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    (Last updated : 2020-08-08 06:58:23)
  KANEKO Hiromasa
   Department   Undergraduate School  , School of Science and Technology
   Position   Associate Professor
■ Books and Papers
1. 2020/08 Article Ensemble Just-in-time Model Based on Gaussian Process Dynamical Models for Nonlinear and Dynamic Processes, Chemometrics and Intelligent Laboratory Systems  (Collaboration)  Link
2. 2020 Article Porous Self-Assembled Molecular Networks as Templates for Chiral Position-Controlled Chemical Functionalization of Graphitic Surfaces Journal of the American Chemical Society 142(16),pp.7699-7708 (Collaboration)  Link
3. 2019/08 Article Improvement of Predictive Accuracy in Semi-Supervised Regression Analysis by Selecting Unlabeled Chemical Structures Chemometrics and Intelligent Laboratory Systems  (Collaboration)  Link
4. 2019/07 Article Estimation of Predictive Performance for Test Data in Applicability Domains Using y-randomization Journal of Chemometrics  (Single)  Link
5. 2018 Article Automatic Outlier Sample Detection Based on Regression Analysis and Repeated Ensemble Learning Chemometrics and Intelligent Laboratory Systems 177,pp.74-82 (Single) 
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■ Conference Presentations
1. 2018/03/10 Measure of Regression Model Accuracy for Quantitative Structure-Activity(Property) Relationship Considering Applicability Domains (International Congress on Pure & Applied Chemistry (ICPAC))
2. 2017/10/15 Process Design and Process Control Based on Statistical Analysis and Machine Learning Using Big Data (The 8th China-Japan Symposium on Chemical Engineering)
3. 2016/11/17 Visualization of chemical space and protein space considering compound-protein interaction
4. 2016/09/30 Generative Topographic Mapping Visualization Performance Allied to Root Mean Square Error of Midpoints among Nearest Neighbors
5. 2016/07/27 Improvement of Process State Recognition Performance by Noise Reduction. (PSE ASIA 2016)
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■ Academic Qualifications
1. 〔Doctoral course〕 Department of Chemical System Engineering, Graduate School, Division of Engineering, The University of Tokyo, Completed,
■ Social Activities
1. 2015/01~ PSE Asia 2016 National Organization Committee
■ Research Topics, Consignment Studies & KAKENHI Researches
1. 2019/04~2023/03  Research on inverse analysis and scientific interpretation of property prediction models  (Key Word : )
■ Web Sites
   Data Chemical Engineering Laboratory at Meiji University
■ KAKENHI Researcher Number
00625171