jettie Robertson, Judy Fitzpatrick, Geraldine Mobiquitous Lab Computer and Information Sciences University of Strathclyde Glasgow United Kingdom Interactive and Trustworthy Technologies Group Glasgow Caledonian University Glasgow United Kingdom Experiences Research Department Philips Research Netherlands Digital Education Edinburgh University Edinburgh United Kingdom Head of Human Computer Interaction Group Vienna University of Technology Vienna Austria

ISBN: (纸本)9781450331463

The ubiquity of mobile technology and advances in wearable health and well-being technologies offer exciting opportunities for technology supported home and community care. But are we ready for digitally enabled self-care? How can the CHI community share best practices and methods in order to continue to advance research that crosses methodological and cultural boundaries between Health and HCI? This workshop will bring together key researchers working in and across both HCI and Health to share these existing challenges and opportunities for digital health research and practice and to continue to build capacity in the crossings between HCI and health.

关键词： human computer interaction

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Coping with bad-mouthing in peer-to-peer file sharing networks

Coping with bad-mouthing in peer-to-peer file sharing networ...

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International Conference on Peer-to-Peer Computing

作者： Muhammad Irfan Yousuf Suhyun Kim Human Computer Interaction and Robotics Department Imaging Media Research Center University of Science and Technology Korea Institute of Science and Technology Seoul Korea

In the recent years, the P2P file sharing systems have adopted rating systems in the hope to stop the propagation of bad files. In a rating system, users rate files after downloading and a file with positive feedback is considered a good file. However, a dishonest rater can undermine the rating system by giving positive rating to bad files and negative rating to good files. In this paper, we design two filters based on probabilistic models such that the good files with negative feedback are not completely kept out of the system. The first filter is based on the binomial distribution of the ratings of a file, and the second filter considers the confidence of the downloading peer and the difference of positive and negative ratings of a file to calculate the probability to take a risk to download the file or reject it. Our filters only need the ratings of a file and this makes them suitable for popular torrent sharing websites that rank the files using a binary rating system without any information about raters. In addition, we can implement them entirely on the client side without any modification to the content sharing sites.

关键词： Peer-to-peer computing Probability Probability density function Probabilistic logic Predictive models Data models Radiation detectors

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Threefolded motion perception during immersive walkthroughs 14

Threefolded motion perception during immersive walkthroughs

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20th ACM Symposium on Virtual Reality Software and Technology, VRST 2014

作者： Bruder, Gerd Steinicke, Frank Human-Computer Interaction Department of Computer Science University of Hamburg Germany

ISBN: (纸本)9781450332538

Locomotion is one of the most fundamental processes in the real world, and its consideration in immersive virtual environments (IVEs) is of major importance for many application domains requiring immersive walkthroughs. From a simple physics perspective, such self-motion can be defined by the three components speed, distance, and time. Determining motions in the frame of reference of a human observer imposes a significant challenge to the perceptual processes in the human brain, and the resulting speed, distance, and time percepts are not always veridical. In previous work in the area of IVEs, these components were evaluated in separate experiments, i. e., using largely different hardware, software and protocols. In this paper we analyze the perception of the three components of locomotion during immersive walkthroughs using the same setup and similar protocols. We conducted experiments in an Oculus Rift head-mounted display (HMD) environment which showed that subjects largely underestimated virtual distances, slightly underestimated virtual speed, and we observed that subjects slightly overestimated elapsed time. Copyright © 2014 by the Association for Computing Machinery, Inc (ACM).

关键词： Helmet mounted displays

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A machine learning method to distinguish machine translation from human translation 29

A machine learning method to distinguish machine translation...

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29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015

作者： Li, Yitong Wang, Rui Zhai, Hai Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai200240 China Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Shanghai Jiao Tong University Shanghai200240 China

This paper introduces a machine learning ap-proach to distinguish machine translation texts from human texts in the sentence level au-Tomatically. In stead of traditional methods, we extract some linguistic features only from the target language side to train the predic-Tion model and these features are independent of the source language. Our prediction mod-el presents an indicator to measure how much a sentence generated by a machine translation system looks like a real human translation. Furthermore, the indicator can directly and ef-fectively enhance statistical machine transla-Tion systems, which can be proved as BLEU score improvements.

