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  • Recognizing clinical entities in hospital discharge

    Apr 05, 2013· Tang B, Cao H, Wu Y, Jiang M, Xu H. Proceedings of the ACM Sixth International Workshop on Data and Text Mining in Biomedical Informatics. New York: ACM; 2012. Clinical entity recognition using structural support vector machines with rich features; pp. 1320. [Google Scholar] Joachims T, Finley T, Yu C-NJ.

  • Gold Mining Agent Machine Snail - Scholman Loodgieters

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  • Chemicalome and Metabolome Matching Approach to

    Guoyu Ding, Baiqing Li, Yanqi Han, Aina Liu, Jingru Zhang, Jiamin Peng, Min Jiang, Yuanyuan Hou, Gang Bai. A rapid integrated bioactivity evaluation system based on near-infrared spectroscopy for quality control of Flos Chrysanthemi. Journal of Pharmaceutical and Biomedical Analysis 2016, 131 , 391-399.

  • Min JIANG Professor Ph.D Xiamen University, Xiamen

    Min Jiang currently works at the Department of Artificial Intelligence, Xiamen University. Min does research in Dynamic Multi-objective Optimization Algorithms and Machine Learning. Their current

  • IOS Press Ebooks - Fuzzy Systems and Data Mining IV

    This book presents 114 papers from the 4th International Conference on Fuzzy Systems and Data Mining (FSDM 2018), held in Bangkok, Thailand, from 16 to 19 November 2018. All papers were carefully reviewed by program committee members, who took into consideration the breadth and depth of the research topics that fall within the scope of FSDM.

  • EVOLVING DEEP LEARNING FOR HETEROGENEOUS ROBOTICS

    Jun 21, 2020· EVOLVING DEEP LEARNING FOR HETEROGENEOUS ROBOTICS AND ITS TRANSFER METHOD Effective transfer of knowledge among heterogeneous robots would have significant theoretical value and practical value.

  • PROCEEDINGS Open Access Recognizing clinical entities in

    Machines with word representation features Buzhou Tang 1,2 , Hongxin Cao 3 , Yonghui Wu 1 , Min Jiang 1 , Hua Xu 1* From ACM Sixth International Workshop on Data and Text Mining in Biomedical Informatics (DTMBio 2012)

  • Portfolio Ting Zhang 2020 by Ting Zhang -

    Jul 18, 2020· Min Jiang. Team. Sijia Peng. Role in Team. and Chibuto, etc, are all those names that are spatially aligned with the large mining and mining serving companies. By building machine learning

  • Plenary Sessions - The University of Hong Kong

    Zoom Host: Miss. Min Jiang. ThAT3: Machine Learning and Data Mining [154] An Optimization-Based Process Mining Approach for Explainable Classification of Timed Event Logs. Hugo De Oliveira*, Vincent Augusto, Baptiste JOUANETON, Ludovic LAMARSALLE, Martin PRODEL, Xiaolan Xie

  • Minerals Free Full-Text Detrital Zircon U-Pb Ages in

    Linking marine sinks to potential terrestrial sources is one of most intriguing but challenging aspects of sediment source-to-sink studies. In this study, we analyzed 23 zircon samples (3271 filtered best ages) from surface sediments of the east China seas (ECSs) that cover a large portion of the Bohai Sea, Yellow Sea, East China Sea to part of the northeastern South China Sea. The results of

  • On the smoothing of the norm objective penalty function

    Nov 07, 2020· Min Jiang is a Professor at the Faculty of Zhejiang University of Technology. She received his PhD degrees in Mathematical Sciences in 2005 from Xidian University. Her papers have been published in Journal of Global Optimization, International Journal of Innovative Computing, Information and Control, Numerical Functional Analysis and Optimization, Lecture Notes in Artificial

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    Gold Mining Machinery Sweden. FOB Reference Price:Get Latest Price Gold Mining Machinery Sweden. We are a large-scale manufacturer specialiing in producing various mining machines including different types of sand and gravel equipment milling equipment mineral processing equipment and building materials equipment.

  • An efficient Pearson correlation based improved random

    Oct 01, 2020· The overall process of WPC-IRFC technique is portrayed in Fig. 1 for protein structure prediction with greater accuracy and minimal time. As presented in above Fig. 1, WPC-IRFC technique applied two algorithms in order to achieve higher protein structure detection performance.The WPC-IRFC technique initially selects the relevant amino acid features from big protein DS with the application of

  • Minjiang 150 W Aquarium Heater: Amazon: Pet Supplies

    Dec 25, 2014· Minjiang 150 W Aquarium Heater: Amazon: Pet Supplies. Skip to main content Hello, Sign in. Account & Lists Returns & Orders. Try. Prime Cart. Pet Supplies. Go Search Hello

  • Shan Qin Sim - Singapore Professional Profile LinkedIn

    View Shan Qin Sims profile on LinkedIn, the worlds largest professional community. Shan Qin has 1 job listed on their profile. See the complete profile on LinkedIn and discover Shan Qins connections and jobs at similar companies.

  • Processes Free Full-Text Multi-Objective Nonlinear

    To simultaneously reduce automobile exhaust pollution to the environment and satisfy the demand for high-quality gasoline, the treatment of fluid catalytic cracking (FCC) gasoline is urgently needed to minimize octane number (RON) loss. We presented a new systematic method for determining an optimal operation scheme for minimising RON loss and operational risks.

