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ORCIDHiroyuki Honda
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2010 – 2019
- 2018
[c9]Yusuke Maeda
, Hideki Tsuruga, Hiroyuki Honda, Shota Hirono:
Unknown Object Detection by Punching: An Impacting-Based Approach to Picking Novel Objects. IAS 2018: 668-678- 2015
- [j10]Tatsuya Ando, Ryuji Kato, Hiroyuki Honda:
Differential variability and correlation of gene expression identifies key genes involved in neuronal differentiation. BMC Syst. Biol. 9: 82 (2015) - 2012
- [j9]Yasunori Ushida, Ryuji Kato, Kosuke Niwa, Daisuke Tanimura, Hideo Izawa, Kenji Yasui, Tomokazu Takase, Yasuko Yoshida, Mitsuo Kawase, Tsutomu Yoshida, Toyoaki Murohara, Hiroyuki Honda:
Combinational risk factors of metabolic syndrome identified by fuzzy neural network analysis of health-check data. BMC Medical Informatics Decis. Mak. 12: 80 (2012)
2000 – 2009
- 2007
- [j8]Yasuyuki Tomita, Hiroyuki Asano, Hideo Izawa, Mitsuhiro Yokota, Takeshi Kobayashi, Hiroyuki Honda:
Classification Method for Predicting the Development of Myocardial Infarction by Using the Interaction between Genetic and Environmental Factors. Inf. Media Technol. 2(1): 115-133 (2007) - 2006
- [j7]Hiro Takahashi, Hiroyuki Honda:
Modified signal-to-noise: a new simple and practical gene filtering approach based on the concept of projective adaptive resonance theory (PART) filtering method. Bioinform. 22(13): 1662-1664 (2006) - [j6]Hiro Takahashi, Takeshi Nemoto, Teruhiko Yoshida, Hiroyuki Honda, Tadashi Hasegawa:
Cancer diagnosis marker extraction for soft tissue sarcomas based on gene expression profiling data by using projective adaptive resonance theory (PART) filtering method. BMC Bioinform. 7: 399 (2006) - 2005
- [j5]Hiro Takahashi, Takeshi Kobayashi, Hiroyuki Honda:
Construction of robust prognostic predictors by using projective adaptive resonance theory as a gene filtering method. Bioinform. 21(2): 179-186 (2005) - [c8]Yasuyuki Tomita, Hiroyuki Honda, Mitsuhiro Yokota:
Classification method for prediction of multifactorial disease development using interaction between genetic and environmental factors. CSB Workshops 2005: 247-248 - 2004
- [j4]Yasuyuki Tomita, Shuta Tomida, Yuko Hasegawa, Yoichi Suzuki, Taro Shirakawa, Takeshi Kobayashi, Hiroyuki Honda:
Artificial neural network approach for selection of susceptible single nucleotide polymorphisms and construction of prediction model on childhood allergic asthma. BMC Bioinform. 5: 120 (2004) - 2003
- [j3]Taizo Hanai, Toshihiko Ohki, Hiroyuki Honda, Takeshi Kobayashi:
Analysis of initial conditions for polymerization reaction using fuzzy neural network and genetic algorithm. Comput. Chem. Eng. 27(7): 1011-1019 (2003) - 2002
- [j2]Shuta Tomida, Taizo Hanai, Hiroyuki Honda, Takeshi Kobayashi:
Analysis of expression profile using fuzzy adaptive resonance theory. Bioinform. 18(8): 1073-1083 (2002) - 2000
- [c7]Shin Hibino, Taizo Hanai, Erika Nagata, Michitaka Matsubara, Kazutoshi Fukagawa, Tatsuaki Shirataki, Hiroyuki Honda, Takeshi Kobayashi:
An Assessment System of Dementia of Alzheimer Type Using Artificial Neural Networks. ANNIMAB 2000: 180-185 - [c6]Taizo Hanai, Shuta Tomida, Hiroyuki Honda, Takeshi Kobayashi:
A Simulation Model for Activated Sludge Process Using Fuzzy Neural Network. ANNIMAB 2000: 253-258 - [c5]Miki Haseyama, Megumi Takezawa, Hiroyuki Honda, Hideo Kitajima:
An IFS-based image restoration method for impulsive noise contamination. ISCAS 2000: 593-596
1990 – 1999
- 1999
- [c4]Megumi Takezawa, Hiroyuki Honda, Junichi Miura, Miki Haseyama, Hideo Kitajima:
A Genetic-Algorithm Based Quantization Method for Fractal Image Coding. ICIP (1) 1999: 458-461 - [c3]Hiroyuki Honda, Miki Haseyama, Hideo Kitajima:
Fractal Interpolation for Natural Images. ICIP (3) 1999: 657-665 - 1997
- [c2]Hiroyuki Honda, Miki Haseyama, Hideo Kitajima, S. Matsumoto:
Extension of the Collage Theorem. ICIP (2) 1997: 306-309 - 1996
- [j1]Hiroyuki Honda, Miki Haseyama, Hideo Kitajima:
Image representation through gray-scale iterated function systems. Syst. Comput. Jpn. 27(9): 55-62 (1996) - 1994
- [c1]Hiroyuki Honda, Taizo Hanai, Y. Nishida, I. Fukaya, Takeshi Kobayashi:
Knowledge-Based Rules for Control of the Sake (Ginjoshu) Making Process and Their Application in Fuzzy Control. IEEE/Nagoya-University World Wisepersons Workshop 1994: 101-110
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