关键词： Machine translation

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Leveraging and integrating Eastern and Western insights for human engagement studies in HCI 33

Leveraging and integrating Eastern and Western insights for ...

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33rd Annual CHI Conference on human Factors in Computing Systems, CHI EA 2015

作者： Law, Effie Lai-Chong Silpasuwanchai, Chaklam Ren, Xiangshi Bardzell, Jeffrey Clemmensen, Torkil Liu, Yan Department of Computer Science University of Leicester LeicesterLEI 7RH United Kingdom School of Information Kochi University of Technology Kami-Kochi Japan Centre for Human Computer Interaction Kochi University of Technology Kami-Kochi Japan School of Informatics and Computing Indiana University United States Dept. of IT Management Copenhagen Business School Denmark Department of Computing Hong Kong Polytechnic University Hong Kong

ISBN: (纸本)9781450331463

human engagement is at the heart of every interactive technology. However, a concrete framework for synergizing the capabilities of humans and technologies to allow fully engaging interactions to happen is yet to be developed. We posit that such a framework should be grounded in a deeper understanding of human nature (e.g., mind-body relations), which in the field of HCI has primarily been built upon the Western philosophies. There are scattered, underexplored Eastern philosophies (e.g., Yijing, Zen) that may provide new lens and tools to analyze how humans interact with resources in their environments, including technological artefacts. Discussions of leveraging and possibly integrating Eastern and Western insights for human engagement studies will be an exciting and a radical forum for the HCI community.

关键词： Philosophical aspects

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English to Chinese translation: How Chinese character matters? 29

English to Chinese translation: How Chinese character matter...

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29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015

作者： Wang, Rui Zhao, Hai Lu, Bao-Liang Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai200240 China Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Shanghai Jiao Tong University Shanghai200240 China

Word segmentation is helpful in Chinese natural language processing in many aspects. However it is showed that different word segmentation strategies do not affect the performance of Statistical Machine Translation (SMT) from English to Chinese significantly. In addition, it will cause some confusions in the evaluation of English to Chinese SMT. So we make an empirical attempt to translation English to Chinese in the character level, in both the alignment model and language model. A series of empirical comparison experiments have been conducted to show how different factors affect the performance of character-level English to Chinese SMT. We also apply the recent popular continuous s- pace language model into English to Chinese SMT. The best performance is obtained with the BLEU score 41.56, which improve base- line system (40.31) by around 1.2 BLEU s- core.

关键词： computer aided language translation

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Neural network language model for Chinese pinyin input method engine 29

Neural network language model for Chinese pinyin input metho...

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29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015

作者： Chen, Shen-Yuan Wang, Rui Zhao, Hai Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai200240 China Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Shanghai Jiao Tong University Shanghai200240 China

Neural network language models (NNLMs) have been shown to outperform traditional n-gram language model. However, too high computational cost of NNLMs becomes the main obstacle of directly integrating it into pinyin IME that normally requires a real-Time response. In this paper, an efficient solution is proposed by converting NNLMs into back-off n-gram language models, and we integrate the converted NNLM into pinyin IME. Our exper-imental results show that the proposed method gives better decoding predictive performance for pinyin IME with satisfied efficiency.

关键词： Computational linguistics

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High-order graph-based neural dependency parsing 29

High-order graph-based neural dependency parsing

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29th Pacific Asia Conference on Language, Information and Computation, PACLIC 2015

作者： Zhang, Zhisong Zhao, Hai Center for Brain-Like Computing and Machine Intelligence Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai200240 China Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Shanghai Jiao Tong University Shanghai200240 China

In this work, we present a novel way of using neural network for graph-based dependency parsing, which fits the neural network into a simple probabilistic model and can be furthermore generalized to high-order parsing. Instead of the sparse features used in traditional methods, we utilize distributed dense feature representations for neural network, which give better feature representations. The proposed parsers are evaluated on English and Chinese Penn Treebanks. Compared to existing work, our parsers give competitive performance with much more efficient inference.

关键词： Graphic methods

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