His Artificial intelligence study has been linked to subjects such as Selection (genetic algorithm), Feature selection, Pattern recognition (psychology), Support vector machine and Ensemble learning. His research brings together the fields of Artificial intelligence and Pattern recognition (psychology). He applies the principles of Quantitative structure–activity relationship, Selection (genetic algorithm), Feature selection, Partial least squares regression, Support vector machine and Ensemble learning in his work under Machine learning. His study on Statistics is interrelated to topics such as Regression and Regression analysis. He conducts interdisciplinary study in the fields of Regression analysis and Statistics through his works. He conducted interdisciplinary study in his works that combined Process (computing) and Operating system. His Operating system study frequently links to other fields, such as Soft sensor. His Soft sensor study frequently links to related topics such as Process (computing). He integrates Mathematical analysis with Variable (mathematics) in his research.
His Artificial intelligence study often links to related topics such as Pattern recognition (psychology). Many of his studies on Pattern recognition (psychology) involve topics that are commonly interrelated, such as Artificial intelligence. He connects Machine learning with Data mining in his research. With his scientific publications, his incorporates both Data mining and Machine learning. In most of his Statistics studies, his work intersects topics such as Regression. Many of his studies on Regression apply to Statistics as well. Kimito Funatsu integrates Biological system and Biochemistry in his studies. Borrowing concepts from Biological system, Kimito Funatsu weaves in ideas under Biochemistry. Operating system is closely attributed to Soft sensor in his research.
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MassBank: a public repository for sharing mass spectral data for life sciences.
Hisayuki Horai;Masanori Arita;Masanori Arita;Shigehiko Kanaya;Yoshito Nihei.
Journal of Mass Spectrometry (2010)
GA strategy for variable selection in QSAR studies: GA-based PLS analysis of calcium channel antagonists.
Kiyoshi Hasegawa;Yoshikatsu Miyashita;Kimito Funatsu.
Journal of Chemical Information and Computer Sciences (1997)
Rethinking drug design in the artificial intelligence era
Petra Schneider;W. Patrick Walters;Alleyn T. Plowright;Norman Sieroka.
Nature Reviews Drug Discovery (2020)
Genetic algorithm-based wavelength selection method for spectral calibration
Masamoto Arakawa;Yosuke Yamashita;Kimito Funatsu.
Journal of Chemometrics (2011)
Development of a new soft sensor method using independent component analysis and partial least squares
Hiromasa Kaneko;Masamoto Arakawa;Kimito Funatsu.
Aiche Journal (2009)
SOPHIA, A KNOWLEDGE BASE-GUIDED REACTION PREDICTION SYSTEM-UTILIZATION OF A KNOWLEDGE BASE DERIVED FROM A REACTION DATABASE
Hiroko Satoh;Kimito Funatsu.
Journal of Chemical Information and Computer Sciences (1995)
GA strategy for variable selection in QSAR studies: application of GA-based region selection to a 3D-QSAR study of acetylcholinesterase inhibitors.
Kiyoshi Hasegawa;Toshiro Kimura;Kimito Funatsu.
Journal of Chemical Information and Computer Sciences (1999)
Further development of structure generation in the automated structure elucidation system CHEMICS
Kimito Funatsu;Nobuyoshi Miyabayashi;Shin-ichi Sasaki.
Journal of Chemical Information and Computer Sciences (1988)
Adaptive soft sensor based on online support vector regression and Bayesian ensemble learning for various states in chemical plants
Hiromasa Kaneko;Kimito Funatsu.
Chemometrics and Intelligent Laboratory Systems (2014)
Feature selection by genetic algorithms for mass spectral classifiers
H Yoshida;R Leardi;K Funatsu;K Varmuza.
Analytica Chimica Acta (2001)
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