  • Taiwan launches first Min Jiang-class fast minelayer, laid

    Taiwanese shipbuilder Lung Teh Shipbuilding has launched the first Min Jiang-class fast minelayer for the Republic of China Navy (ROCN). The ship was launched in Lung Teh Shipbuildings facility in Yilan County in March 2020. Also, the shipbuilder held the keel laying ceremony for the 3rd and 4th ships of the class on 17 April 2020.

  • MIN JIANG - Research Scientist - Eli Lilly and Company

    View MIN JIANGS profile on LinkedIn, the worlds largest professional community. MIN has 5 jobs listed on their profile. See the complete profile on LinkedIn and discover MINS connections

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  • Multi-label Feature Selection via Global Relevance and

    In this paper, we propose a general global optimization framework, in which feature relevance, label relevance (i.e., label correlation), and feature redundancy are taken into account, thus facilitating multi-label feature selection. Moreover, the proposed method has an excellent mechanism for utilizing inherent properties of multi-label learning.

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  • (PDF) Transfer Learning-Based Dynamic Multiobjective

    M. JIANG, L. QIU are with the Department of Cognitive Science and Technology and Fujian K ey Lab. of Machine Intelligence and Robotics, Xiamen University , China, Fujian, 361005.

  • PeerJ - Profile - Othman Soufan

    Othman Soufan is an Editor at PeerJ. Bio: Assistant Professor, Alley Heaps Associate, Computer Science Department, St. Francis Xavier University. The Soufan Lab aims to advance life sciences by developing innovative methods, systems and resources for targeted knowledge discovery from biological data.

  • IJERPH Free Full-Text The Relationship between

    This paper analyzes the interaction between regional economic growth and air pollution in China and Korea. The relationship between gross regional product per capita and industrial emission of sulfur dioxide emission is examined at the regional level using simultaneous equation models covering 286 cities in China and 228 cities and counties in South Korea of the period 2006–2016.

  • Mining Biomedical Literature for Terms related to

    Nov 13, 2010· Extracting epidemiologic exposure and outcome terms from literature using machine learning approaches. Lu Y, Xu H, Peterson NB, Dai Q, Jiang M, Denny JC, Liu M. Int J Data Min Bioinform, 6(4):447-459, 01 Jan 2012 Cited by: 0 articles PMID: 23155773

  • Min Jiang - Home

    Extracting epidemiologic exposure and outcome terms from literature using machine learning approaches. Yanxin Lu. Department of Human Anatomy, Histology and Embryology, Fudan University, 138 Yi Xue Yuan Road, Shanghai 200032, China; Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention (MICCAI), Fudan University, 138 Yi Xue Yuan Road,

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  • Min JIANG Professor (Full) Ph.D Jiangnan University

    Min Jiang A. Yiming Under complex environment, such as illumination, posture change and expression change, detection of Face Parts will be difficult and remain challenging.

  • LI LIU - GitHub Pages

    LI LIU Siming South Road 422, Xiamen, China [email protected] [email protected] EDUCATION B.S. in Computational Mathematics (Honor Program) Spetember 2016 - June 2020

  • Emotion Detection in E-learning Using Expectation

    Sep 05, 2017· A new significant area: emotion detection in e-learning using opinion mining techniques. In: 3rd IEEE International Conference on Digital Ecosystems and Technologies, DEST 2009, pp. 259264. IEEE (2009) Google Scholar

  • MDPI Article Reprints Order

    Validity and Internal Consistency of the Preschool-FLAT, a New Tool for the Assessment of Food Literacy in Young Children from the Training-To-Health Project

  • Engineering Raffles City - Worlds Highest Skybridge WSP

    Nov 02, 2020· This multiple award-winning project incorporates advanced district cooling and energy efficient systems designed by WSP. Our project manager, technical director Amy Xiao-Min Jiang, explained how her team worked with the system operators, Singapore Power, to optimise the systems to achieve an energy efficiency improvement of 50%.

  • Research on methodology of document classification based

    Document classification is one of important steps in document mining. In this paper, we present a new kind of document classification method based on generalized learning model (GLM for short). GLM is an extensible machine learning model with great flexibility. It may fuses symbolic learning, fuzzy learning, statistical learning, and neural learning together.

  • Yonghui Wu - Faculty & Staff - The University of Texas

    Yonghui Wu, PhD, MS joined I as a non-tenure track assistant professor focusing on research in January of 2016. Prior to starting his faculty appointment, Wu served as both a research scientist (from 2014 to 2015) and a postdoc research fellow (from 2012 to 2013) working with Professor Hua Xu, PhD on several grant funded research projects here at I.

  • Recognizing Chemical Entities in Biomedical Literature

    test set. We participated in subtask 1 and developed a machine learning-based system using two state-of-the-art sequence labeling algorithms: Conditional Random Fields (CRF) and Structured Support Vector Machines (SSVM). Our best model built on the training set achieved the highest F-measure of 0.81862 for CEM on the development set. Keywords.

  • The 2nd International Conference on Industrial Artificial

    l Prof. Min Jiang ([email protected]), Xiamen University, China support vector machines and kernel methods, autonomous mental development, data mining, pattern recognition, time series analysis, image and signal processing, robotic and control applications, telecommunications,


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